Implement CTABLES procedure. ctables17
authorBen Pfaff <blp@cs.stanford.edu>
Mon, 27 Dec 2021 00:01:47 +0000 (16:01 -0800)
committerBen Pfaff <blp@cs.stanford.edu>
Sun, 28 Aug 2022 21:22:19 +0000 (14:22 -0700)
52 files changed:
NEWS
doc/automake.mk
doc/pspp-figures/ctables1.sps [new file with mode: 0644]
doc/pspp-figures/ctables10.sps [new file with mode: 0644]
doc/pspp-figures/ctables11.sps [new file with mode: 0644]
doc/pspp-figures/ctables12.sps [new file with mode: 0644]
doc/pspp-figures/ctables13.sps [new file with mode: 0644]
doc/pspp-figures/ctables14.sps [new file with mode: 0644]
doc/pspp-figures/ctables15.sps [new file with mode: 0644]
doc/pspp-figures/ctables16.sps [new file with mode: 0644]
doc/pspp-figures/ctables17.sps [new file with mode: 0644]
doc/pspp-figures/ctables18.sps [new file with mode: 0644]
doc/pspp-figures/ctables19.sps [new file with mode: 0644]
doc/pspp-figures/ctables2.sps [new file with mode: 0644]
doc/pspp-figures/ctables20.sps [new file with mode: 0644]
doc/pspp-figures/ctables21.sps [new file with mode: 0644]
doc/pspp-figures/ctables22.sps [new file with mode: 0644]
doc/pspp-figures/ctables23.sps [new file with mode: 0644]
doc/pspp-figures/ctables24.sps [new file with mode: 0644]
doc/pspp-figures/ctables25.sps [new file with mode: 0644]
doc/pspp-figures/ctables26.sps [new file with mode: 0644]
doc/pspp-figures/ctables27.sps [new file with mode: 0644]
doc/pspp-figures/ctables28.sps [new file with mode: 0644]
doc/pspp-figures/ctables29.sps [new file with mode: 0644]
doc/pspp-figures/ctables3.sps [new file with mode: 0644]
doc/pspp-figures/ctables30.sps [new file with mode: 0644]
doc/pspp-figures/ctables31.sps [new file with mode: 0644]
doc/pspp-figures/ctables32.sps [new file with mode: 0644]
doc/pspp-figures/ctables33.sps [new file with mode: 0644]
doc/pspp-figures/ctables34.sps [new file with mode: 0644]
doc/pspp-figures/ctables35.sps [new file with mode: 0644]
doc/pspp-figures/ctables36.sps [new file with mode: 0644]
doc/pspp-figures/ctables4.sps [new file with mode: 0644]
doc/pspp-figures/ctables5.sps [new file with mode: 0644]
doc/pspp-figures/ctables6.sps [new file with mode: 0644]
doc/pspp-figures/ctables7.sps [new file with mode: 0644]
doc/pspp-figures/ctables8.sps [new file with mode: 0644]
doc/pspp-figures/ctables9.sps [new file with mode: 0644]
doc/statistics.texi
doc/tutorial.stt
doc/utilities.texi
doc/variables.texi
examples/automake.mk
examples/nhtsa-drinking-2008.sav [new file with mode: 0644]
examples/nhtsa-drinking-2008.sps [new file with mode: 0644]
examples/nhtsa.sav [new file with mode: 0644]
src/language/command.def
src/language/stats/automake.mk
src/language/stats/ctables.c [new file with mode: 0644]
src/language/stats/ctables.inc [new file with mode: 0644]
tests/automake.mk
tests/language/stats/ctables.at [new file with mode: 0644]

diff --git a/NEWS b/NEWS
index 7f288ded911de09720bbd0013da2f090e2cdbd86..1dbb673689a2b991c15339bf164688d87dff45a0 100644 (file)
--- a/NEWS
+++ b/NEWS
@@ -7,6 +7,8 @@ Please send PSPP bug reports to bug-gnu-pspp@gnu.org.
 
 Changes after 1.6.2:
 
 
 Changes after 1.6.2:
 
+ * The CTABLES command is now implemented.
+
  * FREQUENCIES now honors the LAYERED setting on SPLIT FILE.
 
  * Building from a Git repository, which previously required GIMP, now
  * FREQUENCIES now honors the LAYERED setting on SPLIT FILE.
 
  * Building from a Git repository, which previously required GIMP, now
index 83209001d113bc4fcf5aa02abad31c9c65a68f69..e80d5c5043c02459d9685d418953cfae8d06c009 100644 (file)
@@ -117,6 +117,42 @@ FIGURE_SYNTAX = \
  doc/pspp-figures/chisquare.sps \
  doc/pspp-figures/compute.sps \
  doc/pspp-figures/count.sps \
  doc/pspp-figures/chisquare.sps \
  doc/pspp-figures/compute.sps \
  doc/pspp-figures/count.sps \
+ doc/pspp-figures/ctables1.sps \
+ doc/pspp-figures/ctables2.sps \
+ doc/pspp-figures/ctables3.sps \
+ doc/pspp-figures/ctables4.sps \
+ doc/pspp-figures/ctables5.sps \
+ doc/pspp-figures/ctables6.sps \
+ doc/pspp-figures/ctables7.sps \
+ doc/pspp-figures/ctables8.sps \
+ doc/pspp-figures/ctables9.sps \
+ doc/pspp-figures/ctables10.sps \
+ doc/pspp-figures/ctables11.sps \
+ doc/pspp-figures/ctables12.sps \
+ doc/pspp-figures/ctables13.sps \
+ doc/pspp-figures/ctables14.sps \
+ doc/pspp-figures/ctables15.sps \
+ doc/pspp-figures/ctables16.sps \
+ doc/pspp-figures/ctables17.sps \
+ doc/pspp-figures/ctables18.sps \
+ doc/pspp-figures/ctables19.sps \
+ doc/pspp-figures/ctables20.sps \
+ doc/pspp-figures/ctables21.sps \
+ doc/pspp-figures/ctables22.sps \
+ doc/pspp-figures/ctables23.sps \
+ doc/pspp-figures/ctables24.sps \
+ doc/pspp-figures/ctables25.sps \
+ doc/pspp-figures/ctables26.sps \
+ doc/pspp-figures/ctables27.sps \
+ doc/pspp-figures/ctables28.sps \
+ doc/pspp-figures/ctables29.sps \
+ doc/pspp-figures/ctables30.sps \
+ doc/pspp-figures/ctables31.sps \
+ doc/pspp-figures/ctables32.sps \
+ doc/pspp-figures/ctables33.sps \
+ doc/pspp-figures/ctables34.sps \
+ doc/pspp-figures/ctables35.sps \
+ doc/pspp-figures/ctables36.sps \
  doc/pspp-figures/crosstabs.sps \
  doc/pspp-figures/descriptives.sps \
  doc/pspp-figures/flip.sps \
  doc/pspp-figures/crosstabs.sps \
  doc/pspp-figures/descriptives.sps \
  doc/pspp-figures/flip.sps \
@@ -246,6 +282,13 @@ EXTRA_DIST += doc/tutorial.stt
 .spv.html:
        $(convert) -O format=html -O bare=true
 
 .spv.html:
        $(convert) -O format=html -O bare=true
 
+# Make sure that tutorial.stt outputs all layers, because a few of the
+# examples in the manual rely on that and it would be easy to replace
+# it with a style that didn't.
+ALL_LOCAL += tutorial-stt-must-print-all-layers
+tutorial-stt-must-print-all-layers:
+       $(AM_V_GEN)grep 'printAllLayers="true"' $(srcdir)/doc/tutorial.stt >/dev/null 2>&1 && touch $@
+
 # Convert a text file into a Texinfo file.
 .txt.texi:
        $(AM_V_GEN)$(SED) -e 's/@/@@/g' $< > $@
 # Convert a text file into a Texinfo file.
 .txt.texi:
        $(AM_V_GEN)$(SED) -e 's/@/@@/g' $< > $@
diff --git a/doc/pspp-figures/ctables1.sps b/doc/pspp-figures/ctables1.sps
new file mode 100644 (file)
index 0000000..ca6431a
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=AgeGroup.
diff --git a/doc/pspp-figures/ctables10.sps b/doc/pspp-figures/ctables10.sps
new file mode 100644 (file)
index 0000000..8adb5ff
--- /dev/null
@@ -0,0 +1,4 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a
+    /TABLE=AgeGroup [COLPCT, ROWPCT] BY qns3a.
diff --git a/doc/pspp-figures/ctables11.sps b/doc/pspp-figures/ctables11.sps
new file mode 100644 (file)
index 0000000..d2e064c
--- /dev/null
@@ -0,0 +1,4 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=AgeGroup [COLPCT 'Gender %' PCT5.0,
+                         ROWPCT 'Age Group %' PCT5.0]
+               BY qns3a.
diff --git a/doc/pspp-figures/ctables12.sps b/doc/pspp-figures/ctables12.sps
new file mode 100644 (file)
index 0000000..0ec07bb
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=(AgeGroup + qns1)[COLPCT] BY qns3a.
diff --git a/doc/pspp-figures/ctables13.sps b/doc/pspp-figures/ctables13.sps
new file mode 100644 (file)
index 0000000..723dbed
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
diff --git a/doc/pspp-figures/ctables14.sps b/doc/pspp-figures/ctables14.sps
new file mode 100644 (file)
index 0000000..168d237
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a /SLABELS POSITION=ROW.
diff --git a/doc/pspp-figures/ctables15.sps b/doc/pspp-figures/ctables15.sps
new file mode 100644 (file)
index 0000000..c8b86f7
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=AgeGroup [TABLEPCT] /SLABELS VISIBLE=NO.
diff --git a/doc/pspp-figures/ctables16.sps b/doc/pspp-figures/ctables16.sps
new file mode 100644 (file)
index 0000000..5812ace
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE AgeGroup BY qns3a.
diff --git a/doc/pspp-figures/ctables17.sps b/doc/pspp-figures/ctables17.sps
new file mode 100644 (file)
index 0000000..ffeabf5
--- /dev/null
@@ -0,0 +1,3 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
diff --git a/doc/pspp-figures/ctables18.sps b/doc/pspp-figures/ctables18.sps
new file mode 100644 (file)
index 0000000..847aead
--- /dev/null
@@ -0,0 +1,9 @@
+DATA LIST LIST NOTABLE/x (F8.0) y z (F8.2).
+BEGIN DATA.
+1  . 40
+1 10 50
+1 20 60
+1 30  .
+END DATA.
+VARIABLE LEVEL x (NOMINAL).
+LIST.
diff --git a/doc/pspp-figures/ctables19.sps b/doc/pspp-figures/ctables19.sps
new file mode 100644 (file)
index 0000000..ee9187a
--- /dev/null
@@ -0,0 +1,9 @@
+DATA LIST LIST NOTABLE/x (F8.0) y z (F8.2).
+BEGIN DATA.
+1  . 40
+1 10 50
+1 20 60
+1 30  .
+END DATA.
+VARIABLE LEVEL x (NOMINAL).
+CTABLES /TABLE (y + z) > x.
diff --git a/doc/pspp-figures/ctables2.sps b/doc/pspp-figures/ctables2.sps
new file mode 100644 (file)
index 0000000..bc4dbbe
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=AgeGroup BY qns3a.
diff --git a/doc/pspp-figures/ctables20.sps b/doc/pspp-figures/ctables20.sps
new file mode 100644 (file)
index 0000000..dc76dd4
--- /dev/null
@@ -0,0 +1,9 @@
+DATA LIST LIST NOTABLE/x (F8.0) y z (F8.2).
+BEGIN DATA.
+1  . 40
+1 10 50
+1 20 60
+1 30  .
+END DATA.
+VARIABLE LEVEL x (NOMINAL).
+CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
diff --git a/doc/pspp-figures/ctables21.sps b/doc/pspp-figures/ctables21.sps
new file mode 100644 (file)
index 0000000..c5396fa
--- /dev/null
@@ -0,0 +1,9 @@
+DATA LIST LIST NOTABLE/x (F8.0) y z (F8.2).
+BEGIN DATA.
+1  . 40
+1 10 50
+1 20 60
+1 30  .
+END DATA.
+VARIABLE LEVEL x (NOMINAL).
+CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
diff --git a/doc/pspp-figures/ctables22.sps b/doc/pspp-figures/ctables22.sps
new file mode 100644 (file)
index 0000000..205814c
--- /dev/null
@@ -0,0 +1,5 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=ALL DISPLAY=NAME
+    /TABLE qn61 > qn57 BY qnd7a > qn86 + qn64b BY qns3a[TABLEID, LAYERID, SUBTABLEID]
+    /SLABELS POSITION=ROW.
diff --git a/doc/pspp-figures/ctables23.sps b/doc/pspp-figures/ctables23.sps
new file mode 100644 (file)
index 0000000..df37390
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE AgeGroup BY qns3a [ROWPCT, COLPCT].
diff --git a/doc/pspp-figures/ctables24.sps b/doc/pspp-figures/ctables24.sps
new file mode 100644 (file)
index 0000000..7a12c08
--- /dev/null
@@ -0,0 +1,4 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /TABLE AgeGroup BY qns3a [ROWPCT, COLPCT]
+    /CLABELS COLLABELS=OPPOSITE.
diff --git a/doc/pspp-figures/ctables25.sps b/doc/pspp-figures/ctables25.sps
new file mode 100644 (file)
index 0000000..f52da99
--- /dev/null
@@ -0,0 +1,4 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE (qn105ba + qn105bb) [COLPCT].
+CTABLES /TABLE (qn105ba + qn105bb) [ROWPCT]
+  /CLABELS ROW=OPPOSITE.
diff --git a/doc/pspp-figures/ctables26.sps b/doc/pspp-figures/ctables26.sps
new file mode 100644 (file)
index 0000000..270dfe6
--- /dev/null
@@ -0,0 +1,4 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /TABLE qnd7a [COUNT, TOTALS[COUNT, VALIDN]]
+    /CATEGORIES VARIABLES=qnd7a TOTAL=YES MISSING=INCLUDE.
diff --git a/doc/pspp-figures/ctables27.sps b/doc/pspp-figures/ctables27.sps
new file mode 100644 (file)
index 0000000..bc613c0
--- /dev/null
@@ -0,0 +1,3 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE qn1.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [1, 2, 3].
diff --git a/doc/pspp-figures/ctables28.sps b/doc/pspp-figures/ctables28.sps
new file mode 100644 (file)
index 0000000..dd8ffb4
--- /dev/null
@@ -0,0 +1,3 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE qn1.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 MISSING=INCLUDE.
diff --git a/doc/pspp-figures/ctables29.sps b/doc/pspp-figures/ctables29.sps
new file mode 100644 (file)
index 0000000..944ab1e
--- /dev/null
@@ -0,0 +1,6 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /TABLE qn1
+    /CATEGORIES VARIABLES=qn1 [OTHERNM, SUBTOTAL='Valid Total',
+                               MISSING, SUBTOTAL='Missing Total']
+                             TOTAL=YES LABEL='Overall Total'.
diff --git a/doc/pspp-figures/ctables3.sps b/doc/pspp-figures/ctables3.sps
new file mode 100644 (file)
index 0000000..4736cce
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE AgeGroup > qns3a BY qn86.
diff --git a/doc/pspp-figures/ctables30.sps b/doc/pspp-figures/ctables30.sps
new file mode 100644 (file)
index 0000000..569e4ae
--- /dev/null
@@ -0,0 +1,3 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=qn20 [MEAN F8.1, COUNT, VALIDN] > region
+    /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
diff --git a/doc/pspp-figures/ctables31.sps b/doc/pspp-figures/ctables31.sps
new file mode 100644 (file)
index 0000000..bde6fa5
--- /dev/null
@@ -0,0 +1,3 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE=qns1.
+CTABLES /TABLE=qns1 /CATEGORIES VARIABLES=qns1 EMPTY=EXCLUDE.
diff --git a/doc/pspp-figures/ctables32.sps b/doc/pspp-figures/ctables32.sps
new file mode 100644 (file)
index 0000000..8884509
--- /dev/null
@@ -0,0 +1,15 @@
+DATA LIST LIST NOTABLE /x y (F1.0) z (F10.0).
+VARIABLE LEVEL z (SCALE).
+MISSING VALUES x y (9).
+BEGIN DATA.
+1 1 1
+1 2 10
+1 9 100
+2 1 1000
+2 2 10000
+2 9 100000
+9 1 1000000
+9 2 10000000
+9 9 100000000
+END DATA.
+LIST.
diff --git a/doc/pspp-figures/ctables33.sps b/doc/pspp-figures/ctables33.sps
new file mode 100644 (file)
index 0000000..ef768b8
--- /dev/null
@@ -0,0 +1,15 @@
+DATA LIST LIST NOTABLE /x y (F1.0) z (F10.0).
+VARIABLE LEVEL z (SCALE).
+MISSING VALUES x y (9).
+BEGIN DATA.
+1 1 1
+1 2 10
+1 9 100
+2 1 1000
+2 2 10000
+2 9 100000
+9 1 1000000
+9 2 10000000
+9 9 100000000
+END DATA.
+CTABLES /TABLE x > y > z [SUM].
diff --git a/doc/pspp-figures/ctables34.sps b/doc/pspp-figures/ctables34.sps
new file mode 100644 (file)
index 0000000..e8ef373
--- /dev/null
@@ -0,0 +1,16 @@
+DATA LIST LIST NOTABLE /x y (F1.0) z (F10.0).
+VARIABLE LEVEL z (SCALE).
+MISSING VALUES x y (9).
+BEGIN DATA.
+1 1 1
+1 2 10
+1 9 100
+2 1 1000
+2 2 10000
+2 9 100000
+9 1 1000000
+9 2 10000000
+9 9 100000000
+END DATA.
+CTABLES /TABLE x > y > z [SUM] /CATEGORIES VARIABLES=y MISSING=INCLUDE.
+CTABLES /TABLE x > y > z [SUM] /CATEGORIES VARIABLES=x y MISSING=INCLUDE.
diff --git a/doc/pspp-figures/ctables35.sps b/doc/pspp-figures/ctables35.sps
new file mode 100644 (file)
index 0000000..7024f9d
--- /dev/null
@@ -0,0 +1,11 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /PCOMPUTE &all_drivers=EXPR([1 THRU 2] + [3 THRU 4])
+    /PPROPERTIES &all_drivers LABEL='All Drivers'
+    /PCOMPUTE &pct_never=EXPR([5] / ([1 THRU 2] + [3 THRU 4] + [5]) * 100)
+    /PPROPERTIES &pct_never LABEL='% Not Drivers' FORMAT=COUNT PCT40.1
+    /TABLE=qn1 BY qns3a
+    /CATEGORIES VARIABLES=qn1 [1 THRU 2, SUBTOTAL='Frequent Drivers',
+                               3 THRU 4, SUBTOTAL='Infrequent Drivers',
+                              &all_drivers, 5, &pct_never,
+                              MISSING, SUBTOTAL='Not Drivers or Missing'].
diff --git a/doc/pspp-figures/ctables36.sps b/doc/pspp-figures/ctables36.sps
new file mode 100644 (file)
index 0000000..6ee7387
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /HIDESMALLCOUNTS COUNT=10 /TABLE qn37.
diff --git a/doc/pspp-figures/ctables4.sps b/doc/pspp-figures/ctables4.sps
new file mode 100644 (file)
index 0000000..4ddee23
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE AgeGroup + qn1 BY qns3a.
diff --git a/doc/pspp-figures/ctables5.sps b/doc/pspp-figures/ctables5.sps
new file mode 100644 (file)
index 0000000..ba12f4b
--- /dev/null
@@ -0,0 +1,3 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE qn26 + qn27 > qns3a.
+CTABLES /TABLE (qn26 + qn27) > qns3a.
diff --git a/doc/pspp-figures/ctables6.sps b/doc/pspp-figures/ctables6.sps
new file mode 100644 (file)
index 0000000..9cbaf89
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE qnd1.
diff --git a/doc/pspp-figures/ctables7.sps b/doc/pspp-figures/ctables7.sps
new file mode 100644 (file)
index 0000000..678570a
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE qnd1 > qns3a BY lang.
diff --git a/doc/pspp-figures/ctables8.sps b/doc/pspp-figures/ctables8.sps
new file mode 100644 (file)
index 0000000..799195a
--- /dev/null
@@ -0,0 +1,2 @@
+GET FILE='nhtsa.sav'.
+CTABLES /TABLE qns3a > qnd1 BY lang.
diff --git a/doc/pspp-figures/ctables9.sps b/doc/pspp-figures/ctables9.sps
new file mode 100644 (file)
index 0000000..e049444
--- /dev/null
@@ -0,0 +1,4 @@
+GET FILE='nhtsa.sav'.
+CTABLES
+    /TABLE qn20 BY qns3a
+    /TABLE qn20 [C] BY qns3a.
index 01976e27c950fa4ef21087dc40e0fadbd668a3ee..e23f894080dec901acc9940909b5d1204647bd93 100644 (file)
@@ -20,6 +20,7 @@ far.
 * GRAPH::                       Plot data.
 * CORRELATIONS::                Correlation tables.
 * CROSSTABS::                   Crosstabulation tables.
 * GRAPH::                       Plot data.
 * CORRELATIONS::                Correlation tables.
 * CROSSTABS::                   Crosstabulation tables.
+* CTABLES::                     Custom tables.
 * FACTOR::                      Factor analysis and Principal Components analysis.
 * GLM::                         Univariate Linear Models.
 * LOGISTIC REGRESSION::         Bivariate Logistic Regression.
 * FACTOR::                      Factor analysis and Principal Components analysis.
 * GLM::                         Univariate Linear Models.
 * LOGISTIC REGRESSION::         Bivariate Logistic Regression.
@@ -897,6 +898,1334 @@ person's occupation.
 @caption {The results of a test of independence between @exvar{sex} and @exvar{occupation}}
 @end float
 
 @caption {The results of a test of independence between @exvar{sex} and @exvar{occupation}}
 @end float
 
+@node CTABLES
+@section CTABLES
+
+@vindex CTABLES
+@cindex custom tables
+@cindex tables, custom
+
+@code{CTABLES} has the following overall syntax.  At least one
+@code{TABLE} subcommand is required:
+
+@display
+@t{CTABLES}
+  @dots{}@i{global subcommands}@dots{}
+  [@t{/TABLE} @i{axis} [@t{BY} @i{axis} [@t{BY} @i{axis}]]
+   @dots{}@i{per-table subcommands}@dots{}]@dots{}
+@end display
+
+@noindent
+where each @i{axis} may be empty or take one of the following forms:
+
+@display
+@i{variable}
+@i{variable} @t{[}@{@t{C} @math{|} @t{S}@}@t{]}
+@i{axis} + @i{axis}
+@i{axis} > @i{axis}
+(@i{axis})
+@i{axis} @t{[}@i{summary} [@i{string}] [@i{format}]@t{]}
+@end display
+
+The following subcommands precede the first @code{TABLE} subcommand
+and apply to all of the output tables.  All of these subcommands are
+optional:
+
+@display
+@t{/FORMAT}
+    [@t{MINCOLWIDTH=}@{@t{DEFAULT} @math{|} @i{width}@}]
+    [@t{MAXCOLWIDTH=}@{@t{DEFAULT} @math{|} @i{width}@}]
+    [@t{UNITS=}@{@t{POINTS} @math{|} @t{INCHES} @math{|} @t{CM}@}]
+    [@t{EMPTY=}@{@t{ZERO} @math{|} @t{BLANK} @math{|} @i{string}@}]
+    [@t{MISSING=}@i{string}]
+@t{/VLABELS}
+    @t{VARIABLES=}@i{variables}
+    @t{DISPLAY}=@{@t{DEFAULT} @math{|} @t{NAME} @math{|} @t{LABEL} @math{|} @t{BOTH} @math{|} @t{NONE}@}
+@ignore @c not yet implemented
+@t{/MRSETS COUNTDUPLICATES=}@{@t{YES} @math{|} @t{NO}@}
+@end ignore
+@t{/SMISSING} @{@t{VARIABLE} @math{|} @t{LISTWISE}@}
+@t{/PCOMPUTE} @t{&}@i{postcompute}@t{=EXPR(}@i{expression}@t{)}
+@t{/PPROPERTIES} @t{&}@i{postcompute}@dots{}
+    [@t{LABEL=}@i{string}]
+    [@t{FORMAT=}[@i{summary} @i{format}]@dots{}]
+    [@t{HIDESOURCECATS=}@{@t{NO} @math{|} @t{YES}@}
+@t{/WEIGHT VARIABLE=}@i{variable}
+@t{/HIDESMALLCOUNTS COUNT=@i{count}}
+@end display
+
+The following subcommands follow @code{TABLE} and apply only to the
+previous @code{TABLE}.  All of these subcommands are optional:
+
+@display
+@t{/SLABELS}
+    [@t{POSITION=}@{@t{COLUMN} @math{|} @t{ROW} @math{|} @t{LAYER}@}]
+    [@t{VISIBLE=}@{@t{YES} @math{|} @t{NO}@}]
+@t{/CLABELS} @{@t{AUTO} @math{|} @{@t{ROWLABELS}@math{|}@t{COLLABELS}@}@t{=}@{@t{OPPOSITE}@math{|}@t{LAYER}@}@}
+@t{/CATEGORIES} @t{VARIABLES=}@i{variables}
+    @{@t{[}@i{value}@t{,} @i{value}@dots{}@t{]}
+   @math{|} [@t{ORDER=}@{@t{A} @math{|} @t{D}@}]
+     [@t{KEY=}@{@t{VALUE} @math{|} @t{LABEL} @math{|} @i{summary}@t{(}@i{variable}@t{)}@}]
+     [@t{MISSING=}@{@t{EXCLUDE} @math{|} @t{INCLUDE}@}]@}
+    [@t{TOTAL=}@{@t{NO} @math{|} @t{YES}@} [@t{LABEL=}@i{string}] [@t{POSITION=}@{@t{AFTER} @math{|} @t{BEFORE}@}]]
+    [@t{EMPTY=}@{@t{INCLUDE} @math{|} @t{EXCLUDE}@}]
+@t{/TITLES}
+    [@t{TITLE=}@i{string}@dots{}]
+    [@t{CAPTION=}@i{string}@dots{}]
+    [@t{CORNER=}@i{string}@dots{}]
+@ignore  @c not yet implemented
+@t{/CRITERIA CILEVEL=}@i{percentage}
+@t{/SIGTEST TYPE=CHISQUARE}
+    [@t{ALPHA=}@i{siglevel}]
+    [@t{INCLUDEMRSETS=}@{@t{YES} @math{|} @t{NO}@}]
+    [@t{CATEGORIES=}@{@t{ALLVISIBLE} @math{|} @t{SUBTOTALS}@}]
+@t{/COMPARETEST TYPE=}@{@t{PROP} @math{|} @t{MEAN}@}
+    [@t{ALPHA=}@i{value}[@t{,} @i{value}]]
+    [@t{ADJUST=}@{@t{BONFERRONI} @math{|} @t{BH} @math{|} @t{NONE}@}]
+    [@t{INCLUDEMRSETS=}@{@t{YES} @math{|} @t{NO}@}]
+    [@t{MEANSVARIANCE=}@{@t{ALLCATS} @math{|} @t{TESTEDCATS}@}]
+    [@t{CATEGORIES=}@{@t{ALLVISIBLE} @math{|} @t{SUBTOTALS}@}]
+    [@t{MERGE=}@{@t{NO} @math{|} @t{YES}@}]
+    [@t{STYLE=}@{@t{APA} @math{|} @t{SIMPLE}@}]
+    [@t{SHOWSIG=}@{@t{NO} @math{|} @t{YES}@}]
+@end ignore
+@end display
+
+The @code{CTABLES} (aka ``custom tables'') command produces
+multi-dimensional tables from categorical and scale data.  It offers
+many options for data summarization and formatting.
+
+This section's examples use data from the 2008 (USA) National Survey
+of Drinking and Driving Attitudes and Behaviors, a public domain data
+set from the (USA) National Highway Traffic Administration and
+available at @url{https://data.transportation.gov}.  @pspp{} includes
+this data set, with a slightly modified dictionary, as
+@file{examples/nhtsa.sav}.
+
+@node CTABLES Basics
+@subsection Basics
+
+The only required subcommand is @code{TABLE}, which specifies the
+variables to include along each axis:
+@display
+@t{/TABLE} @i{rows} [@t{BY} @i{columns} [@t{BY} @i{layers}]]
+@end display
+@noindent
+In @code{TABLE}, each of @var{rows}, @var{columns}, and @var{layers}
+is either empty or an axis expression that specifies one or more
+variables.  At least one must specify an axis expression.
+
+@node CTABLES Categorical Variable Basics
+@subsubsection Categorical Variables
+
+An axis expression that names a categorical variable divides the data
+into cells according to the values of that variable.  When all the
+variables named on @code{TABLE} are categorical, by default each cell
+displays the number of cases that it contains, so specifying a single
+variable yields a frequency table, much like the output of the
+@code{FREQUENCIES} command (@pxref{FREQUENCIES}):
+
+@example
+CTABLES /TABLE=AgeGroup.
+@end example
+@psppoutput {ctables1}
+
+@noindent
+Specifying a row and a column categorical variable yields a
+crosstabulation, much like the output of the @code{CROSSTABS} command
+(@pxref{CROSSTABS}):
+
+@example
+CTABLES /TABLE=AgeGroup BY qns3a.
+@end example
+@psppoutput {ctables2}
+
+@noindent
+The @samp{>} ``nesting'' operator nests multiple variables on a single
+axis, e.g.:
+
+@example
+CTABLES /TABLE qn105ba BY AgeGroup > qns3a.
+@end example
+@psppoutput {ctables3}
+
+@noindent
+The @samp{+} ``stacking'' operator allows a single output table to
+include multiple data analyses.  With @samp{+}, @code{CTABLES} divides
+the output table into multiple @dfn{sections}, each of which includes
+an analysis of the full data set.  For example, the following command
+separately tabulates age group and driving frequency by gender:
+
+@example
+CTABLES /TABLE AgeGroup + qn1 BY qns3a.
+@end example
+@psppoutput {ctables4}
+
+@noindent
+When @samp{+} and @samp{>} are used together, @samp{>} binds more
+tightly.  Use parentheses to override operator precedence.  Thus:
+
+@example
+CTABLES /TABLE qn26 + qn27 > qns3a.
+CTABLES /TABLE (qn26 + qn27) > qns3a.
+@end example
+@psppoutput {ctables5}
+
+@node CTABLES Scalar Variable Basics
+@subsubsection Scalar Variables
+
+For a categorical variable, @code{CTABLES} divides the table into a
+cell per category.  For a scalar variable, @code{CTABLES} instead
+calculates a summary measure, by default the mean, of the values that
+fall into a cell.  For example, if the only variable specified is a
+scalar variable, then the output is a single cell that holds the mean
+of all of the data:
+
+@example
+CTABLES /TABLE qnd1.
+@end example
+@psppoutput {ctables6}
+
+A scalar variable may nest with categorical variables.  The following
+example shows the mean age of survey respondents across gender and
+language groups:
+
+@example
+CTABLES /TABLE qns3a > qnd1 BY region.
+@end example
+@psppoutput {ctables7}
+
+The order of nesting of scalar and categorical variables affects table
+labeling, but it does not affect the data displayed in the table.  The
+following example shows how the output changes when the nesting order
+of the scalar and categorical variable are interchanged:
+
+@example
+CTABLES /TABLE qnd1 > qns3a BY region.
+@end example
+@psppoutput {ctables8}
+
+Only a single scalar variable may appear in each section; that is, a
+scalar variable may not nest inside a scalar variable directly or
+indirectly.  Scalar variables may only appear on one axis within
+@code{TABLE}.
+
+@node CTABLES Overriding Measurement Level
+@subsubsection Overriding Measurement Level
+
+By default, @code{CTABLES} uses a variable's measurement level to
+decide whether to treat it as categorical or scalar.  Variables
+assigned the nominal or ordinal measurement level are treated as
+categorical, and scalar variables are treated as scalar.
+
+When @pspp{} reads data from a file in an external format, such as a
+text file, variables' measurement levels are often unknown.  If
+@code{CTABLES} runs when a variable has an unknown measurement level,
+it makes an initial pass through the data to guess measurement levels
+using the rules described in an earlier section (@pxref{Measurement
+Level}).  Use the @code{VARIABLE LEVEL} command to set or change a
+variable's measurement level (@pxref{VARIABLE LEVEL}).
+
+To treat a variable as categorical or scalar only for one use on
+@code{CTABLES}, add @samp{[C]} or @samp{[S]}, respectively, after the
+variable name.  The following example shows the output when variable
+@code{qn20} is analyzed as scalar (the default for its measurement
+level) and as categorical:
+
+@example
+CTABLES
+    /TABLE qn20 BY qns3a
+    /TABLE qn20 [C] BY qns3a.
+@end example
+@psppoutput {ctables9}
+
+@ignore
+@node CTABLES Multiple Response Sets
+@subsubheading Multiple Response Sets
+
+The @code{CTABLES} command does not yet support multiple response
+sets.
+@end ignore
+
+@node CTABLES Data Summarization
+@subsection Data Summarization
+
+The @code{CTABLES} command allows the user to control how the data are
+summarized with @dfn{summary specifications}, syntax that lists one or
+more summary function names, optionally separated by commas, and which
+are enclosed in square brackets following a variable name on the
+@code{TABLE} subcommand.  When all the variables are categorical,
+summary specifications can be given for the innermost nested variables
+on any one axis.  When a scalar variable is present, only the scalar
+variable may have summary specifications.
+
+The following example includes a summary specification for column and
+row percentages for categorical variables, and mean and median for a
+scalar variable:
+
+@example
+CTABLES
+    /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a
+    /TABLE=AgeGroup [COLPCT, ROWPCT] BY qns3a.
+@end example
+@psppoutput {ctables10}
+
+A summary specification may override the default label and format by
+appending a string or format specification or both (in that order) to
+the summary function name.  For example:
+
+@example
+CTABLES /TABLE=AgeGroup [COLPCT 'Gender %' PCT5.0,
+                         ROWPCT 'Age Group %' PCT5.0]
+               BY qns3a.
+@end example
+@psppoutput {ctables11}
+
+In addition to the standard formats, @code{CTABLES} allows the user to
+specify the following special formats:
+
+@multitable {@code{NEGPAREN@i{w}.@i{d}}} {Encloses all numbers in parentheses.} {@t{(42.96%)}} {@t{(-42.96%)}}
+@item @code{NEGPAREN@i{w}.@i{d}}
+@tab Encloses negative numbers in parentheses.
+@tab @t{@w{    }42.96}
+@tab @t{@w{  }(42.96)}
+
+@item @code{NEQUAL@i{w}.@i{d}}
+@tab Adds a @code{N=} prefix.
+@tab @t{@w{  }N=42.96}
+@tab @t{@w{ }N=-42.96}
+
+@item @code{@code{PAREN@i{w}.@i{d}}}
+@tab Encloses all numbers in parentheses.
+@tab @t{@w{  }(42.96)}
+@tab @t{@w{ }(-42.96)}
+
+@item @code{PCTPAREN@i{w}.@i{d}}
+@tab Encloses all numbers in parentheses with a @samp{%} suffix.
+@tab @t{@w{ }(42.96%)}
+@tab @t{(-42.96%)}
+@end multitable
+
+Parentheses provide a shorthand to apply summary specifications to
+multiple variables.  For example, both of these commands:
+
+@example
+CTABLES /TABLE=AgeGroup[COLPCT] + qns1[COLPCT] BY qns3a.
+CTABLES /TABLE=(AgeGroup + qns1)[COLPCT] BY qns3a.
+@end example
+
+@noindent
+produce the same output shown below:
+
+@psppoutput {ctables12}
+
+The following sections list the available summary functions.  After
+each function's name is given its default label and format.  If no
+format is listed, then the default format is the print format for the
+variable being summarized.
+
+@node CTABLES Summary Functions for Individual Cells
+@subsubsection Summary Functions for Individual Cells
+
+This section lists the summary functions that consider only an
+individual cell in @code{CTABLES}.  Only one such summary function,
+@code{COUNT}, may be applied to both categorical and scale variables:
+
+@table @asis
+@item @code{COUNT} (``Count'', F40.0)
+The sum of weights in a cell.
+
+If @code{CATEGORIES} for one or more of the variables in a table
+include missing values (@pxref{CTABLES Per-Variable Category
+Options}), then some or all of the categories for a cell might be
+missing values.  @code{COUNT} counts data included in a cell
+regardless of whether its categories are missing.
+@end table
+
+The following summary functions apply only to scale variables or
+totals and subtotals for categorical variables.  Be cautious about
+interpreting the summary value in the latter case, because it is not
+necessarily meaningful; however, the mean of a Likert scale, etc.@:
+may have a straightforward interpreation.
+
+@table @asis
+@item @code{MAXIMUM} (``Maximum'')
+The largest value.
+
+@item @code{MEAN} (``Mean'')
+The mean.
+
+@item @code{MEDIAN} (``Median'')
+The median value.
+
+@item @code{MINIMUM} (``Minimum'')
+The smallest value.
+
+@item @code{MISSING} (``Missing'')
+Sum of weights of user- and system-missing values.
+
+@item @code{MODE} (``Mode'')
+The highest-frequency value.  Ties are broken by taking the smallest mode.
+
+@item @code{PTILE} @i{n} (``Percentile @i{n}'')
+The @var{n}th percentile, where @math{0 @leq{} @var{n} @leq{} 100}.
+
+@item @code{RANGE} (``Range'')
+The maximum minus the minimum.
+
+@item @code{SEMEAN} (``Std Error of Mean'')
+The standard error of the mean.
+
+@item @code{STDDEV} (``Std Deviation'')
+The standard deviation.
+
+@item @code{SUM} (``Sum'')
+The sum.
+
+@item @code{TOTALN} (``Total N'', F40.0)
+The sum of weights in a cell.
+
+For scale data, @code{COUNT} and @code{TOTALN} are the same.
+
+For categorical data, @code{TOTALN} counts missing values in excluded
+categories, that is, user-missing values not in an explicit category
+list on @code{CATEGORIES} (@pxref{CTABLES Per-Variable Category
+Options}), or user-missing values excluded because
+@code{MISSING=EXCLUDE} is in effect on @code{CATEGORIES}, or
+system-missing values.  @code{COUNT} does not count these.
+
+@xref{CTABLES Missing Values for Summary Variables}, for details of
+how @code{CTABLES} summarizes missing values.
+
+@item @code{VALIDN} (``Valid N'', F40.0)
+The sum of valid count weights in included categories.
+
+For categorical variables, @code{VALIDN} does not count missing values
+regardless of whether they are in included categories via
+@code{CATEGORIES}.  @code{VALIDN} does not count valid values that are
+in excluded categories.  @xref{CTABLES Missing Values for Summary
+Variables}, for details.
+
+@item @code{VARIANCE} (``Variance'')
+The variance.
+@end table
+
+@node CTABLES Summary Functions for Groups of Cells
+@subsubsection Summary Functions for Groups of Cells
+
+These summary functions summarize over multiple cells within an area
+of the output chosen by the user and specified as part of the function
+name.  The following basic @var{area}s are supported, in decreasing
+order of size:
+
+@table @code
+@item TABLE
+A @dfn{section}.  Stacked variables divide sections of the output from
+each other.  sections may span multiple layers.
+
+@item LAYER
+A section within a single layer.
+
+@item SUBTABLE
+A @dfn{subtable}, whose contents are the cells that pair an innermost
+row variable and an innermost column variable within a single layer.
+@end table
+
+The following shows how the output for the table expression @code{qn61
+> qn57 BY qnd7a > qn86 + qn64b BY qns3a}@footnote{This is not
+necessarily a meaningful table, so for clarity variable labels are
+omitted.} is divided up into @code{TABLE}, @code{LAYER}, and
+@code{SUBTABLE} areas.  Each unique value for Table ID is one section,
+and similarly for Layer ID and Subtable ID.  Thus, this output has two
+@code{TABLE} areas (one for @code{qnd7a} and one for @code{qn64b}),
+four @code{LAYER} areas (for those two variables, per layer), and 12
+@code{SUBTABLE} areas.
+@psppoutput {ctables22}
+
+@code{CTABLES} also supports the following @var{area}s that further
+divide a subtable or a layer within a section:
+
+@table @code
+@item LAYERROW
+@itemx LAYERCOL
+A row or column, respectively, in one layer of a section.
+
+@item ROW
+@itemx COL
+A row or column, respectively, in a subtable.
+@end table
+
+The following summary functions for groups of cells are available for
+each @var{area} described above, for both categorical and scale
+variables:
+
+@table @asis
+@item @code{@i{area}PCT} or @code{@i{area}PCT.COUNT} (``@i{Area} %'', PCT40.1)
+A percentage of total counts within @var{area}.
+
+@item @code{@i{area}PCT.VALIDN} (``@i{Area} Valid N %'', PCT40.1)
+A percentage of total counts for valid values within @var{area}.
+
+@item @code{@i{area}PCT.TOTALN} (``@i{Area} Total N %'', PCT40.1)
+A percentage of total counts for all values within @var{area}.
+@end table
+
+Scale variables and totals and subtotals for categorical variables may
+use the following additional group cell summary function:
+
+@table @asis
+@item @code{@i{area}PCT.SUM} (``@i{Area} Sum %'', PCT40.1)
+Percentage of the sum of the values within @var{area}.
+@end table
+
+@node CTABLES Summary Functions for Adjusted Weights
+@subsubsection Summary Functions for Adjusted Weights
+
+If the @code{WEIGHT} subcommand specified an effective weight variable
+(@pxref{CTABLES Effective Weight}), then the following summary functions
+use its value instead of the dictionary weight variable.  Otherwise,
+they are equivalent to the summary function without the
+@samp{E}-prefix:
+
+@itemize @bullet
+@item
+@code{ECOUNT} (``Adjusted Count'', F40.0)
+
+@item
+@code{ETOTALN} (``Adjusted Total N'', F40.0)
+
+@item
+@code{EVALIDN} (``Adjusted Valid N'', F40.0)
+@end itemize
+
+@node CTABLES Unweighted Summary Functions
+@subsubsection Unweighted Summary Functions
+
+The following summary functions with a @samp{U}-prefix are equivalent
+to the same ones without the prefix, except that they use unweighted
+counts:
+
+@itemize @bullet
+@item
+@code{UCOUNT} (``Unweighted Count'', F40.0)
+
+@item
+@code{U@i{area}PCT} or @code{U@i{area}PCT.COUNT} (``Unweighted @i{Area} %'', PCT40.1)
+
+@item
+@code{U@i{area}PCT.VALIDN} (``Unweighted @i{Area} Valid N %'', PCT40.1)
+
+@item
+@code{U@i{area}PCT.TOTALN} (``Unweighted @i{Area} Total N %'', PCT40.1)
+
+@item
+@code{UMEAN} (``Unweighted Mean'')
+
+@item
+@code{UMEDIAN} (``Unweighted Median'')
+
+@item
+@code{UMISSING} (``Unweighted Missing'')
+
+@item
+@code{UMODE} (``Unweighted Mode'')
+
+@item
+@code{U@i{area}PCT.SUM} (``Unweighted @i{Area} Sum %'', PCT40.1)
+
+@item
+@code{UPTILE} @i{n} (``Unweighted Percentile @i{n}'') 
+
+@item
+@code{USEMEAN} (``Unweighted Std Error of Mean'')
+
+@item
+@code{USTDDEV} (``Unweighted Std Deviation'')
+
+@item
+@code{USUM} (``Unweighted Sum'')
+
+@item
+@code{UTOTALN} (``Unweighted Total N'', F40.0)
+
+@item
+@code{UVALIDN} (``Unweighted Valid N'', F40.0)
+
+@item
+@code{UVARIANCE} (``Unweighted Variance'', F40.0)
+@end itemize
+
+@node CTABLES Statistics Positions and Labels
+@subsection Statistics Positions and Labels
+
+@display
+@t{/SLABELS}
+    [@t{POSITION=}@{@t{COLUMN} @math{|} @t{ROW} @math{|} @t{LAYER}@}]
+    [@t{VISIBLE=}@{@t{YES} @math{|} @t{NO}@}]
+@end display
+
+The @code{SLABELS} subcommand controls the position and visibility of
+summary statistics for the @code{TABLE} subcommand that it follows.
+
+@code{POSITION} sets the axis on which summary statistics appear.
+With @t{POSITION=COLUMN}, which is the default, each summary statistic
+appears in a column.  For example:
+
+@example
+CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
+@end example
+@psppoutput {ctables13}
+
+@noindent
+With @t{POSITION=ROW}, each summary statistic appears in a row, as
+shown below:
+
+@example
+CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a /SLABELS POSITION=ROW.
+@end example
+@psppoutput {ctables14}
+
+@noindent
+@t{POSITION=LAYER} is also available to place each summary statistic in
+a separate layer.
+
+Labels for summary statistics are shown by default.  Use
+@t{VISIBLE=NO} to suppress them.  Because unlabeled data can cause
+confusion, it should only be considered if the meaning of the data is
+evident, as in a simple case like this:
+
+@example
+CTABLES /TABLE=AgeGroup [TABLEPCT] /SLABELS VISIBLE=NO.
+@end example
+@psppoutput {ctables15}
+
+@node CTABLES Category Label Positions
+@subsection Category Label Positions
+
+@display
+@t{/CLABELS} @{@t{AUTO} @math{|} @{@t{ROWLABELS}@math{|}@t{COLLABELS}@}@t{=}@{@t{OPPOSITE}@math{|}@t{LAYER}@}@}
+@end display
+
+The @code{CLABELS} subcommand controls the position of category labels
+for the @code{TABLE} subcommand that it follows.  By default, or if
+@t{AUTO} is specified, category labels for a given variable nest
+inside the variable's label on the same axis.  For example, the
+command below results in age categories nesting within the age group
+variable on the rows axis and gender categories within the gender
+variable on the columns axis:
+
+@example
+CTABLES /TABLE AgeGroup BY qns3a.
+@end example
+@psppoutput {ctables16}
+
+@t{ROWLABELS=OPPOSITE} or @t{COLLABELS=OPPOSITE} move row or column
+variable category labels, respectively, to the opposite axis.  The
+setting affects only the innermost variable or variables, which must
+be categorical, on the given axis.  For example:
+
+@example
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
+@end example
+@psppoutput {ctables17}
+
+@t{ROWLABELS=LAYER} or @t{COLLABELS=LAYER} move the innermost row or
+column variable category labels, respectively, to the layer axis.
+
+Only one axis's labels may be moved, whether to the opposite axis or
+to the layer axis.
+
+@subsubheading Effect on Summary Statistics
+
+@code{CLABELS} primarily affects the appearance of tables, not the
+data displayed in them.  However, @code{CTABLES} can affect the values
+displayed for statistics that summarize areas of a table, since it can
+change the definitions of these areas.
+
+For example, consider the following syntax and output:
+
+@example
+CTABLES /TABLE AgeGroup BY qns3a [ROWPCT, COLPCT].
+@end example
+@psppoutput {ctables23}
+
+@noindent
+Using @code{COLLABELS=OPPOSITE} changes the definitions of rows and
+columns, so that column percentages display what were previously row
+percentages and the new row percentages become meaningless (because
+there is only one cell per row):
+
+@example
+CTABLES
+    /TABLE AgeGroup BY qns3a [ROWPCT, COLPCT]
+    /CLABELS COLLABELS=OPPOSITE.
+@end example
+@psppoutput {ctables24}
+
+@subsubheading Moving Categories for Stacked Variables
+
+If @code{CLABELS} moves category labels from an axis with stacked
+variables, the variables that are moved must have the same category
+specifications (@pxref{CTABLES Per-Variable Category Options}) and the
+same value labels.
+
+The following shows both moving stacked category variables and
+adapting to the changing definitions of rows and columns:
+
+@example
+CTABLES /TABLE (qn105ba + qn105bb) [COLPCT].
+CTABLES /TABLE (qn105ba + qn105bb) [ROWPCT]
+  /CLABELS ROW=OPPOSITE.
+@end example
+@psppoutput {ctables25}
+
+@node CTABLES Per-Variable Category Options
+@subsection Per-Variable Category Options
+
+@display
+@t{/CATEGORIES} @t{VARIABLES=}@i{variables}
+    @{@t{[}@i{value}@t{,} @i{value}@dots{}@t{]}
+   @math{|} [@t{ORDER=}@{@t{A} @math{|} @t{D}@}]
+     [@t{KEY=}@{@t{VALUE} @math{|} @t{LABEL} @math{|} @i{summary}@t{(}@i{variable}@t{)}@}]
+     [@t{MISSING=}@{@t{EXCLUDE} @math{|} @t{INCLUDE}@}]@}
+    [@t{TOTAL=}@{@t{NO} @math{|} @t{YES}@} [@t{LABEL=}@i{string}] [@t{POSITION=}@{@t{AFTER} @math{|} @t{BEFORE}@}]]
+    [@t{EMPTY=}@{@t{INCLUDE} @math{|} @t{EXCLUDE}@}]
+@end display
+
+The @code{CATEGORIES} subcommand specifies, for one or more
+categorical variables, the categories to include and exclude, the sort
+order for included categories, and treatment of missing values.  It
+also controls the totals and subtotals to display.  It may be
+specified any number of times, each time for a different set of
+variables.  @code{CATEGORIES} applies to the table produced by the
+@code{TABLE} subcommand that it follows.
+
+@code{CATEGORIES} does not apply to scalar variables.
+
+@t{VARIABLES} is required and must list the variables for the subcommand
+to affect.
+
+The syntax may specify the categories to include and their sort order
+either explicitly or implicitly.  The following sections give the
+details of each form of syntax, followed by information on totals and
+subtotals and the @code{EMPTY} setting.
+
+@node CTABLES Explicit Categories
+@subsubsection Explicit Categories
+
+@anchor{CTABLES Explicit Category List}
+
+To use @code{CTABLES} to explicitly specify categories to include,
+list the categories within square brackets in the desired sort order.
+Use spaces or commas to separate values.  Categories not covered by
+the list are excluded from analysis.
+
+Each element of the list takes one of the following forms:
+
+@table @t
+@item @i{number}
+@itemx '@i{string}'
+A numeric or string category value, for variables that have the
+corresponding type.
+
+@item '@i{date}'
+@itemx '@i{time}'
+A date or time category value, for variables that have a date or time
+print format.
+
+@item @i{min} THRU @i{max}
+@itemx LO THRU @i{max}
+@itemx @i{min} THRU HI
+A range of category values, where @var{min} and @var{max} each takes
+one of the forms above, in increasing order.
+
+@item MISSING
+All user-missing values.  (To match individual user-missing values,
+specify their category values.)
+
+@item OTHERNM
+Any non-missing value not covered by any other element of the list
+(regardless of where @t{OTHERNM} is placed in the list).
+
+@item &@i{postcompute}
+A computed category name (@pxref{CTABLES Computed Categories}).
+
+@item SUBTOTAL
+@itemx HSUBTOTAL
+A subtotal (@pxref{CTABLES Totals and Subtotals}).
+@end table
+
+If multiple elements of the list cover a given category, the last one
+in the list takes precedence.
+
+The following example syntax and output show how an explicit category
+can limit the displayed categories:
+
+@example
+CTABLES /TABLE qn1.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [1, 2, 3].
+@end example
+@psppoutput {ctables27}
+
+@node CTABLES Implicit Categories
+@subsubsection Implicit Categories
+
+In the absence of an explicit list of categories, @code{CATEGORIES}
+allows @code{KEY}, @code{ORDER}, and @code{MISSING} to specify how to
+select and sort categories.
+
+The @code{KEY} setting specifies the sort key.  By default, or with
+@code{KEY=VALUE}, categories are sorted by default.  Categories may
+also be sorted by value label, with @code{KEY=LABEL}, or by the value
+of a summary function, e.g.@: @code{KEY=COUNT}.
+@ignore  @c Not yet implemented
+For summary functions, a variable name may be specified in
+parentheses, e.g.@: @code{KEY=MAXIUM(qnd1)}, and this is required for
+functions that apply only to scalar variables.  The @code{PTILE}
+function also requires a percentage argument, e.g.@:
+@code{KEY=PTILE(qnd1, 90)}.  Only summary functions used in the table
+may be used, except that @code{COUNT} is always allowed.
+@end ignore
+
+By default, or with @code{ORDER=A}, categories are sorted in ascending
+order.  Specify @code{ORDER=D} to sort in descending order.
+
+User-missing values are excluded by default, or with
+@code{MISSING=EXCLUDE}.  Specify @code{MISSING=INCLUDE} to include
+user-missing values.  The system-missing value is always excluded.
+
+The following example syntax and output show how
+@code{MISSING=INCLUDE} causes missing values to be included in a
+category list.
+
+@example
+CTABLES /TABLE qn1.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 MISSING=INCLUDE.
+@end example
+@psppoutput {ctables28}
+
+@node CTABLES Totals and Subtotals
+@subsubsection Totals and Subtotals
+
+@code{CATEGORIES} also controls display of totals and subtotals.  By
+default, or with @code{TOTAL=NO}, totals are not displayed.  Use
+@code{TOTAL=YES} to display a total.  By default, the total is labeled
+``Total''; use @code{LABEL="@i{label}"} to override it.
+
+Subtotals are also not displayed by default.  To add one or more
+subtotals, use an explicit category list and insert @code{SUBTOTAL} or
+@code{HSUBTOTAL} in the position or positions where the subtotal
+should appear.  The subtotal becomes an extra row or column or layer.
+@code{HSUBTOTAL} additionally hides the categories that make up the
+subtotal.  Either way, the default label is ``Subtotal'', use
+@code{SUBTOTAL="@i{label}"} or @code{HSUBTOTAL="@i{label}"} to specify
+a custom label.
+
+The following example syntax and output show how to use
+@code{TOTAL=YES} and @code{SUBTOTAL}:
+
+@example
+CTABLES
+    /TABLE qn1
+    /CATEGORIES VARIABLES=qn1 [OTHERNM, SUBTOTAL='Valid Total',
+                               MISSING, SUBTOTAL='Missing Total']
+                             TOTAL=YES LABEL='Overall Total'.
+@end example
+@psppoutput {ctables29}
+
+By default, or with @code{POSITION=AFTER}, totals are displayed in the
+output after the last category and subtotals apply to categories that
+precede them.  With @code{POSITION=BEFORE}, totals come before the
+first category and subtotals apply to categories that follow them.
+
+Only categorical variables may have totals and subtotals.  Scalar
+variables may be ``totaled'' indirectly by enabling totals and
+subtotals on a categorical variable within which the scalar variable
+is summarized.  For example, the following syntax produces a mean,
+count, and valid count across all data by adding a total on the
+categorical @code{region} variable, as shown:
+
+@example
+CTABLES /TABLE=region > qn20 [MEAN, VALIDN]
+    /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
+@end example
+@psppoutput {ctables30}
+
+By default, @pspp{} uses the same summary functions for totals and
+subtotals as other categories.  To summarize totals and subtotals
+differently, specify the summary functions for totals and subtotals
+after the ordinary summary functions inside a nested set of @code{[]}
+following @code{TOTALS}.  For example, the following syntax displays
+@code{COUNT} for individual categories and totals and @code{VALIDN}
+for totals, as shown:
+
+@example
+CTABLES
+    /TABLE qnd7a [COUNT, TOTALS[COUNT, VALIDN]]
+    /CATEGORIES VARIABLES=qnd7a TOTAL=YES MISSING=INCLUDE.
+@end example
+@psppoutput {ctables26}
+
+@node CTABLES Categories Without Values
+@subsubsection Categories Without Values
+
+Some categories might not be included in the data set being analyzed.
+For example, our example data set has no cases in the ``15 or
+younger'' age group.  By default, or with @code{EMPTY=INCLUDE},
+@pspp{} includes these empty categories in output tables.  To exclude
+them, specify @code{EMPTY=EXCLUDE}.
+
+For implicit categories, empty categories potentially include all the
+values with value labels for a given variable; for explicit
+categories, they include all the values listed individually and all
+values with value labels that are covered by ranges or @code{MISSING}
+or @code{OTHERNM}.
+
+The following example syntax and output show the effect of
+@code{EMPTY=EXCLUDE} for the @code{qns1} variable, in which 0 is labeled
+``None'' but no cases exist with that value:
+
+@example
+CTABLES /TABLE=qns1.
+CTABLES /TABLE=qns1 /CATEGORIES VARIABLES=qns1 EMPTY=EXCLUDE.
+@end example
+@psppoutput {ctables31}
+
+@node CTABLES Titles
+@subsection Titles
+
+@display
+@t{/TITLES}
+    [@t{TITLE=}@i{string}@dots{}]
+    [@t{CAPTION=}@i{string}@dots{}]
+    [@t{CORNER=}@i{string}@dots{}]
+@end display
+
+The @code{TITLES} subcommand sets the title, caption, and corner text
+for the table output for the previous @code{TABLE} subcommand.  Any
+number of strings may be specified for each kind of text, with each
+string appearing on a separate line in the output.  The title appears
+above the table, the caption below the table, and the corner text
+appears in the table's upper left corner.  By default, the title is
+``Custom Tables'' and the caption and corner text are empty.  With
+some table output styles, the corner text is not displayed.
+
+The strings provided in this subcommand may contain the following
+macro-like keywords that @pspp{} substitutes at the time that it runs
+the command:
+
+@table @code @c (
+@item )DATE
+The current date, e.g.@: MM/DD/YY.  The format is locale-dependent.
+
+@c (
+@item )TIME
+The current time, e.g.@: HH:MM:SS.  The format is locale-dependent.
+
+@c (
+@item )TABLE
+The expression specified on the @code{TABLE} command.  Summary
+and measurement level specifications are omitted, and variable labels are used in place of variable names.
+@end table
+
+@node CTABLES Table Formatting
+@subsection Table Formatting
+
+@display
+@t{/FORMAT}
+    [@t{MINCOLWIDTH=}@{@t{DEFAULT} @math{|} @i{width}@}]
+    [@t{MAXCOLWIDTH=}@{@t{DEFAULT} @math{|} @i{width}@}]
+    [@t{UNITS=}@{@t{POINTS} @math{|} @t{INCHES} @math{|} @t{CM}@}]
+    [@t{EMPTY=}@{@t{ZERO} @math{|} @t{BLANK} @math{|} @i{string}@}]
+    [@t{MISSING=}@i{string}]
+@end display
+
+The @code{FORMAT} subcommand, which must precede the first
+@code{TABLE} subcommand, controls formatting for all the output
+tables.  @code{FORMAT} and all of its settings are optional.
+
+Use @code{MINCOLWIDTH} and @code{MAXCOLWIDTH} to control the minimum
+or maximum width of columns in output tables.  By default, with
+@code{DEFAULT}, column width varies based on content.  Otherwise,
+specify a number for either or both of these settings.  If both are
+specified, @code{MAXCOLWIDTH} must be greater than or equal to
+@code{MINCOLWIDTH}.  The default unit, or with @code{UNITS=POINTS}, is
+points (1/72 inch), or specify @code{UNITS=INCHES} to use inches or
+@code{UNITS=CM} for centimeters.  @pspp{} does not currently honor any
+of these settings.
+
+By default, or with @code{EMPTY=ZERO}, zero values are displayed in
+their usual format.  Use @code{EMPTY=BLANK} to use an empty cell
+instead, or @code{EMPTY="@i{string}"} to use the specified string.
+
+By default, missing values are displayed as @samp{.}, the same as in
+other tables.  Specify @code{MISSING="@i{string}"} to instead use a
+custom string.
+
+@node CTABLES Display of Variable Labels
+@subsection Display of Variable Labels
+
+@display
+@t{/VLABELS}
+    @t{VARIABLES=}@i{variables}
+    @t{DISPLAY}=@{@t{DEFAULT} @math{|} @t{NAME} @math{|} @t{LABEL} @math{|} @t{BOTH} @math{|} @t{NONE}@}
+@end display
+
+The @code{VLABELS} subcommand, which must precede the first
+@code{TABLE} subcommand, controls display of variable labels in all
+the output tables.  @code{VLABELS} is optional.  It may appear
+multiple times to adjust settings for different variables.
+
+@code{VARIABLES} and @code{DISPLAY} are required.  The value of
+@code{DISPLAY} controls how variable labels are displayed for the
+variables listed on @code{VARIABLES}.  The supported values are:
+
+@table @code
+@item DEFAULT
+Use the setting from @code{SET TVARS} (@pxref{SET TVARS}).
+
+@item NAME
+Show only a variable name.
+
+@item LABEL
+Show only a variable label.
+
+@item BOTH
+Show variable name and label.
+
+@item NONE
+Show nothing.
+@end table
+
+@node CTABLES Missing Value Treatment
+@subsection Missing Value Treatment
+
+The @code{TABLE} subcommand on @code{CTABLES} specifies two different
+kinds of variables: variables that divide tables into cells (which are
+always categorical) and variables being summarized (which may be
+categorical or scale).  @pspp{} treats missing values differently in
+each kind of variable, as described in the sections below.
+
+@node CTABLES Missing Values for Cell-Defining Variables
+@subsubsection Missing Values for Cell-Defining Variables
+
+For variables that divide tables into cells, per-variable category
+options, as described in @ref{CTABLES Per-Variable Category Options},
+determine which data is analyzed.  If any of the categories for such a
+variable would exclude a case, then that case is not included.
+
+As an example, consider the following entirely artificial dataset, in
+which @samp{x} and @samp{y} are categorical variables with missing
+value 9, and @samp{z} is scale:
+
+@psppoutput{ctables32}
+
+Using @samp{x} and @samp{y} to define cells, and summarizing @samp{z},
+by default @pspp{} omits all the cases that have @samp{x} or @samp{y} (or both)
+missing:
+
+@example
+CTABLES /TABLE x > y > z [SUM].
+@end example
+@psppoutput{ctables33}
+
+If, however, we add @code{CATEGORIES} specifications to include
+missing values for @samp{y} or for @samp{x} and @samp{y}, the output
+table includes them, like so:
+
+@example
+CTABLES /TABLE x > y > z [SUM] /CATEGORIES VARIABLES=y MISSING=INCLUDE.
+CTABLES /TABLE x > y > z [SUM] /CATEGORIES VARIABLES=x y MISSING=INCLUDE.
+@end example
+@psppoutput{ctables34}
+
+@node CTABLES Missing Values for Summary Variables
+@subsubsection Missing Values for Summary Variables
+
+For summary variables, values that are valid and in included
+categories are analyzed, and values that are missing or in excluded
+categories are not analyzed, with the following exceptions:
+
+@itemize @bullet
+@item
+The ``@t{VALIDN}'' summary functions (@code{VALIDN}, @code{EVALIDN},
+@code{UVALIDN}, @code{@i{area}PCT.VALIDN}, and
+@code{U@i{area}PCT.VALIDN}) only count valid values in included
+categories (not missing values in included categories).
+
+@item
+The ``@t{TOTALN}'' summary functions (@code{TOTALN}, @code{ETOTALN},
+@code{UTOTALN}, @code{@i{area}PCT.TOTALN}), and
+@code{U@i{area}PCT.TOTALN} count all values (valid and missing) in
+included categories and missing (but not valid) values in excluded
+categories.
+@end itemize
+
+@noindent
+For categorical variables, system-missing values are never in included
+categories.  For scale variables, there is no notion of included and
+excluded categories, so all values are effectively included.
+
+The following table provides another view of the above rules:
+
+@multitable {@w{ }@w{ }@w{ }@w{ }Missing values in excluded categories} {@t{VALIDN}} {other} {@t{TOTALN}}
+@headitem @tab @t{VALIDN} @tab other @tab @t{TOTALN}
+@item @headitemfont{Categorical variables:}
+@item @w{ }@w{ }@w{ }@w{ }Valid values in included categories   @tab yes @tab yes @tab yes
+@item @w{ }@w{ }@w{ }@w{ }Missing values in included categories @tab --- @tab yes @tab yes
+@item @w{ }@w{ }@w{ }@w{ }Missing values in excluded categories @tab --- @tab --- @tab yes
+@item @w{ }@w{ }@w{ }@w{ }Valid values in excluded categories   @tab --- @tab --- @tab ---
+@item @headitemfont{Scale variables:}
+@item @w{ }@w{ }@w{ }@w{ }Valid values                          @tab yes @tab yes @tab yes
+@item @w{ }@w{ }@w{ }@w{ }User- or system-missing values        @tab --- @tab yes @tab yes
+@end multitable
+
+@node CTABLES Scale Missing Values
+@subsubsection Scale Missing Values
+
+@display
+@t{/SMISSING} @{@t{VARIABLE} @math{|} @t{LISTWISE}@}
+@end display
+
+The @code{SMISSING} subcommand, which must precede the first
+@code{TABLE} subcommand, controls treatment of missing values for
+scalar variables in producing all the output tables.  @code{SMISSING}
+is optional.
+
+With @code{SMISSING=VARIABLE}, which is the default, missing values
+are excluded on a variable-by-variable basis.  With
+@code{SMISSING=LISTWISE}, when stacked scalar variables are nested
+together with a categorical variable, a missing value for any of the
+scalar variables causes the case to be excluded for all of them.
+
+As an example, consider the following dataset, in which @samp{x} is a
+categorical variable and @samp{y} and @samp{z} are scale:
+
+@psppoutput{ctables18}
+
+@noindent
+With the default missing-value treatment, @samp{x}'s mean is 20, based
+on the values 10, 20, and 30, and @samp{y}'s mean is 50, based on 40,
+50, and 60:
+
+@example
+CTABLES /TABLE (y + z) > x.
+@end example
+@psppoutput{ctables19}
+
+@noindent
+By adding @code{SMISSING=LISTWISE}, only cases where @samp{y} and
+@samp{z} are both non-missing are considered, so @samp{x}'s mean
+becomes 15, as the average of 10 and 20, and @samp{y}'s mean becomes
+55, the average of 50 and 60:
+
+@example
+CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
+@end example
+@psppoutput{ctables20}
+
+@noindent
+Even with @code{SMISSING=LISTWISE}, if @samp{y} and @samp{z} are
+separately nested with @samp{x}, instead of using a single @samp{>}
+operator, missing values revert to being considered on a
+variable-by-variable basis:
+
+@example
+CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
+@end example
+@psppoutput{ctables21}
+
+@node CTABLES Computed Categories
+@subsection Computed Categories
+
+@display
+@t{/PCOMPUTE} @t{&}@i{postcompute}@t{=EXPR(}@i{expression}@t{)}
+@t{/PPROPERTIES} @t{&}@i{postcompute}@dots{}
+    [@t{LABEL=}@i{string}]
+    [@t{FORMAT=}[@i{summary} @i{format}]@dots{}]
+    [@t{HIDESOURCECATS=}@{@t{NO} @math{|} @t{YES}@}
+@end display
+
+@dfn{Computed categories}, also called @dfn{postcomputes}, are
+categories created using arithmetic on categories obtained from the
+data.  The @code{PCOMPUTE} subcommand creates a postcompute, which may
+then be used on @code{CATEGORIES} within an explicit category list
+(@pxref{CTABLES Explicit Category List}).  Optionally,
+@code{PPROPERTIES} refines how a postcompute is displayed.  The
+following sections provide the details.
+
+@node CTABLES PCOMPUTE
+@subsubsection PCOMPUTE
+
+@display
+@t{/PCOMPUTE} @t{&}@i{postcompute}@t{=EXPR(}@i{expression}@t{)}
+@end display
+
+The @code{PCOMPUTE} subcommand, which must precede the first
+@code{TABLE} command, defines computed categories.  It is optional and
+may be used any number of times to define multiple postcomputes.
+
+Each @code{PCOMPUTE} defines one postcompute.  Its syntax consists of
+a name to identify the postcompute as a @pspp{} identifier prefixed by
+@samp{&}, followed by @samp{=} and a postcompute expression enclosed
+in @code{EXPR(@dots{})}.  A postcompute expression consists of:
+
+@table @t
+@item [@i{category}]
+This form evaluates to the summary statistic for @i{category}, e.g.@:
+@code{[1]} evaluates to the value of the summary statistic associated
+with category 1.  The @i{category} may be a number, a quoted string,
+or a quoted time or date value.  All of the categories for a given
+postcompute must have the same form.  The category must appear in all
+the @code{CATEGORIES} list in which the postcompute is used.
+
+@item [@i{min} THRU @i{max}]
+@itemx [LO THRU @i{max}]
+@itemx [@i{min} THRU HI]
+@itemx MISSING
+@itemx OTHERNM
+These forms evaluate to the summary statistics for a category
+specified with the same syntax, as described in previous section
+(@pxref{CTABLES Explicit Category List}).  The category must appear in
+all the @code{CATEGORIES} list in which the postcompute is used.
+
+@item SUBTOTAL
+The summary statistic for the subtotal category.  This form is allowed
+only if the @code{CATEGORIES} lists that include this postcompute have
+exactly one subtotal.
+
+@item SUBTOTAL[@i{index}]
+The summary statistic for subtotal category @i{index}, where 1 is the
+first subtotal, 2 is the second, and so on.  This form may be used for
+@code{CATEGORIES} lists with any number of subtotals.
+
+@item TOTAL
+The summary statistic for the total.  The @code{CATEGORIES} lsits that
+include this postcompute must have a total enabled.
+
+@item @i{a} + @i{b}
+@itemx @i{a} - @i{b}
+@itemx @i{a} * @i{b}
+@itemx @i{a} / @i{b}
+@itemx @i{a} ** @i{b}
+These forms perform arithmetic on the values of postcompute
+expressions @i{a} and @i{b}.  The usual operator precedence rules
+apply.
+
+@item @i{number}
+Numeric constants may be used in postcompute expressions.
+
+@item (@i{a})
+Parentheses override operator precedence.
+@end table
+
+A postcompute is not associated with any particular variable.
+Instead, it may be referenced within @code{CATEGORIES} for any
+suitable variable (e.g.@: only a string variable is suitable for a
+postcompute expression that refers to a string category, only a
+variable with subtotals for an expression that refers to subtotals,
+@dots{}).
+
+Normally a named postcompute is defined only once, but if a later
+@code{PCOMPUTE} redefines a postcompute with the same name as an
+earlier one, the later one take precedence.
+
+The following syntax and output shows how @code{PCOMPUTE} can compute
+a total over subtotals, summing the ``Frequent Drivers'' and
+``Infrequent Drivers'' subtotals to form an ``All Drivers''
+postcompute.  It also shows how to calculate and display a percentage,
+in this case the percentage of valid responses that report never
+driving.  It uses @code{PPROPERTIES} (@pxref{CTABLES PPROPERTIES}) to
+display the latter in @code{PCT} format.
+
+@example
+CTABLES
+    /PCOMPUTE &all_drivers=EXPR([1 THRU 2] + [3 THRU 4])
+    /PPROPERTIES &all_drivers LABEL='All Drivers'
+    /PCOMPUTE &pct_never=EXPR([5] / ([1 THRU 2] + [3 THRU 4] + [5]) * 100)
+    /PPROPERTIES &pct_never LABEL='% Not Drivers' FORMAT=COUNT PCT40.1
+    /TABLE=qn1 BY qns3a
+    /CATEGORIES VARIABLES=qn1 [1 THRU 2, SUBTOTAL='Frequent Drivers',
+                               3 THRU 4, SUBTOTAL='Infrequent Drivers',
+                              &all_drivers, 5, &pct_never,
+                              MISSING, SUBTOTAL='Not Drivers or Missing'].
+@end example
+@psppoutput{ctables35}
+
+@node CTABLES PPROPERTIES
+@subsubsection PPROPERTIES
+
+@display
+@t{/PPROPERTIES} @t{&}@i{postcompute}@dots{}
+    [@t{LABEL=}@i{string}]
+    [@t{FORMAT=}[@i{summary} @i{format}]@dots{}]
+    [@t{HIDESOURCECATS=}@{@t{NO} @math{|} @t{YES}@}
+@end display
+
+The @code{PPROPERTIES} subcommand, which must appear before
+@code{TABLE}, sets properties for one or more postcomputes defined on
+prior @code{PCOMPUTE} subcommands.  The subcommand syntax begins with
+the list of postcomputes, each prefixed with @samp{&} as specified on
+@code{PCOMPUTE}.
+
+All of the settings on @code{PPROPERTIES} are optional.  Use
+@code{LABEL} to set the label shown for the postcomputes in table
+output.  The default label for a postcompute is the expression used to
+define it.
+
+A postcompute always uses same summary functions as the variable whose
+categories contain it, but @code{FORMAT} allows control over the
+format used to display their values.  It takes a list of summary
+function names and format specifiers.
+
+By default, or with @code{HIDESOURCECATS=NO}, categories referred to
+by computed categories are displayed like other categories.  Use
+@code{HIDESOURCECATS=YES} to hide them.
+
+The previous section provides an example for @code{PPROPERTIES}.
+
+@node CTABLES Effective Weight
+@subsection Effective Weight
+
+@display
+@t{/WEIGHT VARIABLE=}@i{variable}
+@end display
+
+The @code{WEIGHT} subcommand is optional and must appear before
+@code{TABLE}.  If it appears, it must name a numeric variable, known
+as the @dfn{effective weight} or @dfn{adjustment weight}.  The
+effective weight variable stands in for the dictionary's weight
+variable (@pxref{WEIGHT}), if any, in most calculations in
+@code{CTABLES}.  The only exceptions are the @code{COUNT},
+@code{TOTALN}, and @code{VALIDN} summary functions, which use the
+dictionary weight instead.
+
+Weights obtained from the @pspp{} dictionary are rounded to the
+nearest integer at the case level.  Effective weights are not rounded.
+Regardless of the weighting source, @pspp{} does not analyze cases
+with zero, missing, or negative effective weights.
+
+@node CTABLES Hiding Small Counts
+@subsection Hiding Small Counts
+
+@display
+@t{/HIDESMALLCOUNTS COUNT=@i{count}}
+@end display
+
+The @code{HIDESMALLCOUNTS} subcommand is optional.  If it specified,
+then @code{COUNT}, @code{ECOUNT}, and @code{UCOUNT} values in output
+tables less than the value of @i{count} are shown as @code{<@i{count}}
+instead of their true values.  The value of @i{count} must be an
+integer and must be at least 2.
+
+The following syntax and example shows how to use
+@code{HIDESMALLCOUNTS}:
+
+@example
+CTABLES /HIDESMALLCOUNTS COUNT=10 /TABLE qn37.
+@end example
+@psppoutput{ctables36}
 
 @node FACTOR
 @section FACTOR
 
 @node FACTOR
 @section FACTOR
index 130ae9b23baa2b68217d59dc417a4f680d6107be..5c15a7130d717630b05547fefd95a2fac537519d 100644 (file)
@@ -49,5 +49,5 @@
         <horizontalCategoryBorderColumns borderStyleType="solid" color="#000000"/>
         <verticalCategoryBorderColumns borderStyleType="solid" color="#000000"/>
     </borderProperties>
         <horizontalCategoryBorderColumns borderStyleType="solid" color="#000000"/>
         <verticalCategoryBorderColumns borderStyleType="solid" color="#000000"/>
     </borderProperties>
-    <printingProperties printAllLayers="false" rescaleLongTableToFitPage="false" rescaleWideTableToFitPage="false" windowOrphanLines="0"/>
+    <printingProperties printAllLayers="true" rescaleLongTableToFitPage="false" rescaleWideTableToFitPage="false" windowOrphanLines="0"/>
 </tableProperties>
 </tableProperties>
index 4cad836ad11eaac66c8dbfc537c0e24209ad13c5..5062ead2eb65bb5512f9d2b0d9416b1747a7bf8c 100644 (file)
@@ -861,6 +861,7 @@ If the value has no label, then the literal value is used for display.
 If @subcmd{TNUMBERS} is set to @subcmd{BOTH}, then values are displayed with both their label
 (if any) and their literal value in parentheses.
 @item TVARS
 If @subcmd{TNUMBERS} is set to @subcmd{BOTH}, then values are displayed with both their label
 (if any) and their literal value in parentheses.
 @item TVARS
+@anchor{SET TVARS}
 The @subcmd{TVARS} option sets the way in which variables are displayed in output tables.
 The valid settings are @subcmd{NAMES}, @subcmd{LABELS} and @subcmd{BOTH}.
 If @subcmd{TVARS} is set to @subcmd{NAMES}, then all variables are displayed using their names.
 The @subcmd{TVARS} option sets the way in which variables are displayed in output tables.
 The valid settings are @subcmd{NAMES}, @subcmd{LABELS} and @subcmd{BOTH}.
 If @subcmd{TVARS} is set to @subcmd{NAMES}, then all variables are displayed using their names.
index 5cc1a23620a9d530fa142b0db15675f93f14c47c..ab6f83daea2d91c815ebc42e5edd106dafd827d1 100644 (file)
@@ -600,18 +600,12 @@ purposes.   It does not affect the display of variables in the @pspp{} output.
 @section VARIABLE LEVEL
 @vindex VARIABLE LEVEL
 @display
 @section VARIABLE LEVEL
 @vindex VARIABLE LEVEL
 @display
-VARIABLE LEVEL
-        @var{var_list} ( SCALE | NOMINAL | ORDINAL )
-        [ /@var{var_list} ( SCALE | NOMINAL | ORDINAL ) ]
-        .
-        .
-        .
-        [ /@var{var_list} ( SCALE | NOMINAL | ORDINAL ) ]
+@t{VARIABLE LEVEL} @i{variables} @t{(}@{@t{SCALE} @math{|} @t{NOMINAL} @math{|} @t{ORDINAL}@}@t{)}@dots{}
 @end display
 
 @end display
 
-@cmd{VARIABLE LEVEL} sets the measurement level of  variables.
-Currently, this has no effect except for certain third party software.
-
+@cmd{VARIABLE LEVEL} sets the measurement level of @var{variables} as
+specified.  @xref{Attributes}, for the definitions of the available
+measurement levels.
 
 @node VARIABLE ROLE
 @section VARIABLE ROLE
 
 @node VARIABLE ROLE
 @section VARIABLE ROLE
index fd78765c00bc9b86fecfdd025d8f3a572fe190dc..b20cfea8a978344be16125800f4bcfca5f3e6e04 100644 (file)
@@ -25,10 +25,14 @@ examples_DATA = \
        examples/grid.sps \
        examples/hotel.sav \
        examples/horticulture.sav \
        examples/grid.sps \
        examples/hotel.sav \
        examples/horticulture.sav \
+       examples/nhtsa.sav \
        examples/personnel.sav \
        examples/physiology.sav \
        examples/repairs.sav \
        examples/regress.sps \
        examples/regress_categorical.sps
 
        examples/personnel.sav \
        examples/physiology.sav \
        examples/repairs.sav \
        examples/regress.sps \
        examples/regress_categorical.sps
 
-EXTRA_DIST += $(examples_DATA)
+EXTRA_DIST += \
+       $(examples_DATA) \
+       examples/nhtsa-drinking-2008.sav \
+       examples/nhtsa-drinking-2008.sps
diff --git a/examples/nhtsa-drinking-2008.sav b/examples/nhtsa-drinking-2008.sav
new file mode 100644 (file)
index 0000000..bae9e01
Binary files /dev/null and b/examples/nhtsa-drinking-2008.sav differ
diff --git a/examples/nhtsa-drinking-2008.sps b/examples/nhtsa-drinking-2008.sps
new file mode 100644 (file)
index 0000000..84cbc6a
--- /dev/null
@@ -0,0 +1,102 @@
+* This syntax reads 'nhtsa-drinking-2008.sav', which is the exact file
+  obtained from data.gov and adjusts the dictionary to better reflect
+  the data's real measurement levels, formats, missing values, and
+  other metadata, and saves it as 'nhtsa.sav'.
+
+GET 'nhtsa-drinking-2008.sav'.
+VARIABLE LEVEL
+   ALL (NOMINAL)
+   qns1 qn1 qn15 qn49 qn87 qn103 qn105ba TO qn105bd qn122c qn139a TO qn139n qn139ca TO qn139cn qn140aa TO qn140af qnd8 qnd11 (ORDINAL)
+   id qn18 qn19a qn20 qn23 qn31 qn35 qn36 qn38 qn41 qn44 qn52 qn65 qn66 qn114 qn121 qn126 qnd1 qnd1b qnd9 (SCALE).
+FORMATS
+    state qns1 qn1 (F2.0)
+    qn100 qn102 qn103 qn116 qn123 qn131a qn133 qn139a qn139e qn139g qn139h (F1.0).
+MISSING VALUES
+    qns1 (97, 98, 99)
+    qn1 (6, 7)
+    qn15 (8, 9)
+    qn17 (2, 3)
+    qn18 (98, 99)
+    qn19a (97, 98, 99)
+    qn20 qn23 (98, 99)
+    qn26 qn27 qn28 qn29 (3, 4)
+    qn31 (98, 99)
+    qn33 (3, 4)
+    qn35 (998, 999)
+    qn36 (98, 99)
+    qn37 (2, 3)
+    qn38 (998, 999)
+    qn39h (0)
+    qn39m (0)
+    qn41 (998, 999)
+    qn43a (3, 4)
+    qn44 (98, 99)
+    qn44a (98, 99)
+    qn49 (5, 6)
+    qn52 (998, 999)
+    qn56 (2, 3)
+    qn57 (3, 4)
+    qn61 (3, 4)
+    qn64b (3, 4)
+    qn65 (98, 99)
+    qn65a (3, 4)
+    qn66 (98, 99)
+    qn86 (3, 4)
+    qn87 (6, 7)
+    qn88_1 qn88_2 qn88_3 (2, 3)
+    qn89 qn90 qn90a (3, 4)
+    qn91_1 qn91_2 qn91_3 (2, 3)
+    qn96a (3, 4)
+    qn100 (3, 4)
+    qn101 (2, 3)
+    qn102 qn102b qn102c (3, 4)
+    qn103 (4, 5)
+    qn105ba qn105bb qn105bc qn105bd (6, 7)
+    qn113 (3, 4)
+    qn114 (98, 99)
+    qn116 (7, 8)
+    qn120 (3, 4)
+    qn121 (998, 999)
+    qn122c (6, 7)
+    qn123 (3, 4)
+    qn126 (98, 99)
+    qn131a (3, 4)
+    qn132a (3, 4)
+    qn133 (3, 4)
+    qn139a qn139e qn139g qn139h qn139k qn139l qn139m qn139n (6, 7)
+    qn139_a (3, 4)
+    qn139_b (98, 99)
+    qn139ca qn139ce qn139cf qn139cg qn139ch qn139ck qn139cl qn139cn (6, 7)
+    qn140aa qn140ab qn140ac qn140ad qn140ae qn140af (6, 7)
+    qnd1 (998, 999)
+    qnd1b (8, 9)
+    qnd2_1 qnd2_2 qnd2_3 (2, 3)
+    qnd3 (10, 11)
+    qnd5 (3, 4)
+    qnd5a (9, 10)
+    qnd6_1 qnd6_2 qnd6_3 qnd6_4 qnd6_5 (2, 3)
+    qnd7a (3, 4)
+    qnd8 (8, 9)
+    qnd9 (997, 998, 999)
+    qnd11a (3, 4)
+    qnd11 (6, 7).
+RECODE qnd1 (LO THRU 15=1)
+            (16 THRU 25=2)
+            (26 THRU 35=3)
+            (36 THRU 45=4)
+            (46 THRU 55=5)
+            (56 THRU 65=6)
+            (66 THRU HI=7)
+       INTO agegroup.
+VAR LEVEL agegroup (ORDINAL).
+VARIABLE LABEL agegroup 'Age group'.
+VALUE LABELS
+    /agegroup
+     1 '15 or younger'
+     2 '16 to 25'
+     3 '26 to 35'
+     4 '36 to 45'
+     5 '46 to 55'
+     6 '56 to 65'
+     7 '66 or older'.
+SAVE OUTFILE='nhtsa.sav'.
diff --git a/examples/nhtsa.sav b/examples/nhtsa.sav
new file mode 100644 (file)
index 0000000..48d0143
Binary files /dev/null and b/examples/nhtsa.sav differ
index 352f7c107893067ce6e3ae8ce873d211969b3e27..6db5e74e2e60b54bfe28603f9fc833c03a2166b3 100644 (file)
@@ -114,6 +114,7 @@ DEF_CMD (S_DATA, 0, "AUTORECODE", cmd_autorecode)
 DEF_CMD (S_DATA, 0, "BEGIN DATA", cmd_begin_data)
 DEF_CMD (S_DATA, 0, "COUNT", cmd_count)
 DEF_CMD (S_DATA, 0, "CROSSTABS", cmd_crosstabs)
 DEF_CMD (S_DATA, 0, "BEGIN DATA", cmd_begin_data)
 DEF_CMD (S_DATA, 0, "COUNT", cmd_count)
 DEF_CMD (S_DATA, 0, "CROSSTABS", cmd_crosstabs)
+DEF_CMD (S_DATA, 0, "CTABLES", cmd_ctables)
 DEF_CMD (S_DATA, 0, "CORRELATIONS", cmd_correlation)
 DEF_CMD (S_DATA, 0, "DELETE VARIABLES", cmd_delete_variables)
 DEF_CMD (S_DATA, 0, "DESCRIPTIVES", cmd_descriptives)
 DEF_CMD (S_DATA, 0, "CORRELATIONS", cmd_correlation)
 DEF_CMD (S_DATA, 0, "DELETE VARIABLES", cmd_delete_variables)
 DEF_CMD (S_DATA, 0, "DESCRIPTIVES", cmd_descriptives)
@@ -194,7 +195,6 @@ UNIMPL_CMD ("CSLOGISTIC", "Complex samples logistic regression")
 UNIMPL_CMD ("CSPLAN", "Complex samples design")
 UNIMPL_CMD ("CSSELECT", "Select complex samples")
 UNIMPL_CMD ("CSTABULATE", "Tabulate complex samples")
 UNIMPL_CMD ("CSPLAN", "Complex samples design")
 UNIMPL_CMD ("CSSELECT", "Select complex samples")
 UNIMPL_CMD ("CSTABULATE", "Tabulate complex samples")
-UNIMPL_CMD ("CTABLES", "Display complex samples")
 UNIMPL_CMD ("CURVEFIT", "Fit curve to line plot")
 UNIMPL_CMD ("DATE", "Create time series data")
 UNIMPL_CMD ("DETECTANOMALY", "Find unusual cases")
 UNIMPL_CMD ("CURVEFIT", "Fit curve to line plot")
 UNIMPL_CMD ("DATE", "Create time series data")
 UNIMPL_CMD ("DETECTANOMALY", "Find unusual cases")
index 460e95e7077d1cf1c773e3b298b2071ed449713f..26284d9f5c34d060acff1d9847c55a113a5367ed 100644 (file)
@@ -31,6 +31,8 @@ language_stats_sources = \
        src/language/stats/cochran.h \
        src/language/stats/correlations.c \
        src/language/stats/crosstabs.c \
        src/language/stats/cochran.h \
        src/language/stats/correlations.c \
        src/language/stats/crosstabs.c \
+       src/language/stats/ctables.c \
+       src/language/stats/ctables.inc \
        src/language/stats/descriptives.c \
        src/language/stats/examine.c \
        src/language/stats/factor.c \
        src/language/stats/descriptives.c \
        src/language/stats/examine.c \
        src/language/stats/factor.c \
diff --git a/src/language/stats/ctables.c b/src/language/stats/ctables.c
new file mode 100644 (file)
index 0000000..7d2f15d
--- /dev/null
@@ -0,0 +1,6704 @@
+/* PSPP - a program for statistical analysis.
+   Copyright (C) 2021 Free Software Foundation, Inc.
+
+   This program is free software: you can redistribute it and/or modify
+   it under the terms of the GNU General Public License as published by
+   the Free Software Foundation, either version 3 of the License, or
+   (at your option) any later version.
+
+   This program is distributed in the hope that it will be useful,
+   but WITHOUT ANY WARRANTY; without even the implied warranty of
+   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+   GNU General Public License for more details.
+
+   You should have received a copy of the GNU General Public License
+   along with this program.  If not, see <http://www.gnu.org/licenses/>. */
+
+#include <config.h>
+
+#include <math.h>
+#include <errno.h>
+
+#include "data/casegrouper.h"
+#include "data/casereader.h"
+#include "data/casewriter.h"
+#include "data/data-in.h"
+#include "data/data-out.h"
+#include "data/dataset.h"
+#include "data/dictionary.h"
+#include "data/mrset.h"
+#include "data/subcase.h"
+#include "data/value-labels.h"
+#include "language/command.h"
+#include "language/dictionary/split-file.h"
+#include "language/lexer/format-parser.h"
+#include "language/lexer/lexer.h"
+#include "language/lexer/token.h"
+#include "language/lexer/variable-parser.h"
+#include "libpspp/array.h"
+#include "libpspp/assertion.h"
+#include "libpspp/hash-functions.h"
+#include "libpspp/hmap.h"
+#include "libpspp/i18n.h"
+#include "libpspp/message.h"
+#include "libpspp/string-array.h"
+#include "math/mode.h"
+#include "math/moments.h"
+#include "math/percentiles.h"
+#include "math/sort.h"
+#include "output/pivot-table.h"
+
+#include "gl/minmax.h"
+#include "gl/xalloc.h"
+
+#include "gettext.h"
+#define _(msgid) gettext (msgid)
+#define N_(msgid) (msgid)
+
+struct ctables;
+
+/* The three forms of weighting supported by CTABLES. */
+enum ctables_weighting
+  {
+    CTW_EFFECTIVE,             /* Effective base weight (WEIGHT subcommand). */
+    CTW_DICTIONARY,            /* Dictionary weight. */
+    CTW_UNWEIGHTED             /* No weight. */
+#define N_CTWS 3
+  };
+\f
+/* CTABLES table areas. */
+
+enum ctables_area_type
+  {
+    /* Within a section, where stacked variables divide one section from
+       another.
+
+       Keep CTAT_LAYER after CTAT_LAYERROW and CTAT_LAYERCOL so that
+       parse_ctables_summary_function() parses correctly. */
+    CTAT_TABLE,                  /* All layers of a whole section. */
+    CTAT_LAYERROW,               /* Row in one layer within a section. */
+    CTAT_LAYERCOL,               /* Column in one layer within a section. */
+    CTAT_LAYER,                  /* One layer within a section. */
+
+    /* Within a subtable, where a subtable pairs an innermost row variable with
+       an innermost column variable within a single layer.  */
+    CTAT_SUBTABLE,               /* Whole subtable. */
+    CTAT_ROW,                    /* Row within a subtable. */
+    CTAT_COL,                    /* Column within a subtable. */
+#define N_CTATS 7
+  };
+
+static const char *ctables_area_type_name[N_CTATS] = {
+  [CTAT_TABLE] = "TABLE",
+  [CTAT_LAYER] = "LAYER",
+  [CTAT_LAYERROW] = "LAYERROW",
+  [CTAT_LAYERCOL] = "LAYERCOL",
+  [CTAT_SUBTABLE] = "SUBTABLE",
+  [CTAT_ROW] = "ROW",
+  [CTAT_COL] = "COL",
+};
+
+/* Summary statistics for an area. */
+struct ctables_area
+  {
+    struct hmap_node node;
+    const struct ctables_cell *example;
+
+    /* Sequence number used for CTSF_ID. */
+    size_t sequence;
+
+    /* Weights for CTSF_areaPCT_COUNT, CTSF_areaPCT_VALIDN, and
+       CTSF_areaPCT_TOTALN. */
+    double count[N_CTWS];
+    double valid[N_CTWS];
+    double total[N_CTWS];
+
+    /* Sums for CTSF_areaPCT_SUM. */
+    struct ctables_sum *sums;
+  };
+
+struct ctables_sum
+  {
+    double sum[N_CTWS];
+  };
+\f
+/* CTABLES summary functions. */
+
+enum ctables_function_type
+  {
+    /* A function that operates on data in a single cell.  It operates on
+       effective weights.  It does not have an unweighted version. */
+    CTFT_CELL,
+
+    /* A function that operates on data in a single cell.  The function
+       operates on effective weights and has a U-prefixed unweighted
+       version. */
+    CTFT_UCELL,
+
+    /* A function that operates on data in a single cell.  It operates on
+       dictionary weights, and has U-prefixed unweighted version and an
+       E-prefixed effective weight version. */
+    CTFT_UECELL,
+
+    /* A function that operates on an area of cells.  It operates on effective
+       weights and has a U-prefixed unweighted version. */
+    CTFT_AREA,
+  };
+
+enum ctables_format
+  {
+    CTF_COUNT,                  /* F40.0. */
+    CTF_PERCENT,                /* PCT40.1. */
+    CTF_GENERAL                 /* Variable's print format. */
+  };
+
+enum ctables_function_availability
+  {
+    CTFA_ALL,                /* Any variables. */
+    CTFA_SCALE,              /* Only scale variables, totals, and subtotals. */
+    //CTFA_MRSETS,             /* Only multiple-response sets */
+  };
+
+enum ctables_summary_function
+  {
+#define S(ENUM, NAME, TYPE, FORMAT, AVAILABILITY) ENUM,
+#include "ctables.inc"
+#undef S
+  };
+
+enum {
+#define S(ENUM, NAME, TYPE, FORMAT, AVAILABILITY) +1
+  N_CTSF_FUNCTIONS =
+#include "ctables.inc"
+#undef S
+};
+
+struct ctables_function_info
+  {
+    struct substring basename;
+    enum ctables_function_type type;
+    enum ctables_format format;
+    enum ctables_function_availability availability;
+
+    bool u_prefix;              /* Accepts a 'U' prefix (for unweighted)? */
+    bool e_prefix;              /* Accepts an 'E' prefix (for effective)? */
+    bool is_area;               /* Needs an area prefix. */
+  };
+static const struct ctables_function_info ctables_function_info[N_CTSF_FUNCTIONS] = {
+#define S(ENUM, NAME, TYPE, FORMAT, AVAILABILITY)                       \
+  [ENUM] = {                                                            \
+    .basename = SS_LITERAL_INITIALIZER (NAME),                          \
+    .type = TYPE,                                                       \
+    .format = FORMAT,                                                   \
+    .availability = AVAILABILITY,                                       \
+    .u_prefix = (TYPE) == CTFT_UCELL || (TYPE) == CTFT_UECELL || (TYPE) == CTFT_AREA, \
+    .e_prefix = (TYPE) == CTFT_UECELL,                                  \
+    .is_area = (TYPE) == CTFT_AREA                                      \
+  },
+#include "ctables.inc"
+#undef S
+};
+
+static struct fmt_spec
+ctables_summary_default_format (enum ctables_summary_function function,
+                                const struct variable *var)
+{
+  static const enum ctables_format default_formats[] = {
+#define S(ENUM, NAME, TYPE, FORMAT, AVAILABILITY) [ENUM] = FORMAT,
+#include "ctables.inc"
+#undef S
+  };
+  switch (default_formats[function])
+    {
+    case CTF_COUNT:
+      return (struct fmt_spec) { .type = FMT_F, .w = 40 };
+
+    case CTF_PERCENT:
+      return (struct fmt_spec) { .type = FMT_PCT, .w = 40, .d = 1 };
+
+    case CTF_GENERAL:
+      return *var_get_print_format (var);
+
+    default:
+      NOT_REACHED ();
+    }
+}
+
+static enum ctables_function_availability
+ctables_function_availability (enum ctables_summary_function f)
+{
+  static enum ctables_function_availability availability[] = {
+#define S(ENUM, NAME, TYPE, FORMAT, AVAILABILITY) [ENUM] = AVAILABILITY,
+#include "ctables.inc"
+#undef S
+  };
+
+  return availability[f];
+}
+
+static bool
+parse_ctables_summary_function (struct lexer *lexer,
+                                enum ctables_summary_function *function,
+                                enum ctables_weighting *weighting,
+                                enum ctables_area_type *area)
+{
+  if (!lex_force_id (lexer))
+    return false;
+
+  struct substring name = lex_tokss (lexer);
+  if (ss_ends_with_case (name, ss_cstr (".LCL"))
+      || ss_ends_with_case (name, ss_cstr (".UCL"))
+      || ss_ends_with_case (name, ss_cstr (".SE")))
+    {
+      lex_error (lexer, _("Support for LCL, UCL, and SE summary functions "
+                          "is not yet implemented."));
+      return false;
+    }
+
+  bool u = ss_match_byte (&name, 'U') || ss_match_byte (&name, 'u');
+  bool e = !u && (ss_match_byte (&name, 'E') || ss_match_byte (&name, 'e'));
+
+  bool has_area = false;
+  *area = 0;
+  for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+    if (ss_match_string_case (&name, ss_cstr (ctables_area_type_name[at])))
+      {
+        has_area = true;
+        *area = at;
+
+        if (ss_equals_case (name, ss_cstr ("PCT")))
+          {
+            /* Special case where .COUNT suffix is omitted. */
+            *function = CTSF_areaPCT_COUNT;
+            *weighting = CTW_EFFECTIVE;
+            lex_get (lexer);
+            return true;
+          }
+        break;
+      }
+
+  for (int f = 0; f < N_CTSF_FUNCTIONS; f++)
+    {
+      const struct ctables_function_info *cfi = &ctables_function_info[f];
+      if (ss_equals_case (cfi->basename, name))
+        {
+          *function = f;
+          if ((u && !cfi->u_prefix) || (e && !cfi->e_prefix) || (has_area != cfi->is_area))
+            break;
+
+          *weighting = (e ? CTW_EFFECTIVE
+                        : u ? CTW_UNWEIGHTED
+                        : cfi->e_prefix ? CTW_DICTIONARY
+                        : CTW_EFFECTIVE);
+          lex_get (lexer);
+          return true;
+        }
+    }
+
+  lex_error (lexer, _("Expecting summary function name."));
+  return false;
+}
+
+static const char *
+ctables_summary_function_name (enum ctables_summary_function function,
+                               enum ctables_weighting weighting,
+                               enum ctables_area_type area,
+                               char *buffer, size_t bufsize)
+{
+  const struct ctables_function_info *cfi = &ctables_function_info[function];
+  snprintf (buffer, bufsize, "%s%s%s",
+            (weighting == CTW_UNWEIGHTED ? "U"
+             : weighting == CTW_DICTIONARY ? ""
+             : cfi->e_prefix ? "E"
+             : ""),
+            cfi->is_area ? ctables_area_type_name[area] : "",
+            cfi->basename.string);
+  return buffer;
+}
+
+static const char *
+ctables_summary_function_label__ (enum ctables_summary_function function,
+                                  enum ctables_weighting weighting,
+                                  enum ctables_area_type area)
+{
+  bool w = weighting != CTW_UNWEIGHTED;
+  bool d = weighting == CTW_DICTIONARY;
+  enum ctables_area_type a = area;
+  switch (function)
+    {
+    case CTSF_COUNT:
+      return d ? N_("Count") : w ? N_("Adjusted Count") : N_("Unweighted Count");
+
+    case CTSF_areaPCT_COUNT:
+      switch (a)
+        {
+        case CTAT_TABLE: return w ? N_("Table %") : N_("Unweighted Table %");
+        case CTAT_LAYER: return w ? N_("Layer %") : N_("Unweighted Layer %");
+        case CTAT_LAYERROW: return w ? N_("Layer Row %") : N_("Unweighted Layer Row %");
+        case CTAT_LAYERCOL: return w ? N_("Layer Column %") : N_("Unweighted Layer Column %");
+        case CTAT_SUBTABLE: return w ? N_("Subtable %") : N_("Unweighted Subtable %");
+        case CTAT_ROW: return w ? N_("Row %") : N_("Unweighted Row %");
+        case CTAT_COL: return w ? N_("Column %") : N_("Unweighted Column %");
+        }
+      NOT_REACHED ();
+
+    case CTSF_areaPCT_VALIDN:
+      switch (a)
+        {
+        case CTAT_TABLE: return w ? N_("Table Valid N %") : N_("Unweighted Table Valid N %");
+        case CTAT_LAYER: return w ? N_("Layer Valid N %") : N_("Unweighted Layer Valid N %");
+        case CTAT_LAYERROW: return w ? N_("Layer Row Valid N %") : N_("Unweighted Layer Row Valid N %");
+        case CTAT_LAYERCOL: return w ? N_("Layer Column Valid N %") : N_("Unweighted Layer Column Valid N %");
+        case CTAT_SUBTABLE: return w ? N_("Subtable Valid N %") : N_("Unweighted Subtable Valid N %");
+        case CTAT_ROW: return w ? N_("Row Valid N %") : N_("Unweighted Row Valid N %");
+        case CTAT_COL: return w ? N_("Column Valid N %") : N_("Unweighted Column Valid N %");
+        }
+      NOT_REACHED ();
+
+    case CTSF_areaPCT_TOTALN:
+      switch (a)
+        {
+        case CTAT_TABLE: return w ? N_("Table Total N %") : N_("Unweighted Table Total N %");
+        case CTAT_LAYER: return w ? N_("Layer Total N %") : N_("Unweighted Layer Total N %");
+        case CTAT_LAYERROW: return w ? N_("Layer Row Total N %") : N_("Unweighted Layer Row Total N %");
+        case CTAT_LAYERCOL: return w ? N_("Layer Column Total N %") : N_("Unweighted Layer Column Total N %");
+        case CTAT_SUBTABLE: return w ? N_("Subtable Total N %") : N_("Unweighted Subtable Total N %");
+        case CTAT_ROW: return w ? N_("Row Total N %") : N_("Unweighted Row Total N %");
+        case CTAT_COL: return w ? N_("Column Total N %") : N_("Unweighted Column Total N %");
+        }
+      NOT_REACHED ();
+
+    case CTSF_MAXIMUM: return N_("Maximum");
+    case CTSF_MEAN: return w ? N_("Mean") : N_("Unweighted Mean");
+    case CTSF_MEDIAN: return w ? N_("Median") : N_("Unweighted Median");
+    case CTSF_MINIMUM: return N_("Minimum");
+    case CTSF_MISSING: return w ? N_("Missing") : N_("Unweighted Missing");
+    case CTSF_MODE: return w ? N_("Mode") : N_("Unweighted Mode");
+    case CTSF_PTILE: NOT_REACHED ();
+    case CTSF_RANGE: return N_("Range");
+    case CTSF_SEMEAN: return w ? N_("Std Error of Mean") : N_("Unweighted Std Error of Mean");
+    case CTSF_STDDEV: return w ? N_("Std Deviation") : N_("Unweighted Std Deviation");
+    case CTSF_SUM: return w ? N_("Sum") : N_("Unweighted Sum");
+    case CTSF_TOTALN: return (d ? N_("Total N")
+                              : w ? N_("Adjusted Total N")
+                              : N_("Unweighted Total N"));
+    case CTSF_VALIDN: return (d ? N_("Valid N")
+                              : w ? N_("Adjusted Valid N")
+                              : N_("Unweighted Valid N"));
+    case CTSF_VARIANCE: return w ? N_("Variance") : N_("Unweighted Variance");
+    case CTSF_areaPCT_SUM:
+      switch (a)
+        {
+        case CTAT_TABLE: return w ? N_("Table Sum %") : N_("Unweighted Table Sum %");
+        case CTAT_LAYER: return w ? N_("Layer Sum %") : N_("Unweighted Layer Sum %");
+        case CTAT_LAYERROW: return w ? N_("Layer Row Sum %") : N_("Unweighted Layer Row Sum %");
+        case CTAT_LAYERCOL: return w ? N_("Layer Column Sum %") : N_("Unweighted Layer Column Sum %");
+        case CTAT_SUBTABLE: return w ? N_("Subtable Sum %") : N_("Unweighted Subtable Sum %");
+        case CTAT_ROW: return w ? N_("Row Sum %") : N_("Unweighted Row Sum %");
+        case CTAT_COL: return w ? N_("Column Sum %") : N_("Unweighted Column Sum %");
+        }
+      NOT_REACHED ();
+
+    case CTSF_areaID:
+      switch (a)
+        {
+        /* Don't bother translating these: they are for developers only. */
+        case CTAT_TABLE: return "Table ID";
+        case CTAT_LAYER: return "Layer ID";
+        case CTAT_LAYERROW: return "Layer Row ID";
+        case CTAT_LAYERCOL: return "Layer Column ID";
+        case CTAT_SUBTABLE: return "Subtable ID";
+        case CTAT_ROW: return "Row ID";
+        case CTAT_COL: return "Column ID";
+        }
+      NOT_REACHED ();
+    }
+
+  NOT_REACHED ();
+}
+
+static struct pivot_value *
+ctables_summary_function_label (enum ctables_summary_function function,
+                                enum ctables_weighting weighting,
+                                enum ctables_area_type area,
+                                double percentile)
+{
+  if (function == CTSF_PTILE)
+    {
+      char *s = (weighting != CTW_UNWEIGHTED
+                 ? xasprintf (_("Percentile %.2f"), percentile)
+                 : xasprintf (_("Unweighted Percentile %.2f"), percentile));
+      return pivot_value_new_user_text_nocopy (s);
+    }
+  else
+    return pivot_value_new_text (ctables_summary_function_label__ (
+                                   function, weighting, area));
+}
+\f
+/* CTABLES summaries. */
+
+struct ctables_summary_spec
+  {
+    /* The calculation to be performed.
+
+       'function' is the function to calculate.  'weighted' specifies whether
+       to use weighted or unweighted data (for functions that do not support a
+       choice, it must be true).  'calc_area' is the area over which the
+       calculation takes place (for functions that target only an individual
+       cell, it must be 0).  For CTSF_PTILE only, 'percentile' is the
+       percentile between 0 and 100 (for other functions it must be 0). */
+    enum ctables_summary_function function;
+    enum ctables_weighting weighting;
+    enum ctables_area_type calc_area;
+    double percentile;          /* CTSF_PTILE only. */
+
+    /* How to display the result of the calculation.
+
+       'label' is a user-specified label, NULL if the user didn't specify
+       one.
+
+       'user_area' is usually the same as 'calc_area', but when category labels
+       are rotated from one axis to another it swaps rows and columns.
+
+       'format' is the format for displaying the output.  If
+       'is_ctables_format' is true, then 'format.type' is one of the special
+       CTEF_* formats instead of the standard ones. */
+    char *label;
+    enum ctables_area_type user_area;
+    struct fmt_spec format;
+    bool is_ctables_format;       /* Is 'format' one of CTEF_*? */
+
+    size_t axis_idx;            /* Leaf index if summary dimension in use. */
+    size_t sum_var_idx;         /* Offset into 'sums' in ctables_area. */
+  };
+
+static void
+ctables_summary_spec_clone (struct ctables_summary_spec *dst,
+                            const struct ctables_summary_spec *src)
+{
+  *dst = *src;
+  dst->label = xstrdup_if_nonnull (src->label);
+}
+
+static void
+ctables_summary_spec_uninit (struct ctables_summary_spec *s)
+{
+  if (s)
+    free (s->label);
+}
+\f
+/* Collections of summary functions. */
+
+struct ctables_summary_spec_set
+  {
+    struct ctables_summary_spec *specs;
+    size_t n;
+    size_t allocated;
+
+    /* The variable to which the summary specs are applied. */
+    struct variable *var;
+
+    /* Whether the variable to which the summary specs are applied is a scale
+       variable for the purpose of summarization.
+
+       (VALIDN and TOTALN act differently for summarizing scale and categorical
+       variables.) */
+    bool is_scale;
+
+    /* If any of these optional additional scale variables are missing, then
+       treat 'var' as if it's missing too.  This is for implementing
+       SMISSING=LISTWISE. */
+    struct variable **listwise_vars;
+    size_t n_listwise_vars;
+  };
+
+static void
+ctables_summary_spec_set_clone (struct ctables_summary_spec_set *dst,
+                                const struct ctables_summary_spec_set *src)
+{
+  struct ctables_summary_spec *specs
+    = (src->n ? xnmalloc (src->n, sizeof *specs) : NULL);
+  for (size_t i = 0; i < src->n; i++)
+    ctables_summary_spec_clone (&specs[i], &src->specs[i]);
+
+  *dst = (struct ctables_summary_spec_set) {
+    .specs = specs,
+    .n = src->n,
+    .allocated = src->n,
+    .var = src->var,
+    .is_scale = src->is_scale,
+  };
+}
+
+static void
+ctables_summary_spec_set_uninit (struct ctables_summary_spec_set *set)
+{
+  for (size_t i = 0; i < set->n; i++)
+    ctables_summary_spec_uninit (&set->specs[i]);
+  free (set->listwise_vars);
+  free (set->specs);
+}
+
+static bool
+is_listwise_missing (const struct ctables_summary_spec_set *specs,
+                     const struct ccase *c)
+{
+  for (size_t i = 0; i < specs->n_listwise_vars; i++)
+    {
+      const struct variable *var = specs->listwise_vars[i];
+      if (var_is_num_missing (var, case_num (c, var)))
+        return true;
+    }
+
+  return false;
+}
+\f
+/* CTABLES postcompute expressions. */
+
+struct ctables_postcompute
+  {
+    struct hmap_node hmap_node; /* In struct ctables's 'pcompute' hmap. */
+    char *name;                 /* Name, without leading &. */
+
+    struct msg_location *location; /* Location of definition. */
+    struct ctables_pcexpr *expr;
+    char *label;
+    struct ctables_summary_spec_set *specs;
+    bool hide_source_cats;
+  };
+
+struct ctables_pcexpr
+  {
+    /* Precedence table:
+
+       ()
+       **
+       -
+       * /
+       - +
+    */
+    enum ctables_pcexpr_op
+      {
+        /* Terminals. */
+        CTPO_CONSTANT,          /* 5 */
+        CTPO_CAT_NUMBER,        /* [5] */
+        CTPO_CAT_STRING,        /* ["STRING"] */
+        CTPO_CAT_NRANGE,        /* [LO THRU 5] */
+        CTPO_CAT_SRANGE,        /* ["A" THRU "B"] */
+        CTPO_CAT_MISSING,       /* MISSING */
+        CTPO_CAT_OTHERNM,       /* OTHERNM */
+        CTPO_CAT_SUBTOTAL,      /* SUBTOTAL */
+        CTPO_CAT_TOTAL,         /* TOTAL */
+
+        /* Nonterminals. */
+        CTPO_ADD,
+        CTPO_SUB,
+        CTPO_MUL,
+        CTPO_DIV,
+        CTPO_POW,
+        CTPO_NEG,
+      }
+    op;
+
+    union
+      {
+        /* CTPO_CAT_NUMBER. */
+        double number;
+
+        /* CTPO_CAT_STRING, in dictionary encoding. */
+        struct substring string;
+
+        /* CTPO_CAT_NRANGE. */
+        double nrange[2];
+
+        /* CTPO_CAT_SRANGE. */
+        struct substring srange[2];
+
+        /* CTPO_CAT_SUBTOTAL. */
+        size_t subtotal_index;
+
+        /* Two elements: CTPO_ADD, CTPO_SUB, CTPO_MUL, CTPO_DIV, CTPO_POW.
+           One element: CTPO_NEG. */
+        struct ctables_pcexpr *subs[2];
+      };
+
+    /* Source location. */
+    struct msg_location *location;
+  };
+
+static struct ctables_postcompute *ctables_find_postcompute (struct ctables *,
+                                                             const char *name);
+
+static struct ctables_pcexpr *ctables_pcexpr_allocate_binary (
+  enum ctables_pcexpr_op, struct ctables_pcexpr *sub0,
+  struct ctables_pcexpr *sub1);
+
+typedef struct ctables_pcexpr *parse_recursively_func (struct lexer *,
+                                                       struct dictionary *);
+
+static void
+ctables_pcexpr_destroy (struct ctables_pcexpr *e)
+{
+  if (e)
+    {
+      switch (e->op)
+        {
+        case CTPO_CAT_STRING:
+          ss_dealloc (&e->string);
+          break;
+
+        case CTPO_CAT_SRANGE:
+          for (size_t i = 0; i < 2; i++)
+            ss_dealloc (&e->srange[i]);
+          break;
+
+        case CTPO_ADD:
+        case CTPO_SUB:
+        case CTPO_MUL:
+        case CTPO_DIV:
+        case CTPO_POW:
+        case CTPO_NEG:
+          for (size_t i = 0; i < 2; i++)
+            ctables_pcexpr_destroy (e->subs[i]);
+          break;
+
+        case CTPO_CONSTANT:
+        case CTPO_CAT_NUMBER:
+        case CTPO_CAT_NRANGE:
+        case CTPO_CAT_MISSING:
+        case CTPO_CAT_OTHERNM:
+        case CTPO_CAT_SUBTOTAL:
+        case CTPO_CAT_TOTAL:
+          break;
+        }
+
+      msg_location_destroy (e->location);
+      free (e);
+    }
+}
+
+static struct ctables_pcexpr *
+ctables_pcexpr_allocate_binary (enum ctables_pcexpr_op op,
+                                struct ctables_pcexpr *sub0,
+                                struct ctables_pcexpr *sub1)
+{
+  struct ctables_pcexpr *e = xmalloc (sizeof *e);
+  *e = (struct ctables_pcexpr) {
+    .op = op,
+    .subs = { sub0, sub1 },
+    .location = msg_location_merged (sub0->location, sub1->location),
+  };
+  return e;
+}
+
+/* How to parse an operator. */
+struct operator
+  {
+    enum token_type token;
+    enum ctables_pcexpr_op op;
+  };
+
+static const struct operator *
+ctables_pcexpr_match_operator (struct lexer *lexer,
+                              const struct operator ops[], size_t n_ops)
+{
+  for (const struct operator *op = ops; op < ops + n_ops; op++)
+    if (lex_token (lexer) == op->token)
+      {
+        if (op->token != T_NEG_NUM)
+          lex_get (lexer);
+
+        return op;
+      }
+
+  return NULL;
+}
+
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_binary_operators__ (
+  struct lexer *lexer, struct dictionary *dict,
+  const struct operator ops[], size_t n_ops,
+  parse_recursively_func *parse_next_level,
+  const char *chain_warning, struct ctables_pcexpr *lhs)
+{
+  for (int op_count = 0; ; op_count++)
+    {
+      const struct operator *op
+        = ctables_pcexpr_match_operator (lexer, ops, n_ops);
+      if (!op)
+        {
+          if (op_count > 1 && chain_warning)
+            msg_at (SW, lhs->location, "%s", chain_warning);
+
+          return lhs;
+        }
+
+      struct ctables_pcexpr *rhs = parse_next_level (lexer, dict);
+      if (!rhs)
+        {
+          ctables_pcexpr_destroy (lhs);
+          return NULL;
+        }
+
+      lhs = ctables_pcexpr_allocate_binary (op->op, lhs, rhs);
+    }
+}
+
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_binary_operators (
+  struct lexer *lexer, struct dictionary *dict,
+  const struct operator ops[], size_t n_ops,
+  parse_recursively_func *parse_next_level, const char *chain_warning)
+{
+  struct ctables_pcexpr *lhs = parse_next_level (lexer, dict);
+  if (!lhs)
+    return NULL;
+
+  return ctables_pcexpr_parse_binary_operators__ (lexer, dict, ops, n_ops,
+                                                 parse_next_level,
+                                                 chain_warning, lhs);
+}
+
+static struct ctables_pcexpr *ctables_pcexpr_parse_add (struct lexer *,
+                                                        struct dictionary *);
+
+static struct ctables_pcexpr
+ctpo_cat_nrange (double low, double high)
+{
+  return (struct ctables_pcexpr) {
+    .op = CTPO_CAT_NRANGE,
+    .nrange = { low, high },
+  };
+}
+
+static struct ctables_pcexpr
+ctpo_cat_srange (struct substring low, struct substring high)
+{
+  return (struct ctables_pcexpr) {
+    .op = CTPO_CAT_SRANGE,
+    .srange = { low, high },
+  };
+}
+
+static struct substring
+parse_substring (struct lexer *lexer, struct dictionary *dict)
+{
+  struct substring s = recode_substring_pool (
+    dict_get_encoding (dict), "UTF-8", lex_tokss (lexer), NULL);
+  ss_rtrim (&s, ss_cstr (" "));
+  lex_get (lexer);
+  return s;
+}
+
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_primary (struct lexer *lexer, struct dictionary *dict)
+{
+  int start_ofs = lex_ofs (lexer);
+  struct ctables_pcexpr e;
+  if (lex_is_number (lexer))
+    {
+      e = (struct ctables_pcexpr) { .op = CTPO_CONSTANT,
+                                    .number = lex_number (lexer) };
+      lex_get (lexer);
+    }
+  else if (lex_match_id (lexer, "MISSING"))
+    e = (struct ctables_pcexpr) { .op = CTPO_CAT_MISSING };
+  else if (lex_match_id (lexer, "OTHERNM"))
+    e = (struct ctables_pcexpr) { .op = CTPO_CAT_OTHERNM };
+  else if (lex_match_id (lexer, "TOTAL"))
+    e = (struct ctables_pcexpr) { .op = CTPO_CAT_TOTAL };
+  else if (lex_match_id (lexer, "SUBTOTAL"))
+    {
+      size_t subtotal_index = 0;
+      if (lex_match (lexer, T_LBRACK))
+        {
+          if (!lex_force_int_range (lexer, "SUBTOTAL", 1, LONG_MAX))
+            return NULL;
+          subtotal_index = lex_integer (lexer);
+          lex_get (lexer);
+          if (!lex_force_match (lexer, T_RBRACK))
+            return NULL;
+        }
+      e = (struct ctables_pcexpr) { .op = CTPO_CAT_SUBTOTAL,
+                                    .subtotal_index = subtotal_index };
+    }
+  else if (lex_match (lexer, T_LBRACK))
+    {
+      if (lex_match_id (lexer, "LO"))
+        {
+          if (!lex_force_match_id (lexer, "THRU"))
+            return false;
+
+          if (lex_is_string (lexer))
+            {
+              struct substring low = { .string = NULL };
+              struct substring high = parse_substring (lexer, dict);
+              e = ctpo_cat_srange (low, high);
+            }
+          else
+            {
+              if (!lex_force_num (lexer))
+                return false;
+              e = ctpo_cat_nrange (-DBL_MAX, lex_number (lexer));
+              lex_get (lexer);
+            }
+        }
+      else if (lex_is_number (lexer))
+        {
+          double number = lex_number (lexer);
+          lex_get (lexer);
+          if (lex_match_id (lexer, "THRU"))
+            {
+              if (lex_match_id (lexer, "HI"))
+                e = ctpo_cat_nrange (number, DBL_MAX);
+              else
+                {
+                  if (!lex_force_num (lexer))
+                    return false;
+                  e = ctpo_cat_nrange (number, lex_number (lexer));
+                  lex_get (lexer);
+                }
+            }
+          else
+            e = (struct ctables_pcexpr) { .op = CTPO_CAT_NUMBER,
+                                          .number = number };
+        }
+      else if (lex_is_string (lexer))
+        {
+          struct substring s = parse_substring (lexer, dict);
+
+          if (lex_match_id (lexer, "THRU"))
+            {
+              struct substring high;
+
+              if (lex_match_id (lexer, "HI"))
+                high = (struct substring) { .string = NULL };
+              else
+                {
+                  if (!lex_force_string (lexer))
+                    {
+                      ss_dealloc (&s);
+                      return false;
+                    }
+                  high = parse_substring (lexer, dict);
+                }
+
+              e = ctpo_cat_srange (s, high);
+            }
+          else
+            e = (struct ctables_pcexpr) { .op = CTPO_CAT_STRING, .string = s };
+        }
+      else
+        {
+          lex_error (lexer, NULL);
+          return NULL;
+        }
+
+      if (!lex_force_match (lexer, T_RBRACK))
+        {
+          if (e.op == CTPO_CAT_STRING)
+            ss_dealloc (&e.string);
+          else if (e.op == CTPO_CAT_SRANGE)
+            {
+              ss_dealloc (&e.srange[0]);
+              ss_dealloc (&e.srange[1]);
+            }
+          return NULL;
+        }
+    }
+  else if (lex_match (lexer, T_LPAREN))
+    {
+      struct ctables_pcexpr *ep = ctables_pcexpr_parse_add (lexer, dict);
+      if (!ep)
+        return NULL;
+      if (!lex_force_match (lexer, T_RPAREN))
+        {
+          ctables_pcexpr_destroy (ep);
+          return NULL;
+        }
+      return ep;
+    }
+  else
+    {
+      lex_error (lexer, NULL);
+      return NULL;
+    }
+
+  e.location = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer) - 1);
+  return xmemdup (&e, sizeof e);
+}
+
+static struct ctables_pcexpr *
+ctables_pcexpr_allocate_neg (struct ctables_pcexpr *sub,
+                             struct lexer *lexer, int start_ofs)
+{
+  struct ctables_pcexpr *e = xmalloc (sizeof *e);
+  *e = (struct ctables_pcexpr) {
+    .op = CTPO_NEG,
+    .subs = { sub },
+    .location = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer) - 1),
+  };
+  return e;
+}
+
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_exp (struct lexer *lexer, struct dictionary *dict)
+{
+  static const struct operator op = { T_EXP, CTPO_POW };
+
+  const char *chain_warning =
+    _("The exponentiation operator (`**') is left-associative: "
+      "`a**b**c' equals `(a**b)**c', not `a**(b**c)'.  "
+      "To disable this warning, insert parentheses.");
+
+  if (lex_token (lexer) != T_NEG_NUM || lex_next_token (lexer, 1) != T_EXP)
+    return ctables_pcexpr_parse_binary_operators (lexer, dict, &op, 1,
+                                                  ctables_pcexpr_parse_primary,
+                                                  chain_warning);
+
+  /* Special case for situations like "-5**6", which must be parsed as
+     -(5**6). */
+
+  int start_ofs = lex_ofs (lexer);
+  struct ctables_pcexpr *lhs = xmalloc (sizeof *lhs);
+  *lhs = (struct ctables_pcexpr) {
+    .op = CTPO_CONSTANT,
+    .number = -lex_tokval (lexer),
+    .location = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer)),
+  };
+  lex_get (lexer);
+
+  struct ctables_pcexpr *node = ctables_pcexpr_parse_binary_operators__ (
+    lexer, dict, &op, 1,
+    ctables_pcexpr_parse_primary, chain_warning, lhs);
+  if (!node)
+    return NULL;
+
+  return ctables_pcexpr_allocate_neg (node, lexer, start_ofs);
+}
+
+/* Parses the unary minus level. */
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_neg (struct lexer *lexer, struct dictionary *dict)
+{
+  int start_ofs = lex_ofs (lexer);
+  if (!lex_match (lexer, T_DASH))
+    return ctables_pcexpr_parse_exp (lexer, dict);
+
+  struct ctables_pcexpr *inner = ctables_pcexpr_parse_neg (lexer, dict);
+  if (!inner)
+    return NULL;
+
+  return ctables_pcexpr_allocate_neg (inner, lexer, start_ofs);
+}
+
+/* Parses the multiplication and division level. */
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_mul (struct lexer *lexer, struct dictionary *dict)
+{
+  static const struct operator ops[] =
+    {
+      { T_ASTERISK, CTPO_MUL },
+      { T_SLASH, CTPO_DIV },
+    };
+
+  return ctables_pcexpr_parse_binary_operators (lexer, dict, ops,
+                                               sizeof ops / sizeof *ops,
+                                               ctables_pcexpr_parse_neg, NULL);
+}
+
+/* Parses the addition and subtraction level. */
+static struct ctables_pcexpr *
+ctables_pcexpr_parse_add (struct lexer *lexer, struct dictionary *dict)
+{
+  static const struct operator ops[] =
+    {
+      { T_PLUS, CTPO_ADD },
+      { T_DASH, CTPO_SUB },
+      { T_NEG_NUM, CTPO_ADD },
+    };
+
+  return ctables_pcexpr_parse_binary_operators (lexer, dict,
+                                               ops, sizeof ops / sizeof *ops,
+                                               ctables_pcexpr_parse_mul, NULL);
+}
+\f
+/* CTABLES axis expressions. */
+
+/* CTABLES has a number of extra formats that we implement via custom
+   currency specifications on an alternate fmt_settings. */
+#define CTEF_NEGPAREN FMT_CCA
+#define CTEF_NEQUAL   FMT_CCB
+#define CTEF_PAREN    FMT_CCC
+#define CTEF_PCTPAREN FMT_CCD
+
+enum ctables_summary_variant
+  {
+    CSV_CELL,
+    CSV_TOTAL
+#define N_CSVS 2
+  };
+
+struct ctables_axis
+  {
+    enum ctables_axis_op
+      {
+        /* Terminals. */
+        CTAO_VAR,
+
+        /* Nonterminals. */
+        CTAO_STACK,             /* + */
+        CTAO_NEST,              /* > */
+      }
+    op;
+
+    union
+      {
+        /* Terminals. */
+        struct
+          {
+            struct variable *var;
+            bool scale;
+            struct ctables_summary_spec_set specs[N_CSVS];
+          };
+
+        /* Nonterminals. */
+        struct ctables_axis *subs[2];
+      };
+
+    struct msg_location *loc;
+  };
+
+static void
+ctables_axis_destroy (struct ctables_axis *axis)
+{
+  if (!axis)
+    return;
+
+  switch (axis->op)
+    {
+    case CTAO_VAR:
+      for (size_t i = 0; i < N_CSVS; i++)
+        ctables_summary_spec_set_uninit (&axis->specs[i]);
+      break;
+
+    case CTAO_STACK:
+    case CTAO_NEST:
+      ctables_axis_destroy (axis->subs[0]);
+      ctables_axis_destroy (axis->subs[1]);
+      break;
+    }
+  msg_location_destroy (axis->loc);
+  free (axis);
+}
+
+static struct ctables_axis *
+ctables_axis_new_nonterminal (enum ctables_axis_op op,
+                              struct ctables_axis *sub0,
+                              struct ctables_axis *sub1,
+                              struct lexer *lexer, int start_ofs)
+{
+  struct ctables_axis *axis = xmalloc (sizeof *axis);
+  *axis = (struct ctables_axis) {
+    .op = op,
+    .subs = { sub0, sub1 },
+    .loc = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer) - 1),
+  };
+  return axis;
+}
+
+struct ctables_axis_parse_ctx
+  {
+    struct lexer *lexer;
+    struct dictionary *dict;
+  };
+
+static struct pivot_value *
+ctables_summary_label (const struct ctables_summary_spec *spec, double cilevel)
+{
+  if (!spec->label)
+    return ctables_summary_function_label (spec->function, spec->weighting,
+                                           spec->user_area, spec->percentile);
+  else
+    {
+      struct substring in = ss_cstr (spec->label);
+      struct substring target = ss_cstr (")CILEVEL");
+
+      struct string out = DS_EMPTY_INITIALIZER;
+      for (;;)
+        {
+          size_t chunk = ss_find_substring (in, target);
+          ds_put_substring (&out, ss_head (in, chunk));
+          ss_advance (&in, chunk);
+          if (!in.length)
+            return pivot_value_new_user_text_nocopy (ds_steal_cstr (&out));
+
+          ss_advance (&in, target.length);
+          ds_put_format (&out, "%g", cilevel);
+        }
+    }
+}
+
+static bool
+add_summary_spec (struct ctables_axis *axis,
+                  enum ctables_summary_function function,
+                  enum ctables_weighting weighting,
+                  enum ctables_area_type area, double percentile,
+                  const char *label, const struct fmt_spec *format,
+                  bool is_ctables_format, const struct msg_location *loc,
+                  enum ctables_summary_variant sv)
+{
+  if (axis->op == CTAO_VAR)
+    {
+      char function_name[128];
+      ctables_summary_function_name (function, weighting, area,
+                                     function_name, sizeof function_name);
+      const char *var_name = var_get_name (axis->var);
+      switch (ctables_function_availability (function))
+        {
+#if 0
+        case CTFA_MRSETS:
+          msg_at (SE, loc, _("Summary function %s applies only to multiple "
+                             "response sets."), function_name);
+          msg_at (SN, axis->loc, _("'%s' is not a multiple response set."),
+                  var_name);
+          return false;
+#endif
+
+        case CTFA_SCALE:
+          if (!axis->scale && sv != CSV_TOTAL)
+            {
+              msg_at (SE, loc,
+                      _("Summary function %s applies only to scale variables."),
+                      function_name);
+              msg_at (SN, axis->loc, _("'%s' is not a scale variable."),
+                      var_name);
+              return false;
+            }
+          break;
+
+        case CTFA_ALL:
+          break;
+        }
+
+      struct ctables_summary_spec_set *set = &axis->specs[sv];
+      if (set->n >= set->allocated)
+        set->specs = x2nrealloc (set->specs, &set->allocated,
+                                 sizeof *set->specs);
+
+      struct ctables_summary_spec *dst = &set->specs[set->n++];
+      *dst = (struct ctables_summary_spec) {
+        .function = function,
+        .weighting = weighting,
+        .calc_area = area,
+        .user_area = area,
+        .percentile = percentile,
+        .label = xstrdup_if_nonnull (label),
+        .format = (format ? *format
+                   : ctables_summary_default_format (function, axis->var)),
+        .is_ctables_format = is_ctables_format,
+      };
+      return true;
+    }
+  else
+    {
+      for (size_t i = 0; i < 2; i++)
+        if (!add_summary_spec (axis->subs[i], function, weighting, area,
+                               percentile, label, format, is_ctables_format,
+                               loc, sv))
+          return false;
+      return true;
+    }
+}
+
+static struct ctables_axis *ctables_axis_parse_stack (
+  struct ctables_axis_parse_ctx *);
+
+static struct ctables_axis *
+ctables_axis_parse_primary (struct ctables_axis_parse_ctx *ctx)
+{
+  if (lex_match (ctx->lexer, T_LPAREN))
+    {
+      struct ctables_axis *sub = ctables_axis_parse_stack (ctx);
+      if (!sub || !lex_force_match (ctx->lexer, T_RPAREN))
+        {
+          ctables_axis_destroy (sub);
+          return NULL;
+        }
+      return sub;
+    }
+
+  if (!lex_force_id (ctx->lexer))
+    return NULL;
+
+  if (lex_tokcstr (ctx->lexer)[0] == '$')
+    {
+      lex_error (ctx->lexer,
+                 _("Multiple response set support not implemented."));
+      return NULL;
+    }
+
+  int start_ofs = lex_ofs (ctx->lexer);
+  struct variable *var = parse_variable (ctx->lexer, ctx->dict);
+  if (!var)
+    return NULL;
+
+  struct ctables_axis *axis = xmalloc (sizeof *axis);
+  *axis = (struct ctables_axis) { .op = CTAO_VAR, .var = var };
+
+  axis->scale = (lex_match_phrase (ctx->lexer, "[S]") ? true
+                 : lex_match_phrase (ctx->lexer, "[C]") ? false
+                 : var_get_measure (var) == MEASURE_SCALE);
+  axis->loc = lex_ofs_location (ctx->lexer, start_ofs,
+                                lex_ofs (ctx->lexer) - 1);
+  if (axis->scale && var_is_alpha (var))
+    {
+      msg_at (SE, axis->loc, _("Cannot use string variable %s as a scale "
+                               "variable."),
+              var_get_name (var));
+      ctables_axis_destroy (axis);
+      return NULL;
+    }
+
+  return axis;
+}
+
+static bool
+has_digit (const char *s)
+{
+  return s[strcspn (s, "0123456789")] != '\0';
+}
+
+static bool
+parse_ctables_format_specifier (struct lexer *lexer, struct fmt_spec *format,
+                                bool *is_ctables_format)
+{
+  char type[FMT_TYPE_LEN_MAX + 1];
+  if (!parse_abstract_format_specifier__ (lexer, type, &format->w, &format->d))
+    return false;
+
+  if (!strcasecmp (type, "NEGPAREN"))
+    format->type = CTEF_NEGPAREN;
+  else if (!strcasecmp (type, "NEQUAL"))
+    format->type = CTEF_NEQUAL;
+  else if (!strcasecmp (type, "PAREN"))
+    format->type = CTEF_PAREN;
+  else if (!strcasecmp (type, "PCTPAREN"))
+    format->type = CTEF_PCTPAREN;
+  else
+    {
+      *is_ctables_format = false;
+      return (parse_format_specifier (lexer, format)
+              && fmt_check_output (format)
+              && fmt_check_type_compat (format, VAL_NUMERIC));
+    }
+
+  lex_get (lexer);
+  if (format->w < 2)
+    {
+      lex_next_error (lexer, -1, -1,
+                      _("Output format %s requires width 2 or greater."), type);
+      return false;
+    }
+  else if (format->d > format->w - 1)
+    {
+      lex_next_error (lexer, -1, -1, _("Output format %s requires width "
+                                       "greater than decimals."), type);
+      return false;
+    }
+  else
+    {
+      *is_ctables_format = true;
+      return true;
+    }
+}
+
+static struct ctables_axis *
+ctables_axis_parse_postfix (struct ctables_axis_parse_ctx *ctx)
+{
+  struct ctables_axis *sub = ctables_axis_parse_primary (ctx);
+  if (!sub || !lex_match (ctx->lexer, T_LBRACK))
+    return sub;
+
+  enum ctables_summary_variant sv = CSV_CELL;
+  for (;;)
+    {
+      int start_ofs = lex_ofs (ctx->lexer);
+
+      /* Parse function. */
+      enum ctables_summary_function function;
+      enum ctables_weighting weighting;
+      enum ctables_area_type area;
+      if (!parse_ctables_summary_function (ctx->lexer, &function, &weighting,
+                                           &area))
+        goto error;
+
+      /* Parse percentile. */
+      double percentile = 0;
+      if (function == CTSF_PTILE)
+        {
+          if (!lex_force_num_range_closed (ctx->lexer, "PTILE", 0, 100))
+            goto error;
+          percentile = lex_number (ctx->lexer);
+          lex_get (ctx->lexer);
+        }
+
+      /* Parse label. */
+      char *label = NULL;
+      if (lex_is_string (ctx->lexer))
+        {
+          label = ss_xstrdup (lex_tokss (ctx->lexer));
+          lex_get (ctx->lexer);
+        }
+
+      /* Parse format. */
+      struct fmt_spec format;
+      const struct fmt_spec *formatp;
+      bool is_ctables_format = false;
+      if (lex_token (ctx->lexer) == T_ID
+          && has_digit (lex_tokcstr (ctx->lexer)))
+        {
+          if (!parse_ctables_format_specifier (ctx->lexer, &format,
+                                               &is_ctables_format))
+            {
+              free (label);
+              goto error;
+            }
+          formatp = &format;
+        }
+      else
+        formatp = NULL;
+
+      struct msg_location *loc = lex_ofs_location (ctx->lexer, start_ofs,
+                                                   lex_ofs (ctx->lexer) - 1);
+      add_summary_spec (sub, function, weighting, area, percentile, label,
+                        formatp, is_ctables_format, loc, sv);
+      free (label);
+      msg_location_destroy (loc);
+
+      lex_match (ctx->lexer, T_COMMA);
+      if (sv == CSV_CELL && lex_match_id (ctx->lexer, "TOTALS"))
+        {
+          if (!lex_force_match (ctx->lexer, T_LBRACK))
+            goto error;
+          sv = CSV_TOTAL;
+        }
+      else if (lex_match (ctx->lexer, T_RBRACK))
+        {
+          if (sv == CSV_TOTAL && !lex_force_match (ctx->lexer, T_RBRACK))
+            goto error;
+          return sub;
+        }
+    }
+
+error:
+  ctables_axis_destroy (sub);
+  return NULL;
+}
+
+static const struct ctables_axis *
+find_scale (const struct ctables_axis *axis)
+{
+  if (!axis)
+    return NULL;
+  else if (axis->op == CTAO_VAR)
+    return axis->scale ? axis : NULL;
+  else
+    {
+      for (size_t i = 0; i < 2; i++)
+        {
+          const struct ctables_axis *scale = find_scale (axis->subs[i]);
+          if (scale)
+            return scale;
+        }
+      return NULL;
+    }
+}
+
+static const struct ctables_axis *
+find_categorical_summary_spec (const struct ctables_axis *axis)
+{
+  if (!axis)
+    return NULL;
+  else if (axis->op == CTAO_VAR)
+    return !axis->scale && axis->specs[CSV_CELL].n ? axis : NULL;
+  else
+    {
+      for (size_t i = 0; i < 2; i++)
+        {
+          const struct ctables_axis *sum
+            = find_categorical_summary_spec (axis->subs[i]);
+          if (sum)
+            return sum;
+        }
+      return NULL;
+    }
+}
+
+static struct ctables_axis *
+ctables_axis_parse_nest (struct ctables_axis_parse_ctx *ctx)
+{
+  int start_ofs = lex_ofs (ctx->lexer);
+  struct ctables_axis *lhs = ctables_axis_parse_postfix (ctx);
+  if (!lhs)
+    return NULL;
+
+  while (lex_match (ctx->lexer, T_GT))
+    {
+      struct ctables_axis *rhs = ctables_axis_parse_postfix (ctx);
+      if (!rhs)
+        {
+          ctables_axis_destroy (lhs);
+          return NULL;
+        }
+
+      struct ctables_axis *nest = ctables_axis_new_nonterminal (
+        CTAO_NEST, lhs, rhs, ctx->lexer, start_ofs);
+
+      const struct ctables_axis *outer_scale = find_scale (lhs);
+      const struct ctables_axis *inner_scale = find_scale (rhs);
+      if (outer_scale && inner_scale)
+        {
+          msg_at (SE, nest->loc, _("Cannot nest scale variables."));
+          msg_at (SN, outer_scale->loc, _("This is an outer scale variable."));
+          msg_at (SN, inner_scale->loc, _("This is an inner scale variable."));
+          ctables_axis_destroy (nest);
+          return NULL;
+        }
+
+      const struct ctables_axis *outer_sum = find_categorical_summary_spec (lhs);
+      if (outer_sum)
+        {
+          msg_at (SE, nest->loc,
+                  _("Summaries may only be requested for categorical variables "
+                    "at the innermost nesting level."));
+          msg_at (SN, outer_sum->loc,
+                  _("This outer categorical variable has a summary."));
+          ctables_axis_destroy (nest);
+          return NULL;
+        }
+
+      lhs = nest;
+    }
+
+  return lhs;
+}
+
+static struct ctables_axis *
+ctables_axis_parse_stack (struct ctables_axis_parse_ctx *ctx)
+{
+  int start_ofs = lex_ofs (ctx->lexer);
+  struct ctables_axis *lhs = ctables_axis_parse_nest (ctx);
+  if (!lhs)
+    return NULL;
+
+  while (lex_match (ctx->lexer, T_PLUS))
+    {
+      struct ctables_axis *rhs = ctables_axis_parse_nest (ctx);
+      if (!rhs)
+        {
+          ctables_axis_destroy (lhs);
+          return NULL;
+        }
+
+      lhs = ctables_axis_new_nonterminal (CTAO_STACK, lhs, rhs,
+                                          ctx->lexer, start_ofs);
+    }
+
+  return lhs;
+}
+
+static bool
+ctables_axis_parse (struct lexer *lexer, struct dictionary *dict,
+                    struct ctables_axis **axisp)
+{
+  *axisp = NULL;
+  if (lex_token (lexer) == T_BY
+      || lex_token (lexer) == T_SLASH
+      || lex_token (lexer) == T_ENDCMD)
+    return true;
+
+  struct ctables_axis_parse_ctx ctx = {
+    .lexer = lexer,
+    .dict = dict,
+  };
+  *axisp = ctables_axis_parse_stack (&ctx);
+  return *axisp;
+}
+\f
+/* CTABLES categories. */
+
+struct ctables_categories
+  {
+    size_t n_refs;
+    struct ctables_category *cats;
+    size_t n_cats;
+    bool show_empty;
+  };
+
+struct ctables_category
+  {
+    enum ctables_category_type
+      {
+        /* Explicit category lists. */
+        CCT_NUMBER,
+        CCT_STRING,
+        CCT_NRANGE,             /* Numerical range. */
+        CCT_SRANGE,             /* String range. */
+        CCT_MISSING,
+        CCT_OTHERNM,
+        CCT_POSTCOMPUTE,
+
+        /* Totals and subtotals. */
+        CCT_SUBTOTAL,
+        CCT_TOTAL,
+
+        /* Implicit category lists. */
+        CCT_VALUE,
+        CCT_LABEL,
+        CCT_FUNCTION,
+
+        /* For contributing to TOTALN. */
+        CCT_EXCLUDED_MISSING,
+      }
+    type;
+
+    struct ctables_category *subtotal;
+
+    bool hide;
+
+    union
+      {
+        double number;           /* CCT_NUMBER. */
+        struct substring string; /* CCT_STRING, in dictionary encoding. */
+        double nrange[2];        /* CCT_NRANGE. */
+        struct substring srange[2]; /* CCT_SRANGE. */
+
+        struct
+          {
+            char *total_label;      /* CCT_SUBTOTAL, CCT_TOTAL. */
+            bool hide_subcategories; /* CCT_SUBTOTAL. */
+          };
+
+        /* CCT_POSTCOMPUTE. */
+        struct
+          {
+            const struct ctables_postcompute *pc;
+            enum fmt_type parse_format;
+          };
+
+        /* CCT_VALUE, CCT_LABEL, CCT_FUNCTION. */
+        struct
+          {
+            bool include_missing;
+            bool sort_ascending;
+
+            /* CCT_FUNCTION. */
+            enum ctables_summary_function sort_function;
+            enum ctables_weighting weighting;
+            enum ctables_area_type area;
+            struct variable *sort_var;
+            double percentile;
+          };
+      };
+
+    /* Source location.  This is null for CCT_TOTAL, CCT_VALUE, CCT_LABEL,
+       CCT_FUNCTION, CCT_EXCLUDED_MISSING. */
+    struct msg_location *location;
+  };
+
+static void
+ctables_category_uninit (struct ctables_category *cat)
+{
+  if (!cat)
+    return;
+
+  msg_location_destroy (cat->location);
+  switch (cat->type)
+    {
+    case CCT_NUMBER:
+    case CCT_NRANGE:
+    case CCT_MISSING:
+    case CCT_OTHERNM:
+    case CCT_POSTCOMPUTE:
+      break;
+
+    case CCT_STRING:
+      ss_dealloc (&cat->string);
+      break;
+
+    case CCT_SRANGE:
+      ss_dealloc (&cat->srange[0]);
+      ss_dealloc (&cat->srange[1]);
+      break;
+
+    case CCT_SUBTOTAL:
+    case CCT_TOTAL:
+      free (cat->total_label);
+      break;
+
+    case CCT_VALUE:
+    case CCT_LABEL:
+    case CCT_FUNCTION:
+      break;
+
+    case CCT_EXCLUDED_MISSING:
+      break;
+    }
+}
+
+static bool
+nullable_substring_equal (const struct substring *a,
+                          const struct substring *b)
+{
+  return !a->string ? !b->string : b->string && ss_equals (*a, *b);
+}
+
+static bool
+ctables_category_equal (const struct ctables_category *a,
+                        const struct ctables_category *b)
+{
+  if (a->type != b->type)
+    return false;
+
+  switch (a->type)
+    {
+    case CCT_NUMBER:
+      return a->number == b->number;
+
+    case CCT_STRING:
+      return ss_equals (a->string, b->string);
+
+    case CCT_NRANGE:
+      return a->nrange[0] == b->nrange[0] && a->nrange[1] == b->nrange[1];
+
+    case CCT_SRANGE:
+      return (nullable_substring_equal (&a->srange[0], &b->srange[0])
+              && nullable_substring_equal (&a->srange[1], &b->srange[1]));
+
+    case CCT_MISSING:
+    case CCT_OTHERNM:
+      return true;
+
+    case CCT_POSTCOMPUTE:
+      return a->pc == b->pc;
+
+    case CCT_SUBTOTAL:
+    case CCT_TOTAL:
+      return !strcmp (a->total_label, b->total_label);
+
+    case CCT_VALUE:
+    case CCT_LABEL:
+    case CCT_FUNCTION:
+      return (a->include_missing == b->include_missing
+              && a->sort_ascending == b->sort_ascending
+              && a->sort_function == b->sort_function
+              && a->sort_var == b->sort_var
+              && a->percentile == b->percentile);
+
+    case CCT_EXCLUDED_MISSING:
+      return true;
+    }
+
+  NOT_REACHED ();
+}
+
+static void
+ctables_categories_unref (struct ctables_categories *c)
+{
+  if (!c)
+    return;
+
+  assert (c->n_refs > 0);
+  if (--c->n_refs)
+    return;
+
+  for (size_t i = 0; i < c->n_cats; i++)
+    ctables_category_uninit (&c->cats[i]);
+  free (c->cats);
+  free (c);
+}
+
+static bool
+ctables_categories_equal (const struct ctables_categories *a,
+                          const struct ctables_categories *b)
+{
+  if (a->n_cats != b->n_cats || a->show_empty != b->show_empty)
+    return false;
+
+  for (size_t i = 0; i < a->n_cats; i++)
+    if (!ctables_category_equal (&a->cats[i], &b->cats[i]))
+      return false;
+
+  return true;
+}
+
+static struct ctables_category
+cct_nrange (double low, double high)
+{
+  return (struct ctables_category) {
+    .type = CCT_NRANGE,
+    .nrange = { low, high }
+  };
+}
+
+static struct ctables_category
+cct_srange (struct substring low, struct substring high)
+{
+  return (struct ctables_category) {
+    .type = CCT_SRANGE,
+    .srange = { low, high }
+  };
+}
+
+static bool
+ctables_table_parse_subtotal (struct lexer *lexer, bool hide_subcategories,
+                              struct ctables_category *cat)
+{
+  char *total_label;
+  if (lex_match (lexer, T_EQUALS))
+    {
+      if (!lex_force_string (lexer))
+        return false;
+
+      total_label = ss_xstrdup (lex_tokss (lexer));
+      lex_get (lexer);
+    }
+  else
+    total_label = xstrdup (_("Subtotal"));
+
+  *cat = (struct ctables_category) {
+    .type = CCT_SUBTOTAL,
+    .hide_subcategories = hide_subcategories,
+    .total_label = total_label
+  };
+  return true;
+}
+
+static bool
+ctables_table_parse_explicit_category (struct lexer *lexer,
+                                       struct dictionary *dict,
+                                       struct ctables *ct,
+                                       struct ctables_category *cat)
+{
+  if (lex_match_id (lexer, "OTHERNM"))
+    *cat = (struct ctables_category) { .type = CCT_OTHERNM };
+  else if (lex_match_id (lexer, "MISSING"))
+    *cat = (struct ctables_category) { .type = CCT_MISSING };
+  else if (lex_match_id (lexer, "SUBTOTAL"))
+    return ctables_table_parse_subtotal (lexer, false, cat);
+  else if (lex_match_id (lexer, "HSUBTOTAL"))
+    return ctables_table_parse_subtotal (lexer, true, cat);
+  else if (lex_match_id (lexer, "LO"))
+    {
+      if (!lex_force_match_id (lexer, "THRU"))
+        return false;
+      if (lex_is_string (lexer))
+        {
+          struct substring sr0 = { .string = NULL };
+          struct substring sr1 = parse_substring (lexer, dict);
+          *cat = cct_srange (sr0, sr1);
+        }
+      else if (lex_force_num (lexer))
+        {
+          *cat = cct_nrange (-DBL_MAX, lex_number (lexer));
+          lex_get (lexer);
+        }
+      else
+        return false;
+    }
+  else if (lex_is_number (lexer))
+    {
+      double number = lex_number (lexer);
+      lex_get (lexer);
+      if (lex_match_id (lexer, "THRU"))
+        {
+          if (lex_match_id (lexer, "HI"))
+            *cat = cct_nrange (number, DBL_MAX);
+          else
+            {
+              if (!lex_force_num (lexer))
+                return false;
+              *cat = cct_nrange (number, lex_number (lexer));
+              lex_get (lexer);
+            }
+        }
+      else
+        *cat = (struct ctables_category) {
+          .type = CCT_NUMBER,
+          .number = number
+        };
+    }
+  else if (lex_is_string (lexer))
+    {
+      struct substring s = parse_substring (lexer, dict);
+      if (lex_match_id (lexer, "THRU"))
+        {
+          if (lex_match_id (lexer, "HI"))
+            {
+              struct substring sr1 = { .string = NULL };
+              *cat = cct_srange (s, sr1);
+            }
+          else
+            {
+              if (!lex_force_string (lexer))
+                {
+                  ss_dealloc (&s);
+                  return false;
+                }
+              struct substring sr1 = parse_substring (lexer, dict);
+              *cat = cct_srange (s, sr1);
+            }
+        }
+      else
+        *cat = (struct ctables_category) { .type = CCT_STRING, .string = s };
+    }
+  else if (lex_match (lexer, T_AND))
+    {
+      if (!lex_force_id (lexer))
+        return false;
+      struct ctables_postcompute *pc = ctables_find_postcompute (
+        ct, lex_tokcstr (lexer));
+      if (!pc)
+        {
+          struct msg_location *loc = lex_get_location (lexer, -1, 0);
+          msg_at (SE, loc, _("Unknown postcompute &%s."),
+                  lex_tokcstr (lexer));
+          msg_location_destroy (loc);
+          return false;
+        }
+      lex_get (lexer);
+
+      *cat = (struct ctables_category) { .type = CCT_POSTCOMPUTE, .pc = pc };
+    }
+  else
+    {
+      lex_error (lexer, NULL);
+      return false;
+    }
+
+  return true;
+}
+
+static bool
+parse_category_string (struct msg_location *location,
+                       struct substring s, const struct dictionary *dict,
+                       enum fmt_type format, double *n)
+{
+  union value v;
+  char *error = data_in (s, dict_get_encoding (dict), format,
+                         settings_get_fmt_settings (), &v, 0, NULL);
+  if (error)
+    {
+      msg_at (SE, location,
+              _("Failed to parse category specification as format %s: %s."),
+              fmt_name (format), error);
+      free (error);
+      return false;
+    }
+
+  *n = v.f;
+  return true;
+}
+
+static struct ctables_category *
+ctables_find_category_for_postcompute__ (const struct ctables_categories *cats,
+                                         const struct ctables_pcexpr *e)
+{
+  struct ctables_category *best = NULL;
+  size_t n_subtotals = 0;
+  for (size_t i = 0; i < cats->n_cats; i++)
+    {
+      struct ctables_category *cat = &cats->cats[i];
+      switch (e->op)
+        {
+        case CTPO_CAT_NUMBER:
+          if (cat->type == CCT_NUMBER && cat->number == e->number)
+            best = cat;
+          break;
+
+        case CTPO_CAT_STRING:
+          if (cat->type == CCT_STRING && ss_equals (cat->string, e->string))
+            best = cat;
+          break;
+
+        case CTPO_CAT_NRANGE:
+          if (cat->type == CCT_NRANGE
+              && cat->nrange[0] == e->nrange[0]
+              && cat->nrange[1] == e->nrange[1])
+            best = cat;
+          break;
+
+        case CTPO_CAT_SRANGE:
+          if (cat->type == CCT_SRANGE
+              && nullable_substring_equal (&cat->srange[0], &e->srange[0])
+              && nullable_substring_equal (&cat->srange[1], &e->srange[1]))
+            best = cat;
+          break;
+
+        case CTPO_CAT_MISSING:
+          if (cat->type == CCT_MISSING)
+            best = cat;
+          break;
+
+        case CTPO_CAT_OTHERNM:
+          if (cat->type == CCT_OTHERNM)
+            best = cat;
+          break;
+
+        case CTPO_CAT_SUBTOTAL:
+          if (cat->type == CCT_SUBTOTAL)
+            {
+              n_subtotals++;
+              if (e->subtotal_index == n_subtotals)
+                return cat;
+              else if (e->subtotal_index == 0)
+                best = cat;
+            }
+          break;
+
+        case CTPO_CAT_TOTAL:
+          if (cat->type == CCT_TOTAL)
+            return cat;
+          break;
+
+        case CTPO_CONSTANT:
+        case CTPO_ADD:
+        case CTPO_SUB:
+        case CTPO_MUL:
+        case CTPO_DIV:
+        case CTPO_POW:
+        case CTPO_NEG:
+          NOT_REACHED ();
+        }
+    }
+  if (e->op == CTPO_CAT_SUBTOTAL && e->subtotal_index == 0 && n_subtotals > 1)
+    return NULL;
+  return best;
+}
+
+static struct ctables_category *
+ctables_find_category_for_postcompute (const struct dictionary *dict,
+                                       const struct ctables_categories *cats,
+                                       enum fmt_type parse_format,
+                                       const struct ctables_pcexpr *e)
+{
+  if (parse_format != FMT_F)
+    {
+      if (e->op == CTPO_CAT_STRING)
+        {
+          double number;
+          if (!parse_category_string (e->location, e->string, dict,
+                                      parse_format, &number))
+            return NULL;
+
+          struct ctables_pcexpr e2 = {
+            .op = CTPO_CAT_NUMBER,
+            .number = number,
+            .location = e->location,
+          };
+          return ctables_find_category_for_postcompute__ (cats, &e2);
+        }
+      else if (e->op == CTPO_CAT_SRANGE)
+        {
+          double nrange[2];
+          if (!e->srange[0].string)
+            nrange[0] = -DBL_MAX;
+          else if (!parse_category_string (e->location, e->srange[0], dict,
+                                           parse_format, &nrange[0]))
+            return NULL;
+
+          if (!e->srange[1].string)
+            nrange[1] = DBL_MAX;
+          else if (!parse_category_string (e->location, e->srange[1], dict,
+                                           parse_format, &nrange[1]))
+            return NULL;
+
+          struct ctables_pcexpr e2 = {
+            .op = CTPO_CAT_NRANGE,
+            .nrange = { nrange[0], nrange[1] },
+            .location = e->location,
+          };
+          return ctables_find_category_for_postcompute__ (cats, &e2);
+        }
+    }
+  return ctables_find_category_for_postcompute__ (cats, e);
+}
+
+static struct substring
+rtrim_value (const union value *v, const struct variable *var)
+{
+  struct substring s = ss_buffer (CHAR_CAST (char *, v->s),
+                                  var_get_width (var));
+  ss_rtrim (&s, ss_cstr (" "));
+  return s;
+}
+
+static bool
+in_string_range (const union value *v, const struct variable *var,
+                 const struct substring *srange)
+{
+  struct substring s = rtrim_value (v, var);
+  return ((!srange[0].string || ss_compare (s, srange[0]) >= 0)
+          && (!srange[1].string || ss_compare (s, srange[1]) <= 0));
+}
+
+static const struct ctables_category *
+ctables_categories_match (const struct ctables_categories *c,
+                          const union value *v, const struct variable *var)
+{
+  if (var_is_numeric (var) && v->f == SYSMIS)
+    return NULL;
+
+  const struct ctables_category *othernm = NULL;
+  for (size_t i = c->n_cats; i-- > 0; )
+    {
+      const struct ctables_category *cat = &c->cats[i];
+      switch (cat->type)
+        {
+        case CCT_NUMBER:
+          if (cat->number == v->f)
+            return cat;
+          break;
+
+        case CCT_STRING:
+          if (ss_equals (cat->string, rtrim_value (v, var)))
+            return cat;
+          break;
+
+        case CCT_NRANGE:
+          if ((cat->nrange[0] == -DBL_MAX || v->f >= cat->nrange[0])
+              && (cat->nrange[1] == DBL_MAX || v->f <= cat->nrange[1]))
+            return cat;
+          break;
+
+        case CCT_SRANGE:
+          if (in_string_range (v, var, cat->srange))
+            return cat;
+          break;
+
+        case CCT_MISSING:
+          if (var_is_value_missing (var, v))
+            return cat;
+          break;
+
+        case CCT_POSTCOMPUTE:
+          break;
+
+        case CCT_OTHERNM:
+          if (!othernm)
+            othernm = cat;
+          break;
+
+        case CCT_SUBTOTAL:
+        case CCT_TOTAL:
+          break;
+
+        case CCT_VALUE:
+        case CCT_LABEL:
+        case CCT_FUNCTION:
+          return (cat->include_missing || !var_is_value_missing (var, v) ? cat
+                  : NULL);
+
+        case CCT_EXCLUDED_MISSING:
+          break;
+        }
+    }
+
+  return var_is_value_missing (var, v) ? NULL : othernm;
+}
+
+static const struct ctables_category *
+ctables_categories_total (const struct ctables_categories *c)
+{
+  const struct ctables_category *first = &c->cats[0];
+  const struct ctables_category *last = &c->cats[c->n_cats - 1];
+  return (first->type == CCT_TOTAL ? first
+          : last->type == CCT_TOTAL ? last
+          : NULL);
+}
+
+static void
+ctables_category_format_number (double number, const struct variable *var,
+                                struct string *s)
+{
+  struct pivot_value *pv = pivot_value_new_var_value (
+    var, &(union value) { .f = number });
+  pivot_value_format (pv, NULL, s);
+  pivot_value_destroy (pv);
+}
+
+static void
+ctables_category_format_string (struct substring string,
+                                const struct variable *var, struct string *out)
+{
+  int width = var_get_width (var);
+  char *s = xmalloc (width);
+  buf_copy_rpad (s, width, string.string, string.length, ' ');
+  struct pivot_value *pv = pivot_value_new_var_value (
+    var, &(union value) { .s = CHAR_CAST (uint8_t *, s) });
+  pivot_value_format (pv, NULL, out);
+  pivot_value_destroy (pv);
+  free (s);
+}
+
+static bool
+ctables_category_format_label (const struct ctables_category *cat,
+                               const struct variable *var,
+                               struct string *s)
+{
+  switch (cat->type)
+    {
+    case CCT_NUMBER:
+      ctables_category_format_number (cat->number, var, s);
+      return true;
+
+    case CCT_STRING:
+      ctables_category_format_string (cat->string, var, s);
+      return true;
+
+    case CCT_NRANGE:
+      ctables_category_format_number (cat->nrange[0], var, s);
+      ds_put_format (s, " THRU ");
+      ctables_category_format_number (cat->nrange[1], var, s);
+      return true;
+
+    case CCT_SRANGE:
+      ctables_category_format_string (cat->srange[0], var, s);
+      ds_put_format (s, " THRU ");
+      ctables_category_format_string (cat->srange[1], var, s);
+      return true;
+
+    case CCT_MISSING:
+      ds_put_cstr (s, "MISSING");
+      return true;
+
+    case CCT_OTHERNM:
+      ds_put_cstr (s, "OTHERNM");
+      return true;
+
+    case CCT_POSTCOMPUTE:
+      ds_put_format (s, "&%s", cat->pc->name);
+      return true;
+
+    case CCT_TOTAL:
+    case CCT_SUBTOTAL:
+      ds_put_cstr (s, cat->total_label);
+      return true;
+
+    case CCT_VALUE:
+    case CCT_LABEL:
+    case CCT_FUNCTION:
+    case CCT_EXCLUDED_MISSING:
+      return false;
+    }
+
+  return false;
+}
+
+static bool
+ctables_recursive_check_postcompute (struct dictionary *dict,
+                                     const struct ctables_pcexpr *e,
+                                     struct ctables_category *pc_cat,
+                                     const struct ctables_categories *cats,
+                                     const struct msg_location *cats_location)
+{
+  switch (e->op)
+    {
+    case CTPO_CAT_NUMBER:
+    case CTPO_CAT_STRING:
+    case CTPO_CAT_NRANGE:
+    case CTPO_CAT_SRANGE:
+    case CTPO_CAT_MISSING:
+    case CTPO_CAT_OTHERNM:
+    case CTPO_CAT_SUBTOTAL:
+    case CTPO_CAT_TOTAL:
+      {
+        struct ctables_category *cat = ctables_find_category_for_postcompute (
+          dict, cats, pc_cat->parse_format, e);
+        if (!cat)
+          {
+            if (e->op == CTPO_CAT_SUBTOTAL && e->subtotal_index == 0)
+              {
+                size_t n_subtotals = 0;
+                for (size_t i = 0; i < cats->n_cats; i++)
+                  n_subtotals += cats->cats[i].type == CCT_SUBTOTAL;
+                if (n_subtotals > 1)
+                  {
+                    msg_at (SE, cats_location,
+                            ngettext ("These categories include %zu instance "
+                                      "of SUBTOTAL or HSUBTOTAL, so references "
+                                      "from computed categories must refer to "
+                                      "subtotals by position, "
+                                      "e.g. SUBTOTAL[1].",
+                                      "These categories include %zu instances "
+                                      "of SUBTOTAL or HSUBTOTAL, so references "
+                                      "from computed categories must refer to "
+                                      "subtotals by position, "
+                                      "e.g. SUBTOTAL[1].",
+                                      n_subtotals),
+                            n_subtotals);
+                    msg_at (SN, e->location,
+                            _("This is the reference that lacks a position."));
+                    return NULL;
+                  }
+              }
+
+            msg_at (SE, pc_cat->location,
+                    _("Computed category &%s references a category not included "
+                      "in the category list."),
+                    pc_cat->pc->name);
+            msg_at (SN, e->location, _("This is the missing category."));
+            if (e->op == CTPO_CAT_SUBTOTAL)
+              msg_at (SN, cats_location,
+                      _("To fix the problem, add subtotals to the "
+                        "list of categories here."));
+            else if (e->op == CTPO_CAT_TOTAL)
+              msg (SN, _("To fix the problem, add TOTAL=YES to the variable's "
+                         "CATEGORIES specification."));
+            else
+              msg_at (SN, cats_location,
+                      _("To fix the problem, add the missing category to the "
+                        "list of categories here."));
+            return false;
+          }
+        if (pc_cat->pc->hide_source_cats)
+          cat->hide = true;
+        return true;
+      }
+
+    case CTPO_CONSTANT:
+      return true;
+
+    case CTPO_ADD:
+    case CTPO_SUB:
+    case CTPO_MUL:
+    case CTPO_DIV:
+    case CTPO_POW:
+    case CTPO_NEG:
+      for (size_t i = 0; i < 2; i++)
+        if (e->subs[i] && !ctables_recursive_check_postcompute (
+              dict, e->subs[i], pc_cat, cats, cats_location))
+          return false;
+      return true;
+    }
+
+  NOT_REACHED ();
+}
+
+static struct pivot_value *
+ctables_postcompute_label (const struct ctables_categories *cats,
+                           const struct ctables_category *cat,
+                           const struct variable *var)
+{
+  struct substring in = ss_cstr (cat->pc->label);
+  struct substring target = ss_cstr (")LABEL[");
+
+  struct string out = DS_EMPTY_INITIALIZER;
+  for (;;)
+    {
+      size_t chunk = ss_find_substring (in, target);
+      if (chunk == SIZE_MAX)
+        {
+          if (ds_is_empty (&out))
+            return pivot_value_new_user_text (in.string, in.length);
+          else
+            {
+              ds_put_substring (&out, in);
+              return pivot_value_new_user_text_nocopy (ds_steal_cstr (&out));
+            }
+        }
+
+      ds_put_substring (&out, ss_head (in, chunk));
+      ss_advance (&in, chunk + target.length);
+
+      struct substring idx_s;
+      if (!ss_get_until (&in, ']', &idx_s))
+        goto error;
+      char *tail;
+      long int idx = strtol (idx_s.string, &tail, 10);
+      if (idx < 1 || idx > cats->n_cats || tail != ss_end (idx_s))
+        goto error;
+
+      struct ctables_category *cat2 = &cats->cats[idx - 1];
+      if (!ctables_category_format_label (cat2, var, &out))
+        goto error;
+    }
+
+error:
+  ds_destroy (&out);
+  return pivot_value_new_user_text (cat->pc->label, SIZE_MAX);
+}
+
+static struct pivot_value *
+ctables_category_create_value_label (const struct ctables_categories *cats,
+                                     const struct ctables_category *cat,
+                                     const struct variable *var,
+                                     const union value *value)
+{
+  return (cat->type == CCT_POSTCOMPUTE && cat->pc->label
+          ? ctables_postcompute_label (cats, cat, var)
+          : cat->type == CCT_TOTAL || cat->type == CCT_SUBTOTAL
+          ? pivot_value_new_user_text (cat->total_label, SIZE_MAX)
+          : pivot_value_new_var_value (var, value));
+}
+\f
+/* CTABLES variable nesting and stacking. */
+
+/* A nested sequence of variables, e.g. a > b > c. */
+struct ctables_nest
+  {
+    struct variable **vars;
+    size_t n;
+    size_t scale_idx;
+    size_t summary_idx;
+    size_t *areas[N_CTATS];
+    size_t n_areas[N_CTATS];
+    size_t group_head;
+
+    struct ctables_summary_spec_set specs[N_CSVS];
+  };
+
+/* A stack of nestings, e.g. nest1 + nest2 + ... + nestN. */
+struct ctables_stack
+  {
+    struct ctables_nest *nests;
+    size_t n;
+  };
+
+static void
+ctables_nest_uninit (struct ctables_nest *nest)
+{
+  free (nest->vars);
+  for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+    ctables_summary_spec_set_uninit (&nest->specs[sv]);
+  for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+    free (nest->areas[at]);
+}
+
+static void
+ctables_stack_uninit (struct ctables_stack *stack)
+{
+  if (stack)
+    {
+      for (size_t i = 0; i < stack->n; i++)
+        ctables_nest_uninit (&stack->nests[i]);
+      free (stack->nests);
+    }
+}
+
+static struct ctables_stack
+nest_fts (struct ctables_stack s0, struct ctables_stack s1)
+{
+  if (!s0.n)
+    return s1;
+  else if (!s1.n)
+    return s0;
+
+  struct ctables_stack stack = { .nests = xnmalloc (s0.n, s1.n * sizeof *stack.nests) };
+  for (size_t i = 0; i < s0.n; i++)
+    for (size_t j = 0; j < s1.n; j++)
+      {
+        const struct ctables_nest *a = &s0.nests[i];
+        const struct ctables_nest *b = &s1.nests[j];
+
+        size_t allocate = a->n + b->n;
+        struct variable **vars = xnmalloc (allocate, sizeof *vars);
+        size_t n = 0;
+        for (size_t k = 0; k < a->n; k++)
+          vars[n++] = a->vars[k];
+        for (size_t k = 0; k < b->n; k++)
+          vars[n++] = b->vars[k];
+        assert (n == allocate);
+
+        const struct ctables_nest *summary_src;
+        if (!a->specs[CSV_CELL].var)
+          summary_src = b;
+        else if (!b->specs[CSV_CELL].var)
+          summary_src = a;
+        else
+          NOT_REACHED ();
+
+        struct ctables_nest *new = &stack.nests[stack.n++];
+        *new = (struct ctables_nest) {
+          .vars = vars,
+          .scale_idx = (a->scale_idx != SIZE_MAX ? a->scale_idx
+                        : b->scale_idx != SIZE_MAX ? a->n + b->scale_idx
+                        : SIZE_MAX),
+          .summary_idx = (a->summary_idx != SIZE_MAX ? a->summary_idx
+                          : b->summary_idx != SIZE_MAX ? a->n + b->summary_idx
+                          : SIZE_MAX),
+          .n = n,
+        };
+        for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+          ctables_summary_spec_set_clone (&new->specs[sv], &summary_src->specs[sv]);
+      }
+  ctables_stack_uninit (&s0);
+  ctables_stack_uninit (&s1);
+  return stack;
+}
+
+static struct ctables_stack
+stack_fts (struct ctables_stack s0, struct ctables_stack s1)
+{
+  struct ctables_stack stack = { .nests = xnmalloc (s0.n + s1.n, sizeof *stack.nests) };
+  for (size_t i = 0; i < s0.n; i++)
+    stack.nests[stack.n++] = s0.nests[i];
+  for (size_t i = 0; i < s1.n; i++)
+    {
+      stack.nests[stack.n] = s1.nests[i];
+      stack.nests[stack.n].group_head += s0.n;
+      stack.n++;
+    }
+  assert (stack.n == s0.n + s1.n);
+  free (s0.nests);
+  free (s1.nests);
+  return stack;
+}
+
+static struct ctables_stack
+var_fts (const struct ctables_axis *a)
+{
+  struct variable **vars = xmalloc (sizeof *vars);
+  *vars = a->var;
+
+  bool is_summary = a->specs[CSV_CELL].n || a->scale;
+  struct ctables_nest *nest = xmalloc (sizeof *nest);
+  *nest = (struct ctables_nest) {
+    .vars = vars,
+    .n = 1,
+    .scale_idx = a->scale ? 0 : SIZE_MAX,
+    .summary_idx = is_summary ? 0 : SIZE_MAX,
+  };
+  if (is_summary)
+    for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+      {
+        ctables_summary_spec_set_clone (&nest->specs[sv], &a->specs[sv]);
+        nest->specs[sv].var = a->var;
+        nest->specs[sv].is_scale = a->scale;
+      }
+  return (struct ctables_stack) { .nests = nest, .n = 1 };
+}
+
+static struct ctables_stack
+enumerate_fts (enum pivot_axis_type axis_type, const struct ctables_axis *a)
+{
+  if (!a)
+    return (struct ctables_stack) { .n = 0 };
+
+  switch (a->op)
+    {
+    case CTAO_VAR:
+      return var_fts (a);
+
+    case CTAO_STACK:
+      return stack_fts (enumerate_fts (axis_type, a->subs[0]),
+                        enumerate_fts (axis_type, a->subs[1]));
+
+    case CTAO_NEST:
+      /* This should consider any of the scale variables found in the result to
+         be linked to each other listwise for SMISSING=LISTWISE. */
+      return nest_fts (enumerate_fts (axis_type, a->subs[0]),
+                       enumerate_fts (axis_type, a->subs[1]));
+    }
+
+  NOT_REACHED ();
+}
+\f
+/* CTABLES summary calculation. */
+
+union ctables_summary
+  {
+    /* COUNT, VALIDN, TOTALN. */
+    double count;
+
+    /* MINIMUM, MAXIMUM, RANGE. */
+    struct
+      {
+        double min;
+        double max;
+      };
+
+    /* MEAN, SEMEAN, STDDEV, SUM, VARIANCE, *.SUM. */
+    struct moments1 *moments;
+
+    /* MEDIAN, MODE, PTILE. */
+    struct
+      {
+        struct casewriter *writer;
+        double ovalid;
+        double ovalue;
+      };
+  };
+
+static void
+ctables_summary_init (union ctables_summary *s,
+                      const struct ctables_summary_spec *ss)
+{
+  switch (ss->function)
+    {
+    case CTSF_COUNT:
+    case CTSF_areaPCT_COUNT:
+    case CTSF_areaPCT_VALIDN:
+    case CTSF_areaPCT_TOTALN:
+    case CTSF_MISSING:
+    case CTSF_TOTALN:
+    case CTSF_VALIDN:
+      s->count = 0;
+      break;
+
+    case CTSF_areaID:
+      break;
+
+    case CTSF_MAXIMUM:
+    case CTSF_MINIMUM:
+    case CTSF_RANGE:
+      s->min = s->max = SYSMIS;
+      break;
+
+    case CTSF_MEAN:
+    case CTSF_SUM:
+    case CTSF_areaPCT_SUM:
+      s->moments = moments1_create (MOMENT_MEAN);
+      break;
+
+    case CTSF_SEMEAN:
+    case CTSF_STDDEV:
+    case CTSF_VARIANCE:
+      s->moments = moments1_create (MOMENT_VARIANCE);
+      break;
+
+    case CTSF_MEDIAN:
+    case CTSF_MODE:
+    case CTSF_PTILE:
+      {
+        struct caseproto *proto = caseproto_create ();
+        proto = caseproto_add_width (proto, 0);
+        proto = caseproto_add_width (proto, 0);
+
+        struct subcase ordering;
+        subcase_init (&ordering, 0, 0, SC_ASCEND);
+        s->writer = sort_create_writer (&ordering, proto);
+        subcase_uninit (&ordering);
+        caseproto_unref (proto);
+
+        s->ovalid = 0;
+        s->ovalue = SYSMIS;
+      }
+      break;
+    }
+}
+
+static void
+ctables_summary_uninit (union ctables_summary *s,
+                        const struct ctables_summary_spec *ss)
+{
+  switch (ss->function)
+    {
+    case CTSF_COUNT:
+    case CTSF_areaPCT_COUNT:
+    case CTSF_areaPCT_VALIDN:
+    case CTSF_areaPCT_TOTALN:
+    case CTSF_MISSING:
+    case CTSF_TOTALN:
+    case CTSF_VALIDN:
+      break;
+
+    case CTSF_areaID:
+      break;
+
+    case CTSF_MAXIMUM:
+    case CTSF_MINIMUM:
+    case CTSF_RANGE:
+      break;
+
+    case CTSF_MEAN:
+    case CTSF_SEMEAN:
+    case CTSF_STDDEV:
+    case CTSF_SUM:
+    case CTSF_VARIANCE:
+    case CTSF_areaPCT_SUM:
+      moments1_destroy (s->moments);
+      break;
+
+    case CTSF_MEDIAN:
+    case CTSF_MODE:
+    case CTSF_PTILE:
+      casewriter_destroy (s->writer);
+      break;
+    }
+}
+
+static void
+ctables_summary_add (union ctables_summary *s,
+                     const struct ctables_summary_spec *ss,
+                     const union value *value,
+                     bool is_missing, bool is_included,
+                     double weight)
+{
+  /* To determine whether a case is included in a given table for a particular
+     kind of summary, consider the following charts for the variable being
+     summarized.  Only if "yes" appears is the case counted.
+
+     Categorical variables:                    VALIDN   other   TOTALN
+       Valid values in included categories       yes     yes      yes
+       Missing values in included categories     ---     yes      yes
+       Missing values in excluded categories     ---     ---      yes
+       Valid values in excluded categories       ---     ---      ---
+
+     Scale variables:                          VALIDN   other   TOTALN
+       Valid value                               yes     yes      yes
+       Missing value                             ---     yes      yes
+
+     Missing values include both user- and system-missing.  (The system-missing
+     value is always in an excluded category.)
+
+     One way to interpret the above table is that scale variables are like
+     categorical variables in which all values are in included categories.
+  */
+  switch (ss->function)
+    {
+    case CTSF_TOTALN:
+    case CTSF_areaPCT_TOTALN:
+      s->count += weight;
+      break;
+
+    case CTSF_COUNT:
+    case CTSF_areaPCT_COUNT:
+      if (is_included)
+        s->count += weight;
+      break;
+
+    case CTSF_VALIDN:
+    case CTSF_areaPCT_VALIDN:
+      if (!is_missing)
+        s->count += weight;
+      break;
+
+    case CTSF_areaID:
+      break;
+
+    case CTSF_MISSING:
+      if (is_missing)
+        s->count += weight;
+      break;
+
+    case CTSF_MAXIMUM:
+    case CTSF_MINIMUM:
+    case CTSF_RANGE:
+      if (!is_missing)
+        {
+          if (s->min == SYSMIS || value->f < s->min)
+            s->min = value->f;
+          if (s->max == SYSMIS || value->f > s->max)
+            s->max = value->f;
+        }
+      break;
+
+    case CTSF_MEAN:
+    case CTSF_SEMEAN:
+    case CTSF_STDDEV:
+    case CTSF_SUM:
+    case CTSF_VARIANCE:
+      if (!is_missing)
+        moments1_add (s->moments, value->f, weight);
+      break;
+
+    case CTSF_areaPCT_SUM:
+      if (!is_missing)
+        moments1_add (s->moments, value->f, weight);
+      break;
+
+    case CTSF_MEDIAN:
+    case CTSF_MODE:
+    case CTSF_PTILE:
+      if (!is_missing)
+        {
+          s->ovalid += weight;
+
+          struct ccase *c = case_create (casewriter_get_proto (s->writer));
+          *case_num_rw_idx (c, 0) = value->f;
+          *case_num_rw_idx (c, 1) = weight;
+          casewriter_write (s->writer, c);
+        }
+      break;
+    }
+}
+
+static double
+ctables_summary_value (struct ctables_area *areas[N_CTATS],
+                       union ctables_summary *s,
+                       const struct ctables_summary_spec *ss)
+{
+  switch (ss->function)
+    {
+    case CTSF_COUNT:
+      return s->count;
+
+    case CTSF_areaID:
+      return areas[ss->calc_area]->sequence;
+
+    case CTSF_areaPCT_COUNT:
+      {
+        const struct ctables_area *a = areas[ss->calc_area];
+        double a_count = a->count[ss->weighting];
+        return a_count ? s->count / a_count * 100 : SYSMIS;
+      }
+
+    case CTSF_areaPCT_VALIDN:
+      {
+        const struct ctables_area *a = areas[ss->calc_area];
+        double a_valid = a->valid[ss->weighting];
+        return a_valid ? s->count / a_valid * 100 : SYSMIS;
+      }
+
+    case CTSF_areaPCT_TOTALN:
+      {
+        const struct ctables_area *a = areas[ss->calc_area];
+        double a_total = a->total[ss->weighting];
+        return a_total ? s->count / a_total * 100 : SYSMIS;
+      }
+
+    case CTSF_MISSING:
+    case CTSF_TOTALN:
+    case CTSF_VALIDN:
+      return s->count;
+
+    case CTSF_MAXIMUM:
+      return s->max;
+
+    case CTSF_MINIMUM:
+      return s->min;
+
+    case CTSF_RANGE:
+      return s->max != SYSMIS && s->min != SYSMIS ? s->max - s->min : SYSMIS;
+
+    case CTSF_MEAN:
+      {
+        double mean;
+        moments1_calculate (s->moments, NULL, &mean, NULL, NULL, NULL);
+        return mean;
+      }
+
+    case CTSF_SEMEAN:
+      {
+        double weight, variance;
+        moments1_calculate (s->moments, &weight, NULL, &variance, NULL, NULL);
+        return calc_semean (variance, weight);
+      }
+
+    case CTSF_STDDEV:
+      {
+        double variance;
+        moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
+        return variance != SYSMIS ? sqrt (variance) : SYSMIS;
+      }
+
+    case CTSF_SUM:
+      {
+        double weight, mean;
+        moments1_calculate (s->moments, &weight, &mean, NULL, NULL, NULL);
+        return weight != SYSMIS && mean != SYSMIS ? weight * mean : SYSMIS;
+      }
+
+    case CTSF_VARIANCE:
+      {
+        double variance;
+        moments1_calculate (s->moments, NULL, NULL, &variance, NULL, NULL);
+        return variance;
+      }
+
+    case CTSF_areaPCT_SUM:
+      {
+        double weight, mean;
+        moments1_calculate (s->moments, &weight, &mean, NULL, NULL, NULL);
+        if (weight == SYSMIS || mean == SYSMIS)
+          return SYSMIS;
+
+        const struct ctables_area *a = areas[ss->calc_area];
+        const struct ctables_sum *sum = &a->sums[ss->sum_var_idx];
+        double denom = sum->sum[ss->weighting];
+        return denom != 0 ? weight * mean / denom * 100 : SYSMIS;
+      }
+
+    case CTSF_MEDIAN:
+    case CTSF_PTILE:
+      if (s->writer)
+        {
+          struct casereader *reader = casewriter_make_reader (s->writer);
+          s->writer = NULL;
+
+          struct percentile *ptile = percentile_create (
+            ss->function == CTSF_PTILE ? ss->percentile : 0.5, s->ovalid);
+          struct order_stats *os = &ptile->parent;
+          order_stats_accumulate_idx (&os, 1, reader, 1, 0);
+          s->ovalue = percentile_calculate (ptile, PC_HAVERAGE);
+          statistic_destroy (&ptile->parent.parent);
+        }
+      return s->ovalue;
+
+    case CTSF_MODE:
+      if (s->writer)
+        {
+          struct casereader *reader = casewriter_make_reader (s->writer);
+          s->writer = NULL;
+
+          struct mode *mode = mode_create ();
+          struct order_stats *os = &mode->parent;
+          order_stats_accumulate_idx (&os, 1, reader, 1, 0);
+          s->ovalue = mode->mode;
+          statistic_destroy (&mode->parent.parent);
+        }
+      return s->ovalue;
+    }
+
+  NOT_REACHED ();
+}
+\f
+/* CTABLES occurrences. */
+
+struct ctables_occurrence
+  {
+    struct hmap_node node;
+    union value value;
+  };
+
+static void
+ctables_add_occurrence (const struct variable *var,
+                        const union value *value,
+                        struct hmap *occurrences)
+{
+  int width = var_get_width (var);
+  unsigned int hash = value_hash (value, width, 0);
+
+  struct ctables_occurrence *o;
+  HMAP_FOR_EACH_WITH_HASH (o, struct ctables_occurrence, node, hash,
+                           occurrences)
+    if (value_equal (value, &o->value, width))
+      return;
+
+  o = xmalloc (sizeof *o);
+  value_clone (&o->value, value, width);
+  hmap_insert (occurrences, &o->node, hash);
+}
+\f
+enum ctables_vlabel
+  {
+    CTVL_NONE = SETTINGS_VALUE_SHOW_DEFAULT,
+    CTVL_NAME = SETTINGS_VALUE_SHOW_VALUE,
+    CTVL_LABEL = SETTINGS_VALUE_SHOW_LABEL,
+    CTVL_BOTH = SETTINGS_VALUE_SHOW_BOTH,
+  };
+
+struct ctables_cell
+  {
+    /* In struct ctables_section's 'cells' hmap.  Indexed by all the values in
+       all the axes (except the scalar variable, if any). */
+    struct hmap_node node;
+
+    /* The areas that contain this cell. */
+    uint32_t omit_areas;
+    struct ctables_area *areas[N_CTATS];
+
+    bool hide;
+
+    bool postcompute;
+    enum ctables_summary_variant sv;
+
+    struct ctables_cell_axis
+      {
+        struct ctables_cell_value
+          {
+            const struct ctables_category *category;
+            union value value;
+          }
+        *cvs;
+        int leaf;
+      }
+    axes[PIVOT_N_AXES];
+
+    union ctables_summary *summaries;
+  };
+
+struct ctables_section
+  {
+    /* Settings. */
+    struct ctables_table *table;
+    struct ctables_nest *nests[PIVOT_N_AXES];
+
+    /* Data. */
+    struct hmap *occurrences[PIVOT_N_AXES]; /* "struct ctables_occurrence"s. */
+    struct hmap cells;            /* Contains "struct ctables_cell"s. */
+    struct hmap areas[N_CTATS];   /* Contains "struct ctables_area"s. */
+  };
+
+static void ctables_section_uninit (struct ctables_section *);
+
+struct ctables_table
+  {
+    struct ctables *ctables;
+    struct ctables_axis *axes[PIVOT_N_AXES];
+    struct ctables_stack stacks[PIVOT_N_AXES];
+    struct ctables_section *sections;
+    size_t n_sections;
+    enum pivot_axis_type summary_axis;
+    struct ctables_summary_spec_set summary_specs;
+    struct variable **sum_vars;
+    size_t n_sum_vars;
+
+    enum pivot_axis_type slabels_axis;
+    bool slabels_visible;
+
+    /* The innermost category labels for axis 'a' appear on axis label_axis[a].
+
+       Most commonly, label_axis[a] == a, and in particular we always have
+       label_axis{PIVOT_AXIS_LAYER] == PIVOT_AXIS_LAYER.
+
+       If ROWLABELS or COLLABELS is specified, then one of
+       label_axis[PIVOT_AXIS_ROW] or label_axis[PIVOT_AXIS_COLUMN] can be the
+       opposite axis or PIVOT_AXIS_LAYER.  Only one of them will differ.
+
+       If any category labels are moved, then 'clabels_example' is one of the
+       variables being moved (and it is otherwise NULL).  All of the variables
+       being moved have the same width, value labels, and categories, so this
+       example variable can be used to find those out.
+
+       The remaining members in this group are relevant only if category labels
+       are moved.
+
+       'clabels_values_map' holds a "struct ctables_value" for all the values
+       that appear in all of the variables in the moved categories.  It is
+       accumulated as the data is read.  Once the data is fully read, its
+       sorted values are put into 'clabels_values' and 'n_clabels_values'.
+    */
+    enum pivot_axis_type label_axis[PIVOT_N_AXES];
+    enum pivot_axis_type clabels_from_axis;
+    enum pivot_axis_type clabels_to_axis;
+    const struct variable *clabels_example;
+    struct hmap clabels_values_map;
+    struct ctables_value **clabels_values;
+    size_t n_clabels_values;
+
+    /* Indexed by variable dictionary index. */
+    struct ctables_categories **categories;
+    size_t n_categories;
+
+    double cilevel;
+
+    char *caption;
+    char *corner;
+    char *title;
+
+    struct ctables_chisq *chisq;
+    struct ctables_pairwise *pairwise;
+  };
+
+struct ctables_cell_sort_aux
+  {
+    const struct ctables_nest *nest;
+    enum pivot_axis_type a;
+  };
+
+static int
+ctables_cell_compare_3way (const void *a_, const void *b_, const void *aux_)
+{
+  const struct ctables_cell_sort_aux *aux = aux_;
+  struct ctables_cell *const *ap = a_;
+  struct ctables_cell *const *bp = b_;
+  const struct ctables_cell *a = *ap;
+  const struct ctables_cell *b = *bp;
+
+  const struct ctables_nest *nest = aux->nest;
+  for (size_t i = 0; i < nest->n; i++)
+    if (i != nest->scale_idx)
+      {
+        const struct variable *var = nest->vars[i];
+        const struct ctables_cell_value *a_cv = &a->axes[aux->a].cvs[i];
+        const struct ctables_cell_value *b_cv = &b->axes[aux->a].cvs[i];
+        if (a_cv->category != b_cv->category)
+          return a_cv->category > b_cv->category ? 1 : -1;
+
+        const union value *a_val = &a_cv->value;
+        const union value *b_val = &b_cv->value;
+        switch (a_cv->category->type)
+          {
+          case CCT_NUMBER:
+          case CCT_STRING:
+          case CCT_SUBTOTAL:
+          case CCT_TOTAL:
+          case CCT_POSTCOMPUTE:
+          case CCT_EXCLUDED_MISSING:
+            /* Must be equal. */
+            continue;
+
+          case CCT_NRANGE:
+          case CCT_SRANGE:
+          case CCT_MISSING:
+          case CCT_OTHERNM:
+            {
+              int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+              if (cmp)
+                return cmp;
+            }
+            break;
+
+          case CCT_VALUE:
+            {
+              int cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+              if (cmp)
+                return a_cv->category->sort_ascending ? cmp : -cmp;
+            }
+            break;
+
+          case CCT_LABEL:
+            {
+              const char *a_label = var_lookup_value_label (var, a_val);
+              const char *b_label = var_lookup_value_label (var, b_val);
+              int cmp;
+              if (a_label)
+                {
+                  if (!b_label)
+                    return -1;
+                  cmp = strcmp (a_label, b_label);
+                }
+              else
+                {
+                  if (b_label)
+                    return 1;
+                  cmp = value_compare_3way (a_val, b_val, var_get_width (var));
+                }
+              if (cmp)
+                return a_cv->category->sort_ascending ? cmp : -cmp;
+            }
+            break;
+
+          case CCT_FUNCTION:
+            NOT_REACHED ();
+          }
+      }
+  return 0;
+}
+
+static int
+ctables_cell_compare_leaf_3way (const void *a_, const void *b_,
+                                const void *aux UNUSED)
+{
+  struct ctables_cell *const *ap = a_;
+  struct ctables_cell *const *bp = b_;
+  const struct ctables_cell *a = *ap;
+  const struct ctables_cell *b = *bp;
+
+  for (enum pivot_axis_type axis = 0; axis < PIVOT_N_AXES; axis++)
+    {
+      int al = a->axes[axis].leaf;
+      int bl = b->axes[axis].leaf;
+      if (al != bl)
+        return al > bl ? 1 : -1;
+    }
+  return 0;
+}
+
+static struct ctables_area *
+ctables_area_insert (struct ctables_section *s, struct ctables_cell *cell,
+                       enum ctables_area_type area)
+{
+  size_t hash = 0;
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = 0; i < nest->n_areas[area]; i++)
+        {
+          size_t v_idx = nest->areas[area][i];
+          struct ctables_cell_value *cv = &cell->axes[a].cvs[v_idx];
+          hash = hash_pointer (cv->category, hash);
+          if (cv->category->type != CCT_TOTAL
+              && cv->category->type != CCT_SUBTOTAL
+              && cv->category->type != CCT_POSTCOMPUTE)
+            hash = value_hash (&cv->value,
+                               var_get_width (nest->vars[v_idx]), hash);
+        }
+    }
+
+  struct ctables_area *a;
+  HMAP_FOR_EACH_WITH_HASH (a, struct ctables_area, node, hash, &s->areas[area])
+    {
+      const struct ctables_cell *df = a->example;
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        {
+          const struct ctables_nest *nest = s->nests[a];
+          for (size_t i = 0; i < nest->n_areas[area]; i++)
+            {
+              size_t v_idx = nest->areas[area][i];
+              struct ctables_cell_value *cv1 = &df->axes[a].cvs[v_idx];
+              struct ctables_cell_value *cv2 = &cell->axes[a].cvs[v_idx];
+              if (cv1->category != cv2->category
+                  || (cv1->category->type != CCT_TOTAL
+                      && cv1->category->type != CCT_SUBTOTAL
+                      && cv1->category->type != CCT_POSTCOMPUTE
+                      && !value_equal (&cv1->value, &cv2->value,
+                                       var_get_width (nest->vars[v_idx]))))
+                goto not_equal;
+            }
+        }
+      return a;
+
+    not_equal: ;
+    }
+
+  struct ctables_sum *sums = (s->table->n_sum_vars
+                              ? xzalloc (s->table->n_sum_vars * sizeof *sums)
+                              : NULL);
+
+  a = xmalloc (sizeof *a);
+  *a = (struct ctables_area) { .example = cell, .sums = sums };
+  hmap_insert (&s->areas[area], &a->node, hash);
+  return a;
+}
+
+static struct ctables_cell *
+ctables_cell_insert__ (struct ctables_section *s, const struct ccase *c,
+                       const struct ctables_category **cats[PIVOT_N_AXES])
+{
+  size_t hash = 0;
+  enum ctables_summary_variant sv = CSV_CELL;
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = 0; i < nest->n; i++)
+        if (i != nest->scale_idx)
+          {
+            hash = hash_pointer (cats[a][i], hash);
+            if (cats[a][i]->type != CCT_TOTAL
+                && cats[a][i]->type != CCT_SUBTOTAL
+                && cats[a][i]->type != CCT_POSTCOMPUTE)
+              hash = value_hash (case_data (c, nest->vars[i]),
+                                 var_get_width (nest->vars[i]), hash);
+            else
+              sv = CSV_TOTAL;
+          }
+    }
+
+  struct ctables_cell *cell;
+  HMAP_FOR_EACH_WITH_HASH (cell, struct ctables_cell, node, hash, &s->cells)
+    {
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        {
+          const struct ctables_nest *nest = s->nests[a];
+          for (size_t i = 0; i < nest->n; i++)
+            if (i != nest->scale_idx
+                && (cats[a][i] != cell->axes[a].cvs[i].category
+                    || (cats[a][i]->type != CCT_TOTAL
+                        && cats[a][i]->type != CCT_SUBTOTAL
+                        && cats[a][i]->type != CCT_POSTCOMPUTE
+                        && !value_equal (case_data (c, nest->vars[i]),
+                                         &cell->axes[a].cvs[i].value,
+                                         var_get_width (nest->vars[i])))))
+                goto not_equal;
+        }
+
+      return cell;
+
+    not_equal: ;
+    }
+
+  cell = xmalloc (sizeof *cell);
+  cell->hide = false;
+  cell->sv = sv;
+  cell->omit_areas = 0;
+  cell->postcompute = false;
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      cell->axes[a].cvs = (nest->n
+                           ? xnmalloc (nest->n, sizeof *cell->axes[a].cvs)
+                           : NULL);
+      for (size_t i = 0; i < nest->n; i++)
+        {
+          const struct ctables_category *cat = cats[a][i];
+          const struct variable *var = nest->vars[i];
+          const union value *value = case_data (c, var);
+          if (i != nest->scale_idx)
+            {
+              const struct ctables_category *subtotal = cat->subtotal;
+              if (cat->hide || (subtotal && subtotal->hide_subcategories))
+                cell->hide = true;
+
+              if (cat->type == CCT_TOTAL
+                  || cat->type == CCT_SUBTOTAL
+                  || cat->type == CCT_POSTCOMPUTE)
+                {
+                  switch (a)
+                    {
+                    case PIVOT_AXIS_COLUMN:
+                      cell->omit_areas |= ((1u << CTAT_TABLE) |
+                                           (1u << CTAT_LAYER) |
+                                           (1u << CTAT_LAYERCOL) |
+                                           (1u << CTAT_SUBTABLE) |
+                                           (1u << CTAT_COL));
+                      break;
+                    case PIVOT_AXIS_ROW:
+                      cell->omit_areas |= ((1u << CTAT_TABLE) |
+                                           (1u << CTAT_LAYER) |
+                                           (1u << CTAT_LAYERROW) |
+                                           (1u << CTAT_SUBTABLE) |
+                                           (1u << CTAT_ROW));
+                      break;
+                    case PIVOT_AXIS_LAYER:
+                      cell->omit_areas |= ((1u << CTAT_TABLE) |
+                                           (1u << CTAT_LAYER));
+                      break;
+                    }
+                }
+              if (cat->type == CCT_POSTCOMPUTE)
+                cell->postcompute = true;
+            }
+
+          cell->axes[a].cvs[i].category = cat;
+          value_clone (&cell->axes[a].cvs[i].value, value, var_get_width (var));
+        }
+    }
+
+  const struct ctables_nest *ss = s->nests[s->table->summary_axis];
+  const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
+  cell->summaries = xmalloc (specs->n * sizeof *cell->summaries);
+  for (size_t i = 0; i < specs->n; i++)
+    ctables_summary_init (&cell->summaries[i], &specs->specs[i]);
+  for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+    cell->areas[at] = ctables_area_insert (s, cell, at);
+  hmap_insert (&s->cells, &cell->node, hash);
+  return cell;
+}
+
+static void
+add_weight (double dst[N_CTWS], const double src[N_CTWS])
+{
+  for (enum ctables_weighting wt = 0; wt < N_CTWS; wt++)
+    dst[wt] += src[wt];
+}
+
+static void
+ctables_cell_add__ (struct ctables_section *s, const struct ccase *c,
+                    const struct ctables_category **cats[PIVOT_N_AXES],
+                    bool is_included, double weight[N_CTWS])
+{
+  struct ctables_cell *cell = ctables_cell_insert__ (s, c, cats);
+  const struct ctables_nest *ss = s->nests[s->table->summary_axis];
+
+  const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
+  const union value *value = case_data (c, specs->var);
+  bool is_missing = var_is_value_missing (specs->var, value);
+  bool is_scale_missing
+    = is_missing || (specs->is_scale && is_listwise_missing (specs, c));
+
+  for (size_t i = 0; i < specs->n; i++)
+     ctables_summary_add (&cell->summaries[i], &specs->specs[i], value,
+                          is_scale_missing, is_included,
+                          weight[specs->specs[i].weighting]);
+  for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+    if (!(cell->omit_areas && (1u << at)))
+      {
+        struct ctables_area *a = cell->areas[at];
+
+        add_weight (a->total, weight);
+        if (is_included)
+          add_weight (a->count, weight);
+        if (!is_missing)
+          {
+            add_weight (a->valid, weight);
+
+            if (!is_scale_missing)
+              for (size_t i = 0; i < s->table->n_sum_vars; i++)
+                {
+                  const struct variable *var = s->table->sum_vars[i];
+                  double addend = case_num (c, var);
+                  if (!var_is_num_missing (var, addend))
+                    for (enum ctables_weighting wt = 0; wt < N_CTWS; wt++)
+                      a->sums[i].sum[wt] += addend * weight[wt];
+                }
+          }
+      }
+}
+
+static void
+recurse_totals (struct ctables_section *s, const struct ccase *c,
+                const struct ctables_category **cats[PIVOT_N_AXES],
+                bool is_included, double weight[N_CTWS],
+                enum pivot_axis_type start_axis, size_t start_nest)
+{
+  for (enum pivot_axis_type a = start_axis; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = start_nest; i < nest->n; i++)
+        {
+          if (i == nest->scale_idx)
+            continue;
+
+          const struct variable *var = nest->vars[i];
+
+          const struct ctables_category *total = ctables_categories_total (
+            s->table->categories[var_get_dict_index (var)]);
+          if (total)
+            {
+              const struct ctables_category *save = cats[a][i];
+              cats[a][i] = total;
+              ctables_cell_add__ (s, c, cats, is_included, weight);
+              recurse_totals (s, c, cats, is_included, weight, a, i + 1);
+              cats[a][i] = save;
+            }
+        }
+      start_nest = 0;
+    }
+}
+
+static void
+recurse_subtotals (struct ctables_section *s, const struct ccase *c,
+                   const struct ctables_category **cats[PIVOT_N_AXES],
+                   bool is_included, double weight[N_CTWS],
+                   enum pivot_axis_type start_axis, size_t start_nest)
+{
+  for (enum pivot_axis_type a = start_axis; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = start_nest; i < nest->n; i++)
+        {
+          if (i == nest->scale_idx)
+            continue;
+
+          const struct ctables_category *save = cats[a][i];
+          if (save->subtotal)
+            {
+              cats[a][i] = save->subtotal;
+              ctables_cell_add__ (s, c, cats, is_included, weight);
+              recurse_subtotals (s, c, cats, is_included, weight, a, i + 1);
+              cats[a][i] = save;
+            }
+        }
+      start_nest = 0;
+    }
+}
+
+static void
+ctables_cell_insert (struct ctables_section *s, const struct ccase *c,
+                     double weight[N_CTWS])
+{
+  const struct ctables_category *layer_cats[s->nests[PIVOT_AXIS_LAYER]->n];
+  const struct ctables_category *row_cats[s->nests[PIVOT_AXIS_ROW]->n];
+  const struct ctables_category *column_cats[s->nests[PIVOT_AXIS_COLUMN]->n];
+  const struct ctables_category **cats[PIVOT_N_AXES] =
+    {
+      [PIVOT_AXIS_LAYER] = layer_cats,
+      [PIVOT_AXIS_ROW] = row_cats,
+      [PIVOT_AXIS_COLUMN] = column_cats,
+    };
+
+  bool is_included = true;
+
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = 0; i < nest->n; i++)
+        if (i != nest->scale_idx)
+          {
+            const struct variable *var = nest->vars[i];
+            const union value *value = case_data (c, var);
+
+            cats[a][i] = ctables_categories_match (
+              s->table->categories[var_get_dict_index (var)], value, var);
+            if (!cats[a][i])
+              {
+                if (i != nest->summary_idx)
+                  return;
+
+                if (!var_is_value_missing (var, value))
+                  return;
+
+                static const struct ctables_category cct_excluded_missing = {
+                  .type = CCT_EXCLUDED_MISSING,
+                  .hide = true,
+                };
+                cats[a][i] = &cct_excluded_missing;
+                is_included = false;
+              }
+        }
+    }
+
+  if (is_included)
+    for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+      {
+        const struct ctables_nest *nest = s->nests[a];
+        for (size_t i = 0; i < nest->n; i++)
+          if (i != nest->scale_idx)
+            {
+              const struct variable *var = nest->vars[i];
+              const union value *value = case_data (c, var);
+              ctables_add_occurrence (var, value, &s->occurrences[a][i]);
+            }
+      }
+
+  ctables_cell_add__ (s, c, cats, is_included, weight);
+  recurse_totals (s, c, cats, is_included, weight, 0, 0);
+  recurse_subtotals (s, c, cats, is_included, weight, 0, 0);
+}
+\f
+struct ctables_value
+  {
+    struct hmap_node node;
+    union value value;
+    int leaf;
+  };
+
+static struct ctables_value *
+ctables_value_find__ (struct ctables_table *t, const union value *value,
+                      int width, unsigned int hash)
+{
+  struct ctables_value *clv;
+  HMAP_FOR_EACH_WITH_HASH (clv, struct ctables_value, node,
+                           hash, &t->clabels_values_map)
+    if (value_equal (value, &clv->value, width))
+      return clv;
+  return NULL;
+}
+
+static void
+ctables_value_insert (struct ctables_table *t, const union value *value,
+                      int width)
+{
+  unsigned int hash = value_hash (value, width, 0);
+  struct ctables_value *clv = ctables_value_find__ (t, value, width, hash);
+  if (!clv)
+    {
+      clv = xmalloc (sizeof *clv);
+      value_clone (&clv->value, value, width);
+      hmap_insert (&t->clabels_values_map, &clv->node, hash);
+    }
+}
+
+static struct ctables_value *
+ctables_value_find (struct ctables_table *t,
+                    const union value *value, int width)
+{
+  return ctables_value_find__ (t, value, width,
+                               value_hash (value, width, 0));
+}
+
+static int
+compare_ctables_values_3way (const void *a_, const void *b_, const void *width_)
+{
+  const struct ctables_value *const *ap = a_;
+  const struct ctables_value *const *bp = b_;
+  const struct ctables_value *a = *ap;
+  const struct ctables_value *b = *bp;
+  const int *width = width_;
+  return value_compare_3way (&a->value, &b->value, *width);
+}
+
+static void
+ctables_sort_clabels_values (struct ctables_table *t)
+{
+  const struct variable *v0 = t->clabels_example;
+  int width = var_get_width (v0);
+
+  struct ctables_categories *c0 = t->categories[var_get_dict_index (v0)];
+  if (c0->show_empty)
+    {
+      const struct val_labs *val_labs = var_get_value_labels (v0);
+      for (const struct val_lab *vl = val_labs_first (val_labs); vl;
+           vl = val_labs_next (val_labs, vl))
+        if (ctables_categories_match (c0, &vl->value, v0))
+          ctables_value_insert (t, &vl->value, width);
+    }
+
+  size_t n = hmap_count (&t->clabels_values_map);
+  t->clabels_values = xnmalloc (n, sizeof *t->clabels_values);
+
+  struct ctables_value *clv;
+  size_t i = 0;
+  HMAP_FOR_EACH (clv, struct ctables_value, node, &t->clabels_values_map)
+    t->clabels_values[i++] = clv;
+  t->n_clabels_values = n;
+  assert (i == n);
+
+  sort (t->clabels_values, n, sizeof *t->clabels_values,
+        compare_ctables_values_3way, &width);
+
+  for (size_t i = 0; i < n; i++)
+    t->clabels_values[i]->leaf = i;
+}
+\f
+struct ctables
+  {
+    const struct dictionary *dict;
+    struct pivot_table_look *look;
+
+    /* For CTEF_* formats. */
+    struct fmt_settings ctables_formats;
+
+    /* If this is NULL, zeros are displayed using the normal print format.
+       Otherwise, this string is displayed. */
+    char *zero;
+
+    /* If this is NULL, missing values are displayed using the normal print
+       format.  Otherwise, this string is displayed. */
+    char *missing;
+
+    /* Indexed by variable dictionary index. */
+    enum ctables_vlabel *vlabels;
+
+    struct hmap postcomputes;   /* Contains "struct ctables_postcompute"s. */
+
+    bool mrsets_count_duplicates; /* MRSETS. */
+    bool smissing_listwise;       /* SMISSING. */
+    struct variable *e_weight;    /* WEIGHT. */
+    int hide_threshold;           /* HIDESMALLCOUNTS. */
+
+    struct ctables_table **tables;
+    size_t n_tables;
+  };
+\f
+static double
+ctpo_add (double a, double b)
+{
+  return a + b;
+}
+
+static double
+ctpo_sub (double a, double b)
+{
+  return a - b;
+}
+
+static double
+ctpo_mul (double a, double b)
+{
+  return a * b;
+}
+
+static double
+ctpo_div (double a, double b)
+{
+  return b ? a / b : SYSMIS;
+}
+
+static double
+ctpo_pow (double a, double b)
+{
+  int save_errno = errno;
+  errno = 0;
+  double result = pow (a, b);
+  if (errno)
+    result = SYSMIS;
+  errno = save_errno;
+  return result;
+}
+
+static double
+ctpo_neg (double a, double b UNUSED)
+{
+  return -a;
+}
+
+struct ctables_pcexpr_evaluate_ctx
+  {
+    const struct ctables_cell *cell;
+    const struct ctables_section *section;
+    const struct ctables_categories *cats;
+    enum pivot_axis_type pc_a;
+    size_t pc_a_idx;
+    size_t summary_idx;
+    enum fmt_type parse_format;
+  };
+
+static double ctables_pcexpr_evaluate (
+  const struct ctables_pcexpr_evaluate_ctx *, const struct ctables_pcexpr *);
+
+static double
+ctables_pcexpr_evaluate_nonterminal (
+  const struct ctables_pcexpr_evaluate_ctx *ctx,
+  const struct ctables_pcexpr *e, size_t n_args,
+  double evaluate (double, double))
+{
+  double args[2] = { 0, 0 };
+  for (size_t i = 0; i < n_args; i++)
+    {
+      args[i] = ctables_pcexpr_evaluate (ctx, e->subs[i]);
+      if (!isfinite (args[i]) || args[i] == SYSMIS)
+        return SYSMIS;
+    }
+  return evaluate (args[0], args[1]);
+}
+
+static double
+ctables_pcexpr_evaluate_category (const struct ctables_pcexpr_evaluate_ctx *ctx,
+                                  const struct ctables_cell_value *pc_cv)
+{
+  const struct ctables_section *s = ctx->section;
+
+  size_t hash = 0;
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = 0; i < nest->n; i++)
+        if (i != nest->scale_idx)
+          {
+            const struct ctables_cell_value *cv
+              = (a == ctx->pc_a && i == ctx->pc_a_idx ? pc_cv
+                 : &ctx->cell->axes[a].cvs[i]);
+            hash = hash_pointer (cv->category, hash);
+            if (cv->category->type != CCT_TOTAL
+                && cv->category->type != CCT_SUBTOTAL
+                && cv->category->type != CCT_POSTCOMPUTE)
+              hash = value_hash (&cv->value,
+                                 var_get_width (nest->vars[i]), hash);
+          }
+    }
+
+  struct ctables_cell *tc;
+  HMAP_FOR_EACH_WITH_HASH (tc, struct ctables_cell, node, hash, &s->cells)
+    {
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        {
+          const struct ctables_nest *nest = s->nests[a];
+          for (size_t i = 0; i < nest->n; i++)
+            if (i != nest->scale_idx)
+              {
+                const struct ctables_cell_value *p_cv
+                  = (a == ctx->pc_a && i == ctx->pc_a_idx ? pc_cv
+                     : &ctx->cell->axes[a].cvs[i]);
+                const struct ctables_cell_value *t_cv = &tc->axes[a].cvs[i];
+                if (p_cv->category != t_cv->category
+                    || (p_cv->category->type != CCT_TOTAL
+                        && p_cv->category->type != CCT_SUBTOTAL
+                        && p_cv->category->type != CCT_POSTCOMPUTE
+                        && !value_equal (&p_cv->value,
+                                         &t_cv->value,
+                                         var_get_width (nest->vars[i]))))
+                  goto not_equal;
+              }
+        }
+
+      goto found;
+
+    not_equal: ;
+    }
+  return 0;
+
+found: ;
+  const struct ctables_table *t = s->table;
+  const struct ctables_nest *specs_nest = s->nests[t->summary_axis];
+  const struct ctables_summary_spec_set *specs = &specs_nest->specs[tc->sv];
+  return ctables_summary_value (tc->areas, &tc->summaries[ctx->summary_idx],
+                                &specs->specs[ctx->summary_idx]);
+}
+
+static double
+ctables_pcexpr_evaluate (const struct ctables_pcexpr_evaluate_ctx *ctx,
+                         const struct ctables_pcexpr *e)
+{
+  switch (e->op)
+    {
+    case CTPO_CONSTANT:
+      return e->number;
+
+    case CTPO_CAT_NRANGE:
+    case CTPO_CAT_SRANGE:
+    case CTPO_CAT_MISSING:
+    case CTPO_CAT_OTHERNM:
+      {
+        struct ctables_cell_value cv = {
+          .category = ctables_find_category_for_postcompute (ctx->section->table->ctables->dict, ctx->cats, ctx->parse_format, e)
+        };
+        assert (cv.category != NULL);
+
+        struct hmap *occurrences = &ctx->section->occurrences[ctx->pc_a][ctx->pc_a_idx];
+        const struct ctables_occurrence *o;
+
+        double sum = 0.0;
+        const struct variable *var = ctx->section->nests[ctx->pc_a]->vars[ctx->pc_a_idx];
+        HMAP_FOR_EACH (o, struct ctables_occurrence, node, occurrences)
+          if (ctables_categories_match (ctx->cats, &o->value, var) == cv.category)
+            {
+              cv.value = o->value;
+              sum += ctables_pcexpr_evaluate_category (ctx, &cv);
+            }
+        return sum;
+      }
+
+    case CTPO_CAT_NUMBER:
+    case CTPO_CAT_SUBTOTAL:
+    case CTPO_CAT_TOTAL:
+      {
+        struct ctables_cell_value cv = {
+          .category = ctables_find_category_for_postcompute (ctx->section->table->ctables->dict, ctx->cats, ctx->parse_format, e),
+          .value = { .f = e->number },
+        };
+        assert (cv.category != NULL);
+        return ctables_pcexpr_evaluate_category (ctx, &cv);
+      }
+
+    case CTPO_CAT_STRING:
+      {
+        int width = var_get_width (ctx->section->nests[ctx->pc_a]->vars[ctx->pc_a_idx]);
+        char *s = NULL;
+        if (width > e->string.length)
+          {
+            s = xmalloc (width);
+            buf_copy_rpad (s, width, e->string.string, e->string.length, ' ');
+          }
+
+        const struct ctables_category *category
+          = ctables_find_category_for_postcompute (
+            ctx->section->table->ctables->dict,
+            ctx->cats, ctx->parse_format, e);
+        assert (category != NULL);
+
+        struct ctables_cell_value cv = { .category = category };
+        if (category->type == CCT_NUMBER)
+          cv.value.f = category->number;
+        else if (category->type == CCT_STRING)
+          cv.value.s = CHAR_CAST (uint8_t *, s ? s : e->string.string);
+        else
+          NOT_REACHED ();
+
+        double retval = ctables_pcexpr_evaluate_category (ctx, &cv);
+        free (s);
+        return retval;
+      }
+
+    case CTPO_ADD:
+      return ctables_pcexpr_evaluate_nonterminal (ctx, e, 2, ctpo_add);
+
+    case CTPO_SUB:
+      return ctables_pcexpr_evaluate_nonterminal (ctx, e, 2, ctpo_sub);
+
+    case CTPO_MUL:
+      return ctables_pcexpr_evaluate_nonterminal (ctx, e, 2, ctpo_mul);
+
+    case CTPO_DIV:
+      return ctables_pcexpr_evaluate_nonterminal (ctx, e, 2, ctpo_div);
+
+    case CTPO_POW:
+      return ctables_pcexpr_evaluate_nonterminal (ctx, e, 2, ctpo_pow);
+
+    case CTPO_NEG:
+      return ctables_pcexpr_evaluate_nonterminal (ctx, e, 1, ctpo_neg);
+    }
+
+  NOT_REACHED ();
+}
+
+static const struct ctables_category *
+ctables_cell_postcompute (const struct ctables_section *s,
+                          const struct ctables_cell *cell,
+                          enum pivot_axis_type *pc_a_p,
+                          size_t *pc_a_idx_p)
+{
+  assert (cell->postcompute);
+  const struct ctables_category *pc_cat = NULL;
+  for (enum pivot_axis_type pc_a = 0; pc_a < PIVOT_N_AXES; pc_a++)
+    for (size_t pc_a_idx = 0; pc_a_idx < s->nests[pc_a]->n; pc_a_idx++)
+      {
+        const struct ctables_cell_value *cv = &cell->axes[pc_a].cvs[pc_a_idx];
+        if (cv->category->type == CCT_POSTCOMPUTE)
+          {
+            if (pc_cat)
+              {
+                /* Multiple postcomputes cross each other.  The value is
+                   undefined. */
+                return NULL;
+              }
+
+            pc_cat = cv->category;
+            if (pc_a_p)
+              *pc_a_p = pc_a;
+            if (pc_a_idx_p)
+              *pc_a_idx_p = pc_a_idx;
+          }
+      }
+
+  assert (pc_cat != NULL);
+  return pc_cat;
+}
+
+static double
+ctables_cell_calculate_postcompute (const struct ctables_section *s,
+                                    const struct ctables_cell *cell,
+                                    const struct ctables_summary_spec *ss,
+                                    struct fmt_spec *format,
+                                    bool *is_ctables_format,
+                                    size_t summary_idx)
+{
+  enum pivot_axis_type pc_a = 0;
+  size_t pc_a_idx = 0;
+  const struct ctables_category *pc_cat = ctables_cell_postcompute (
+    s, cell, &pc_a, &pc_a_idx);
+  if (!pc_cat)
+    return SYSMIS;
+
+  const struct ctables_postcompute *pc = pc_cat->pc;
+  if (pc->specs)
+    {
+      for (size_t i = 0; i < pc->specs->n; i++)
+        {
+          const struct ctables_summary_spec *ss2 = &pc->specs->specs[i];
+          if (ss->function == ss2->function
+              && ss->weighting == ss2->weighting
+              && ss->calc_area == ss2->calc_area
+              && ss->percentile == ss2->percentile)
+            {
+              *format = ss2->format;
+              *is_ctables_format = ss2->is_ctables_format;
+              break;
+            }
+        }
+    }
+
+  const struct variable *var = s->nests[pc_a]->vars[pc_a_idx];
+  const struct ctables_categories *cats = s->table->categories[
+    var_get_dict_index (var)];
+  struct ctables_pcexpr_evaluate_ctx ctx = {
+    .cell = cell,
+    .section = s,
+    .cats = cats,
+    .pc_a = pc_a,
+    .pc_a_idx = pc_a_idx,
+    .summary_idx = summary_idx,
+    .parse_format = pc_cat->parse_format,
+  };
+  return ctables_pcexpr_evaluate (&ctx, pc->expr);
+}
+\f
+/* Chi-square test (SIGTEST). */
+struct ctables_chisq
+  {
+    double alpha;
+    bool include_mrsets;
+    bool all_visible;
+  };
+
+/* Pairwise comparison test (COMPARETEST). */
+struct ctables_pairwise
+  {
+    enum { PROP, MEAN } type;
+    double alpha[2];
+    bool include_mrsets;
+    bool meansvariance_allcats;
+    bool all_visible;
+    enum { BONFERRONI = 1, BH } adjust;
+    bool merge;
+    bool apa_style;
+    bool show_sig;
+  };
+
+
+
+static bool
+parse_col_width (struct lexer *lexer, const char *name, double *width)
+{
+  lex_match (lexer, T_EQUALS);
+  if (lex_match_id (lexer, "DEFAULT"))
+    *width = SYSMIS;
+  else if (lex_force_num_range_closed (lexer, name, 0, DBL_MAX))
+    {
+      *width = lex_number (lexer);
+      lex_get (lexer);
+    }
+  else
+    return false;
+
+  return true;
+}
+
+static bool
+parse_bool (struct lexer *lexer, bool *b)
+{
+  if (lex_match_id (lexer, "NO"))
+    *b = false;
+  else if (lex_match_id (lexer, "YES"))
+    *b = true;
+  else
+    {
+      lex_error_expecting (lexer, "YES", "NO");
+      return false;
+    }
+  return true;
+}
+
+static void
+ctables_chisq_destroy (struct ctables_chisq *chisq)
+{
+  free (chisq);
+}
+
+static void
+ctables_pairwise_destroy (struct ctables_pairwise *pairwise)
+{
+  free (pairwise);
+}
+
+static void
+ctables_table_destroy (struct ctables_table *t)
+{
+  if (!t)
+    return;
+
+  for (size_t i = 0; i < t->n_sections; i++)
+    ctables_section_uninit (&t->sections[i]);
+  free (t->sections);
+
+  for (size_t i = 0; i < t->n_categories; i++)
+    ctables_categories_unref (t->categories[i]);
+  free (t->categories);
+
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      ctables_axis_destroy (t->axes[a]);
+      ctables_stack_uninit (&t->stacks[a]);
+    }
+  free (t->summary_specs.specs);
+
+  struct ctables_value *ctv, *next_ctv;
+  HMAP_FOR_EACH_SAFE (ctv, next_ctv, struct ctables_value, node,
+                      &t->clabels_values_map)
+    {
+      value_destroy (&ctv->value, var_get_width (t->clabels_example));
+      hmap_delete (&t->clabels_values_map, &ctv->node);
+      free (ctv);
+    }
+  hmap_destroy (&t->clabels_values_map);
+  free (t->clabels_values);
+
+  free (t->sum_vars);
+  free (t->caption);
+  free (t->corner);
+  free (t->title);
+  ctables_chisq_destroy (t->chisq);
+  ctables_pairwise_destroy (t->pairwise);
+  free (t);
+}
+
+static void
+ctables_destroy (struct ctables *ct)
+{
+  if (!ct)
+    return;
+
+  struct ctables_postcompute *pc, *next_pc;
+  HMAP_FOR_EACH_SAFE (pc, next_pc, struct ctables_postcompute, hmap_node,
+                      &ct->postcomputes)
+    {
+      free (pc->name);
+      msg_location_destroy (pc->location);
+      ctables_pcexpr_destroy (pc->expr);
+      free (pc->label);
+      if (pc->specs)
+        {
+          ctables_summary_spec_set_uninit (pc->specs);
+          free (pc->specs);
+        }
+      hmap_delete (&ct->postcomputes, &pc->hmap_node);
+      free (pc);
+    }
+  hmap_destroy (&ct->postcomputes);
+
+  fmt_settings_uninit (&ct->ctables_formats);
+  pivot_table_look_unref (ct->look);
+  free (ct->zero);
+  free (ct->missing);
+  free (ct->vlabels);
+  for (size_t i = 0; i < ct->n_tables; i++)
+    ctables_table_destroy (ct->tables[i]);
+  free (ct->tables);
+  free (ct);
+}
+
+static bool
+all_strings (struct variable **vars, size_t n_vars,
+             const struct ctables_category *cat)
+{
+  for (size_t j = 0; j < n_vars; j++)
+    if (var_is_numeric (vars[j]))
+      {
+        msg_at (SE, cat->location,
+                _("This category specification may be applied only to string "
+                  "variables, but this subcommand tries to apply it to "
+                  "numeric variable %s."),
+                var_get_name (vars[j]));
+        return false;
+      }
+  return true;
+}
+
+static bool
+ctables_table_parse_categories (struct lexer *lexer, struct dictionary *dict,
+                                struct ctables *ct, struct ctables_table *t)
+{
+  if (!lex_force_match_id (lexer, "VARIABLES"))
+    return false;
+  lex_match (lexer, T_EQUALS);
+
+  struct variable **vars;
+  size_t n_vars;
+  if (!parse_variables (lexer, dict, &vars, &n_vars, PV_NO_SCRATCH))
+    return false;
+
+  const struct fmt_spec *common_format = var_get_print_format (vars[0]);
+  for (size_t i = 1; i < n_vars; i++)
+    {
+      const struct fmt_spec *f = var_get_print_format (vars[i]);
+      if (f->type != common_format->type)
+        {
+          common_format = NULL;
+          break;
+        }
+    }
+  bool parse_strings
+    = (common_format
+       && (fmt_get_category (common_format->type)
+           & (FMT_CAT_DATE | FMT_CAT_TIME | FMT_CAT_DATE_COMPONENT)));
+
+  struct ctables_categories *c = xmalloc (sizeof *c);
+  *c = (struct ctables_categories) { .n_refs = n_vars, .show_empty = true };
+  for (size_t i = 0; i < n_vars; i++)
+    {
+      struct ctables_categories **cp
+        = &t->categories[var_get_dict_index (vars[i])];
+      ctables_categories_unref (*cp);
+      *cp = c;
+    }
+
+  size_t allocated_cats = 0;
+  int cats_start_ofs = -1;
+  int cats_end_ofs = -1;
+  if (lex_match (lexer, T_LBRACK))
+    {
+      cats_start_ofs = lex_ofs (lexer);
+      do
+        {
+          if (c->n_cats >= allocated_cats)
+            c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
+
+          int start_ofs = lex_ofs (lexer);
+          struct ctables_category *cat = &c->cats[c->n_cats];
+          if (!ctables_table_parse_explicit_category (lexer, dict, ct, cat))
+            goto error;
+          cat->location = lex_ofs_location (lexer, start_ofs, lex_ofs (lexer) - 1);
+          c->n_cats++;
+
+          lex_match (lexer, T_COMMA);
+        }
+      while (!lex_match (lexer, T_RBRACK));
+      cats_end_ofs = lex_ofs (lexer) - 1;
+    }
+
+  struct ctables_category cat = {
+    .type = CCT_VALUE,
+    .include_missing = false,
+    .sort_ascending = true,
+  };
+  bool show_totals = false;
+  char *total_label = NULL;
+  bool totals_before = false;
+  while (lex_token (lexer) != T_SLASH && lex_token (lexer) != T_ENDCMD)
+    {
+      if (!c->n_cats && lex_match_id (lexer, "ORDER"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (lex_match_id (lexer, "A"))
+            cat.sort_ascending = true;
+          else if (lex_match_id (lexer, "D"))
+            cat.sort_ascending = false;
+          else
+            {
+              lex_error_expecting (lexer, "A", "D");
+              goto error;
+            }
+        }
+      else if (!c->n_cats && lex_match_id (lexer, "KEY"))
+        {
+          int start_ofs = lex_ofs (lexer) - 1;
+          lex_match (lexer, T_EQUALS);
+          if (lex_match_id (lexer, "VALUE"))
+            cat.type = CCT_VALUE;
+          else if (lex_match_id (lexer, "LABEL"))
+            cat.type = CCT_LABEL;
+          else
+            {
+              cat.type = CCT_FUNCTION;
+              if (!parse_ctables_summary_function (lexer, &cat.sort_function,
+                                                   &cat.weighting, &cat.area))
+                goto error;
+
+              if (lex_match (lexer, T_LPAREN))
+                {
+                  cat.sort_var = parse_variable (lexer, dict);
+                  if (!cat.sort_var)
+                    goto error;
+
+                  if (cat.sort_function == CTSF_PTILE)
+                    {
+                      lex_match (lexer, T_COMMA);
+                      if (!lex_force_num_range_closed (lexer, "PTILE", 0, 100))
+                        goto error;
+                      cat.percentile = lex_number (lexer);
+                      lex_get (lexer);
+                    }
+
+                  if (!lex_force_match (lexer, T_RPAREN))
+                    goto error;
+                }
+              else if (ctables_function_availability (cat.sort_function)
+                       == CTFA_SCALE)
+                {
+                  bool UNUSED b = lex_force_match (lexer, T_LPAREN);
+                  goto error;
+                }
+
+              lex_ofs_error (lexer, start_ofs, lex_ofs (lexer) - 1,
+                              _("Data-dependent sorting is not implemented."));
+              goto error;
+            }
+        }
+      else if (!c->n_cats && lex_match_id (lexer, "MISSING"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (lex_match_id (lexer, "INCLUDE"))
+            cat.include_missing = true;
+          else if (lex_match_id (lexer, "EXCLUDE"))
+            cat.include_missing = false;
+          else
+            {
+              lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
+              goto error;
+            }
+        }
+      else if (lex_match_id (lexer, "TOTAL"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (!parse_bool (lexer, &show_totals))
+            goto error;
+        }
+      else if (lex_match_id (lexer, "LABEL"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (!lex_force_string (lexer))
+            goto error;
+          free (total_label);
+          total_label = ss_xstrdup (lex_tokss (lexer));
+          lex_get (lexer);
+        }
+      else if (lex_match_id (lexer, "POSITION"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (lex_match_id (lexer, "BEFORE"))
+            totals_before = true;
+          else if (lex_match_id (lexer, "AFTER"))
+            totals_before = false;
+          else
+            {
+              lex_error_expecting (lexer, "BEFORE", "AFTER");
+              goto error;
+            }
+        }
+      else if (lex_match_id (lexer, "EMPTY"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (lex_match_id (lexer, "INCLUDE"))
+            c->show_empty = true;
+          else if (lex_match_id (lexer, "EXCLUDE"))
+            c->show_empty = false;
+          else
+            {
+              lex_error_expecting (lexer, "INCLUDE", "EXCLUDE");
+              goto error;
+            }
+        }
+      else
+        {
+          if (!c->n_cats)
+            lex_error_expecting (lexer, "ORDER", "KEY", "MISSING",
+                                 "TOTAL", "LABEL", "POSITION", "EMPTY");
+          else
+            lex_error_expecting (lexer, "TOTAL", "LABEL", "POSITION", "EMPTY");
+          goto error;
+        }
+    }
+
+  if (!c->n_cats)
+    {
+      if (c->n_cats >= allocated_cats)
+        c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
+      c->cats[c->n_cats++] = cat;
+    }
+
+  if (show_totals)
+    {
+      if (c->n_cats >= allocated_cats)
+        c->cats = x2nrealloc (c->cats, &allocated_cats, sizeof *c->cats);
+
+      struct ctables_category *totals;
+      if (totals_before)
+        {
+          insert_element (c->cats, c->n_cats, sizeof *c->cats, 0);
+          totals = &c->cats[0];
+        }
+      else
+        totals = &c->cats[c->n_cats];
+      c->n_cats++;
+
+      *totals = (struct ctables_category) {
+        .type = CCT_TOTAL,
+        .total_label = total_label ? total_label : xstrdup (_("Total")),
+      };
+    }
+
+  struct ctables_category *subtotal = NULL;
+  for (size_t i = totals_before ? 0 : c->n_cats;
+       totals_before ? i < c->n_cats : i-- > 0;
+       totals_before ? i++ : 0)
+    {
+      struct ctables_category *cat = &c->cats[i];
+      switch (cat->type)
+        {
+        case CCT_NUMBER:
+        case CCT_STRING:
+        case CCT_NRANGE:
+        case CCT_SRANGE:
+        case CCT_MISSING:
+        case CCT_OTHERNM:
+          cat->subtotal = subtotal;
+          break;
+
+        case CCT_POSTCOMPUTE:
+          break;
+
+        case CCT_SUBTOTAL:
+          subtotal = cat;
+          break;
+
+        case CCT_TOTAL:
+        case CCT_VALUE:
+        case CCT_LABEL:
+        case CCT_FUNCTION:
+        case CCT_EXCLUDED_MISSING:
+          break;
+        }
+    }
+
+  if (cats_start_ofs != -1)
+    {
+      for (size_t i = 0; i < c->n_cats; i++)
+        {
+          struct ctables_category *cat = &c->cats[i];
+          switch (cat->type)
+            {
+            case CCT_POSTCOMPUTE:
+              cat->parse_format = parse_strings ? common_format->type : FMT_F;
+              struct msg_location *cats_location
+                = lex_ofs_location (lexer, cats_start_ofs, cats_end_ofs);
+              bool ok = ctables_recursive_check_postcompute (
+                dict, cat->pc->expr, cat, c, cats_location);
+              msg_location_destroy (cats_location);
+              if (!ok)
+                goto error;
+              break;
+
+            case CCT_NUMBER:
+            case CCT_NRANGE:
+              for (size_t j = 0; j < n_vars; j++)
+                if (var_is_alpha (vars[j]))
+                  {
+                    msg_at (SE, cat->location,
+                            _("This category specification may be applied "
+                              "only to numeric variables, but this "
+                              "subcommand tries to apply it to string "
+                              "variable %s."),
+                            var_get_name (vars[j]));
+                    goto error;
+                  }
+              break;
+
+            case CCT_STRING:
+              if (parse_strings)
+                {
+                  double n;
+                  if (!parse_category_string (cat->location, cat->string, dict,
+                                              common_format->type, &n))
+                    goto error;
+
+                  ss_dealloc (&cat->string);
+
+                  cat->type = CCT_NUMBER;
+                  cat->number = n;
+                }
+              else if (!all_strings (vars, n_vars, cat))
+                goto error;
+              break;
+
+            case CCT_SRANGE:
+              if (parse_strings)
+                {
+                  double n[2];
+
+                  if (!cat->srange[0].string)
+                    n[0] = -DBL_MAX;
+                  else if (!parse_category_string (cat->location,
+                                                   cat->srange[0], dict,
+                                                   common_format->type, &n[0]))
+                    goto error;
+
+                  if (!cat->srange[1].string)
+                    n[1] = DBL_MAX;
+                  else if (!parse_category_string (cat->location,
+                                                   cat->srange[1], dict,
+                                                   common_format->type, &n[1]))
+                    goto error;
+
+                  ss_dealloc (&cat->srange[0]);
+                  ss_dealloc (&cat->srange[1]);
+
+                  cat->type = CCT_NRANGE;
+                  cat->nrange[0] = n[0];
+                  cat->nrange[1] = n[1];
+                }
+              else if (!all_strings (vars, n_vars, cat))
+                goto error;
+              break;
+
+            case CCT_MISSING:
+            case CCT_OTHERNM:
+            case CCT_SUBTOTAL:
+            case CCT_TOTAL:
+            case CCT_VALUE:
+            case CCT_LABEL:
+            case CCT_FUNCTION:
+            case CCT_EXCLUDED_MISSING:
+              break;
+            }
+        }
+    }
+
+  free (vars);
+  return true;
+
+error:
+  free (vars);
+  return false;
+}
+\f
+
+struct merge_item
+  {
+    const struct ctables_summary_spec_set *set;
+    size_t ofs;
+  };
+
+static int
+merge_item_compare_3way (const struct merge_item *a, const struct merge_item *b)
+{
+  const struct ctables_summary_spec *as = &a->set->specs[a->ofs];
+  const struct ctables_summary_spec *bs = &b->set->specs[b->ofs];
+  if (as->function != bs->function)
+    return as->function > bs->function ? 1 : -1;
+  else if (as->weighting != bs->weighting)
+    return as->weighting > bs->weighting ? 1 : -1;
+  else if (as->calc_area != bs->calc_area)
+    return as->calc_area > bs->calc_area ? 1 : -1;
+  else if (as->percentile != bs->percentile)
+    return as->percentile < bs->percentile ? 1 : -1;
+
+  const char *as_label = as->label ? as->label : "";
+  const char *bs_label = bs->label ? bs->label : "";
+  return strcmp (as_label, bs_label);
+}
+
+static void
+ctables_table_add_section (struct ctables_table *t, enum pivot_axis_type a,
+                           size_t ix[PIVOT_N_AXES])
+{
+  if (a < PIVOT_N_AXES)
+    {
+      size_t limit = MAX (t->stacks[a].n, 1);
+      for (ix[a] = 0; ix[a] < limit; ix[a]++)
+        ctables_table_add_section (t, a + 1, ix);
+    }
+  else
+    {
+      struct ctables_section *s = &t->sections[t->n_sections++];
+      *s = (struct ctables_section) {
+        .table = t,
+        .cells = HMAP_INITIALIZER (s->cells),
+      };
+      for (a = 0; a < PIVOT_N_AXES; a++)
+        if (t->stacks[a].n)
+          {
+            struct ctables_nest *nest = &t->stacks[a].nests[ix[a]];
+            s->nests[a] = nest;
+            s->occurrences[a] = xnmalloc (nest->n, sizeof *s->occurrences[a]);
+            for (size_t i = 0; i < nest->n; i++)
+              hmap_init (&s->occurrences[a][i]);
+        }
+      for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+        hmap_init (&s->areas[at]);
+    }
+}
+
+static char *
+ctables_format (double d, const struct fmt_spec *format,
+                const struct fmt_settings *settings)
+{
+  const union value v = { .f = d };
+  char *s = data_out_stretchy (&v, "UTF-8", format, settings, NULL);
+
+  /* The custom-currency specifications for NEQUAL, PAREN, and PCTPAREN don't
+     produce the results we want for negative numbers, putting the negative
+     sign in the wrong spot, before the prefix instead of after it.  We can't,
+     in fact, produce the desired results using a custom-currency
+     specification.  Instead, we postprocess the output, moving the negative
+     sign into place:
+
+         NEQUAL:   "-N=3"  => "N=-3"
+         PAREN:    "-(3)"  => "(-3)"
+         PCTPAREN: "-(3%)" => "(-3%)"
+
+     This transformation doesn't affect NEGPAREN. */
+  char *minus_src = strchr (s, '-');
+  if (minus_src && (minus_src == s || minus_src[-1] != 'E'))
+    {
+      char *n_equals = strstr (s, "N=");
+      char *lparen = strchr (s, '(');
+      char *minus_dst = n_equals ? n_equals + 1 : lparen;
+      if (minus_dst)
+        move_element (s, minus_dst - s + 1, 1, minus_src - s, minus_dst - s);
+    }
+  return s;
+}
+
+static bool
+all_hidden_vlabels (const struct ctables_table *t, enum pivot_axis_type a)
+{
+  for (size_t i = 0; i < t->stacks[a].n; i++)
+    {
+      struct ctables_nest *nest = &t->stacks[a].nests[i];
+      if (nest->n != 1 || nest->scale_idx != 0)
+        return false;
+
+      enum ctables_vlabel vlabel
+        = t->ctables->vlabels[var_get_dict_index (nest->vars[0])];
+      if (vlabel != CTVL_NONE)
+        return false;
+    }
+  return true;
+}
+
+static void
+ctables_table_output (struct ctables *ct, struct ctables_table *t)
+{
+  struct pivot_table *pt = pivot_table_create__ (
+    (t->title
+     ? pivot_value_new_user_text (t->title, SIZE_MAX)
+     : pivot_value_new_text (N_("Custom Tables"))),
+    "Custom Tables");
+  if (t->caption)
+    pivot_table_set_caption (
+      pt, pivot_value_new_user_text (t->caption, SIZE_MAX));
+  if (t->corner)
+    pivot_table_set_corner_text (
+      pt, pivot_value_new_user_text (t->corner, SIZE_MAX));
+
+  bool summary_dimension = (t->summary_axis != t->slabels_axis
+                            || (!t->slabels_visible
+                                && t->summary_specs.n > 1));
+  if (summary_dimension)
+    {
+      struct pivot_dimension *d = pivot_dimension_create (
+        pt, t->slabels_axis, N_("Statistics"));
+      const struct ctables_summary_spec_set *specs = &t->summary_specs;
+      if (!t->slabels_visible)
+        d->hide_all_labels = true;
+      for (size_t i = 0; i < specs->n; i++)
+        pivot_category_create_leaf (
+          d->root, ctables_summary_label (&specs->specs[i], t->cilevel));
+    }
+
+  bool categories_dimension = t->clabels_example != NULL;
+  if (categories_dimension)
+    {
+      struct pivot_dimension *d = pivot_dimension_create (
+        pt, t->label_axis[t->clabels_from_axis],
+        t->clabels_from_axis == PIVOT_AXIS_ROW
+        ? N_("Row Categories")
+        : N_("Column Categories"));
+      const struct variable *var = t->clabels_example;
+      const struct ctables_categories *c = t->categories[var_get_dict_index (var)];
+      for (size_t i = 0; i < t->n_clabels_values; i++)
+        {
+          const struct ctables_value *value = t->clabels_values[i];
+          const struct ctables_category *cat = ctables_categories_match (c, &value->value, var);
+          assert (cat != NULL);
+          pivot_category_create_leaf (
+            d->root, ctables_category_create_value_label (c, cat,
+                                                          t->clabels_example,
+                                                          &value->value));
+        }
+    }
+
+  pivot_table_set_look (pt, ct->look);
+  struct pivot_dimension *d[PIVOT_N_AXES];
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      static const char *names[] = {
+        [PIVOT_AXIS_ROW] = N_("Rows"),
+        [PIVOT_AXIS_COLUMN] = N_("Columns"),
+        [PIVOT_AXIS_LAYER] = N_("Layers"),
+      };
+      d[a] = (t->axes[a] || a == t->summary_axis
+              ? pivot_dimension_create (pt, a, names[a])
+              : NULL);
+      if (!d[a])
+        continue;
+
+      assert (t->axes[a]);
+
+      for (size_t i = 0; i < t->stacks[a].n; i++)
+        {
+          struct ctables_nest *nest = &t->stacks[a].nests[i];
+          struct ctables_section **sections = xnmalloc (t->n_sections,
+                                                        sizeof *sections);
+          size_t n_sections = 0;
+
+          size_t n_total_cells = 0;
+          size_t max_depth = 0;
+          for (size_t j = 0; j < t->n_sections; j++)
+            if (t->sections[j].nests[a] == nest)
+              {
+                struct ctables_section *s = &t->sections[j];
+                sections[n_sections++] = s;
+                n_total_cells += hmap_count (&s->cells);
+
+                size_t depth = s->nests[a]->n;
+                max_depth = MAX (depth, max_depth);
+              }
+
+          struct ctables_cell **sorted = xnmalloc (n_total_cells,
+                                                   sizeof *sorted);
+          size_t n_sorted = 0;
+
+          for (size_t j = 0; j < n_sections; j++)
+            {
+              struct ctables_section *s = sections[j];
+
+              struct ctables_cell *cell;
+              HMAP_FOR_EACH (cell, struct ctables_cell, node, &s->cells)
+                if (!cell->hide)
+                  sorted[n_sorted++] = cell;
+              assert (n_sorted <= n_total_cells);
+            }
+
+          struct ctables_cell_sort_aux aux = { .nest = nest, .a = a };
+          sort (sorted, n_sorted, sizeof *sorted, ctables_cell_compare_3way, &aux);
+
+          struct ctables_level
+            {
+              enum ctables_level_type
+                {
+                  CTL_VAR,          /* Variable label for nest->vars[var_idx]. */
+                  CTL_CATEGORY,     /* Category for nest->vars[var_idx]. */
+                  CTL_SUMMARY,      /* Summary functions. */
+                }
+                type;
+
+              enum settings_value_show vlabel; /* CTL_VAR only. */
+              size_t var_idx;
+            };
+          struct ctables_level *levels = xnmalloc (1 + 2 * max_depth, sizeof *levels);
+          size_t n_levels = 0;
+          for (size_t k = 0; k < nest->n; k++)
+            {
+              enum ctables_vlabel vlabel = ct->vlabels[var_get_dict_index (nest->vars[k])];
+              if (vlabel == CTVL_NONE && nest->scale_idx == k)
+                vlabel = CTVL_NAME;
+              if (vlabel != CTVL_NONE)
+                {
+                  levels[n_levels++] = (struct ctables_level) {
+                    .type = CTL_VAR,
+                    .vlabel = (enum settings_value_show) vlabel,
+                    .var_idx = k,
+                  };
+                }
+
+              if (nest->scale_idx != k
+                  && (k != nest->n - 1 || t->label_axis[a] == a))
+                {
+                  levels[n_levels++] = (struct ctables_level) {
+                    .type = CTL_CATEGORY,
+                    .var_idx = k,
+                  };
+                }
+            }
+
+          if (!summary_dimension && a == t->slabels_axis)
+            {
+              levels[n_levels++] = (struct ctables_level) {
+                .type = CTL_SUMMARY,
+                .var_idx = SIZE_MAX,
+              };
+            }
+
+          /* Pivot categories:
+
+             - variable label for nest->vars[0], if vlabel != CTVL_NONE
+             - category for nest->vars[0], if nest->scale_idx != 0
+             - variable label for nest->vars[1], if vlabel != CTVL_NONE
+             - category for nest->vars[1], if nest->scale_idx != 1
+             ...
+             - variable label for nest->vars[n - 1], if vlabel != CTVL_NONE
+             - category for nest->vars[n - 1], if t->label_axis[a] == a && nest->scale_idx != n - 1.
+             - summary function, if 'a == t->slabels_axis && a ==
+             t->summary_axis'.
+
+             Additional dimensions:
+
+             - If 'a == t->slabels_axis && a != t->summary_axis', add a summary
+             dimension.
+             - If 't->label_axis[b] == a' for some 'b != a', add a category
+             dimension to 'a'.
+          */
+
+
+          struct pivot_category **groups = xnmalloc (1 + 2 * max_depth, sizeof *groups);
+          int prev_leaf = 0;
+          for (size_t j = 0; j < n_sorted; j++)
+            {
+              struct ctables_cell *cell = sorted[j];
+              struct ctables_cell *prev = j > 0 ? sorted[j - 1] : NULL;
+
+              size_t n_common = 0;
+              if (j > 0)
+                {
+                  for (; n_common < n_levels; n_common++)
+                    {
+                      const struct ctables_level *level = &levels[n_common];
+                      if (level->type == CTL_CATEGORY)
+                        {
+                          size_t var_idx = level->var_idx;
+                          const struct ctables_category *c = cell->axes[a].cvs[var_idx].category;
+                          if (prev->axes[a].cvs[var_idx].category != c)
+                            break;
+                          else if (c->type != CCT_SUBTOTAL
+                                   && c->type != CCT_TOTAL
+                                   && c->type != CCT_POSTCOMPUTE
+                                   && !value_equal (&prev->axes[a].cvs[var_idx].value,
+                                                    &cell->axes[a].cvs[var_idx].value,
+                                                    var_get_type (nest->vars[var_idx])))
+                            break;
+                        }
+                    }
+                }
+
+              for (size_t k = n_common; k < n_levels; k++)
+                {
+                  const struct ctables_level *level = &levels[k];
+                  struct pivot_category *parent = k ? groups[k - 1] : d[a]->root;
+                  if (level->type == CTL_SUMMARY)
+                    {
+                      assert (k == n_levels - 1);
+
+                      const struct ctables_summary_spec_set *specs = &t->summary_specs;
+                      for (size_t m = 0; m < specs->n; m++)
+                        {
+                          int leaf = pivot_category_create_leaf (
+                            parent, ctables_summary_label (&specs->specs[m],
+                                                           t->cilevel));
+                          if (!m)
+                            prev_leaf = leaf;
+                        }
+                    }
+                  else
+                    {
+                      const struct variable *var = nest->vars[level->var_idx];
+                      struct pivot_value *label;
+                      if (level->type == CTL_VAR)
+                        {
+                          label = pivot_value_new_variable (var);
+                          label->variable.show = level->vlabel;
+                        }
+                      else if (level->type == CTL_CATEGORY)
+                        {
+                          const struct ctables_cell_value *cv = &cell->axes[a].cvs[level->var_idx];
+                          label = ctables_category_create_value_label (
+                            t->categories[var_get_dict_index (var)],
+                            cv->category, var, &cv->value);
+                        }
+                      else
+                        NOT_REACHED ();
+
+                      if (k == n_levels - 1)
+                        prev_leaf = pivot_category_create_leaf (parent, label);
+                      else
+                        groups[k] = pivot_category_create_group__ (parent, label);
+                    }
+                }
+
+              cell->axes[a].leaf = prev_leaf;
+            }
+          free (sorted);
+          free (groups);
+          free (levels);
+          free (sections);
+
+        }
+
+      d[a]->hide_all_labels = all_hidden_vlabels (t, a);
+    }
+
+  {
+    size_t n_total_cells = 0;
+    for (size_t j = 0; j < t->n_sections; j++)
+      n_total_cells += hmap_count (&t->sections[j].cells);
+
+    struct ctables_cell **sorted = xnmalloc (n_total_cells, sizeof *sorted);
+    size_t n_sorted = 0;
+    for (size_t j = 0; j < t->n_sections; j++)
+      {
+        const struct ctables_section *s = &t->sections[j];
+        struct ctables_cell *cell;
+        HMAP_FOR_EACH (cell, struct ctables_cell, node, &s->cells)
+          if (!cell->hide)
+            sorted[n_sorted++] = cell;
+      }
+    assert (n_sorted <= n_total_cells);
+    sort (sorted, n_sorted, sizeof *sorted, ctables_cell_compare_leaf_3way,
+          NULL);
+    size_t ids[N_CTATS];
+    memset (ids, 0, sizeof ids);
+    for (size_t j = 0; j < n_sorted; j++)
+      {
+        struct ctables_cell *cell = sorted[j];
+        for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+          {
+            struct ctables_area *area = cell->areas[at];
+            if (!area->sequence)
+              area->sequence = ++ids[at];
+          }
+      }
+
+    free (sorted);
+  }
+
+  for (size_t i = 0; i < t->n_sections; i++)
+    {
+      struct ctables_section *s = &t->sections[i];
+
+      struct ctables_cell *cell;
+      HMAP_FOR_EACH (cell, struct ctables_cell, node, &s->cells)
+        {
+          if (cell->hide)
+            continue;
+
+          const struct ctables_nest *specs_nest = s->nests[t->summary_axis];
+          const struct ctables_summary_spec_set *specs = &specs_nest->specs[cell->sv];
+          for (size_t j = 0; j < specs->n; j++)
+            {
+              size_t dindexes[5];
+              size_t n_dindexes = 0;
+
+              if (summary_dimension)
+                dindexes[n_dindexes++] = specs->specs[j].axis_idx;
+
+              if (categories_dimension)
+                {
+                  const struct ctables_nest *clabels_nest = s->nests[t->clabels_from_axis];
+                  const struct variable *var = clabels_nest->vars[clabels_nest->n - 1];
+                  const union value *value = &cell->axes[t->clabels_from_axis].cvs[clabels_nest->n - 1].value;
+                  const struct ctables_value *ctv = ctables_value_find (t, value, var_get_width (var));
+                  if (!ctv)
+                    continue;
+                  dindexes[n_dindexes++] = ctv->leaf;
+                }
+
+              for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+                if (d[a])
+                  {
+                    int leaf = cell->axes[a].leaf;
+                    if (a == t->summary_axis && !summary_dimension)
+                      leaf += j;
+                    dindexes[n_dindexes++] = leaf;
+                  }
+
+              const struct ctables_summary_spec *ss = &specs->specs[j];
+
+              struct fmt_spec format = specs->specs[j].format;
+              bool is_ctables_format = ss->is_ctables_format;
+              double d = (cell->postcompute
+                          ? ctables_cell_calculate_postcompute (
+                            s, cell, ss, &format, &is_ctables_format, j)
+                          : ctables_summary_value (cell->areas,
+                                                   &cell->summaries[j], ss));
+
+              struct pivot_value *value;
+              if (ct->hide_threshold != 0
+                  && d < ct->hide_threshold
+                  && ss->function == CTSF_COUNT)
+                {
+                  value = pivot_value_new_user_text_nocopy (
+                    xasprintf ("<%d", ct->hide_threshold));
+                }
+              else if (d == 0 && ct->zero)
+                value = pivot_value_new_user_text (ct->zero, SIZE_MAX);
+              else if (d == SYSMIS && ct->missing)
+                value = pivot_value_new_user_text (ct->missing, SIZE_MAX);
+              else if (is_ctables_format)
+                value = pivot_value_new_user_text_nocopy (
+                  ctables_format (d, &format, &ct->ctables_formats));
+              else
+                {
+                  value = pivot_value_new_number (d);
+                  value->numeric.format = format;
+                }
+              /* XXX should text values be right-justified? */
+              pivot_table_put (pt, dindexes, n_dindexes, value);
+            }
+        }
+    }
+
+  pivot_table_submit (pt);
+}
+
+static bool
+ctables_check_label_position (struct ctables_table *t, enum pivot_axis_type a)
+{
+  enum pivot_axis_type label_pos = t->label_axis[a];
+  if (label_pos == a)
+    return true;
+
+  const char *subcommand_name = a == PIVOT_AXIS_ROW ? "ROWLABELS" : "COLLABELS";
+  const char *pos_name = label_pos == PIVOT_AXIS_LAYER ? "LAYER" : "OPPOSITE";
+
+  const struct ctables_stack *stack = &t->stacks[a];
+  if (!stack->n)
+    return true;
+
+  const struct ctables_nest *n0 = &stack->nests[0];
+  if (n0->n == 0)
+    {
+      assert (stack->n == 1);
+      return true;
+    }
+
+  const struct variable *v0 = n0->vars[n0->n - 1];
+  struct ctables_categories *c0 = t->categories[var_get_dict_index (v0)];
+  t->clabels_example = v0;
+
+  for (size_t i = 0; i < c0->n_cats; i++)
+    if (c0->cats[i].type == CCT_FUNCTION)
+      {
+        msg (SE, _("%s=%s is not allowed with sorting based "
+                   "on a summary function."),
+             subcommand_name, pos_name);
+        return false;
+      }
+  if (n0->n - 1 == n0->scale_idx)
+    {
+      msg (SE, _("%s=%s requires the variables to be moved to be categorical, "
+                 "but %s is a scale variable."),
+           subcommand_name, pos_name, var_get_name (v0));
+      return false;
+    }
+
+  for (size_t i = 1; i < stack->n; i++)
+    {
+      const struct ctables_nest *ni = &stack->nests[i];
+      assert (ni->n > 0);
+      const struct variable *vi = ni->vars[ni->n - 1];
+      struct ctables_categories *ci = t->categories[var_get_dict_index (vi)];
+
+      if (ni->n - 1 == ni->scale_idx)
+        {
+          msg (SE, _("%s=%s requires the variables to be moved to be "
+                     "categorical, but %s is a scale variable."),
+               subcommand_name, pos_name, var_get_name (vi));
+          return false;
+        }
+      if (var_get_width (v0) != var_get_width (vi))
+        {
+          msg (SE, _("%s=%s requires the variables to be "
+                     "moved to have the same width, but %s has "
+                     "width %d and %s has width %d."),
+               subcommand_name, pos_name,
+               var_get_name (v0), var_get_width (v0),
+               var_get_name (vi), var_get_width (vi));
+          return false;
+        }
+      if (!val_labs_equal (var_get_value_labels (v0),
+                           var_get_value_labels (vi)))
+        {
+          msg (SE, _("%s=%s requires the variables to be "
+                     "moved to have the same value labels, but %s "
+                     "and %s have different value labels."),
+               subcommand_name, pos_name,
+               var_get_name (v0), var_get_name (vi));
+          return false;
+        }
+      if (!ctables_categories_equal (c0, ci))
+        {
+          msg (SE, _("%s=%s requires the variables to be "
+                     "moved to have the same category "
+                     "specifications, but %s and %s have different "
+                     "category specifications."),
+               subcommand_name, pos_name,
+               var_get_name (v0), var_get_name (vi));
+          return false;
+        }
+    }
+
+  return true;
+}
+
+static size_t
+add_sum_var (struct variable *var,
+             struct variable ***sum_vars, size_t *n, size_t *allocated)
+{
+  for (size_t i = 0; i < *n; i++)
+    if (var == (*sum_vars)[i])
+      return i;
+
+  if (*n >= *allocated)
+    *sum_vars = x2nrealloc (*sum_vars, allocated, sizeof **sum_vars);
+  (*sum_vars)[*n] = var;
+  return (*n)++;
+}
+
+static enum ctables_area_type
+rotate_area (enum ctables_area_type area)
+{
+  return area;
+  switch (area)
+    {
+    case CTAT_TABLE:
+    case CTAT_LAYER:
+    case CTAT_SUBTABLE:
+      return area;
+
+    case CTAT_LAYERROW:
+      return CTAT_LAYERCOL;
+
+    case CTAT_LAYERCOL:
+      return CTAT_LAYERROW;
+
+    case CTAT_ROW:
+      return CTAT_COL;
+
+    case CTAT_COL:
+      return CTAT_ROW;
+    }
+
+  NOT_REACHED ();
+}
+
+static void
+enumerate_sum_vars (const struct ctables_axis *a,
+                    struct variable ***sum_vars, size_t *n, size_t *allocated)
+{
+  if (!a)
+    return;
+
+  switch (a->op)
+    {
+    case CTAO_VAR:
+      for (size_t i = 0; i < N_CSVS; i++)
+        for (size_t j = 0; j < a->specs[i].n; j++)
+          {
+            struct ctables_summary_spec *spec = &a->specs[i].specs[j];
+            if (spec->function == CTSF_areaPCT_SUM)
+              spec->sum_var_idx = add_sum_var (a->var, sum_vars, n, allocated);
+          }
+      break;
+
+    case CTAO_STACK:
+    case CTAO_NEST:
+      for (size_t i = 0; i < 2; i++)
+        enumerate_sum_vars (a->subs[i], sum_vars, n, allocated);
+      break;
+    }
+}
+
+static bool
+ctables_prepare_table (struct ctables_table *t)
+{
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    if (t->axes[a])
+      {
+        t->stacks[a] = enumerate_fts (a, t->axes[a]);
+
+        for (size_t j = 0; j < t->stacks[a].n; j++)
+          {
+            struct ctables_nest *nest = &t->stacks[a].nests[j];
+            for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+              {
+                nest->areas[at] = xmalloc (nest->n * sizeof *nest->areas[at]);
+                nest->n_areas[at] = 0;
+
+                enum pivot_axis_type ata, atb;
+                if (at == CTAT_ROW || at == CTAT_LAYERROW)
+                  {
+                    ata = PIVOT_AXIS_ROW;
+                    atb = PIVOT_AXIS_COLUMN;
+                  }
+                else if (at == CTAT_COL || at == CTAT_LAYERCOL)
+                  {
+                    ata = PIVOT_AXIS_COLUMN;
+                    atb = PIVOT_AXIS_ROW;
+                  }
+
+                if (at == CTAT_LAYER
+                    ? a != PIVOT_AXIS_LAYER && t->label_axis[a] == PIVOT_AXIS_LAYER
+                    : at == CTAT_LAYERCOL || at == CTAT_LAYERROW
+                    ? a == atb && t->label_axis[a] != a
+                    : false)
+                  {
+                    for (size_t k = nest->n - 1; k < nest->n; k--)
+                      if (k != nest->scale_idx)
+                        {
+                          nest->areas[at][nest->n_areas[at]++] = k;
+                          break;
+                        }
+                    continue;
+                  }
+
+                if (at == CTAT_LAYER ? a != PIVOT_AXIS_LAYER
+                    : at == CTAT_LAYERROW || at == CTAT_LAYERCOL ? a == atb
+                    : at == CTAT_TABLE ? true
+                    : false)
+                  continue;
+
+                for (size_t k = 0; k < nest->n; k++)
+                  if (k != nest->scale_idx)
+                    nest->areas[at][nest->n_areas[at]++] = k;
+
+                int n_drop;
+                switch (at)
+                  {
+                  case CTAT_SUBTABLE:
+#define L PIVOT_AXIS_LAYER
+                    n_drop = (t->clabels_from_axis == L ? a != L
+                              : t->clabels_to_axis == L ? (t->clabels_from_axis == a ? -1 : a != L)
+                              : t->clabels_from_axis == a ? 2
+                              : 0);
+#undef L
+                    break;
+
+                  case CTAT_LAYERROW:
+                  case CTAT_LAYERCOL:
+                    n_drop = a == ata && t->label_axis[ata] == atb;
+                    break;
+
+                  case CTAT_ROW:
+                  case CTAT_COL:
+                    n_drop = (a == ata ? t->label_axis[ata] == atb
+                              : a != atb ? 0
+                              : t->clabels_from_axis == atb ? -1
+                              : t->clabels_to_axis != atb ? 1
+                              : 0);
+                    break;
+
+                  case CTAT_LAYER:
+                  case CTAT_TABLE:
+                    n_drop = 0;
+                    break;
+                  }
+
+                if (n_drop < 0)
+                  {
+                    size_t n = nest->n_areas[at];
+                    if (n > 1)
+                      {
+                        nest->areas[at][n - 2] = nest->areas[at][n - 1];
+                        nest->n_areas[at]--;
+                      }
+                  }
+                else
+                  {
+                    for (int i = 0; i < n_drop; i++)
+                      if (nest->n_areas[at] > 0)
+                        nest->n_areas[at]--;
+                  }
+              }
+          }
+      }
+    else
+      {
+        struct ctables_nest *nest = xmalloc (sizeof *nest);
+        *nest = (struct ctables_nest) {
+          .n = 0,
+          .scale_idx = SIZE_MAX,
+          .summary_idx = SIZE_MAX
+        };
+        t->stacks[a] = (struct ctables_stack) { .nests = nest, .n = 1 };
+
+        /* There's no point in moving labels away from an axis that has no
+           labels, so avoid dealing with the special cases around that. */
+        t->label_axis[a] = a;
+      }
+
+  struct ctables_stack *stack = &t->stacks[t->summary_axis];
+  for (size_t i = 0; i < stack->n; i++)
+    {
+      struct ctables_nest *nest = &stack->nests[i];
+      if (!nest->specs[CSV_CELL].n)
+        {
+          struct ctables_summary_spec_set *ss = &nest->specs[CSV_CELL];
+          ss->specs = xmalloc (sizeof *ss->specs);
+          ss->n = 1;
+
+          enum ctables_summary_function function
+            = ss->is_scale ? CTSF_MEAN : CTSF_COUNT;
+
+          if (!ss->var)
+            {
+              nest->summary_idx = nest->n - 1;
+              ss->var = nest->vars[nest->summary_idx];
+            }
+          *ss->specs = (struct ctables_summary_spec) {
+            .function = function,
+            .weighting = ss->is_scale ? CTW_EFFECTIVE : CTW_DICTIONARY,
+            .format = ctables_summary_default_format (function, ss->var),
+          };
+
+          ctables_summary_spec_set_clone (&nest->specs[CSV_TOTAL],
+                                          &nest->specs[CSV_CELL]);
+        }
+      else if (!nest->specs[CSV_TOTAL].n)
+        ctables_summary_spec_set_clone (&nest->specs[CSV_TOTAL],
+                                        &nest->specs[CSV_CELL]);
+
+      if (t->label_axis[PIVOT_AXIS_ROW] == PIVOT_AXIS_COLUMN
+          || t->label_axis[PIVOT_AXIS_COLUMN] == PIVOT_AXIS_ROW)
+        {
+          for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+            for (size_t i = 0; i < nest->specs[sv].n; i++)
+              {
+                struct ctables_summary_spec *ss = &nest->specs[sv].specs[i];
+                const struct ctables_function_info *cfi =
+                  &ctables_function_info[ss->function];
+                if (cfi->is_area)
+                  ss->calc_area = rotate_area (ss->calc_area);
+              }
+        }
+
+      if (t->ctables->smissing_listwise)
+        {
+          struct variable **listwise_vars = NULL;
+          size_t n = 0;
+          size_t allocated = 0;
+
+          for (size_t j = nest->group_head; j < stack->n; j++)
+            {
+              const struct ctables_nest *other_nest = &stack->nests[j];
+              if (other_nest->group_head != nest->group_head)
+                break;
+
+              if (nest != other_nest && other_nest->scale_idx < other_nest->n)
+                {
+                  if (n >= allocated)
+                    listwise_vars = x2nrealloc (listwise_vars, &allocated,
+                                                sizeof *listwise_vars);
+                  listwise_vars[n++] = other_nest->vars[other_nest->scale_idx];
+                }
+            }
+          for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+            {
+              if (sv > 0)
+                listwise_vars = xmemdup (listwise_vars,
+                                         n * sizeof *listwise_vars);
+              nest->specs[sv].listwise_vars = listwise_vars;
+              nest->specs[sv].n_listwise_vars = n;
+            }
+        }
+    }
+
+  struct ctables_summary_spec_set *merged = &t->summary_specs;
+  struct merge_item *items = xnmalloc (N_CSVS * stack->n, sizeof *items);
+  size_t n_left = 0;
+  for (size_t j = 0; j < stack->n; j++)
+    {
+      const struct ctables_nest *nest = &stack->nests[j];
+      if (nest->n)
+        for (enum ctables_summary_variant sv = 0; sv < N_CSVS; sv++)
+          items[n_left++] = (struct merge_item) { .set = &nest->specs[sv] };
+    }
+
+  while (n_left > 0)
+    {
+      struct merge_item min = items[0];
+      for (size_t j = 1; j < n_left; j++)
+        if (merge_item_compare_3way (&items[j], &min) < 0)
+          min = items[j];
+
+      if (merged->n >= merged->allocated)
+        merged->specs = x2nrealloc (merged->specs, &merged->allocated,
+                                    sizeof *merged->specs);
+      merged->specs[merged->n++] = min.set->specs[min.ofs];
+
+      for (size_t j = 0; j < n_left; )
+        {
+          if (merge_item_compare_3way (&items[j], &min) == 0)
+            {
+              struct merge_item *item = &items[j];
+              item->set->specs[item->ofs++].axis_idx = merged->n - 1;
+              if (item->ofs >= item->set->n)
+                {
+                  items[j] = items[--n_left];
+                  continue;
+                }
+            }
+          j++;
+        }
+    }
+  free (items);
+
+  size_t allocated_sum_vars = 0;
+  enumerate_sum_vars (t->axes[t->summary_axis],
+                      &t->sum_vars, &t->n_sum_vars, &allocated_sum_vars);
+
+  return (ctables_check_label_position (t, PIVOT_AXIS_ROW)
+          && ctables_check_label_position (t, PIVOT_AXIS_COLUMN));
+}
+
+static void
+ctables_insert_clabels_values (struct ctables_table *t, const struct ccase *c,
+                               enum pivot_axis_type a)
+{
+  struct ctables_stack *stack = &t->stacks[a];
+  for (size_t i = 0; i < stack->n; i++)
+    {
+      const struct ctables_nest *nest = &stack->nests[i];
+      const struct variable *var = nest->vars[nest->n - 1];
+      const union value *value = case_data (c, var);
+
+      if (var_is_numeric (var) && value->f == SYSMIS)
+        continue;
+
+      if (ctables_categories_match (t->categories [var_get_dict_index (var)],
+                                    value, var))
+        ctables_value_insert (t, value, var_get_width (var));
+    }
+}
+
+static void
+ctables_add_category_occurrences (const struct variable *var,
+                                  struct hmap *occurrences,
+                                  const struct ctables_categories *cats)
+{
+  const struct val_labs *val_labs = var_get_value_labels (var);
+
+  for (size_t i = 0; i < cats->n_cats; i++)
+    {
+      const struct ctables_category *c = &cats->cats[i];
+      switch (c->type)
+        {
+        case CCT_NUMBER:
+          ctables_add_occurrence (var, &(const union value) { .f = c->number },
+                                  occurrences);
+          break;
+
+        case CCT_STRING:
+          {
+            int width = var_get_width (var);
+            union value value;
+            value_init (&value, width);
+            value_copy_buf_rpad (&value, width,
+                                 CHAR_CAST (uint8_t *, c->string.string),
+                                 c->string.length, ' ');
+            ctables_add_occurrence (var, &value, occurrences);
+            value_destroy (&value, width);
+          }
+          break;
+
+        case CCT_NRANGE:
+          assert (var_is_numeric (var));
+          for (const struct val_lab *vl = val_labs_first (val_labs); vl;
+               vl = val_labs_next (val_labs, vl))
+            if (vl->value.f >= c->nrange[0] && vl->value.f <= c->nrange[1])
+              ctables_add_occurrence (var, &vl->value, occurrences);
+          break;
+
+        case CCT_SRANGE:
+          assert (var_is_alpha (var));
+          for (const struct val_lab *vl = val_labs_first (val_labs); vl;
+               vl = val_labs_next (val_labs, vl))
+            if (in_string_range (&vl->value, var, c->srange))
+              ctables_add_occurrence (var, &vl->value, occurrences);
+          break;
+
+        case CCT_MISSING:
+          for (const struct val_lab *vl = val_labs_first (val_labs); vl;
+               vl = val_labs_next (val_labs, vl))
+            if (var_is_value_missing (var, &vl->value))
+              ctables_add_occurrence (var, &vl->value, occurrences);
+          break;
+
+        case CCT_OTHERNM:
+          for (const struct val_lab *vl = val_labs_first (val_labs); vl;
+               vl = val_labs_next (val_labs, vl))
+            ctables_add_occurrence (var, &vl->value, occurrences);
+          break;
+
+        case CCT_POSTCOMPUTE:
+          break;
+
+        case CCT_SUBTOTAL:
+        case CCT_TOTAL:
+          break;
+
+        case CCT_VALUE:
+        case CCT_LABEL:
+        case CCT_FUNCTION:
+          for (const struct val_lab *vl = val_labs_first (val_labs); vl;
+               vl = val_labs_next (val_labs, vl))
+            if (c->include_missing || !var_is_value_missing (var, &vl->value))
+              ctables_add_occurrence (var, &vl->value, occurrences);
+          break;
+
+        case CCT_EXCLUDED_MISSING:
+          break;
+        }
+    }
+}
+
+static void
+ctables_section_recurse_add_empty_categories (
+  struct ctables_section *s,
+  const struct ctables_category **cats[PIVOT_N_AXES], struct ccase *c,
+  enum pivot_axis_type a, size_t a_idx)
+{
+  if (a >= PIVOT_N_AXES)
+    ctables_cell_insert__ (s, c, cats);
+  else if (!s->nests[a] || a_idx >= s->nests[a]->n)
+    ctables_section_recurse_add_empty_categories (s, cats, c, a + 1, 0);
+  else
+    {
+      const struct variable *var = s->nests[a]->vars[a_idx];
+      const struct ctables_categories *categories = s->table->categories[
+        var_get_dict_index (var)];
+      int width = var_get_width (var);
+      const struct hmap *occurrences = &s->occurrences[a][a_idx];
+      const struct ctables_occurrence *o;
+      HMAP_FOR_EACH (o, struct ctables_occurrence, node, occurrences)
+        {
+          union value *value = case_data_rw (c, var);
+          value_destroy (value, width);
+          value_clone (value, &o->value, width);
+          cats[a][a_idx] = ctables_categories_match (categories, value, var);
+          assert (cats[a][a_idx] != NULL);
+          ctables_section_recurse_add_empty_categories (s, cats, c, a, a_idx + 1);
+        }
+
+      for (size_t i = 0; i < categories->n_cats; i++)
+        {
+          const struct ctables_category *cat = &categories->cats[i];
+          if (cat->type == CCT_POSTCOMPUTE)
+            {
+              cats[a][a_idx] = cat;
+              ctables_section_recurse_add_empty_categories (s, cats, c, a, a_idx + 1);
+            }
+        }
+    }
+}
+
+static void
+ctables_section_add_empty_categories (struct ctables_section *s)
+{
+  bool show_empty = false;
+  for (size_t a = 0; a < PIVOT_N_AXES; a++)
+    if (s->nests[a])
+      for (size_t k = 0; k < s->nests[a]->n; k++)
+        if (k != s->nests[a]->scale_idx)
+          {
+            const struct variable *var = s->nests[a]->vars[k];
+            const struct ctables_categories *cats = s->table->categories[
+              var_get_dict_index (var)];
+            if (cats->show_empty)
+              {
+                show_empty = true;
+                ctables_add_category_occurrences (var, &s->occurrences[a][k], cats);
+              }
+          }
+  if (!show_empty)
+    return;
+
+  const struct ctables_category *layer_cats[s->nests[PIVOT_AXIS_LAYER]->n];
+  const struct ctables_category *row_cats[s->nests[PIVOT_AXIS_ROW]->n];
+  const struct ctables_category *column_cats[s->nests[PIVOT_AXIS_COLUMN]->n];
+  const struct ctables_category **cats[PIVOT_N_AXES] =
+    {
+      [PIVOT_AXIS_LAYER] = layer_cats,
+      [PIVOT_AXIS_ROW] = row_cats,
+      [PIVOT_AXIS_COLUMN] = column_cats,
+    };
+  struct ccase *c = case_create (dict_get_proto (s->table->ctables->dict));
+  ctables_section_recurse_add_empty_categories (s, cats, c, 0, 0);
+  case_unref (c);
+}
+
+static void
+ctables_section_clear (struct ctables_section *s)
+{
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      const struct ctables_nest *nest = s->nests[a];
+      for (size_t i = 0; i < nest->n; i++)
+        if (i != nest->scale_idx)
+          {
+            const struct variable *var = nest->vars[i];
+            int width = var_get_width (var);
+            struct ctables_occurrence *o, *next;
+            struct hmap *map = &s->occurrences[a][i];
+            HMAP_FOR_EACH_SAFE (o, next, struct ctables_occurrence, node, map)
+              {
+                value_destroy (&o->value, width);
+                hmap_delete (map, &o->node);
+                free (o);
+              }
+            hmap_shrink (map);
+          }
+    }
+
+  struct ctables_cell *cell, *next_cell;
+  HMAP_FOR_EACH_SAFE (cell, next_cell, struct ctables_cell, node, &s->cells)
+    {
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        {
+          const struct ctables_nest *nest = s->nests[a];
+          for (size_t i = 0; i < nest->n; i++)
+            if (i != nest->scale_idx)
+              value_destroy (&cell->axes[a].cvs[i].value,
+                             var_get_width (nest->vars[i]));
+          free (cell->axes[a].cvs);
+        }
+
+      const struct ctables_nest *ss = s->nests[s->table->summary_axis];
+      const struct ctables_summary_spec_set *specs = &ss->specs[cell->sv];
+      for (size_t i = 0; i < specs->n; i++)
+        ctables_summary_uninit (&cell->summaries[i], &specs->specs[i]);
+      free (cell->summaries);
+
+      hmap_delete (&s->cells, &cell->node);
+      free (cell);
+    }
+  hmap_shrink (&s->cells);
+
+  for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+    {
+      struct ctables_area *area, *next_area;
+      HMAP_FOR_EACH_SAFE (area, next_area, struct ctables_area, node,
+                          &s->areas[at])
+        {
+          free (area->sums);
+          hmap_delete (&s->areas[at], &area->node);
+          free (area);
+        }
+      hmap_shrink (&s->areas[at]);
+    }
+}
+
+static void
+ctables_section_uninit (struct ctables_section *s)
+{
+  ctables_section_clear (s);
+
+  for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+    {
+      struct ctables_nest *nest = s->nests[a];
+      for (size_t i = 0; i < nest->n; i++)
+        hmap_destroy (&s->occurrences[a][i]);
+      free (s->occurrences[a]);
+    }
+
+  hmap_destroy (&s->cells);
+  for (enum ctables_area_type at = 0; at < N_CTATS; at++)
+    hmap_destroy (&s->areas[at]);
+}
+
+static void
+ctables_table_clear (struct ctables_table *t)
+{
+  for (size_t i = 0; i < t->n_sections; i++)
+    ctables_section_clear (&t->sections[i]);
+
+  if (t->clabels_example)
+    {
+      int width = var_get_width (t->clabels_example);
+      struct ctables_value *value, *next_value;
+      HMAP_FOR_EACH_SAFE (value, next_value, struct ctables_value, node,
+                          &t->clabels_values_map)
+        {
+          value_destroy (&value->value, width);
+          hmap_delete (&t->clabels_values_map, &value->node);
+          free (value);
+        }
+      hmap_shrink (&t->clabels_values_map);
+
+      free (t->clabels_values);
+      t->clabels_values = NULL;
+      t->n_clabels_values = 0;
+    }
+}
+
+static bool
+ctables_execute (struct dataset *ds, struct casereader *input,
+                 struct ctables *ct)
+{
+  for (size_t i = 0; i < ct->n_tables; i++)
+    {
+      struct ctables_table *t = ct->tables[i];
+      t->sections = xnmalloc (MAX (1, t->stacks[PIVOT_AXIS_ROW].n) *
+                              MAX (1, t->stacks[PIVOT_AXIS_COLUMN].n) *
+                              MAX (1, t->stacks[PIVOT_AXIS_LAYER].n),
+                              sizeof *t->sections);
+      size_t ix[PIVOT_N_AXES];
+      ctables_table_add_section (t, 0, ix);
+    }
+
+  struct dictionary *dict = dataset_dict (ds);
+
+  bool splitting = dict_get_split_type (dict) == SPLIT_SEPARATE;
+  struct casegrouper *grouper
+    = (splitting
+       ? casegrouper_create_splits (input, dict)
+       : casegrouper_create_vars (input, NULL, 0));
+  struct casereader *group;
+  while (casegrouper_get_next_group (grouper, &group))
+    {
+      if (splitting)
+        {
+          struct ccase *c = casereader_peek (group, 0);
+          if (c != NULL)
+            {
+              output_split_file_values (ds, c);
+              case_unref (c);
+            }
+        }
+
+      bool warn_on_invalid = true;
+      for (struct ccase *c = casereader_read (group); c;
+           case_unref (c), c = casereader_read (group))
+        {
+          double d_weight = dict_get_rounded_case_weight (dict, c, &warn_on_invalid);
+          double e_weight = (ct->e_weight
+                             ? var_force_valid_weight (ct->e_weight,
+                                                       case_num (c, ct->e_weight),
+                                                       &warn_on_invalid)
+                             : d_weight);
+          double weight[] = {
+            [CTW_DICTIONARY] = d_weight,
+            [CTW_EFFECTIVE] = e_weight,
+            [CTW_UNWEIGHTED] = 1.0,
+          };
+
+          for (size_t i = 0; i < ct->n_tables; i++)
+            {
+              struct ctables_table *t = ct->tables[i];
+
+              for (size_t j = 0; j < t->n_sections; j++)
+                ctables_cell_insert (&t->sections[j], c, weight);
+
+              for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+                if (t->label_axis[a] != a)
+                  ctables_insert_clabels_values (t, c, a);
+            }
+        }
+      casereader_destroy (group);
+
+      for (size_t i = 0; i < ct->n_tables; i++)
+        {
+          struct ctables_table *t = ct->tables[i];
+
+          if (t->clabels_example)
+            ctables_sort_clabels_values (t);
+
+          for (size_t j = 0; j < t->n_sections; j++)
+            ctables_section_add_empty_categories (&t->sections[j]);
+
+          ctables_table_output (ct, t);
+          ctables_table_clear (t);
+        }
+    }
+  return casegrouper_destroy (grouper);
+}
+\f
+static struct ctables_postcompute *
+ctables_find_postcompute (struct ctables *ct, const char *name)
+{
+  struct ctables_postcompute *pc;
+  HMAP_FOR_EACH_WITH_HASH (pc, struct ctables_postcompute, hmap_node,
+                           utf8_hash_case_string (name, 0), &ct->postcomputes)
+    if (!utf8_strcasecmp (pc->name, name))
+      return pc;
+  return NULL;
+}
+
+static bool
+ctables_parse_pcompute (struct lexer *lexer, struct dictionary *dict,
+                        struct ctables *ct)
+{
+  int pcompute_start = lex_ofs (lexer) - 1;
+
+  if (!lex_match (lexer, T_AND))
+    {
+      lex_error_expecting (lexer, "&");
+      return false;
+    }
+  if (!lex_force_id (lexer))
+    return false;
+
+  char *name = ss_xstrdup (lex_tokss (lexer));
+
+  lex_get (lexer);
+  if (!lex_force_match (lexer, T_EQUALS)
+      || !lex_force_match_id (lexer, "EXPR")
+      || !lex_force_match (lexer, T_LPAREN))
+    {
+      free (name);
+      return false;
+    }
+
+  int expr_start = lex_ofs (lexer);
+  struct ctables_pcexpr *expr = ctables_pcexpr_parse_add (lexer, dict);
+  int expr_end = lex_ofs (lexer) - 1;
+  if (!expr || !lex_force_match (lexer, T_RPAREN))
+    {
+      ctables_pcexpr_destroy (expr);
+      free (name);
+      return false;
+    }
+  int pcompute_end = lex_ofs (lexer) - 1;
+
+  struct msg_location *location = lex_ofs_location (lexer, pcompute_start,
+                                                    pcompute_end);
+
+  struct ctables_postcompute *pc = ctables_find_postcompute (ct, name);
+  if (pc)
+    {
+      msg_at (SW, location, _("New definition of &%s will override the "
+                              "previous definition."),
+              pc->name);
+      msg_at (SN, pc->location, _("This is the previous definition."));
+
+      ctables_pcexpr_destroy (pc->expr);
+      msg_location_destroy (pc->location);
+      free (name);
+    }
+  else
+    {
+      pc = xmalloc (sizeof *pc);
+      *pc = (struct ctables_postcompute) { .name = name };
+      hmap_insert (&ct->postcomputes, &pc->hmap_node,
+                   utf8_hash_case_string (pc->name, 0));
+    }
+  pc->expr = expr;
+  pc->location = location;
+  if (!pc->label)
+    pc->label = lex_ofs_representation (lexer, expr_start, expr_end);
+  return true;
+}
+
+static bool
+ctables_parse_pproperties_format (struct lexer *lexer,
+                                  struct ctables_summary_spec_set *sss)
+{
+  *sss = (struct ctables_summary_spec_set) { .n = 0 };
+
+  while (lex_token (lexer) != T_ENDCMD && lex_token (lexer) != T_SLASH
+         && !(lex_token (lexer) == T_ID
+              && (lex_id_match (ss_cstr ("LABEL"), lex_tokss (lexer))
+                  || lex_id_match (ss_cstr ("HIDESOURCECATS"),
+                                   lex_tokss (lexer)))))
+    {
+      /* Parse function. */
+      enum ctables_summary_function function;
+      enum ctables_weighting weighting;
+      enum ctables_area_type area;
+      if (!parse_ctables_summary_function (lexer, &function, &weighting, &area))
+        goto error;
+
+      /* Parse percentile. */
+      double percentile = 0;
+      if (function == CTSF_PTILE)
+        {
+          if (!lex_force_num_range_closed (lexer, "PTILE", 0, 100))
+            goto error;
+          percentile = lex_number (lexer);
+          lex_get (lexer);
+        }
+
+      /* Parse format. */
+      struct fmt_spec format;
+      bool is_ctables_format;
+      if (!parse_ctables_format_specifier (lexer, &format, &is_ctables_format))
+        goto error;
+
+      if (sss->n >= sss->allocated)
+        sss->specs = x2nrealloc (sss->specs, &sss->allocated,
+                                 sizeof *sss->specs);
+      sss->specs[sss->n++] = (struct ctables_summary_spec) {
+        .function = function,
+        .weighting = weighting,
+        .calc_area = area,
+        .user_area = area,
+        .percentile = percentile,
+        .format = format,
+        .is_ctables_format = is_ctables_format,
+      };
+    }
+  return true;
+
+error:
+  ctables_summary_spec_set_uninit (sss);
+  return false;
+}
+
+static bool
+ctables_parse_pproperties (struct lexer *lexer, struct ctables *ct)
+{
+  struct ctables_postcompute **pcs = NULL;
+  size_t n_pcs = 0;
+  size_t allocated_pcs = 0;
+
+  while (lex_match (lexer, T_AND))
+    {
+      if (!lex_force_id (lexer))
+        goto error;
+      struct ctables_postcompute *pc
+        = ctables_find_postcompute (ct, lex_tokcstr (lexer));
+      if (!pc)
+        {
+          msg (SE, _("Unknown computed category &%s."), lex_tokcstr (lexer));
+          goto error;
+        }
+      lex_get (lexer);
+
+      if (n_pcs >= allocated_pcs)
+        pcs = x2nrealloc (pcs, &allocated_pcs, sizeof *pcs);
+      pcs[n_pcs++] = pc;
+    }
+
+  while (lex_token (lexer) != T_SLASH && lex_token (lexer) != T_ENDCMD)
+    {
+      if (lex_match_id (lexer, "LABEL"))
+        {
+          lex_match (lexer, T_EQUALS);
+          if (!lex_force_string (lexer))
+            goto error;
+
+          for (size_t i = 0; i < n_pcs; i++)
+            {
+              free (pcs[i]->label);
+              pcs[i]->label = ss_xstrdup (lex_tokss (lexer));
+            }
+
+          lex_get (lexer);
+        }
+      else if (lex_match_id (lexer, "FORMAT"))
+        {
+          lex_match (lexer, T_EQUALS);
+
+          struct ctables_summary_spec_set sss;
+          if (!ctables_parse_pproperties_format (lexer, &sss))
+            goto error;
+
+          for (size_t i = 0; i < n_pcs; i++)
+            {
+              if (pcs[i]->specs)
+                ctables_summary_spec_set_uninit (pcs[i]->specs);
+              else
+                pcs[i]->specs = xmalloc (sizeof *pcs[i]->specs);
+              ctables_summary_spec_set_clone (pcs[i]->specs, &sss);
+            }
+          ctables_summary_spec_set_uninit (&sss);
+        }
+      else if (lex_match_id (lexer, "HIDESOURCECATS"))
+        {
+          lex_match (lexer, T_EQUALS);
+          bool hide_source_cats;
+          if (!parse_bool (lexer, &hide_source_cats))
+            goto error;
+          for (size_t i = 0; i < n_pcs; i++)
+            pcs[i]->hide_source_cats = hide_source_cats;
+        }
+      else
+        {
+          lex_error_expecting (lexer, "LABEL", "FORMAT", "HIDESOURCECATS");
+          goto error;
+        }
+    }
+  free (pcs);
+  return true;
+
+error:
+  free (pcs);
+  return false;
+}
+
+static void
+put_strftime (struct string *out, time_t now, const char *format)
+{
+  const struct tm *tm = localtime (&now);
+  char value[128];
+  strftime (value, sizeof value, format, tm);
+  ds_put_cstr (out, value);
+}
+
+static bool
+skip_prefix (struct substring *s, struct substring prefix)
+{
+  if (ss_starts_with (*s, prefix))
+    {
+      ss_advance (s, prefix.length);
+      return true;
+    }
+  else
+    return false;
+}
+
+static void
+put_table_expression (struct string *out, struct lexer *lexer,
+                      struct dictionary *dict, int expr_start, int expr_end)
+{
+  size_t nest = 0;
+  for (int ofs = expr_start; ofs < expr_end; ofs++)
+    {
+      const struct token *t = lex_ofs_token (lexer, ofs);
+      if (t->type == T_LBRACK)
+        nest++;
+      else if (t->type == T_RBRACK && nest > 0)
+        nest--;
+      else if (nest > 0)
+        {
+          /* Nothing. */
+        }
+      else if (t->type == T_ID)
+        {
+          const struct variable *var
+            = dict_lookup_var (dict, t->string.string);
+          const char *label = var ? var_get_label (var) : NULL;
+          ds_put_cstr (out, label ? label : t->string.string);
+        }
+      else
+        {
+          if (ofs != expr_start && t->type != T_RPAREN && ds_last (out) != ' ')
+            ds_put_byte (out, ' ');
+
+          char *repr = lex_ofs_representation (lexer, ofs, ofs);
+          ds_put_cstr (out, repr);
+          free (repr);
+
+          if (ofs + 1 != expr_end && t->type != T_LPAREN)
+            ds_put_byte (out, ' ');
+        }
+    }
+}
+
+static void
+put_title_text (struct string *out, struct substring in, time_t now,
+                struct lexer *lexer, struct dictionary *dict,
+                int expr_start, int expr_end)
+{
+  for (;;)
+    {
+      size_t chunk = ss_find_byte (in, ')');
+      ds_put_substring (out, ss_head (in, chunk));
+      ss_advance (&in, chunk);
+      if (ss_is_empty (in))
+        return;
+
+      if (skip_prefix (&in, ss_cstr (")DATE")))
+        put_strftime (out, now, "%x");
+      else if (skip_prefix (&in, ss_cstr (")TIME")))
+        put_strftime (out, now, "%X");
+      else if (skip_prefix (&in, ss_cstr (")TABLE")))
+        put_table_expression (out, lexer, dict, expr_start, expr_end);
+      else
+        {
+          ds_put_byte (out, ')');
+          ss_advance (&in, 1);
+        }
+    }
+}
+
+int
+cmd_ctables (struct lexer *lexer, struct dataset *ds)
+{
+  struct casereader *input = NULL;
+
+  struct measure_guesser *mg = measure_guesser_create (ds);
+  if (mg)
+    {
+      input = proc_open (ds);
+      measure_guesser_run (mg, input);
+      measure_guesser_destroy (mg);
+    }
+
+  size_t n_vars = dict_get_n_vars (dataset_dict (ds));
+  enum ctables_vlabel *vlabels = xnmalloc (n_vars, sizeof *vlabels);
+  enum settings_value_show tvars = settings_get_show_variables ();
+  for (size_t i = 0; i < n_vars; i++)
+    vlabels[i] = (enum ctables_vlabel) tvars;
+
+  struct pivot_table_look *look = pivot_table_look_unshare (
+    pivot_table_look_ref (pivot_table_look_get_default ()));
+  look->omit_empty = false;
+
+  struct ctables *ct = xmalloc (sizeof *ct);
+  *ct = (struct ctables) {
+    .dict = dataset_dict (ds),
+    .look = look,
+    .ctables_formats = FMT_SETTINGS_INIT,
+    .vlabels = vlabels,
+    .postcomputes = HMAP_INITIALIZER (ct->postcomputes),
+  };
+
+  time_t now = time (NULL);
+
+  struct ctf
+    {
+      enum fmt_type type;
+      const char *dot_string;
+      const char *comma_string;
+    };
+  static const struct ctf ctfs[4] = {
+    { CTEF_NEGPAREN, "(,,,)",   "(...)" },
+    { CTEF_NEQUAL,   "-,N=,,",  "-.N=.." },
+    { CTEF_PAREN,    "-,(,),",  "-.(.)." },
+    { CTEF_PCTPAREN, "-,(,%),", "-.(.%)." },
+  };
+  bool is_dot = settings_get_fmt_settings ()->decimal == '.';
+  for (size_t i = 0; i < 4; i++)
+    {
+      const char *s = is_dot ? ctfs[i].dot_string : ctfs[i].comma_string;
+      fmt_settings_set_cc (&ct->ctables_formats, ctfs[i].type,
+                           fmt_number_style_from_string (s));
+    }
+
+  if (!lex_force_match (lexer, T_SLASH))
+    goto error;
+
+  while (!lex_match_id (lexer, "TABLE"))
+    {
+      if (lex_match_id (lexer, "FORMAT"))
+        {
+          double widths[2] = { SYSMIS, SYSMIS };
+          double units_per_inch = 72.0;
+
+          while (lex_token (lexer) != T_SLASH)
+            {
+              if (lex_match_id (lexer, "MINCOLWIDTH"))
+                {
+                  if (!parse_col_width (lexer, "MINCOLWIDTH", &widths[0]))
+                    goto error;
+                }
+              else if (lex_match_id (lexer, "MAXCOLWIDTH"))
+                {
+                  if (!parse_col_width (lexer, "MAXCOLWIDTH", &widths[1]))
+                    goto error;
+                }
+              else if (lex_match_id (lexer, "UNITS"))
+                {
+                  lex_match (lexer, T_EQUALS);
+                  if (lex_match_id (lexer, "POINTS"))
+                    units_per_inch = 72.0;
+                  else if (lex_match_id (lexer, "INCHES"))
+                    units_per_inch = 1.0;
+                  else if (lex_match_id (lexer, "CM"))
+                    units_per_inch = 2.54;
+                  else
+                    {
+                      lex_error_expecting (lexer, "POINTS", "INCHES", "CM");
+                      goto error;
+                    }
+                }
+              else if (lex_match_id (lexer, "EMPTY"))
+                {
+                  free (ct->zero);
+                  ct->zero = NULL;
+
+                  lex_match (lexer, T_EQUALS);
+                  if (lex_match_id (lexer, "ZERO"))
+                    {
+                      /* Nothing to do. */
+                    }
+                  else if (lex_match_id (lexer, "BLANK"))
+                    ct->zero = xstrdup ("");
+                  else if (lex_force_string (lexer))
+                    {
+                      ct->zero = ss_xstrdup (lex_tokss (lexer));
+                      lex_get (lexer);
+                    }
+                  else
+                    goto error;
+                }
+              else if (lex_match_id (lexer, "MISSING"))
+                {
+                  lex_match (lexer, T_EQUALS);
+                  if (!lex_force_string (lexer))
+                    goto error;
+
+                  free (ct->missing);
+                  ct->missing = (strcmp (lex_tokcstr (lexer), ".")
+                                 ? ss_xstrdup (lex_tokss (lexer))
+                                 : NULL);
+                  lex_get (lexer);
+                }
+              else
+                {
+                  lex_error_expecting (lexer, "MINCOLWIDTH", "MAXCOLWIDTH",
+                                       "UNITS", "EMPTY", "MISSING");
+                  goto error;
+                }
+            }
+
+          if (widths[0] != SYSMIS && widths[1] != SYSMIS
+              && widths[0] > widths[1])
+            {
+              msg (SE, _("MINCOLWIDTH must not be greater than MAXCOLWIDTH."));
+              goto error;
+            }
+
+          for (size_t i = 0; i < 2; i++)
+            if (widths[i] != SYSMIS)
+              {
+                int *wr = ct->look->width_ranges[TABLE_HORZ];
+                wr[i] = widths[i] / units_per_inch * 96.0;
+                if (wr[0] > wr[1])
+                  wr[!i] = wr[i];
+              }
+        }
+      else if (lex_match_id (lexer, "VLABELS"))
+        {
+          if (!lex_force_match_id (lexer, "VARIABLES"))
+            goto error;
+          lex_match (lexer, T_EQUALS);
+
+          struct variable **vars;
+          size_t n_vars;
+          if (!parse_variables (lexer, dataset_dict (ds), &vars, &n_vars,
+                                PV_NO_SCRATCH))
+            goto error;
+
+          if (!lex_force_match_id (lexer, "DISPLAY"))
+            {
+              free (vars);
+              goto error;
+            }
+          lex_match (lexer, T_EQUALS);
+
+          enum ctables_vlabel vlabel;
+          if (lex_match_id (lexer, "DEFAULT"))
+            vlabel = (enum ctables_vlabel) settings_get_show_variables ();
+          else if (lex_match_id (lexer, "NAME"))
+            vlabel = CTVL_NAME;
+          else if (lex_match_id (lexer, "LABEL"))
+            vlabel = CTVL_LABEL;
+          else if (lex_match_id (lexer, "BOTH"))
+            vlabel = CTVL_BOTH;
+          else if (lex_match_id (lexer, "NONE"))
+            vlabel = CTVL_NONE;
+          else
+            {
+              lex_error_expecting (lexer, "DEFAULT", "NAME", "LABEL",
+                                   "BOTH", "NONE");
+              free (vars);
+              goto error;
+            }
+
+          for (size_t i = 0; i < n_vars; i++)
+            ct->vlabels[var_get_dict_index (vars[i])] = vlabel;
+          free (vars);
+        }
+      else if (lex_match_id (lexer, "MRSETS"))
+        {
+          if (!lex_force_match_id (lexer, "COUNTDUPLICATES"))
+            goto error;
+          lex_match (lexer, T_EQUALS);
+          if (!parse_bool (lexer, &ct->mrsets_count_duplicates))
+            goto error;
+        }
+      else if (lex_match_id (lexer, "SMISSING"))
+        {
+          if (lex_match_id (lexer, "VARIABLE"))
+            ct->smissing_listwise = false;
+          else if (lex_match_id (lexer, "LISTWISE"))
+            ct->smissing_listwise = true;
+          else
+            {
+              lex_error_expecting (lexer, "VARIABLE", "LISTWISE");
+              goto error;
+            }
+        }
+      else if (lex_match_id (lexer, "PCOMPUTE"))
+        {
+          if (!ctables_parse_pcompute (lexer, dataset_dict (ds), ct))
+            goto error;
+        }
+      else if (lex_match_id (lexer, "PPROPERTIES"))
+        {
+          if (!ctables_parse_pproperties (lexer, ct))
+            goto error;
+        }
+      else if (lex_match_id (lexer, "WEIGHT"))
+        {
+          if (!lex_force_match_id (lexer, "VARIABLE"))
+            goto error;
+          lex_match (lexer, T_EQUALS);
+          ct->e_weight = parse_variable (lexer, dataset_dict (ds));
+          if (!ct->e_weight)
+            goto error;
+        }
+      else if (lex_match_id (lexer, "HIDESMALLCOUNTS"))
+        {
+          if (lex_match_id (lexer, "COUNT"))
+            {
+              lex_match (lexer, T_EQUALS);
+              if (!lex_force_int_range (lexer, "HIDESMALLCOUNTS COUNT",
+                                        2, INT_MAX))
+                goto error;
+              ct->hide_threshold = lex_integer (lexer);
+              lex_get (lexer);
+            }
+          else if (ct->hide_threshold == 0)
+            ct->hide_threshold = 5;
+        }
+      else
+        {
+          lex_error_expecting (lexer, "FORMAT", "VLABELS", "MRSETS",
+                               "SMISSING", "PCOMPUTE", "PPROPERTIES",
+                               "WEIGHT", "HIDESMALLCOUNTS", "TABLE");
+          goto error;
+        }
+
+      if (!lex_force_match (lexer, T_SLASH))
+        goto error;
+    }
+
+  size_t allocated_tables = 0;
+  do
+    {
+      if (ct->n_tables >= allocated_tables)
+        ct->tables = x2nrealloc (ct->tables, &allocated_tables,
+                                 sizeof *ct->tables);
+
+      struct ctables_category *cat = xmalloc (sizeof *cat);
+      *cat = (struct ctables_category) {
+        .type = CCT_VALUE,
+        .include_missing = false,
+        .sort_ascending = true,
+      };
+
+      struct ctables_categories *c = xmalloc (sizeof *c);
+      size_t n_vars = dict_get_n_vars (dataset_dict (ds));
+      *c = (struct ctables_categories) {
+        .n_refs = n_vars,
+        .cats = cat,
+        .n_cats = 1,
+        .show_empty = true,
+      };
+
+      struct ctables_categories **categories = xnmalloc (n_vars,
+                                                         sizeof *categories);
+      for (size_t i = 0; i < n_vars; i++)
+        categories[i] = c;
+
+      struct ctables_table *t = xmalloc (sizeof *t);
+      *t = (struct ctables_table) {
+        .ctables = ct,
+        .slabels_axis = PIVOT_AXIS_COLUMN,
+        .slabels_visible = true,
+        .clabels_values_map = HMAP_INITIALIZER (t->clabels_values_map),
+        .label_axis = {
+          [PIVOT_AXIS_ROW] = PIVOT_AXIS_ROW,
+          [PIVOT_AXIS_COLUMN] = PIVOT_AXIS_COLUMN,
+          [PIVOT_AXIS_LAYER] = PIVOT_AXIS_LAYER,
+        },
+        .clabels_from_axis = PIVOT_AXIS_LAYER,
+        .clabels_to_axis = PIVOT_AXIS_LAYER,
+        .categories = categories,
+        .n_categories = n_vars,
+        .cilevel = 95,
+      };
+      ct->tables[ct->n_tables++] = t;
+
+      lex_match (lexer, T_EQUALS);
+      int expr_start = lex_ofs (lexer);
+      if (!ctables_axis_parse (lexer, dataset_dict (ds),
+                               &t->axes[PIVOT_AXIS_ROW]))
+        goto error;
+      if (lex_match (lexer, T_BY))
+        {
+          if (!ctables_axis_parse (lexer, dataset_dict (ds),
+                                   &t->axes[PIVOT_AXIS_COLUMN]))
+            goto error;
+
+          if (lex_match (lexer, T_BY))
+            {
+              if (!ctables_axis_parse (lexer, dataset_dict (ds),
+                                       &t->axes[PIVOT_AXIS_LAYER]))
+                goto error;
+            }
+        }
+      int expr_end = lex_ofs (lexer);
+
+      if (!t->axes[PIVOT_AXIS_ROW] && !t->axes[PIVOT_AXIS_COLUMN]
+          && !t->axes[PIVOT_AXIS_LAYER])
+        {
+          lex_error (lexer, _("At least one variable must be specified."));
+          goto error;
+        }
+
+      const struct ctables_axis *scales[PIVOT_N_AXES];
+      size_t n_scales = 0;
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        {
+          scales[a] = find_scale (t->axes[a]);
+          if (scales[a])
+            n_scales++;
+        }
+      if (n_scales > 1)
+        {
+          msg (SE, _("Scale variables may appear only on one axis."));
+          if (scales[PIVOT_AXIS_ROW])
+            msg_at (SN, scales[PIVOT_AXIS_ROW]->loc,
+                    _("This scale variable appears on the rows axis."));
+          if (scales[PIVOT_AXIS_COLUMN])
+            msg_at (SN, scales[PIVOT_AXIS_COLUMN]->loc,
+                    _("This scale variable appears on the columns axis."));
+          if (scales[PIVOT_AXIS_LAYER])
+            msg_at (SN, scales[PIVOT_AXIS_LAYER]->loc,
+                    _("This scale variable appears on the layer axis."));
+          goto error;
+        }
+
+      const struct ctables_axis *summaries[PIVOT_N_AXES];
+      size_t n_summaries = 0;
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        {
+          summaries[a] = (scales[a]
+                          ? scales[a]
+                          : find_categorical_summary_spec (t->axes[a]));
+          if (summaries[a])
+            n_summaries++;
+        }
+      if (n_summaries > 1)
+        {
+          msg (SE, _("Summaries may appear only on one axis."));
+          for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+            if (summaries[a])
+              {
+                msg_at (SN, summaries[a]->loc,
+                        a == PIVOT_AXIS_ROW
+                        ? _("This variable on the rows axis has a summary.")
+                        : a == PIVOT_AXIS_COLUMN
+                        ? _("This variable on the columns axis has a summary.")
+                        : _("This variable on the layers axis has a summary."));
+                if (scales[a])
+                  msg_at (SN, summaries[a]->loc,
+                          _("This is a scale variable, so it always has a "
+                            "summary even if the syntax does not explicitly "
+                            "specify one."));
+              }
+          goto error;
+        }
+      for (enum pivot_axis_type a = 0; a < PIVOT_N_AXES; a++)
+        if (n_summaries ? summaries[a] : t->axes[a])
+          {
+            t->summary_axis = a;
+            break;
+          }
+
+      if (lex_token (lexer) == T_ENDCMD)
+        {
+          if (!ctables_prepare_table (t))
+            goto error;
+          break;
+        }
+      if (!lex_force_match (lexer, T_SLASH))
+        goto error;
+
+      while (!lex_match_id (lexer, "TABLE") && lex_token (lexer) != T_ENDCMD)
+        {
+          if (lex_match_id (lexer, "SLABELS"))
+            {
+              while (lex_token (lexer) != T_SLASH && lex_token (lexer) != T_ENDCMD)
+                {
+                  if (lex_match_id (lexer, "POSITION"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "COLUMN"))
+                        t->slabels_axis = PIVOT_AXIS_COLUMN;
+                      else if (lex_match_id (lexer, "ROW"))
+                        t->slabels_axis = PIVOT_AXIS_ROW;
+                      else if (lex_match_id (lexer, "LAYER"))
+                        t->slabels_axis = PIVOT_AXIS_LAYER;
+                      else
+                        {
+                          lex_error_expecting (lexer, "COLUMN", "ROW", "LAYER");
+                          goto error;
+                        }
+                    }
+                  else if (lex_match_id (lexer, "VISIBLE"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!parse_bool (lexer, &t->slabels_visible))
+                        goto error;
+                    }
+                  else
+                    {
+                      lex_error_expecting (lexer, "POSITION", "VISIBLE");
+                      goto error;
+                    }
+                }
+            }
+          else if (lex_match_id (lexer, "CLABELS"))
+            {
+              if (lex_match_id (lexer, "AUTO"))
+                {
+                  t->label_axis[PIVOT_AXIS_ROW] = PIVOT_AXIS_ROW;
+                  t->label_axis[PIVOT_AXIS_COLUMN] = PIVOT_AXIS_COLUMN;
+                }
+              else if (lex_match_id (lexer, "ROWLABELS"))
+                {
+                  lex_match (lexer, T_EQUALS);
+                  if (lex_match_id (lexer, "OPPOSITE"))
+                    t->label_axis[PIVOT_AXIS_ROW] = PIVOT_AXIS_COLUMN;
+                  else if (lex_match_id (lexer, "LAYER"))
+                    t->label_axis[PIVOT_AXIS_ROW] = PIVOT_AXIS_LAYER;
+                  else
+                    {
+                      lex_error_expecting (lexer, "OPPOSITE", "LAYER");
+                      goto error;
+                    }
+                }
+              else if (lex_match_id (lexer, "COLLABELS"))
+                {
+                  lex_match (lexer, T_EQUALS);
+                  if (lex_match_id (lexer, "OPPOSITE"))
+                    t->label_axis[PIVOT_AXIS_COLUMN] = PIVOT_AXIS_ROW;
+                  else if (lex_match_id (lexer, "LAYER"))
+                    t->label_axis[PIVOT_AXIS_COLUMN] = PIVOT_AXIS_LAYER;
+                  else
+                    {
+                      lex_error_expecting (lexer, "OPPOSITE", "LAYER");
+                      goto error;
+                    }
+                }
+              else
+                {
+                  lex_error_expecting (lexer, "AUTO", "ROWLABELS",
+                                       "COLLABELS");
+                  goto error;
+                }
+            }
+          else if (lex_match_id (lexer, "CRITERIA"))
+            {
+              if (!lex_force_match_id (lexer, "CILEVEL"))
+                goto error;
+              lex_match (lexer, T_EQUALS);
+
+              if (!lex_force_num_range_halfopen (lexer, "CILEVEL", 0, 100))
+                goto error;
+              t->cilevel = lex_number (lexer);
+              lex_get (lexer);
+            }
+          else if (lex_match_id (lexer, "CATEGORIES"))
+            {
+              if (!ctables_table_parse_categories (lexer, dataset_dict (ds),
+                                                   ct, t))
+                goto error;
+            }
+          else if (lex_match_id (lexer, "TITLES"))
+            {
+              do
+                {
+                  char **textp;
+                  if (lex_match_id (lexer, "CAPTION"))
+                    textp = &t->caption;
+                  else if (lex_match_id (lexer, "CORNER"))
+                    textp = &t->corner;
+                  else if (lex_match_id (lexer, "TITLE"))
+                    textp = &t->title;
+                  else
+                    {
+                      lex_error_expecting (lexer, "CAPTION", "CORNER", "TITLE");
+                      goto error;
+                    }
+                  lex_match (lexer, T_EQUALS);
+
+                  struct string s = DS_EMPTY_INITIALIZER;
+                  while (lex_is_string (lexer))
+                    {
+                      if (!ds_is_empty (&s))
+                        ds_put_byte (&s, ' ');
+                      put_title_text (&s, lex_tokss (lexer), now,
+                                      lexer, dataset_dict (ds),
+                                      expr_start, expr_end);
+                      lex_get (lexer);
+                    }
+                  free (*textp);
+                  *textp = ds_steal_cstr (&s);
+                }
+              while (lex_token (lexer) != T_SLASH
+                     && lex_token (lexer) != T_ENDCMD);
+            }
+          else if (lex_match_id (lexer, "SIGTEST"))
+            {
+              int start_ofs = lex_ofs (lexer) - 1;
+              if (!t->chisq)
+                {
+                  t->chisq = xmalloc (sizeof *t->chisq);
+                  *t->chisq = (struct ctables_chisq) {
+                    .alpha = .05,
+                    .include_mrsets = true,
+                    .all_visible = true,
+                  };
+                }
+
+              do
+                {
+                  if (lex_match_id (lexer, "TYPE"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!lex_force_match_id (lexer, "CHISQUARE"))
+                        goto error;
+                    }
+                  else if (lex_match_id (lexer, "ALPHA"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!lex_force_num_range_halfopen (lexer, "ALPHA", 0, 1))
+                        goto error;
+                      t->chisq->alpha = lex_number (lexer);
+                      lex_get (lexer);
+                    }
+                  else if (lex_match_id (lexer, "INCLUDEMRSETS"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!parse_bool (lexer, &t->chisq->include_mrsets))
+                        goto error;
+                    }
+                  else if (lex_match_id (lexer, "CATEGORIES"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "ALLVISIBLE"))
+                        t->chisq->all_visible = true;
+                      else if (lex_match_id (lexer, "SUBTOTALS"))
+                        t->chisq->all_visible = false;
+                      else
+                        {
+                          lex_error_expecting (lexer,
+                                               "ALLVISIBLE", "SUBTOTALS");
+                          goto error;
+                        }
+                    }
+                  else
+                    {
+                      lex_error_expecting (lexer, "TYPE", "ALPHA",
+                                           "INCLUDEMRSETS", "CATEGORIES");
+                      goto error;
+                    }
+                }
+              while (lex_token (lexer) != T_SLASH
+                     && lex_token (lexer) != T_ENDCMD);
+
+              lex_ofs_error (lexer, start_ofs, lex_ofs (lexer) - 1,
+                             _("Support for SIGTEST not yet implemented."));
+              goto error;
+            }
+          else if (lex_match_id (lexer, "COMPARETEST"))
+            {
+              int start_ofs = lex_ofs (lexer);
+              if (!t->pairwise)
+                {
+                  t->pairwise = xmalloc (sizeof *t->pairwise);
+                  *t->pairwise = (struct ctables_pairwise) {
+                    .type = PROP,
+                    .alpha = { .05, .05 },
+                    .adjust = BONFERRONI,
+                    .include_mrsets = true,
+                    .meansvariance_allcats = true,
+                    .all_visible = true,
+                    .merge = false,
+                    .apa_style = true,
+                    .show_sig = false,
+                  };
+                }
+
+              do
+                {
+                  if (lex_match_id (lexer, "TYPE"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "PROP"))
+                        t->pairwise->type = PROP;
+                      else if (lex_match_id (lexer, "MEAN"))
+                        t->pairwise->type = MEAN;
+                      else
+                        {
+                          lex_error_expecting (lexer, "PROP", "MEAN");
+                          goto error;
+                        }
+                    }
+                  else if (lex_match_id (lexer, "ALPHA"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+
+                      if (!lex_force_num_range_open (lexer, "ALPHA", 0, 1))
+                        goto error;
+                      double a0 = lex_number (lexer);
+                      lex_get (lexer);
+
+                      lex_match (lexer, T_COMMA);
+                      if (lex_is_number (lexer))
+                        {
+                          if (!lex_force_num_range_open (lexer, "ALPHA", 0, 1))
+                            goto error;
+                          double a1 = lex_number (lexer);
+                          lex_get (lexer);
+
+                          t->pairwise->alpha[0] = MIN (a0, a1);
+                          t->pairwise->alpha[1] = MAX (a0, a1);
+                        }
+                      else
+                        t->pairwise->alpha[0] = t->pairwise->alpha[1] = a0;
+                    }
+                  else if (lex_match_id (lexer, "ADJUST"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "BONFERRONI"))
+                        t->pairwise->adjust = BONFERRONI;
+                      else if (lex_match_id (lexer, "BH"))
+                        t->pairwise->adjust = BH;
+                      else if (lex_match_id (lexer, "NONE"))
+                        t->pairwise->adjust = 0;
+                      else
+                        {
+                          lex_error_expecting (lexer, "BONFERRONI", "BH",
+                                               "NONE");
+                          goto error;
+                        }
+                    }
+                  else if (lex_match_id (lexer, "INCLUDEMRSETS"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!parse_bool (lexer, &t->pairwise->include_mrsets))
+                        goto error;
+                    }
+                  else if (lex_match_id (lexer, "MEANSVARIANCE"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "ALLCATS"))
+                        t->pairwise->meansvariance_allcats = true;
+                      else if (lex_match_id (lexer, "TESTEDCATS"))
+                        t->pairwise->meansvariance_allcats = false;
+                      else
+                        {
+                          lex_error_expecting (lexer, "ALLCATS", "TESTEDCATS");
+                          goto error;
+                        }
+                    }
+                  else if (lex_match_id (lexer, "CATEGORIES"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "ALLVISIBLE"))
+                        t->pairwise->all_visible = true;
+                      else if (lex_match_id (lexer, "SUBTOTALS"))
+                        t->pairwise->all_visible = false;
+                      else
+                        {
+                          lex_error_expecting (lexer, "ALLVISIBLE",
+                                               "SUBTOTALS");
+                          goto error;
+                        }
+                    }
+                  else if (lex_match_id (lexer, "MERGE"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!parse_bool (lexer, &t->pairwise->merge))
+                        goto error;
+                    }
+                  else if (lex_match_id (lexer, "STYLE"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (lex_match_id (lexer, "APA"))
+                        t->pairwise->apa_style = true;
+                      else if (lex_match_id (lexer, "SIMPLE"))
+                        t->pairwise->apa_style = false;
+                      else
+                        {
+                          lex_error_expecting (lexer, "APA", "SIMPLE");
+                          goto error;
+                        }
+                    }
+                  else if (lex_match_id (lexer, "SHOWSIG"))
+                    {
+                      lex_match (lexer, T_EQUALS);
+                      if (!parse_bool (lexer, &t->pairwise->show_sig))
+                        goto error;
+                    }
+                  else
+                    {
+                      lex_error_expecting (lexer, "TYPE", "ALPHA", "ADJUST",
+                                           "INCLUDEMRSETS", "MEANSVARIANCE",
+                                           "CATEGORIES", "MERGE", "STYLE",
+                                           "SHOWSIG");
+                      goto error;
+                    }
+                }
+              while (lex_token (lexer) != T_SLASH
+                     && lex_token (lexer) != T_ENDCMD);
+
+              lex_ofs_error (lexer, start_ofs, lex_ofs (lexer) - 1,
+                             _("Support for COMPARETEST not yet implemented."));
+              goto error;
+            }
+          else
+            {
+              lex_error_expecting (lexer, "TABLE", "SLABELS", "CLABELS",
+                                   "CRITERIA", "CATEGORIES", "TITLES",
+                                   "SIGTEST", "COMPARETEST");
+              goto error;
+            }
+
+          if (!lex_match (lexer, T_SLASH))
+            break;
+        }
+
+      if (t->label_axis[PIVOT_AXIS_ROW] != PIVOT_AXIS_ROW)
+        {
+          t->clabels_from_axis = PIVOT_AXIS_ROW;
+          if (t->label_axis[PIVOT_AXIS_COLUMN] != PIVOT_AXIS_COLUMN)
+            {
+              msg (SE, _("ROWLABELS and COLLABELS may not both be specified."));
+              goto error;
+            }
+        }
+      else if (t->label_axis[PIVOT_AXIS_COLUMN] != PIVOT_AXIS_COLUMN)
+        t->clabels_from_axis = PIVOT_AXIS_COLUMN;
+      t->clabels_to_axis = t->label_axis[t->clabels_from_axis];
+
+      if (!ctables_prepare_table (t))
+        goto error;
+    }
+  while (lex_token (lexer) != T_ENDCMD);
+
+  if (!input)
+    input = proc_open (ds);
+  bool ok = ctables_execute (ds, input, ct);
+  ok = proc_commit (ds) && ok;
+
+  ctables_destroy (ct);
+  return ok ? CMD_SUCCESS : CMD_FAILURE;
+
+error:
+  if (input)
+    proc_commit (ds);
+  ctables_destroy (ct);
+  return CMD_FAILURE;
+}
+
diff --git a/src/language/stats/ctables.inc b/src/language/stats/ctables.inc
new file mode 100644 (file)
index 0000000..2716099
--- /dev/null
@@ -0,0 +1,27 @@
+/* -*- c -*- */
+
+/* Summary functions for all variables. */
+S(CTSF_COUNT,          "COUNT",      CTFT_UECELL, CTF_COUNT,   CTFA_ALL)
+S(CTSF_areaPCT_COUNT,  "PCT.COUNT",  CTFT_AREA,   CTF_PERCENT, CTFA_ALL)
+S(CTSF_areaPCT_VALIDN, "PCT.VALIDN", CTFT_AREA,   CTF_PERCENT, CTFA_ALL)
+S(CTSF_areaPCT_TOTALN, "PCT.TOTALN", CTFT_AREA,   CTF_PERCENT, CTFA_ALL)
+
+/* Scale variables, totals, and subtotals. */
+S(CTSF_MAXIMUM,        "MAXIMUM",    CTFT_CELL,   CTF_GENERAL, CTFA_SCALE)
+S(CTSF_MEAN,           "MEAN",       CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_MEDIAN,         "MEDIAN",     CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_MINIMUM,        "MINIMUM",    CTFT_CELL,   CTF_GENERAL, CTFA_SCALE)
+S(CTSF_MISSING,        "MISSING",    CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_MODE,           "MODE",       CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_PTILE,          "PTILE",      CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_RANGE,          "RANGE",      CTFT_CELL,   CTF_GENERAL, CTFA_SCALE)
+S(CTSF_SEMEAN,         "SEMEAN",     CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_STDDEV,         "STDDEV",     CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_SUM,            "SUM",        CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_TOTALN,         "TOTALN",     CTFT_UECELL, CTF_COUNT,   CTFA_SCALE)
+S(CTSF_VALIDN,         "VALIDN",     CTFT_UECELL, CTF_COUNT,   CTFA_SCALE)
+S(CTSF_VARIANCE,       "VARIANCE",   CTFT_UCELL,  CTF_GENERAL, CTFA_SCALE)
+S(CTSF_areaPCT_SUM,    "PCT.SUM",    CTFT_AREA,   CTF_PERCENT, CTFA_SCALE)
+
+/* Debugging and troubleshooting. */
+S(CTSF_areaID,         "ID",         CTFT_AREA,   CTF_COUNT,   CTFA_ALL)
index f9bea8fa51cca393a6141ccccd1e043d15d73bd3..095ed03579ab3c280702c1d761f8b678c0e5dbb6 100644 (file)
@@ -398,6 +398,7 @@ TESTSUITE_AT = \
        tests/language/stats/autorecode.at \
        tests/language/stats/correlations.at \
        tests/language/stats/crosstabs.at \
        tests/language/stats/autorecode.at \
        tests/language/stats/correlations.at \
        tests/language/stats/crosstabs.at \
+       tests/language/stats/ctables.at \
        tests/language/stats/descriptives.at \
        tests/language/stats/examine.at \
        tests/language/stats/graph.at \
        tests/language/stats/descriptives.at \
        tests/language/stats/examine.at \
        tests/language/stats/graph.at \
@@ -487,8 +488,16 @@ $(srcdir)/tests/testsuite.at: tests/testsuite.in tests/automake.mk
 
 EXTRA_DIST += tests/testsuite.at
 
 
 EXTRA_DIST += tests/testsuite.at
 
+# Generate a TableLook that prints all layers of pivot tables.
+check_DATA = tests/all-layers.stt
+tests/all-layers.stt: utilities/pspp-output
+       $(AM_V_GEN)$< get-table-look - $@.tmp
+       $(AM_V_at)if grep 'printAllLayers="false"' $@.tmp >/dev/null; then :; else \
+               echo >&2 "$<: expected printAllLayers=\"false\""; exit 1; fi
+       $(AM_v_at)sed 's/printAllLayers="false"/printAllLayers="true"/' < $@.tmp > $@
+
 CHECK_LOCAL += tests_check
 CHECK_LOCAL += tests_check
-tests_check: tests/atconfig tests/atlocal $(TESTSUITE) $(check_PROGRAMS)
+tests_check: tests/atconfig tests/atlocal $(TESTSUITE) $(check_PROGRAMS) $(check_DATA)
        XTERM_LOCALE='' $(SHELL) '$(TESTSUITE)' -C tests AUTOTEST_PATH=$(AUTOTEST_PATH) RUNNER='$(RUNNER)' $(TESTSUITEFLAGS)
 
 CLEAN_LOCAL += tests_clean
        XTERM_LOCALE='' $(SHELL) '$(TESTSUITE)' -C tests AUTOTEST_PATH=$(AUTOTEST_PATH) RUNNER='$(RUNNER)' $(TESTSUITEFLAGS)
 
 CLEAN_LOCAL += tests_clean
diff --git a/tests/language/stats/ctables.at b/tests/language/stats/ctables.at
new file mode 100644 (file)
index 0000000..6f6e182
--- /dev/null
@@ -0,0 +1,5495 @@
+AT_BANNER([CTABLES])
+
+dnl Known bugs:
+dnl TOTAL interaction with PCOMPUTE, e.g. the following
+dnl CTABLES
+dnl     /PCOMPUTE &all_drivers=EXPR([1 THRU 2] + [3 THRU 4])
+dnl     /PPROPERTIES &all_drivers LABEL='All Drivers'
+dnl     /PCOMPUTE &pct_not_drivers=EXPR([5] / ([1 THRU 2] + [3 THRU 4] + [5]) * 100)
+dnl     /PPROPERTIES &pct_not_drivers LABEL='% Not Drivers' FORMAT=COUNT PCT40.1
+dnl     /TABLE=qn1 BY qns3a
+dnl     /CATEGORIES VARIABLES=qns3a TOTAL=YES
+dnl     /CATEGORIES VARIABLES=qn1 [1 THRU 2, SUBTOTAL='Frequent Drivers',
+dnl                                3 THRU 4, SUBTOTAL='Infrequent Drivers',
+dnl                                &all_drivers, 5, &pct_not_drivers,
+dnl                                MISSING, SUBTOTAL='Not Drivers or Missing'].
+dnl yields gaps in the Total column:
+dnl โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+dnl โ”‚                                                                         โ”‚   S3a. GENDER:   โ”‚
+dnl โ”‚                                                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ค
+dnl โ”‚                                                                         โ”‚ Maleโ”‚Femaleโ”‚Totalโ”‚
+dnl โ”‚                                                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+dnl โ”‚                                                                         โ”‚Countโ”‚ Countโ”‚Countโ”‚
+dnl โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+dnl โ”‚ 1. How often do you usually drive a car or other   Every day            โ”‚ 2305โ”‚  2362โ”‚ 4667โ”‚
+dnl โ”‚motor vehicle?                                      Several days a week  โ”‚  440โ”‚   834โ”‚ 1274โ”‚
+dnl โ”‚                                                    Frequent Drivers     โ”‚ 2745โ”‚  3196โ”‚     โ”‚
+dnl โ”‚                                                    Once a week or less  โ”‚  125โ”‚   236โ”‚  361โ”‚
+dnl โ”‚                                                    Only certain times a โ”‚   58โ”‚    72โ”‚  130โ”‚
+dnl โ”‚                                                    year                 โ”‚     โ”‚      โ”‚     โ”‚
+dnl โ”‚                                                    Infrequent Drivers   โ”‚  183โ”‚   308โ”‚     โ”‚
+dnl โ”‚                                                    All Drivers          โ”‚ 2928โ”‚  3504โ”‚     โ”‚
+dnl โ”‚                                                    Never                โ”‚  192โ”‚   348โ”‚  540โ”‚
+dnl โ”‚                                                    % Not Drivers        โ”‚ 6.2%โ”‚  9.0%โ”‚     โ”‚
+dnl โ”‚                                                    Don't know           โ”‚    3โ”‚     5โ”‚    8โ”‚
+dnl โ”‚                                                    Refused              โ”‚    9โ”‚    10โ”‚   19โ”‚
+dnl โ”‚                                                    Not Drivers or       โ”‚  204โ”‚   363โ”‚     โ”‚
+dnl โ”‚                                                    Missing              โ”‚     โ”‚      โ”‚     โ”‚
+dnl โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+dnl Features not yet implemented:
+dnl - Multiple response sets
+dnl - MRSETS subcommand.
+dnl - CATEGORIES: Special case for explicit category specifications and multiple dichotomy sets.
+dnl - SIGTEST
+dnl - COMPARETEST
+dnl - Summary functions:
+dnl   * .LCL and .UCL suffixes.
+dnl   * .SE suffixes.
+dnl - CATEGORIES:
+dnl   * Data-dependent sorting.
+
+AT_SETUP([CTABLES parsing])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /FORMAT MINCOLWIDTH=10 MAXCOLWIDTH=20 UNITS=POINTS EMPTY=ZERO MISSING="x"
+    /FORMAT MINCOLWIDTH=DEFAULT MAXCOLWIDTH=DEFAULT UNITS=INCHES EMPTY=BLANK MISSING="."
+    /FORMAT UNITS=CM EMPTY="(-)"
+    /VLABELS VARIABLES=qn1 DISPLAY=DEFAULT
+    /VLABELS VARIABLES=qn17 DISPLAY=NAME
+    /VLABELS VARIABLES=qns3a DISPLAY=LABEL
+    /VLABELS VARIABLES=qnd1 DISPLAY=BOTH
+    /VLABELS VARIABLES=qn20 DISPLAY=NONE
+    /MRSETS COUNTDUPLICATES=NO
+    /MRSETS COUNTDUPLICATES=YES
+    /SMISSING VARIABLE
+    /SMISSING LISTWISE
+    /WEIGHT VARIABLE=qns3a
+    /HIDESMALLCOUNTS
+    /HIDESMALLCOUNTS COUNT=10
+    /TABLE qnsa1
+    /SLABELS POSITION=COLUMN VISIBLE=YES
+    /SLABELS VISIBLE=NO POSITION=ROW
+    /SLABELS POSITION=LAYER
+    /CLABELS AUTO
+    /CLABELS ROWLABELS=OPPOSITE
+    /CRITERIA CILEVEL=50
+    /CATEGORIES VARIABLES=qn1 qn17
+                ORDER=A KEY=VALUE MISSING=INCLUDE TOTAL=YES LABEL="xyzzy"
+               POSITION=BEFORE EMPTY=INCLUDE.
+CTABLES /TABLE qnsa1 /CLABELS ROWLABELS=LAYER.
+CTABLES /TABLE qnsa1 /CLABELS COLLABELS=OPPOSITE.
+CTABLES /TABLE qnsa1 /CLABELS COLLABELS=LAYER.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+         Custom Tables
+Count
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                   โ”‚ RDDโ”‚CELLโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚Sa1. SAMPLE SOURCE:โ”‚5392โ”‚1607โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+       Custom Tables
+RDD
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                   โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sa1. SAMPLE SOURCE:โ”‚ 5392โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+          Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sa1. SAMPLE SOURCE: RDD โ”‚ 5392โ”‚
+โ”‚                    CELLโ”‚ 1607โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+          Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sa1. SAMPLE SOURCE: RDD โ”‚ 5392โ”‚
+โ”‚                    CELLโ”‚ 1607โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES parsing - negative])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES.
+CTABLES /FORMAT MINCOLWIDTH='foo'.
+CTABLES /TABLE qn1 [**].
+CTABLES /TABLE qn1 [NOTAFUNCTION].
+CTABLES /TABLE (qn1.
+CTABLES /TABLE **.
+CTABLES /TABLE NOTAVAR.
+STRING string(A8).
+CTABLES /TABLE string[S].
+CTABLES /TABLE qn1 [PTILE 101].
+CTABLES /TABLE qn1 [MEAN F0.1].
+CTABLES /TABLE qn1 [MEAN NEGPAREN1.2].
+CTABLES /TABLE qn1 [MEAN NEGPAREN3.4].
+CTABLES /TABLE qn1 [MEAN TOTALS].
+CTABLES /TABLE qn1 [MEAN TOTALS[STDDEV]%].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [SUBTOTAL=x].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [LO **].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [LO THRU x].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [1 THRU **].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 ['x' THRU **].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&**].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&x].
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=PTILE(qn1, 101).
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=MEAN(qn1.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=MEAN.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 MISSING=**.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 TOTAL=**.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 LABEL=**.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 POSITION=**.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 EMPTY=**.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 **.
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [1,2,3] **.
+CTABLES /PCOMPUTE &k=EXPR(SUBTOTAL[0]).
+CTABLES /PCOMPUTE &k=EXPR(SUBTOTAL[1**]).
+CTABLES /PCOMPUTE &k=EXPR([LO **]).
+CTABLES /PCOMPUTE &k=EXPR([LO THRU **]).
+CTABLES /PCOMPUTE &k=EXPR([1 THRU **]).
+CTABLES /PCOMPUTE &k=EXPR([1**]).
+CTABLES /PCOMPUTE &k=EXPR((1x)).
+CTABLES /PCOMPUTE **k.
+CTABLES /PCOMPUTE &1.
+CTABLES /PCOMPUTE &k**.
+CTABLES /PCOMPUTE &k=**.
+CTABLES /PCOMPUTE &k=EXPR**.
+CTABLES /PCOMPUTE &k=EXPR(1x).
+CTABLES /PCOMPUTE &k=EXPR(1) /PCOMPUTE &k=EXPR(2).
+CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k FORMAT=NOTAFUNCTION.
+CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k FORMAT=PTILE **.
+CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k LABEL=**.
+CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k HIDESOURCECATS=**.
+CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k **.
+CTABLES /FORMAT EMPTY=**.
+CTABLES /FORMAT MISSING=**.
+CTABLES /FORMAT **.
+CTABLES /FORMAT MINCOLWIDTH=20 MAXCOLWIDTH=10/.
+CTABLES /VLABELS **.
+CTABLES /VLABELS VARIABLES=NOTAVAR.
+CTABLES /VLABELS VARIABLES=qn1 **.
+CTABLES /VLABELS VARIABLES=qn1 DISPLAY=**.
+CTABLES /MRSETS **.
+CTABLES /MRSETS COUNTDUPLICATES=**.
+CTABLES /SMISSING **.
+CTABLES /WEIGHT **.
+CTABLES /WEIGHT VARIABLE=NOTAVAR.
+CTABLES /HIDESMALLCOUNTS COUNT=1.
+CTABLES /QUUX.
+CTABLES /HIDESMALLCOUNTS COUNT=2.
+CTABLES /TABLE qn1**.
+CTABLES /TABLE qn1 /SLABELS POSITION=**.
+CTABLES /TABLE qn1 /SLABELS VISIBLE=**.
+CTABLES /TABLE qn1 /SLABELS **.
+CTABLES /TABLE qn1 /CLABELS ROWLABELS=**.
+CTABLES /TABLE qn1 /CLABELS COLLABELS=**.
+CTABLES /TABLE qn1 /CLABELS **.
+CTABLES /TABLE qn1 /CRITERIA **.
+CTABLES /TABLE qn1 /CRITERIA CILEVEL=101.
+CTABLES /TABLE qn1 /TITLES **.
+CTABLES /TABLE qn1 /SIGTEST TYPE=**.
+CTABLES /TABLE qn1 /SIGTEST ALPHA=**.
+CTABLES /TABLE qn1 /SIGTEST INCLUDEMRSETS=**.
+CTABLES /TABLE qn1 /SIGTEST CATEGORIES=**.
+CTABLES /TABLE qn1 /SIGTEST **.
+CTABLES /TABLE qn1 /COMPARETEST TYPE=**.
+CTABLES /TABLE qn1 /COMPARETEST ALPHA=**.
+CTABLES /TABLE qn1 /COMPARETEST ALPHA=0,5.
+CTABLES /TABLE qn1 /COMPARETEST ADJUST=**.
+CTABLES /TABLE qn1 /COMPARETEST INCLUDEMRSETS=**.
+CTABLES /TABLE qn1 /COMPARETEST MEANSVARIANCE=**.
+CTABLES /TABLE qn1 /COMPARETEST CATEGORIES=**.
+CTABLES /TABLE qn1 /COMPARETEST MERGE=**.
+CTABLES /TABLE qn1 /COMPARETEST STYLE=**.
+CTABLES /TABLE qn1 /COMPARETEST SHOWSIG=**.
+CTABLES /TABLE qn1 /COMPARETEST **.
+CTABLES /TABLE qn1 / **.
+CTABLES /TABLE qn1 /CLABELS ROWLABELS=OPPOSITE /CLABELS COLLABELS=OPPOSITE.
+CTABLES /TABLE qn20 > qnd1.
+CTABLES /TABLE qn1 [ROWPCT] > qnsa1.
+NUMERIC datetime (DATETIME17.0).
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=datetime ['123'].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [1],
+[[ctables.sps:2.8: error: CTABLES: Syntax error at end of command: expecting `/'.
+
+ctables.sps:3.29-3.33: error: CTABLES: Syntax error at `'foo'': Expected non-
+negative number for MINCOLWIDTH.
+
+ctables.sps:4.21-4.22: error: CTABLES: Syntax error at `**': expecting
+identifier.
+
+ctables.sps:5.21-5.32: error: CTABLES: Syntax error at `NOTAFUNCTION': Expecting
+summary function name.
+
+ctables.sps:6.20: error: CTABLES: Syntax error at end of command: expecting `@:}@'.
+
+ctables.sps:7.16-7.17: error: CTABLES: Syntax error at `**': expecting
+identifier.
+
+ctables.sps:8: error: CTABLES: NOTAVAR is not a variable name.
+
+ctables.sps:10.16-10.24: error: CTABLES: Cannot use string variable string as a
+scale variable.
+   10 | CTABLES /TABLE string[S].
+      |                ^~~~~~~~~
+
+ctables.sps:11.27-11.29: error: CTABLES: Syntax error at `101': Expected number
+between 0 and 100 for PTILE.
+
+ctables.sps:12: error: CTABLES: Output format F0.1 specifies width 0, but F
+requires a width between 1 and 40.
+
+ctables.sps:13.26-13.36: error: CTABLES: Syntax error at `NEGPAREN1.2': Output
+format NEGPAREN requires width 2 or greater.
+
+ctables.sps:14.26-14.36: error: CTABLES: Syntax error at `NEGPAREN3.4': Output
+format NEGPAREN requires width greater than decimals.
+
+ctables.sps:15.21-15.24: error: CTABLES: Summary function MEAN applies only to
+scale variables.
+   15 | CTABLES /TABLE qn1 [MEAN TOTALS].
+      |                     ^~~~
+
+ctables.sps:15.16-15.18: note: CTABLES: 'QN1' is not a scale variable.
+   15 | CTABLES /TABLE qn1 [MEAN TOTALS].
+      |                ^~~
+
+ctables.sps:15.32: error: CTABLES: Syntax error at `@:>@': expecting `@<:@'.
+
+ctables.sps:16.21-16.24: error: CTABLES: Summary function MEAN applies only to
+scale variables.
+   16 | CTABLES /TABLE qn1 [MEAN TOTALS[STDDEV]%].
+      |                     ^~~~
+
+ctables.sps:16.16-16.18: note: CTABLES: 'QN1' is not a scale variable.
+   16 | CTABLES /TABLE qn1 [MEAN TOTALS[STDDEV]%].
+      |                ^~~
+
+ctables.sps:16.40: error: CTABLES: Syntax error at `%': expecting `@:>@'.
+
+ctables.sps:17.56: error: CTABLES: Syntax error at `x': expecting string.
+
+ctables.sps:18.50-18.51: error: CTABLES: Syntax error at `**': expecting THRU.
+
+ctables.sps:19.55: error: CTABLES: Syntax error at `x': expecting number.
+
+ctables.sps:20.54-20.55: error: CTABLES: Syntax error at `**': expecting number.
+
+ctables.sps:21.56-21.57: error: CTABLES: Syntax error at `**': expecting string.
+
+ctables.sps:22.48-22.49: error: CTABLES: Syntax error at `**': expecting
+identifier.
+
+ctables.sps:23.47-23.48: error: CTABLES: Unknown postcompute &x.
+   23 | CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&x].
+      |                                               ^~
+
+ctables.sps:24.61-24.63: error: CTABLES: Syntax error at `101': Expected number
+between 0 and 100 for PTILE.
+
+ctables.sps:25.58: error: CTABLES: Syntax error at end of command: expecting
+`@:}@'.
+
+ctables.sps:26.54: error: CTABLES: Syntax error at end of command: expecting
+`@{:@'.
+
+ctables.sps:27.54-27.55: error: CTABLES: Syntax error at `**': expecting INCLUDE
+or EXCLUDE.
+
+ctables.sps:28.52-28.53: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:29.52-29.53: error: CTABLES: Syntax error at `**': expecting string.
+
+ctables.sps:30.55-30.56: error: CTABLES: Syntax error at `**': expecting BEFORE
+or AFTER.
+
+ctables.sps:31.52-31.53: error: CTABLES: Syntax error at `**': expecting INCLUDE
+or EXCLUDE.
+
+ctables.sps:32.46-32.47: error: CTABLES: Syntax error at `**': expecting ORDER,
+KEY, MISSING, TOTAL, LABEL, POSITION, or EMPTY.
+
+ctables.sps:33.54-33.55: error: CTABLES: Syntax error at `**': expecting TOTAL,
+LABEL, POSITION, or EMPTY.
+
+ctables.sps:34.36: error: CTABLES: Syntax error at `0': Expected positive
+integer for SUBTOTAL.
+
+ctables.sps:35.37-35.38: error: CTABLES: Syntax error at `**': expecting `@:>@'.
+
+ctables.sps:36.31-36.32: error: CTABLES: Syntax error at `**': expecting THRU.
+
+ctables.sps:37.36-37.37: error: CTABLES: Syntax error at `**': expecting number.
+
+ctables.sps:38.35-38.36: error: CTABLES: Syntax error at `**': expecting number.
+
+ctables.sps:39.29-39.30: error: CTABLES: Syntax error at `**': expecting `@:>@'.
+
+ctables.sps:40.29: error: CTABLES: Syntax error at `x': expecting `@:}@'.
+
+ctables.sps:41.19-41.20: error: CTABLES: Syntax error at `**': expecting &.
+
+ctables.sps:42.20: error: CTABLES: Syntax error at `1': expecting identifier.
+
+ctables.sps:43.21-43.22: error: CTABLES: Syntax error at `**': expecting `='.
+
+ctables.sps:44.22-44.23: error: CTABLES: Syntax error at `**': expecting EXPR.
+
+ctables.sps:45.26-45.27: error: CTABLES: Syntax error at `**': expecting `('.
+
+ctables.sps:46.28: error: CTABLES: Syntax error at `x': expecting `)'.
+
+ctables.sps:47.31-47.49: warning: CTABLES: New definition of &k will override
+the previous definition.
+   47 | CTABLES /PCOMPUTE &k=EXPR(1) /PCOMPUTE &k=EXPR(2).
+      |                               ^~~~~~~~~~~~~~~~~~~
+
+ctables.sps:47.10-47.28: note: CTABLES: This is the previous definition.
+   47 | CTABLES /PCOMPUTE &k=EXPR(1) /PCOMPUTE &k=EXPR(2).
+      |          ^~~~~~~~~~~~~~~~~~~
+
+ctables.sps:47.50: error: CTABLES: Syntax error at end of command: expecting
+`/'.
+
+ctables.sps:48.53-48.64: error: CTABLES: Syntax error at `NOTAFUNCTION':
+Expecting summary function name.
+
+ctables.sps:49.59-49.60: error: CTABLES: Syntax error at `**': Expected number
+between 0 and 100 for PTILE.
+
+ctables.sps:50.52-50.53: error: CTABLES: Syntax error at `**': expecting string.
+
+ctables.sps:51.61-51.62: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:52.46-52.47: error: CTABLES: Syntax error at `**': expecting LABEL,
+FORMAT, or HIDESOURCECATS.
+
+ctables.sps:53.23-53.24: error: CTABLES: Syntax error at `**': expecting string.
+
+ctables.sps:54.25-54.26: error: CTABLES: Syntax error at `**': expecting string.
+
+ctables.sps:55.17-55.18: error: CTABLES: Syntax error at `**': expecting
+MINCOLWIDTH, MAXCOLWIDTH, UNITS, EMPTY, or MISSING.
+
+ctables.sps:56: error: CTABLES: MINCOLWIDTH must not be greater than
+MAXCOLWIDTH.
+
+ctables.sps:57.18-57.19: error: CTABLES: Syntax error at `**': expecting
+VARIABLES.
+
+ctables.sps:58: error: CTABLES: NOTAVAR is not a variable name.
+
+ctables.sps:59.32-59.33: error: CTABLES: Syntax error at `**': expecting
+DISPLAY.
+
+ctables.sps:60.40-60.41: error: CTABLES: Syntax error at `**': expecting
+DEFAULT, NAME, LABEL, BOTH, or NONE.
+
+ctables.sps:61.17-61.18: error: CTABLES: Syntax error at `**': expecting
+COUNTDUPLICATES.
+
+ctables.sps:62.33-62.34: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:63.19-63.20: error: CTABLES: Syntax error at `**': expecting
+VARIABLE or LISTWISE.
+
+ctables.sps:64.17-64.18: error: CTABLES: Syntax error at `**': expecting
+VARIABLE.
+
+ctables.sps:65: error: CTABLES: NOTAVAR is not a variable name.
+
+ctables.sps:66.32: error: CTABLES: Syntax error at `1': Expected integer 2 or
+greater for HIDESMALLCOUNTS COUNT.
+
+ctables.sps:67.10-67.13: error: CTABLES: Syntax error at `QUUX': expecting one
+of the following: FORMAT, VLABELS, MRSETS, SMISSING, PCOMPUTE, PPROPERTIES,
+WEIGHT, HIDESMALLCOUNTS, TABLE.
+
+ctables.sps:68.33: error: CTABLES: Syntax error at end of command: expecting
+`/'.
+
+ctables.sps:69.19-69.20: error: CTABLES: Syntax error at `**': expecting `/'.
+
+ctables.sps:70.38-70.39: error: CTABLES: Syntax error at `**': expecting COLUMN,
+ROW, or LAYER.
+
+ctables.sps:71.37-71.38: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:72.29-72.30: error: CTABLES: Syntax error at `**': expecting
+POSITION or VISIBLE.
+
+ctables.sps:73.39-73.40: error: CTABLES: Syntax error at `**': expecting
+OPPOSITE or LAYER.
+
+ctables.sps:74.39-74.40: error: CTABLES: Syntax error at `**': expecting
+OPPOSITE or LAYER.
+
+ctables.sps:75.29-75.30: error: CTABLES: Syntax error at `**': expecting AUTO,
+ROWLABELS, or COLLABELS.
+
+ctables.sps:76.30-76.31: error: CTABLES: Syntax error at `**': expecting
+CILEVEL.
+
+ctables.sps:77.38-77.40: error: CTABLES: Syntax error at `101': Expected number
+in @<:@0,100@:}@ for CILEVEL.
+
+ctables.sps:78.28-78.29: error: CTABLES: Syntax error at `**': expecting
+CAPTION, CORNER, or TITLE.
+
+ctables.sps:79.34-79.35: error: CTABLES: Syntax error at `**': expecting
+CHISQUARE.
+
+ctables.sps:80.35-80.36: error: CTABLES: Syntax error at `**': Expected number
+in @<:@0,1@:}@ for ALPHA.
+
+ctables.sps:81.43-81.44: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:82.40-82.41: error: CTABLES: Syntax error at `**': expecting
+ALLVISIBLE or SUBTOTALS.
+
+ctables.sps:83.29-83.30: error: CTABLES: Syntax error at `**': expecting TYPE,
+ALPHA, INCLUDEMRSETS, or CATEGORIES.
+
+ctables.sps:84.38-84.39: error: CTABLES: Syntax error at `**': expecting PROP or
+MEAN.
+
+ctables.sps:85.39-85.40: error: CTABLES: Syntax error at `**': Expected number
+in (0,1) for ALPHA.
+
+ctables.sps:86.39: error: CTABLES: Syntax error at `0': Expected number in (0,1)
+for ALPHA.
+
+ctables.sps:87.40-87.41: error: CTABLES: Syntax error at `**': expecting
+BONFERRONI, BH, or NONE.
+
+ctables.sps:88.47-88.48: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:89.47-89.48: error: CTABLES: Syntax error at `**': expecting ALLCATS
+or TESTEDCATS.
+
+ctables.sps:90.44-90.45: error: CTABLES: Syntax error at `**': expecting
+ALLVISIBLE or SUBTOTALS.
+
+ctables.sps:91.39-91.40: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:92.39-92.40: error: CTABLES: Syntax error at `**': expecting APA or
+SIMPLE.
+
+ctables.sps:93.41-93.42: error: CTABLES: Syntax error at `**': expecting YES or
+NO.
+
+ctables.sps:94.33-94.34: error: CTABLES: Syntax error at `**': expecting one of
+the following: TYPE, ALPHA, ADJUST, INCLUDEMRSETS, MEANSVARIANCE, CATEGORIES,
+MERGE, STYLE, SHOWSIG.
+
+ctables.sps:95.22-95.23: error: CTABLES: Syntax error at `**': expecting TABLE,
+SLABELS, CLABELS, CRITERIA, CATEGORIES, TITLES, SIGTEST, or COMPARETEST.
+
+ctables.sps:96: error: CTABLES: ROWLABELS and COLLABELS may not both be
+specified.
+
+ctables.sps:97.16-97.26: error: CTABLES: Cannot nest scale variables.
+   97 | CTABLES /TABLE qn20 > qnd1.
+      |                ^~~~~~~~~~~
+
+ctables.sps:97.16-97.19: note: CTABLES: This is an outer scale variable.
+   97 | CTABLES /TABLE qn20 > qnd1.
+      |                ^~~~
+
+ctables.sps:97.23-97.26: note: CTABLES: This is an inner scale variable.
+   97 | CTABLES /TABLE qn20 > qnd1.
+      |                       ^~~~
+
+ctables.sps:98.16-98.35: error: CTABLES: Summaries may only be requested for
+categorical variables at the innermost nesting level.
+   98 | CTABLES /TABLE qn1 [ROWPCT] > qnsa1.
+      |                ^~~~~~~~~~~~~~~~~~~~
+
+ctables.sps:98.16-98.18: note: CTABLES: This outer categorical variable has a
+summary.
+   98 | CTABLES /TABLE qn1 [ROWPCT] > qnsa1.
+      |                ^~~
+
+ctables.sps:100.52-100.56: error: CTABLES: Failed to parse category
+specification as format DATETIME: Day (123) must be between 1 and 31..
+  100 | CTABLES /TABLE qn1 /CATEGORIES VARIABLES=datetime ['123'].
+      |                                                    ^~~~~
+]])
+AT_CLEANUP
+
+AT_SETUP([CTABLES parsing - more negative])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&pc].
+CTABLES /PCOMPUTE &pc=EXPR(TOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&pc].
+CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&pc, SUBTOTAL, SUBTOTAL].
+
+STRING string(A8).
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 ['string'].
+CTABLES /TABLE string /CATEGORIES VARIABLES=string [1].
+
+CTABLES /TABLE qn1 /CLABELS ROWLABELS=OPPOSITE /CATEGORIES VARIABLES=qn1 KEY=MEAN(qn1).
+
+CTABLES /TABLE qnd1 /CLABELS ROWLABELS=OPPOSITE.
+CTABLES /TABLE qn1 + string /CLABELS ROWLABELS=OPPOSITE.
+CTABLES /TABLE qn1 + qnsa1 /CLABELS ROWLABELS=OPPOSITE.
+CTABLES /TABLE qn105ba + qn105bb /CLABELS ROWLABELS=OPPOSITE /CATEGORIES VARIABLES=qn105ba [1,2,3].
+
+CTABLES /PCOMPUTE &x=EXPR(1**2**3).
+CTABLES /PCOMPUTE &x=EXPR([**]).
+CTABLES /PCOMPUTE &x=EXPR(**).
+
+CTABLES /TABLE.
+
+CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT]. 
+
+CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=PTILE(qn1, 50).
+
+CTABLES /TABLE $mrset.
+
+CTABLES /TABLE qn113 /SIGTEST TYPE=CHISQUARE.
+CTABLES /TABLE qn113 /COMPARETEST TYPE=PROP.
+
+CTABLES /TABLE qn113 [COUNT.UCL].
+
+CTABLES /TABLE qn1 /CATEGORIES **.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [1],
+[[ctables.sps:2.76-2.78: error: CTABLES: Computed category &pc references a
+category not included in the category list.
+    2 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
+VARIABLES=qn1 [&pc].
+      |
+^~~
+
+ctables.sps:2.28-2.35: note: CTABLES: This is the missing category.
+    2 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
+VARIABLES=qn1 [&pc].
+      |                            ^~~~~~~~
+
+ctables.sps:2.76-2.79: note: CTABLES: To fix the problem, add subtotals to the
+list of categories here.
+    2 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
+VARIABLES=qn1 [&pc].
+      |
+^~~~
+
+ctables.sps:3.73-3.75: error: CTABLES: Computed category &pc references a
+category not included in the category list.
+    3 | CTABLES /PCOMPUTE &pc=EXPR(TOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1
+[&pc].
+      |
+^~~
+
+ctables.sps:3.28-3.32: note: CTABLES: This is the missing category.
+    3 | CTABLES /PCOMPUTE &pc=EXPR(TOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1
+[&pc].
+      |                            ^~~~~
+
+ctables.sps:3: note: CTABLES: To fix the problem, add TOTAL=YES to the
+variable's CATEGORIES specification.
+
+ctables.sps:4.76-4.99: error: CTABLES: These categories include 2 instances of
+SUBTOTAL or HSUBTOTAL, so references from computed categories must refer to
+subtotals by position, e.g. SUBTOTAL[1].
+    4 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
+VARIABLES=qn1 [&pc, SUBTOTAL, SUBTOTAL].
+      |
+^~~~~~~~~~~~~~~~~~~~~~~~
+
+ctables.sps:4.28-4.35: note: CTABLES: This is the reference that lacks a
+position.
+    4 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
+VARIABLES=qn1 [&pc, SUBTOTAL, SUBTOTAL].
+      |                            ^~~~~~~~
+
+ctables.sps:7.47-7.54: error: CTABLES: This category specification may be
+applied only to string variables, but this subcommand tries to apply it to
+numeric variable QN1.
+    7 | CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 ['string'].
+      |                                               ^~~~~~~~
+
+ctables.sps:8.53: error: CTABLES: This category specification may be applied
+only to numeric variables, but this subcommand tries to apply it to string
+variable string.
+    8 | CTABLES /TABLE string /CATEGORIES VARIABLES=string [1].
+      |                                                     ^
+
+ctables.sps:10.74-10.86: error: CTABLES: Syntax error at `KEY=MEAN(qn1)': Data-
+dependent sorting is not implemented.
+
+ctables.sps:12: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
+moved to be categorical, but qnd1 is a scale variable.
+
+ctables.sps:13: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
+moved to have the same width, but QN1 has width 0 and string has width 8.
+
+ctables.sps:14: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
+moved to have the same value labels, but QN1 and QNSA1 have different value
+labels.
+
+ctables.sps:15: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
+moved to have the same category specifications, but QN105BA and QN105BB have
+different category specifications.
+
+ctables.sps:17.27-17.33: warning: CTABLES: The exponentiation operator (`**') is
+left-associative: `a**b**c' equals `(a**b)**c', not `a**(b**c)'.  To disable
+this warning, insert parentheses.
+   17 | CTABLES /PCOMPUTE &x=EXPR(1**2**3).
+      |                           ^~~~~~~
+
+ctables.sps:17.35: error: CTABLES: Syntax error at end of command: expecting
+`/'.
+
+ctables.sps:18.28-18.29: error: CTABLES: Syntax error at `**'.
+
+ctables.sps:19.27-19.28: error: CTABLES: Syntax error at `**'.
+
+ctables.sps:21.15: error: CTABLES: Syntax error at end of command: At least one
+variable must be specified.
+
+ctables.sps:23: error: CTABLES: Summaries may appear only on one axis.
+
+ctables.sps:23.50-23.54: note: CTABLES: This variable on the layers axis has a
+summary.
+   23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
+      |                                                  ^~~~~
+
+ctables.sps:23.16-23.20: note: CTABLES: This variable on the rows axis has a
+summary.
+   23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
+      |                ^~~~~
+
+ctables.sps:23.33-23.37: note: CTABLES: This variable on the columns axis has a
+summary.
+   23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
+      |                                 ^~~~~
+
+ctables.sps:23.33-23.37: note: CTABLES: This is a scale variable, so it always
+has a summary even if the syntax does not explicitly specify one.
+   23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
+      |                                 ^~~~~
+
+ctables.sps:25.46-25.63: error: CTABLES: Syntax error at `KEY=PTILE(qn1, 50)':
+Data-dependent sorting is not implemented.
+
+ctables.sps:27.16-27.21: error: CTABLES: Syntax error at `$mrset': Multiple
+response set support not implemented.
+
+ctables.sps:29.23-29.44: error: CTABLES: Syntax error at `SIGTEST
+TYPE=CHISQUARE': Support for SIGTEST not yet implemented.
+
+ctables.sps:30.35-30.43: error: CTABLES: Syntax error at `TYPE=PROP': Support
+for COMPARETEST not yet implemented.
+
+ctables.sps:32.23-32.31: error: CTABLES: Syntax error at `COUNT.UCL': Support
+for LCL, UCL, and SE summary functions is not yet implemented.
+
+ctables.sps:34.32-34.33: error: CTABLES: Syntax error at `**': expecting
+VARIABLES.
+]])
+AT_CLEANUP
+
+AT_SETUP([CTABLES one categorical variable])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE qn1.
+CTABLES /TABLE BY qn1.
+CTABLES /TABLE BY BY qn1.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ 1. How often do you usually drive a car or other  Every day            โ”‚ 4667โ”‚
+โ”‚motor vehicle?                                     Several days a week  โ”‚ 1274โ”‚
+โ”‚                                                   Once a week or less  โ”‚  361โ”‚
+โ”‚                                                   Only certain times a โ”‚  130โ”‚
+โ”‚                                                   year                 โ”‚     โ”‚
+โ”‚                                                   Never                โ”‚  540โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚        1. How often do you usually drive a car or other motor vehicle?       โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚  Several days a  โ”‚  Once a week or  โ”‚  Only certain times a  โ”‚     โ”‚
+โ”‚Every dayโ”‚       week       โ”‚       less       โ”‚          year          โ”‚Neverโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  Count  โ”‚       Count      โ”‚       Count      โ”‚          Count         โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚     4667โ”‚              1274โ”‚               361โ”‚                     130โ”‚  540โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+Custom Tables
+Every day
+โ•ญโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ 4667โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES one string variable])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+STRING licensed(A8).
+MISSING VALUES licensed('DontKnow', 'Refused').
+RECODE qnd7a(1='Yes')(2='No')(3='DontKnow')(4='Refused') INTO licensed.
+CTABLES /TABLE licensed.
+CTABLES /TABLE licensed [COUNT, TOTALS[COUNT, VALIDN]] /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
+CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['Yes', 'No'] TOTAL=YES.
+* Notice that the string matching is case-sensitive.
+CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['Yes', 'no'] TOTAL=YES.
+CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['No' THRU 'yes'] TOTAL=YES.
+CTABLES
+    /PCOMPUTE &notyes=EXPR(['No']+['DontKnow']+['Refused'])
+    /PPROPERTIES &notyes LABEL='Not Yes' HIDESOURCECATS=YES
+    /TABLE licensed
+    /CATEGORIES VARIABLES=licensed ['Yes', &notyes, 'No', 'DontKnow', 'Refused'].
+CTABLES
+    /PCOMPUTE &notyes=EXPR(['DontKnow' THRU 'No'] + ['Refused'])
+    /PPROPERTIES &notyes LABEL='Not Yes' HIDESOURCECATS=YES
+    /TABLE licensed
+    /CATEGORIES VARIABLES=licensed ['Yes', &notyes, 'DontKnow' THRU 'No', 'Refused'].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+    Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚            โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed No โ”‚  572โ”‚
+โ”‚         Yesโ”‚ 6379โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+          Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                 โ”‚Countโ”‚Valid Nโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed DontKnowโ”‚    4โ”‚       โ”‚
+โ”‚         No      โ”‚  572โ”‚       โ”‚
+โ”‚         Refused โ”‚   44โ”‚       โ”‚
+โ”‚         Yes     โ”‚ 6379โ”‚       โ”‚
+โ”‚         Total   โ”‚ 6999โ”‚   6951โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+     Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚              โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed Yes  โ”‚ 6379โ”‚
+โ”‚         No   โ”‚  572โ”‚
+โ”‚         Totalโ”‚ 6951โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+     Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚              โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed Yes  โ”‚ 6379โ”‚
+โ”‚         no   โ”‚    0โ”‚
+โ”‚         Totalโ”‚ 6379โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed No     โ”‚  572โ”‚
+โ”‚         Refusedโ”‚   44โ”‚
+โ”‚         Yes    โ”‚ 6379โ”‚
+โ”‚         Total  โ”‚ 6995โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed Yes    โ”‚ 6379โ”‚
+โ”‚         Not Yesโ”‚  620โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚licensed Yes    โ”‚ 6379โ”‚
+โ”‚         Not Yesโ”‚  620โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES one scale variable])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+DESCRIPTIVES qnd1.
+CTABLES /TABLE qnd1[COUNT, VALIDN, TOTALN, MEAN, STDDEV, MINIMUM, MAXIMUM].
+CTABLES /TABLE BY qnd1.
+CTABLES /TABLE BY BY qnd1.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                       Descriptive Statistics
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                          โ”‚  N โ”‚ Meanโ”‚Std Devโ”‚Minimumโ”‚  Maximum  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D1. AGE: What is your age?โ”‚6930โ”‚48.26โ”‚  19.01โ”‚     16โ”‚86 or olderโ”‚
+โ”‚Valid N (listwise)        โ”‚6999โ”‚     โ”‚       โ”‚       โ”‚           โ”‚
+โ”‚Missing N (listwise)      โ”‚  69โ”‚     โ”‚       โ”‚       โ”‚           โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                      โ”‚     โ”‚       โ”‚       โ”‚    โ”‚     Std    โ”‚       โ”‚       โ”‚
+โ”‚                      โ”‚Countโ”‚Valid Nโ”‚Total Nโ”‚Meanโ”‚  Deviation โ”‚Minimumโ”‚Maximumโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D1. AGE: What is your โ”‚ 6999โ”‚   6930โ”‚   6999โ”‚  48โ”‚          19โ”‚     16โ”‚     86โ”‚
+โ”‚age?                  โ”‚     โ”‚       โ”‚       โ”‚    โ”‚            โ”‚       โ”‚       โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+        Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚D1. AGE: What is your age?โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚           Mean           โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                        48โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+Custom Tables
+D1. AGE: What is your age?
+โ•ญโ”€โ”€โ”€โ”€โ•ฎ
+โ”‚Meanโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”ค
+โ”‚  48โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES simple stacking])
+AT_KEYWORDS([stack stacked])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                               โ”‚ S3a. GENDER: โ”‚
+โ”‚                                                               โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                               โ”‚ Male โ”‚ Femaleโ”‚
+โ”‚                                                               โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                               โ”‚Columnโ”‚ Columnโ”‚
+โ”‚                                                               โ”‚   %  โ”‚   %   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had   Almost      โ”‚   10%โ”‚    11%โ”‚
+โ”‚too much to drink to drive safely will A. Get      certain     โ”‚      โ”‚       โ”‚
+โ”‚stopped by the police?                             Very likely โ”‚   21%โ”‚    22%โ”‚
+โ”‚                                                   Somewhat    โ”‚   38%โ”‚    42%โ”‚
+โ”‚                                                   likely      โ”‚      โ”‚       โ”‚
+โ”‚                                                   Somewhat    โ”‚   21%โ”‚    18%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”‚                                                   Very        โ”‚   10%โ”‚     8%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had   Almost      โ”‚   14%โ”‚    18%โ”‚
+โ”‚too much to drink to drive safely will B. Have an  certain     โ”‚      โ”‚       โ”‚
+โ”‚accident?                                          Very likely โ”‚   36%โ”‚    45%โ”‚
+โ”‚                                                   Somewhat    โ”‚   39%โ”‚    32%โ”‚
+โ”‚                                                   likely      โ”‚      โ”‚       โ”‚
+โ”‚                                                   Somewhat    โ”‚    9%โ”‚     4%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”‚                                                   Very        โ”‚    3%โ”‚     2%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had   Almost      โ”‚   18%โ”‚    16%โ”‚
+โ”‚too much to drink to drive safely will C. Be       certain     โ”‚      โ”‚       โ”‚
+โ”‚convicted for drunk driving?                       Very likely โ”‚   32%โ”‚    28%โ”‚
+โ”‚                                                   Somewhat    โ”‚   27%โ”‚    32%โ”‚
+โ”‚                                                   likely      โ”‚      โ”‚       โ”‚
+โ”‚                                                   Somewhat    โ”‚   15%โ”‚    15%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”‚                                                   Very        โ”‚    9%โ”‚     9%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had   Almost      โ”‚   16%โ”‚    16%โ”‚
+โ”‚too much to drink to drive safely will D. Be       certain     โ”‚      โ”‚       โ”‚
+โ”‚arrested for drunk driving?                        Very likely โ”‚   26%โ”‚    27%โ”‚
+โ”‚                                                   Somewhat    โ”‚   32%โ”‚    35%โ”‚
+โ”‚                                                   likely      โ”‚      โ”‚       โ”‚
+โ”‚                                                   Somewhat    โ”‚   17%โ”‚    15%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ”‚                                                   Very        โ”‚    9%โ”‚     7%โ”‚
+โ”‚                                                   unlikely    โ”‚      โ”‚       โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES show or hide empty categories])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+IF (qn105ba = 2) qn105ba = 1.
+IF (qns3a = 1) qns3a = 2.
+CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
+CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
+    /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
+CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
+    /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
+CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
+    /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                              โ”‚  S3a. GENDER: โ”‚
+โ”‚                                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                              โ”‚  Male โ”‚ Femaleโ”‚
+โ”‚                                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                              โ”‚ Columnโ”‚ Columnโ”‚
+โ”‚                                                              โ”‚   %   โ”‚   %   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had   Almost     โ”‚      .โ”‚    32%โ”‚
+โ”‚too much to drink to drive safely will A. Get      certain    โ”‚       โ”‚       โ”‚
+โ”‚stopped by the police?                             Very likelyโ”‚      .โ”‚     0%โ”‚
+โ”‚                                                   Somewhat   โ”‚      .โ”‚    40%โ”‚
+โ”‚                                                   likely     โ”‚       โ”‚       โ”‚
+โ”‚                                                   Somewhat   โ”‚      .โ”‚    19%โ”‚
+โ”‚                                                   unlikely   โ”‚       โ”‚       โ”‚
+โ”‚                                                   Very       โ”‚      .โ”‚     9%โ”‚
+โ”‚                                                   unlikely   โ”‚       โ”‚       โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                              โ”‚  S3a. GENDER: โ”‚
+โ”‚                                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                              โ”‚  Male โ”‚ Femaleโ”‚
+โ”‚                                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                              โ”‚ Columnโ”‚ Columnโ”‚
+โ”‚                                                              โ”‚   %   โ”‚   %   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had   Almost     โ”‚      .โ”‚    32%โ”‚
+โ”‚too much to drink to drive safely will A. Get      certain    โ”‚       โ”‚       โ”‚
+โ”‚stopped by the police?                             Somewhat   โ”‚      .โ”‚    40%โ”‚
+โ”‚                                                   likely     โ”‚       โ”‚       โ”‚
+โ”‚                                                   Somewhat   โ”‚      .โ”‚    19%โ”‚
+โ”‚                                                   unlikely   โ”‚       โ”‚       โ”‚
+โ”‚                                                   Very       โ”‚      .โ”‚     9%โ”‚
+โ”‚                                                   unlikely   โ”‚       โ”‚       โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                    โ”‚   S3a.  โ”‚
+โ”‚                                                                    โ”‚ GENDER: โ”‚
+โ”‚                                                                    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                    โ”‚  Female โ”‚
+โ”‚                                                                    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                    โ”‚ Column %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too    Almost      โ”‚      32%โ”‚
+โ”‚much to drink to drive safely will A. Get stopped by    certain     โ”‚         โ”‚
+โ”‚the police?                                             Very likely โ”‚       0%โ”‚
+โ”‚                                                        Somewhat    โ”‚      40%โ”‚
+โ”‚                                                        likely      โ”‚         โ”‚
+โ”‚                                                        Somewhat    โ”‚      19%โ”‚
+โ”‚                                                        unlikely    โ”‚         โ”‚
+โ”‚                                                        Very        โ”‚       9%โ”‚
+โ”‚                                                        unlikely    โ”‚         โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                    โ”‚   S3a.  โ”‚
+โ”‚                                                                    โ”‚ GENDER: โ”‚
+โ”‚                                                                    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                    โ”‚  Female โ”‚
+โ”‚                                                                    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                    โ”‚ Column %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too    Almost      โ”‚      32%โ”‚
+โ”‚much to drink to drive safely will A. Get stopped by    certain     โ”‚         โ”‚
+โ”‚the police?                                             Somewhat    โ”‚      40%โ”‚
+โ”‚                                                        likely      โ”‚         โ”‚
+โ”‚                                                        Somewhat    โ”‚      19%โ”‚
+โ”‚                                                        unlikely    โ”‚         โ”‚
+โ”‚                                                        Very        โ”‚       9%โ”‚
+โ”‚                                                        unlikely    โ”‚         โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES sorting categories])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+IF (QND5A=6) QND5A=-1.
+IF (QND5A=5) QND5A=-2.
+CTABLES /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=VALUE ORDER=A
+        /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=VALUE ORDER=D
+        /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=LABEL ORDER=A
+        /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=LABEL ORDER=D.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary ethnic  -2.00                   โ”‚   52โ”‚
+โ”‚background?                                     -1.00                   โ”‚   78โ”‚
+โ”‚                                                Cuban                   โ”‚   20โ”‚
+โ”‚                                                Mexican                 โ”‚  311โ”‚
+โ”‚                                                Spanish                 โ”‚   48โ”‚
+โ”‚                                                South American          โ”‚   34โ”‚
+โ”‚                                                Central American        โ”‚    0โ”‚
+โ”‚                                                Puerto Rican, OR        โ”‚    0โ”‚
+โ”‚                                                Something else          โ”‚   68โ”‚
+โ”‚                                                Multiple - cannot chooseโ”‚    7โ”‚
+โ”‚                                                one                     โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary ethnic  Multiple - cannot chooseโ”‚    7โ”‚
+โ”‚background?                                     one                     โ”‚     โ”‚
+โ”‚                                                Something else          โ”‚   68โ”‚
+โ”‚                                                Puerto Rican, OR        โ”‚    0โ”‚
+โ”‚                                                Central American        โ”‚    0โ”‚
+โ”‚                                                South American          โ”‚   34โ”‚
+โ”‚                                                Spanish                 โ”‚   48โ”‚
+โ”‚                                                Mexican                 โ”‚  311โ”‚
+โ”‚                                                Cuban                   โ”‚   20โ”‚
+โ”‚                                                -1.00                   โ”‚   78โ”‚
+โ”‚                                                -2.00                   โ”‚   52โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary ethnic  Central American        โ”‚    0โ”‚
+โ”‚background?                                     Cuban                   โ”‚   20โ”‚
+โ”‚                                                Mexican                 โ”‚  311โ”‚
+โ”‚                                                Multiple - cannot chooseโ”‚    7โ”‚
+โ”‚                                                one                     โ”‚     โ”‚
+โ”‚                                                Puerto Rican, OR        โ”‚    0โ”‚
+โ”‚                                                Something else          โ”‚   68โ”‚
+โ”‚                                                South American          โ”‚   34โ”‚
+โ”‚                                                Spanish                 โ”‚   48โ”‚
+โ”‚                                                -2.00                   โ”‚   52โ”‚
+โ”‚                                                -1.00                   โ”‚   78โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary ethnic  Spanish                 โ”‚   48โ”‚
+โ”‚background?                                     South American          โ”‚   34โ”‚
+โ”‚                                                Something else          โ”‚   68โ”‚
+โ”‚                                                Puerto Rican, OR        โ”‚    0โ”‚
+โ”‚                                                Multiple - cannot chooseโ”‚    7โ”‚
+โ”‚                                                one                     โ”‚     โ”‚
+โ”‚                                                Mexican                 โ”‚  311โ”‚
+โ”‚                                                Cuban                   โ”‚   20โ”‚
+โ”‚                                                Central American        โ”‚    0โ”‚
+โ”‚                                                -1.00                   โ”‚   78โ”‚
+โ”‚                                                -2.00                   โ”‚   52โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES simple nesting])
+AT_KEYWORDS([nest nested])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
+  /CATEGORIES VARIABLES=qns3a TOTAL=YES.
+CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
+  /CATEGORIES VARIABLES=qns3a TOTAL=YES
+  /CLABELS ROW=OPPOSITE.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                 โ”‚     โ”‚ Tableโ”‚
+โ”‚                                                                 โ”‚Countโ”‚   %  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers    Almost     S3a.     Male  โ”‚  297โ”‚    4%โ”‚
+โ”‚who have had too much to drink to      certain    GENDER:  Femaleโ”‚  403โ”‚    6%โ”‚
+โ”‚drive safely will A. Get stopped by                        Total โ”‚  700โ”‚   10%โ”‚
+โ”‚the police?                           โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚  660โ”‚   10%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚  842โ”‚   12%โ”‚
+โ”‚                                                           Total โ”‚ 1502โ”‚   22%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚ 1174โ”‚   17%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1589โ”‚   23%โ”‚
+โ”‚                                                           Total โ”‚ 2763โ”‚   40%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚  640โ”‚    9%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  667โ”‚   10%โ”‚
+โ”‚                                                           Total โ”‚ 1307โ”‚   19%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚  311โ”‚    5%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  298โ”‚    4%โ”‚
+โ”‚                                                           Total โ”‚  609โ”‚    9%โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers    Almost     S3a.     Male  โ”‚  429โ”‚    6%โ”‚
+โ”‚who have had too much to drink to      certain    GENDER:  Femaleโ”‚  671โ”‚   10%โ”‚
+โ”‚drive safely will B. Have an accident?                     Total โ”‚ 1100โ”‚   16%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚ 1104โ”‚   16%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1715โ”‚   25%โ”‚
+โ”‚                                                           Total โ”‚ 2819โ”‚   41%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚ 1203โ”‚   17%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1214โ”‚   18%โ”‚
+โ”‚                                                           Total โ”‚ 2417โ”‚   35%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚  262โ”‚    4%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  168โ”‚    2%โ”‚
+โ”‚                                                           Total โ”‚  430โ”‚    6%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚   81โ”‚    1%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚   59โ”‚    1%โ”‚
+โ”‚                                                           Total โ”‚  140โ”‚    2%โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers    Almost     S3a.     Male  โ”‚  539โ”‚    8%โ”‚
+โ”‚who have had too much to drink to      certain    GENDER:  Femaleโ”‚  610โ”‚    9%โ”‚
+โ”‚drive safely will C. Be convicted for                      Total โ”‚ 1149โ”‚   17%โ”‚
+โ”‚drunk driving?                        โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚  988โ”‚   14%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1049โ”‚   15%โ”‚
+โ”‚                                                           Total โ”‚ 2037โ”‚   30%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚  822โ”‚   12%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1210โ”‚   18%โ”‚
+โ”‚                                                           Total โ”‚ 2032โ”‚   30%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚  446โ”‚    7%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  548โ”‚    8%โ”‚
+โ”‚                                                           Total โ”‚  994โ”‚   15%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚  268โ”‚    4%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  354โ”‚    5%โ”‚
+โ”‚                                                           Total โ”‚  622โ”‚    9%โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers    Almost     S3a.     Male  โ”‚  498โ”‚    7%โ”‚
+โ”‚who have had too much to drink to      certain    GENDER:  Femaleโ”‚  603โ”‚    9%โ”‚
+โ”‚drive safely will D. Be arrested for                       Total โ”‚ 1101โ”‚   16%โ”‚
+โ”‚drunk driving?                        โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚  805โ”‚   12%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1029โ”‚   15%โ”‚
+โ”‚                                                           Total โ”‚ 1834โ”‚   27%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚  975โ”‚   14%โ”‚
+โ”‚                                       likely     GENDER:  Femaleโ”‚ 1332โ”‚   19%โ”‚
+โ”‚                                                           Total โ”‚ 2307โ”‚   34%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Somewhat   S3a.     Male  โ”‚  535โ”‚    8%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  560โ”‚    8%โ”‚
+โ”‚                                                           Total โ”‚ 1095โ”‚   16%โ”‚
+โ”‚                                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       Very       S3a.     Male  โ”‚  270โ”‚    4%โ”‚
+โ”‚                                       unlikely   GENDER:  Femaleโ”‚  279โ”‚    4%โ”‚
+โ”‚                                                           Total โ”‚  549โ”‚    8%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                 โ”‚ Almost โ”‚ Very โ”‚ Somewhatโ”‚ Somewhatโ”‚  Very  โ”‚
+โ”‚                                 โ”‚ certainโ”‚likelyโ”‚  likely โ”‚ unlikelyโ”‚unlikelyโ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                 โ”‚        โ”‚ Tableโ”‚         โ”‚         โ”‚        โ”‚
+โ”‚                                 โ”‚ Table %โ”‚   %  โ”‚ Table % โ”‚ Table % โ”‚ Table %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a.    Male   105b. How likely  โ”‚      4%โ”‚   10%โ”‚      17%โ”‚       9%โ”‚      5%โ”‚
+โ”‚GENDER:        is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               A. Get stopped by โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               the police?       โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Female 105b. How likely  โ”‚      6%โ”‚   12%โ”‚      23%โ”‚      10%โ”‚      4%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               A. Get stopped by โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               the police?       โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Total  105b. How likely  โ”‚     10%โ”‚   22%โ”‚      40%โ”‚      19%โ”‚      9%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               A. Get stopped by โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               the police?       โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a.    Male   105b. How likely  โ”‚      6%โ”‚   16%โ”‚      17%โ”‚       4%โ”‚      1%โ”‚
+โ”‚GENDER:        is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               B. Have an        โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               accident?         โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Female 105b. How likely  โ”‚     10%โ”‚   25%โ”‚      18%โ”‚       2%โ”‚      1%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               B. Have an        โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               accident?         โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Total  105b. How likely  โ”‚     16%โ”‚   41%โ”‚      35%โ”‚       6%โ”‚      2%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               B. Have an        โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               accident?         โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a.    Male   105b. How likely  โ”‚      8%โ”‚   14%โ”‚      12%โ”‚       7%โ”‚      4%โ”‚
+โ”‚GENDER:        is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               C. Be convicted   โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               for drunk driving?โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Female 105b. How likely  โ”‚      9%โ”‚   15%โ”‚      18%โ”‚       8%โ”‚      5%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               C. Be convicted   โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               for drunk driving?โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Total  105b. How likely  โ”‚     17%โ”‚   30%โ”‚      30%โ”‚      15%โ”‚      9%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               C. Be convicted   โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               for drunk driving?โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a.    Male   105b. How likely  โ”‚      7%โ”‚   12%โ”‚      14%โ”‚       8%โ”‚      4%โ”‚
+โ”‚GENDER:        is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               D. Be arrested forโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drunk driving?    โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Female 105b. How likely  โ”‚      9%โ”‚   15%โ”‚      19%โ”‚       8%โ”‚      4%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               D. Be arrested forโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drunk driving?    โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚       โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚        Total  105b. How likely  โ”‚     16%โ”‚   27%โ”‚      34%โ”‚      16%โ”‚      8%โ”‚
+โ”‚               is it that driversโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               who have had too  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               much to drink to  โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drive safely will โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               D. Be arrested forโ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ”‚               drunk driving?    โ”‚        โ”‚      โ”‚         โ”‚         โ”‚        โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES nesting and scale variables])
+AT_KEYWORDS([nest nested])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE=qnd1 > qn1 BY qns3a.
+CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
+CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
+  /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
+CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                 โ”‚S3a. GENDER:โ”‚
+โ”‚                                                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                 โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                 โ”‚ Meanโ”‚ Mean โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D1. AGE: What   1. How often do you usually drive Every day      โ”‚   46โ”‚    46โ”‚
+โ”‚is your age?   a car or other motor vehicle?      Several days a โ”‚   51โ”‚    59โ”‚
+โ”‚                                                  week           โ”‚     โ”‚      โ”‚
+โ”‚                                                  Once a week or โ”‚   44โ”‚    54โ”‚
+โ”‚                                                  less           โ”‚     โ”‚      โ”‚
+โ”‚                                                  Only certain   โ”‚   34โ”‚    41โ”‚
+โ”‚                                                  times a year   โ”‚     โ”‚      โ”‚
+โ”‚                                                  Never          โ”‚   39โ”‚    55โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                         โ”‚Minimumโ”‚Maximumโ”‚Meanโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚D1. AGE: S3a.     Male   26. During the last 12       Yesโ”‚     16โ”‚     86โ”‚  42โ”‚
+โ”‚What is  GENDER:         months, has there been a        โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚your                     time when you felt you          โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚age?                     should cut down on your      No โ”‚     16โ”‚     86โ”‚  46โ”‚
+โ”‚                         drinking?                       โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚                 โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                  Female 26. During the last 12       Yesโ”‚     16โ”‚     86โ”‚  43โ”‚
+โ”‚                         months, has there been a        โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚                         time when you felt you          โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚                         should cut down on your      No โ”‚     16โ”‚     86โ”‚  48โ”‚
+โ”‚                         drinking?                       โ”‚       โ”‚       โ”‚    โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚D1. AGE: S3a.     Male   27. During the last 12       Yesโ”‚     16โ”‚     86โ”‚  38โ”‚
+โ”‚What is  GENDER:         months, has there been a        โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚your                     time when people criticized  No โ”‚     16โ”‚     86โ”‚  46โ”‚
+โ”‚age?                     your drinking?                  โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚                 โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                  Female 27. During the last 12       Yesโ”‚     17โ”‚     69โ”‚  37โ”‚
+โ”‚                         months, has there been a        โ”‚       โ”‚       โ”‚    โ”‚
+โ”‚                         time when people criticized  No โ”‚     16โ”‚     86โ”‚  48โ”‚
+โ”‚                         your drinking?                  โ”‚       โ”‚       โ”‚    โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                             โ”‚S1. Including yourself, how many members of thisโ”‚
+โ”‚                             โ”‚         household are age 16 or older?         โ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                             โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚ 6 or โ”‚
+โ”‚                             โ”‚ None โ”‚   1  โ”‚   2  โ”‚   3  โ”‚   4  โ”‚   5  โ”‚ more โ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                             โ”‚Columnโ”‚Columnโ”‚Columnโ”‚Columnโ”‚Columnโ”‚Columnโ”‚Columnโ”‚
+โ”‚                             โ”‚   %  โ”‚   %  โ”‚   %  โ”‚   %  โ”‚   %  โ”‚   %  โ”‚   %  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sa1.    RDD 105b.    Almost  โ”‚     .โ”‚  9.5%โ”‚  8.2%โ”‚ 12.4%โ”‚  9.9%โ”‚ 20.0%โ”‚ 23.8%โ”‚
+โ”‚SAMPLE      How      certain โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚SOURCE:     likely           โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            is it    Very    โ”‚     .โ”‚ 24.9%โ”‚ 18.5%โ”‚ 24.0%โ”‚ 26.6%โ”‚ 25.5%โ”‚ 33.3%โ”‚
+โ”‚            that     likely  โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            drivers          โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            who have         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            had too  Somewhatโ”‚     .โ”‚ 38.3%โ”‚ 41.9%โ”‚ 38.6%โ”‚ 37.5%โ”‚ 36.4%โ”‚ 23.8%โ”‚
+โ”‚            much to  likely  โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            drink to         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            drive            โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            safely   Somewhatโ”‚     .โ”‚ 18.1%โ”‚ 21.7%โ”‚ 16.8%โ”‚ 16.7%โ”‚ 10.9%โ”‚  9.5%โ”‚
+โ”‚            will A.  unlikelyโ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            Get              โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            stopped  Very    โ”‚     .โ”‚  9.2%โ”‚  9.7%โ”‚  8.2%โ”‚  9.4%โ”‚  7.3%โ”‚  9.5%โ”‚
+โ”‚            by the   unlikelyโ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ”‚            police?          โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                              โ”‚    โ”‚    Std   โ”‚
+โ”‚                                                              โ”‚Meanโ”‚ Deviationโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age    16 to 25 20. On how many of the thirty days in this    โ”‚ 5.2โ”‚       6.0โ”‚
+โ”‚group           typical month did you have one or more        โ”‚    โ”‚          โ”‚
+โ”‚                alcoholic beverages to drink?                 โ”‚    โ”‚          โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       26 to 35 20. On how many of the thirty days in this    โ”‚ 4.7โ”‚       5.9โ”‚
+โ”‚                typical month did you have one or more        โ”‚    โ”‚          โ”‚
+โ”‚                alcoholic beverages to drink?                 โ”‚    โ”‚          โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       36 to 45 20. On how many of the thirty days in this    โ”‚ 5.5โ”‚       6.8โ”‚
+โ”‚                typical month did you have one or more        โ”‚    โ”‚          โ”‚
+โ”‚                alcoholic beverages to drink?                 โ”‚    โ”‚          โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       46 to 55 20. On how many of the thirty days in this    โ”‚ 5.8โ”‚       7.7โ”‚
+โ”‚                typical month did you have one or more        โ”‚    โ”‚          โ”‚
+โ”‚                alcoholic beverages to drink?                 โ”‚    โ”‚          โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       56 to 65 20. On how many of the thirty days in this    โ”‚ 6.3โ”‚       8.2โ”‚
+โ”‚                typical month did you have one or more        โ”‚    โ”‚          โ”‚
+โ”‚                alcoholic beverages to drink?                 โ”‚    โ”‚          โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       66 or    20. On how many of the thirty days in this    โ”‚ 7.1โ”‚       9.2โ”‚
+โ”‚       older    typical month did you have one or more        โ”‚    โ”‚          โ”‚
+โ”‚                alcoholic beverages to drink?                 โ”‚    โ”‚          โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+
+AT_SETUP([CTABLES SLABELS])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE qn1 [COUNT COLPCT].
+CTABLES /TABLE qn1 [COUNT COLPCT]
+    /SLABELS POSITION=ROW.
+CTABLES /TABLE qn1 [COUNT COLPCT]
+    /SLABELS POSITION=ROW VISIBLE=NO.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                โ”‚     โ”‚ Columnโ”‚
+โ”‚                                                                โ”‚Countโ”‚   %   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ 1. How often do you usually drive a car or  Every day          โ”‚ 4667โ”‚  66.9%โ”‚
+โ”‚other motor vehicle?                         Several days a weekโ”‚ 1274โ”‚  18.3%โ”‚
+โ”‚                                             Once a week or lessโ”‚  361โ”‚   5.2%โ”‚
+โ”‚                                             Only certain times โ”‚  130โ”‚   1.9%โ”‚
+โ”‚                                             a year             โ”‚     โ”‚       โ”‚
+โ”‚                                             Never              โ”‚  540โ”‚   7.7%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚ 1. How often do you usually drive a car or  Every day           Count  โ”‚ 4667โ”‚
+โ”‚other motor vehicle?                                             Column โ”‚66.9%โ”‚
+โ”‚                                                                 %      โ”‚     โ”‚
+โ”‚                                            โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             Several days a week Count  โ”‚ 1274โ”‚
+โ”‚                                                                 Column โ”‚18.3%โ”‚
+โ”‚                                                                 %      โ”‚     โ”‚
+โ”‚                                            โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             Once a week or less Count  โ”‚  361โ”‚
+โ”‚                                                                 Column โ”‚ 5.2%โ”‚
+โ”‚                                                                 %      โ”‚     โ”‚
+โ”‚                                            โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             Only certain times  Count  โ”‚  130โ”‚
+โ”‚                                             a year              Column โ”‚ 1.9%โ”‚
+โ”‚                                                                 %      โ”‚     โ”‚
+โ”‚                                            โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             Never               Count  โ”‚  540โ”‚
+โ”‚                                                                 Column โ”‚ 7.7%โ”‚
+โ”‚                                                                 %      โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚ 1. How often do you usually drive a car or other  Every day            โ”‚ 4667โ”‚
+โ”‚motor vehicle?                                                          โ”‚66.9%โ”‚
+โ”‚                                                   Several days a week  โ”‚ 1274โ”‚
+โ”‚                                                                        โ”‚18.3%โ”‚
+โ”‚                                                   Once a week or less  โ”‚  361โ”‚
+โ”‚                                                                        โ”‚ 5.2%โ”‚
+โ”‚                                                   Only certain times a โ”‚  130โ”‚
+โ”‚                                                   year                 โ”‚ 1.9%โ”‚
+โ”‚                                                   Never                โ”‚  540โ”‚
+โ”‚                                                                        โ”‚ 7.7%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES simple totals])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE=qn17
+    /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
+DESCRIPTIVES qn18/STATISTICS=MEAN.
+CTABLES /TABLE=region > qn18 [MEAN, COUNT, VALIDN, TOTALN]
+    /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚17. When you drink alcoholic beverages, which ONE of  OR, something elseโ”‚    2โ”‚
+โ”‚the following beverages do you drink MOST OFTEN?      Beer              โ”‚ 1073โ”‚
+โ”‚                                                      Light beer        โ”‚  620โ”‚
+โ”‚                                                      Wine              โ”‚ 1418โ”‚
+โ”‚                                                      Wine coolers      โ”‚  137โ”‚
+โ”‚                                                      Hard liquor or    โ”‚  888โ”‚
+โ”‚                                                      mixed drinks      โ”‚     โ”‚
+โ”‚                                                      Flavored malt     โ”‚   83โ”‚
+โ”‚                                                      drinks            โ”‚     โ”‚
+โ”‚                                                      Number responding โ”‚ 4221โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                             Descriptive Statistics
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                    โ”‚  N โ”‚Meanโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚18. When you drink ANSWERFROM(QN17R1), about how many               โ”‚4218โ”‚4.62โ”‚
+โ”‚ANSWERFROM(QN17R2) do you usually drink per sitting?                โ”‚    โ”‚    โ”‚
+โ”‚Valid N (listwise)                                                  โ”‚6999โ”‚    โ”‚
+โ”‚Missing N (listwise)                                                โ”‚2781โ”‚    โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                      โ”‚    โ”‚     โ”‚ Validโ”‚Totalโ”‚
+โ”‚                                                      โ”‚Meanโ”‚Countโ”‚   N  โ”‚  N  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Region NE       18. When you drink ANSWERFROM(QN17R1),โ”‚4.36โ”‚ 1409โ”‚   949โ”‚ 1409โ”‚
+โ”‚                about how many ANSWERFROM(QN17R2) do  โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚                you usually drink per sitting?        โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       MW       18. When you drink ANSWERFROM(QN17R1),โ”‚4.67โ”‚ 1654โ”‚  1027โ”‚ 1654โ”‚
+โ”‚                about how many ANSWERFROM(QN17R2) do  โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚                you usually drink per sitting?        โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       S        18. When you drink ANSWERFROM(QN17R1),โ”‚4.71โ”‚ 2390โ”‚  1287โ”‚ 2390โ”‚
+โ”‚                about how many ANSWERFROM(QN17R2) do  โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚                you usually drink per sitting?        โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       W        18. When you drink ANSWERFROM(QN17R1),โ”‚4.69โ”‚ 1546โ”‚   955โ”‚ 1546โ”‚
+โ”‚                about how many ANSWERFROM(QN17R2) do  โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚                you usually drink per sitting?        โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       All      18. When you drink ANSWERFROM(QN17R1),โ”‚4.62โ”‚ 6999โ”‚  4218โ”‚ 6999โ”‚
+โ”‚       regions  about how many ANSWERFROM(QN17R2) do  โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ”‚                you usually drink per sitting?        โ”‚    โ”‚     โ”‚      โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES subtotals])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE=qn105ba BY qns1
+    /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
+CTABLES /TABLE=qn105ba [COLPCT] BY qns1
+    /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
+CTABLES /TABLE=qn105ba BY qns1
+    /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
+    /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+                                                      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                         โ”‚ S1. Including yourself, how many members of this household โ”‚
+โ”‚                                                         โ”‚                    are age 16 or older?                    โ”‚
+โ”‚                                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                         โ”‚   1   โ”‚   2   โ”‚ Subtotalโ”‚   3   โ”‚    4   โ”‚   5  โ”‚ Subtotal โ”‚
+โ”‚                                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                         โ”‚ Count โ”‚ Count โ”‚  Count  โ”‚ Count โ”‚  Count โ”‚ Countโ”‚   Count  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have  Almost     โ”‚    147โ”‚    246โ”‚      393โ”‚     62โ”‚      19โ”‚    11โ”‚        92โ”‚
+โ”‚had too much to drink to drive safely will A. certain    โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚Get stopped by the police?                    Very likelyโ”‚    384โ”‚    552โ”‚      936โ”‚    120โ”‚      51โ”‚    14โ”‚       185โ”‚
+โ”‚                                              Somewhat   โ”‚    590โ”‚   1249โ”‚     1839โ”‚    193โ”‚      72โ”‚    20โ”‚       285โ”‚
+โ”‚                                              likely     โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚                                              Somewhat   โ”‚    278โ”‚    647โ”‚      925โ”‚     84โ”‚      32โ”‚     6โ”‚       122โ”‚
+โ”‚                                              unlikely   โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚                                              Very       โ”‚    141โ”‚    290โ”‚      431โ”‚     41โ”‚      18โ”‚     4โ”‚        63โ”‚
+โ”‚                                              unlikely   โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                                      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                        โ”‚  S1. Including yourself, how many members of this household โ”‚
+โ”‚                                                        โ”‚                     are age 16 or older?                    โ”‚
+โ”‚                                                        โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                        โ”‚        โ”‚        โ”‚        โ”‚        โ”‚       โ”‚        โ”‚  6 or  โ”‚
+โ”‚                                                        โ”‚  None  โ”‚    1   โ”‚    2   โ”‚    3   โ”‚   4   โ”‚    5   โ”‚  more  โ”‚
+โ”‚                                                        โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                        โ”‚        โ”‚        โ”‚        โ”‚        โ”‚ Columnโ”‚        โ”‚        โ”‚
+โ”‚                                                        โ”‚Column %โ”‚Column %โ”‚Column %โ”‚Column %โ”‚   %   โ”‚Column %โ”‚Column %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have Almost     โ”‚       .โ”‚    9.5%โ”‚    8.2%โ”‚   12.4%โ”‚   9.9%โ”‚   20.0%โ”‚   23.8%โ”‚
+โ”‚had too much to drink to drive safely will   certain    โ”‚        โ”‚        โ”‚        โ”‚        โ”‚       โ”‚        โ”‚        โ”‚
+โ”‚A. Get stopped by the police?                Very likelyโ”‚       .โ”‚   24.9%โ”‚   18.5%โ”‚   24.0%โ”‚  26.6%โ”‚   25.5%โ”‚   33.3%โ”‚
+โ”‚                                             Somewhat   โ”‚       .โ”‚   38.3%โ”‚   41.9%โ”‚   38.6%โ”‚  37.5%โ”‚   36.4%โ”‚   23.8%โ”‚
+โ”‚                                             likely     โ”‚        โ”‚        โ”‚        โ”‚        โ”‚       โ”‚        โ”‚        โ”‚
+โ”‚                                             Subtotal   โ”‚        โ”‚   72.8%โ”‚   68.6%โ”‚   75.0%โ”‚  74.0%โ”‚   81.8%โ”‚   81.0%โ”‚
+โ”‚                                             Somewhat   โ”‚       .โ”‚   18.1%โ”‚   21.7%โ”‚   16.8%โ”‚  16.7%โ”‚   10.9%โ”‚    9.5%โ”‚
+โ”‚                                             unlikely   โ”‚        โ”‚        โ”‚        โ”‚        โ”‚       โ”‚        โ”‚        โ”‚
+โ”‚                                             Very       โ”‚       .โ”‚    9.2%โ”‚    9.7%โ”‚    8.2%โ”‚   9.4%โ”‚    7.3%โ”‚    9.5%โ”‚
+โ”‚                                             unlikely   โ”‚        โ”‚        โ”‚        โ”‚        โ”‚       โ”‚        โ”‚        โ”‚
+โ”‚                                             Subtotal   โ”‚        โ”‚   27.2%โ”‚   31.4%โ”‚   25.0%โ”‚  26.0%โ”‚   18.2%โ”‚   19.0%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                                      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                         โ”‚ S1. Including yourself, how many members of this household โ”‚
+โ”‚                                                         โ”‚                    are age 16 or older?                    โ”‚
+โ”‚                                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                         โ”‚   1   โ”‚   2   โ”‚ Subtotalโ”‚   3   โ”‚    4   โ”‚   5  โ”‚ Subtotal โ”‚
+โ”‚                                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                         โ”‚ Count โ”‚ Count โ”‚  Count  โ”‚ Count โ”‚  Count โ”‚ Countโ”‚   Count  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have  Almost     โ”‚    147โ”‚    246โ”‚      393โ”‚     62โ”‚      19โ”‚    11โ”‚        92โ”‚
+โ”‚had too much to drink to drive safely will A. certain    โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚Get stopped by the police?                    Very likelyโ”‚    384โ”‚    552โ”‚      936โ”‚    120โ”‚      51โ”‚    14โ”‚       185โ”‚
+โ”‚                                              Somewhat   โ”‚    590โ”‚   1249โ”‚     1839โ”‚    193โ”‚      72โ”‚    20โ”‚       285โ”‚
+โ”‚                                              likely     โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚                                              Subtotal   โ”‚   1121โ”‚   2047โ”‚     3168โ”‚    375โ”‚     142โ”‚    45โ”‚       562โ”‚
+โ”‚                                              Somewhat   โ”‚    278โ”‚    647โ”‚      925โ”‚     84โ”‚      32โ”‚     6โ”‚       122โ”‚
+โ”‚                                              unlikely   โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚                                              Very       โ”‚    141โ”‚    290โ”‚      431โ”‚     41โ”‚      18โ”‚     4โ”‚        63โ”‚
+โ”‚                                              unlikely   โ”‚       โ”‚       โ”‚         โ”‚       โ”‚        โ”‚      โ”‚          โ”‚
+โ”‚                                              Subtotal   โ”‚    419โ”‚    937โ”‚     1356โ”‚    125โ”‚      50โ”‚    10โ”‚       185โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES PCOMPUTE])
+AT_KEYWORDS([postcompute])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /PCOMPUTE &x=EXPR([3] + [4])
+    /PCOMPUTE &y=EXPR([4] + [5])
+    /PPROPERTIES &x LABEL='3+4' FORMAT=COUNT F8.2
+    /PPROPERTIES &y LABEL=')LABEL[5]+)LABEL[6]'
+    /TABLE=qn105ba [COUNT, ROWPCT] BY qns1
+    /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL] TOTAL=YES
+
+* Adding HIDESOURCECATS=YES for one PPROPERTIES.
+CTABLES
+    /PCOMPUTE &x=EXPR([3] + [4])
+    /PCOMPUTE &y=EXPR([4] + [5])
+    /PPROPERTIES &x LABEL='3+4' FORMAT=COUNT F8.2
+    /PPROPERTIES &y LABEL=')LABEL[5]+)LABEL[6]' HIDESOURCECATS=YES
+    /TABLE=qn105ba [COUNT, ROWPCT] BY qns1
+    /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL] TOTAL=YES
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=140], [0], [dnl
+                                                                Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                   โ”‚                    S1. Including yourself, how many members of this household are age 16 or older?                   โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚     1     โ”‚     2     โ”‚  Subtotal โ”‚     3     โ”‚     4    โ”‚     5    โ”‚     3+4    โ”‚    4+5   โ”‚  Subtotal โ”‚    Total   โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚ Rowโ”‚     โ”‚ Rowโ”‚      โ”‚     โ”‚     โ”‚ Rowโ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚                   โ”‚Countโ”‚Row %โ”‚Countโ”‚Row %โ”‚Countโ”‚Row %โ”‚Countโ”‚Row %โ”‚Countโ”‚  % โ”‚Countโ”‚  % โ”‚ Countโ”‚Row %โ”‚Countโ”‚  % โ”‚Countโ”‚Row %โ”‚Countโ”‚ Row %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How  Almost  โ”‚  147โ”‚30.3%โ”‚  246โ”‚50.7%โ”‚  393โ”‚81.0%โ”‚   62โ”‚12.8%โ”‚   19โ”‚3.9%โ”‚   11โ”‚2.3%โ”‚ 81.00โ”‚16.7%โ”‚   30โ”‚6.2%โ”‚   92โ”‚19.0%โ”‚  485โ”‚100.0%โ”‚
+โ”‚likely is  certain โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚it that            โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚drivers    Very    โ”‚  384โ”‚34.3%โ”‚  552โ”‚49.2%โ”‚  936โ”‚83.5%โ”‚  120โ”‚10.7%โ”‚   51โ”‚4.5%โ”‚   14โ”‚1.2%โ”‚171.00โ”‚15.3%โ”‚   65โ”‚5.8%โ”‚  185โ”‚16.5%โ”‚ 1121โ”‚100.0%โ”‚
+โ”‚who have   likely  โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚had too            โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚much to    Somewhatโ”‚  590โ”‚27.8%โ”‚ 1249โ”‚58.8%โ”‚ 1839โ”‚86.6%โ”‚  193โ”‚ 9.1%โ”‚   72โ”‚3.4%โ”‚   20โ”‚ .9%โ”‚265.00โ”‚12.5%โ”‚   92โ”‚4.3%โ”‚  285โ”‚13.4%โ”‚ 2124โ”‚100.0%โ”‚
+โ”‚drink to   likely  โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚drive              โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚safely     Somewhatโ”‚  278โ”‚26.6%โ”‚  647โ”‚61.8%โ”‚  925โ”‚88.3%โ”‚   84โ”‚ 8.0%โ”‚   32โ”‚3.1%โ”‚    6โ”‚ .6%โ”‚116.00โ”‚11.1%โ”‚   38โ”‚3.6%โ”‚  122โ”‚11.7%โ”‚ 1047โ”‚100.0%โ”‚
+โ”‚will A.    unlikelyโ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚Get                โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚stopped by Very    โ”‚  141โ”‚28.5%โ”‚  290โ”‚58.7%โ”‚  431โ”‚87.2%โ”‚   41โ”‚ 8.3%โ”‚   18โ”‚3.6%โ”‚    4โ”‚ .8%โ”‚ 59.00โ”‚11.9%โ”‚   22โ”‚4.5%โ”‚   63โ”‚12.8%โ”‚  494โ”‚100.0%โ”‚
+โ”‚the        unlikelyโ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚police?            โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚    โ”‚     โ”‚    โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                                                Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                         โ”‚         S1. Including yourself, how many members of this household are age 16 or older?        โ”‚
+โ”‚                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                         โ”‚     1     โ”‚     2     โ”‚  Subtotal โ”‚     3     โ”‚     3+4    โ”‚    4+5   โ”‚  Subtotal โ”‚    Total   โ”‚
+โ”‚                                         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                         โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚      โ”‚     โ”‚     โ”‚ Rowโ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚                                         โ”‚Countโ”‚Row %โ”‚Countโ”‚Row %โ”‚Countโ”‚Row %โ”‚Countโ”‚Row %โ”‚ Countโ”‚Row %โ”‚Countโ”‚  % โ”‚Countโ”‚Row %โ”‚Countโ”‚ Row %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that    Almost    โ”‚  147โ”‚30.3%โ”‚  246โ”‚50.7%โ”‚  393โ”‚81.0%โ”‚   62โ”‚12.8%โ”‚ 81.00โ”‚16.7%โ”‚   30โ”‚6.2%โ”‚   92โ”‚19.0%โ”‚  485โ”‚100.0%โ”‚
+โ”‚drivers who have had too much  certain   โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚to drink to drive safely will  Very      โ”‚  384โ”‚34.3%โ”‚  552โ”‚49.2%โ”‚  936โ”‚83.5%โ”‚  120โ”‚10.7%โ”‚171.00โ”‚15.3%โ”‚   65โ”‚5.8%โ”‚  185โ”‚16.5%โ”‚ 1121โ”‚100.0%โ”‚
+โ”‚A. Get stopped by the police?  likely    โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚                               Somewhat  โ”‚  590โ”‚27.8%โ”‚ 1249โ”‚58.8%โ”‚ 1839โ”‚86.6%โ”‚  193โ”‚ 9.1%โ”‚265.00โ”‚12.5%โ”‚   92โ”‚4.3%โ”‚  285โ”‚13.4%โ”‚ 2124โ”‚100.0%โ”‚
+โ”‚                               likely    โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚                               Somewhat  โ”‚  278โ”‚26.6%โ”‚  647โ”‚61.8%โ”‚  925โ”‚88.3%โ”‚   84โ”‚ 8.0%โ”‚116.00โ”‚11.1%โ”‚   38โ”‚3.6%โ”‚  122โ”‚11.7%โ”‚ 1047โ”‚100.0%โ”‚
+โ”‚                               unlikely  โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ”‚                               Very      โ”‚  141โ”‚28.5%โ”‚  290โ”‚58.7%โ”‚  431โ”‚87.2%โ”‚   41โ”‚ 8.3%โ”‚ 59.00โ”‚11.9%โ”‚   22โ”‚4.5%โ”‚   63โ”‚12.8%โ”‚  494โ”‚100.0%โ”‚
+โ”‚                               unlikely  โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚     โ”‚      โ”‚     โ”‚     โ”‚    โ”‚     โ”‚     โ”‚     โ”‚      โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES PCOMPUTE - OTHERNM and MISSING])
+AT_KEYWORDS([postcompute])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /PCOMPUTE &x=EXPR(OTHERNM)
+    /PCOMPUTE &y=EXPR(MISSING)
+    /PPROPERTIES &x LABEL='Drivers'
+    /PPROPERTIES &y LABEL='Missing Values 2'
+    /TABLE=qn1 BY qns3a
+    /CATEGORIES VARIABLES=qn1 [OTHERNM, 5, &x, SUBTOTAL='Valid Values', MISSING, SUBTOTAL='Missing Values', &y]
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=140], [0], [dnl
+                                              Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                                          โ”‚S3a. GENDER:โ”‚
+โ”‚                                                                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                                          โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                                                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                                          โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ 1. How often do you usually drive a car or other motor vehicle? Every day                โ”‚ 2305โ”‚  2362โ”‚
+โ”‚                                                                 Several days a week      โ”‚  440โ”‚   834โ”‚
+โ”‚                                                                 Once a week or less      โ”‚  125โ”‚   236โ”‚
+โ”‚                                                                 Only certain times a yearโ”‚   58โ”‚    72โ”‚
+โ”‚                                                                 Never                    โ”‚  192โ”‚   348โ”‚
+โ”‚                                                                 Drivers                  โ”‚ 2928โ”‚  3504โ”‚
+โ”‚                                                                 Valid Values             โ”‚ 3120โ”‚  3852โ”‚
+โ”‚                                                                 Don't know               โ”‚    3โ”‚     5โ”‚
+โ”‚                                                                 Refused                  โ”‚    9โ”‚    10โ”‚
+โ”‚                                                                 Missing Values           โ”‚   12โ”‚    15โ”‚
+โ”‚                                                                 Missing Values 2         โ”‚   12โ”‚    15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES PCOMPUTE - THRU])
+AT_KEYWORDS([postcompute])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /PCOMPUTE &x=EXPR([1 THRU 2])
+    /PCOMPUTE &y=EXPR([3 THRU 4])
+    /PCOMPUTE &z=EXPR([5] + MISSING)
+    /PPROPERTIES &x LABEL='Frequent Drivers'
+    /PPROPERTIES &y LABEL='Infrequent Drivers'
+    /PPROPERTIES &z LABEL='Not Drivers or Missing'
+    /TABLE=qn1 BY qns3a
+    /CATEGORIES VARIABLES=qn1 [1 THRU 2, &x, 3 THRU 4, &y, SUBTOTAL='Drivers', 5, MISSING, &z]
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=140], [0], [dnl
+                                              Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                                          โ”‚S3a. GENDER:โ”‚
+โ”‚                                                                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                                          โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                                                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                                          โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ 1. How often do you usually drive a car or other motor vehicle? Every day                โ”‚ 2305โ”‚  2362โ”‚
+โ”‚                                                                 Several days a week      โ”‚  440โ”‚   834โ”‚
+โ”‚                                                                 Frequent Drivers         โ”‚ 2745โ”‚  3196โ”‚
+โ”‚                                                                 Once a week or less      โ”‚  125โ”‚   236โ”‚
+โ”‚                                                                 Only certain times a yearโ”‚   58โ”‚    72โ”‚
+โ”‚                                                                 Infrequent Drivers       โ”‚  183โ”‚   308โ”‚
+โ”‚                                                                 Drivers                  โ”‚ 2928โ”‚  3504โ”‚
+โ”‚                                                                 Never                    โ”‚  192โ”‚   348โ”‚
+โ”‚                                                                 Don't know               โ”‚    3โ”‚     5โ”‚
+โ”‚                                                                 Refused                  โ”‚    9โ”‚    10โ”‚
+โ”‚                                                                 Not Drivers or Missing   โ”‚  204โ”‚   363โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+dnl I'm not sure that this is the correct behavior (see
+dnl https://mail.gnu.org/archive/html/pspp-users/2022-07/msg00002.html)
+dnl but at least this test will notify us if the behavior changes.
+AT_SETUP([CTABLES intersecting PCOMPUTEs])
+AT_KEYWORDS([PCOMPUTE postcompute])
+AT_DATA([ctables.sps],
+[[DATA LIST LIST NOTABLE/x y z.
+WEIGHT by z.
+FORMATS ALL (F1.0).
+VARIABLE LEVEL x y (NOMINAL).
+BEGIN DATA.
+1 4 5
+1 5 2
+1 6 9
+2 4 2
+2 5 3
+2 6 4
+3 4 1
+3 5 6
+3 6 1
+END DATA.
+
+CTABLES
+    /PCOMPUTE &a = EXPR([1] + [2])
+    /PCOMPUTE &b = EXPR([2] + [3])
+    /PCOMPUTE &c = EXPR([4] * [5])
+    /PCOMPUTE &d = EXPR([5] * [6])
+    /TABLE x BY y
+    /CATEGORIES VARIABLES=x [1, &a, 2, &b, 3]
+    /CATEGORIES VARIABLES=y [4, &c, 5, &d, 6].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0],
+[[                   Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚           โ”‚                  y                  โ”‚
+โ”‚           โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚           โ”‚  4  โ”‚[4] * [5]โ”‚  5  โ”‚[5] * [6]โ”‚  6  โ”‚
+โ”‚           โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚           โ”‚Countโ”‚  Count  โ”‚Countโ”‚  Count  โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚x 1        โ”‚    5โ”‚       10โ”‚    2โ”‚       18โ”‚    9โ”‚
+โ”‚  [1] + [2]โ”‚    7โ”‚        .โ”‚    5โ”‚        .โ”‚   13โ”‚
+โ”‚  2        โ”‚    2โ”‚        6โ”‚    3โ”‚       12โ”‚    4โ”‚
+โ”‚  [2] + [3]โ”‚    3โ”‚        .โ”‚    9โ”‚        .โ”‚    5โ”‚
+โ”‚  3        โ”‚    1โ”‚        6โ”‚    6โ”‚        6โ”‚    1โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+]])
+AT_CLEANUP
+
+AT_SETUP([CTABLES string and date and time])
+
+weight=1
+for gender in F M; do
+    for month in Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; do
+        for wkday in Sun Mon Tue Wed Thu Fri Sat Sun; do
+           printf "$weight $gender $month $wkday\n"
+           weight=$(expr \( $weight + 3 \) % 7 + 2)
+       done
+    done
+done > ctables.txt
+
+AT_DATA([ctables.sps],
+[[DATA LIST LIST NOTABLE FILE='ctables.txt'
+    /w (F5.0) gender (A1) fmon (MONTH3) fday (WKDAY3).
+WEIGHT by w.
+VARIABLE LEVEL w (SCALE).
+VARIABLE LEVEL gender fmon fday (NOMINAL).
+VARIABLE LABEL
+  gender 'Gender'
+  fmon 'Favorite month'
+  fday 'Favorite day of the week'.
+VALUE LABELS /gender 'M' 'Male' 'F' 'Female'.
+CTABLES
+    /PCOMPUTE &q2 = EXPR(['APR' THRU 'June'])
+    /PPROPERTIES &q2 LABEL='Q2'
+    /PCOMPUTE &weekend = EXPR(['sun'] + ['Sat'])
+    /PPROPERTIES &weekend LABEL='Weekend'
+    /TABLE fmon BY gender > fday
+    /CATEGORIES VARIABLES=fmon ['JAN', 'FEB', 'Mar', SUBTOTAL="Q1",
+                                4 THRU 6, &q2,
+                               'JUL' THRU 'sep', SUBTOTAL="Q3",
+                               OTHERNM, SUBTOTAL='Q4']
+    /CATEGORIES VARIABLES=gender ['M', 'F']
+    /CATEGORIES VARIABLE=fday ['Sun', 2 THRU 6, 'Sat', &weekend] TOTAL=YES
+    /SLABELS VISIBLE=NO.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+                                              Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                  โ”‚                                       Gender                                      โ”‚
+โ”‚                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                  โ”‚                   Male                  โ”‚                  Female                 โ”‚
+โ”‚                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                  โ”‚         Favorite day of the week        โ”‚         Favorite day of the week        โ”‚
+โ”‚                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                  โ”‚SUNโ”‚MONโ”‚TUEโ”‚WEDโ”‚THUโ”‚FRIโ”‚SATโ”‚Weekendโ”‚Totalโ”‚SUNโ”‚MONโ”‚TUEโ”‚WEDโ”‚THUโ”‚FRIโ”‚SATโ”‚Weekendโ”‚Totalโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Favorite month JANโ”‚ 10โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚     17โ”‚   40โ”‚  9โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚     12โ”‚   36โ”‚
+โ”‚               FEBโ”‚  6โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚     11โ”‚   38โ”‚ 12โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚     20โ”‚   41โ”‚
+โ”‚               MARโ”‚ 16โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚     19โ”‚   43โ”‚  8โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚     14โ”‚   39โ”‚
+โ”‚               Q1 โ”‚ 32โ”‚ 17โ”‚ 18โ”‚ 12โ”‚ 13โ”‚ 14โ”‚ 15โ”‚       โ”‚     โ”‚ 29โ”‚ 12โ”‚ 13โ”‚ 14โ”‚ 15โ”‚ 16โ”‚ 17โ”‚       โ”‚     โ”‚
+โ”‚               APRโ”‚ 12โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚     20โ”‚   41โ”‚  4โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚      8โ”‚   37โ”‚
+โ”‚               MAYโ”‚  8โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚     14โ”‚   39โ”‚ 14โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚     16โ”‚   42โ”‚
+โ”‚               JUNโ”‚  4โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚      8โ”‚   37โ”‚ 10โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚     17โ”‚   40โ”‚
+โ”‚               Q2 โ”‚ 24โ”‚ 13โ”‚ 14โ”‚ 15โ”‚ 16โ”‚ 17โ”‚ 18โ”‚      .โ”‚     โ”‚ 28โ”‚ 15โ”‚ 16โ”‚ 17โ”‚ 18โ”‚ 12โ”‚ 13โ”‚      .โ”‚     โ”‚
+โ”‚               JULโ”‚ 14โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚     16โ”‚   42โ”‚  6โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚     11โ”‚   38โ”‚
+โ”‚               AUGโ”‚ 10โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚     17โ”‚   40โ”‚ 16โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚     19โ”‚   43โ”‚
+โ”‚               SEPโ”‚  6โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚     11โ”‚   38โ”‚ 12โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚     20โ”‚   41โ”‚
+โ”‚               Q3 โ”‚ 54โ”‚ 29โ”‚ 31โ”‚ 33โ”‚ 28โ”‚ 30โ”‚ 32โ”‚       โ”‚     โ”‚ 62โ”‚ 33โ”‚ 28โ”‚ 30โ”‚ 32โ”‚ 27โ”‚ 29โ”‚       โ”‚     โ”‚
+โ”‚               OCTโ”‚ 16โ”‚  6โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚     19โ”‚   43โ”‚  8โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚     14โ”‚   39โ”‚
+โ”‚               NOVโ”‚ 12โ”‚  4โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚     20โ”‚   41โ”‚  4โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚      8โ”‚   37โ”‚
+โ”‚               DECโ”‚  8โ”‚  2โ”‚  7โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚     14โ”‚   39โ”‚ 14โ”‚  5โ”‚  3โ”‚  8โ”‚  6โ”‚  4โ”‚  2โ”‚     16โ”‚   42โ”‚
+โ”‚               Q4 โ”‚ 36โ”‚ 12โ”‚ 13โ”‚ 14โ”‚ 15โ”‚ 16โ”‚ 17โ”‚       โ”‚     โ”‚ 26โ”‚ 14โ”‚ 15โ”‚ 16โ”‚ 17โ”‚ 18โ”‚ 12โ”‚       โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES CLABELS])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE AgeGroup BY qns3a.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=LAYER.
+CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=LAYER.
+]])
+AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
+             Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                       โ”‚S3a. GENDER:โ”‚
+โ”‚                       โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                       โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                       โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                       โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age group 15 or youngerโ”‚    0โ”‚     0โ”‚
+โ”‚          16 to 25     โ”‚  594โ”‚   505โ”‚
+โ”‚          26 to 35     โ”‚  476โ”‚   491โ”‚
+โ”‚          36 to 45     โ”‚  489โ”‚   548โ”‚
+โ”‚          46 to 55     โ”‚  526โ”‚   649โ”‚
+โ”‚          56 to 65     โ”‚  516โ”‚   731โ”‚
+โ”‚          66 or older  โ”‚  531โ”‚   943โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                                      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚       โ”‚                                                 S3a. GENDER:                                                 โ”‚
+โ”‚       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       โ”‚                         Male                         โ”‚                         Female                        โ”‚
+โ”‚       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       โ”‚  15 or  โ”‚ 16 to โ”‚ 26 toโ”‚ 36 toโ”‚ 46 toโ”‚ 56 to โ”‚ 66 or โ”‚   15 or  โ”‚ 16 toโ”‚ 26 to โ”‚ 36 toโ”‚ 46 toโ”‚ 56 toโ”‚  66 or โ”‚
+โ”‚       โ”‚ younger โ”‚   25  โ”‚  35  โ”‚  45  โ”‚  55  โ”‚   65  โ”‚ older โ”‚  younger โ”‚  25  โ”‚   35  โ”‚  45  โ”‚  55  โ”‚  65  โ”‚  older โ”‚
+โ”‚       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       โ”‚  Count  โ”‚ Count โ”‚ Countโ”‚ Countโ”‚ Countโ”‚ Count โ”‚ Count โ”‚   Count  โ”‚ Countโ”‚ Count โ”‚ Countโ”‚ Countโ”‚ Countโ”‚  Count โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age    โ”‚        0โ”‚    594โ”‚   476โ”‚   489โ”‚   526โ”‚    516โ”‚    531โ”‚         0โ”‚   505โ”‚    491โ”‚   548โ”‚   649โ”‚   731โ”‚     943โ”‚
+โ”‚group  โ”‚         โ”‚       โ”‚      โ”‚      โ”‚      โ”‚       โ”‚       โ”‚          โ”‚      โ”‚       โ”‚      โ”‚      โ”‚      โ”‚        โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                              โ”‚S3a. GENDER:โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                              โ”‚    Count   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age group 15 or younger Male  โ”‚           0โ”‚
+โ”‚                        Femaleโ”‚           0โ”‚
+โ”‚         โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚          16 to 25      Male  โ”‚         594โ”‚
+โ”‚                        Femaleโ”‚         505โ”‚
+โ”‚         โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚          26 to 35      Male  โ”‚         476โ”‚
+โ”‚                        Femaleโ”‚         491โ”‚
+โ”‚         โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚          36 to 45      Male  โ”‚         489โ”‚
+โ”‚                        Femaleโ”‚         548โ”‚
+โ”‚         โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚          46 to 55      Male  โ”‚         526โ”‚
+โ”‚                        Femaleโ”‚         649โ”‚
+โ”‚         โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚          56 to 65      Male  โ”‚         516โ”‚
+โ”‚                        Femaleโ”‚         731โ”‚
+โ”‚         โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚          66 or older   Male  โ”‚         531โ”‚
+โ”‚                        Femaleโ”‚         943โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+15 or younger
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚    0โ”‚     0โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+16 to 25
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚  594โ”‚   505โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+26 to 35
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚  476โ”‚   491โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+36 to 45
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚  489โ”‚   548โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+46 to 55
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚  526โ”‚   649โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+56 to 65
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚  516โ”‚   731โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+66 or older
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚S3a. GENDER:โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age groupโ”‚  531โ”‚   943โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+             Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                       โ”‚S3a. GENDER:โ”‚
+โ”‚                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                       โ”‚    Count   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age group 15 or youngerโ”‚           0โ”‚
+โ”‚          16 to 25     โ”‚         594โ”‚
+โ”‚          26 to 35     โ”‚         476โ”‚
+โ”‚          36 to 45     โ”‚         489โ”‚
+โ”‚          46 to 55     โ”‚         526โ”‚
+โ”‚          56 to 65     โ”‚         516โ”‚
+โ”‚          66 or older  โ”‚         531โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+             Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                       โ”‚S3a. GENDER:โ”‚
+โ”‚                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                       โ”‚    Count   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Age group 15 or youngerโ”‚           0โ”‚
+โ”‚          16 to 25     โ”‚         505โ”‚
+โ”‚          26 to 35     โ”‚         491โ”‚
+โ”‚          36 to 45     โ”‚         548โ”‚
+โ”‚          46 to 55     โ”‚         649โ”‚
+โ”‚          56 to 65     โ”‚         731โ”‚
+โ”‚          66 or older  โ”‚         943โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES missing values])
+AT_DATA([ctables.sps],
+[[DATA LIST LIST NOTABLE/x y.
+BEGIN DATA.
+1 1
+1 2
+1 3
+1 4
+1 5
+1 .
+2 1
+2 2
+2 3
+2 4
+2 5
+2 .
+3 1
+3 2
+3 3
+3 4
+3 5
+3 .
+4 1
+4 2
+4 3
+4 4
+4 5
+4 .
+5 1
+5 2
+5 3
+5 4
+5 5
+5 .
+. 1
+. 2
+. 3
+. 4
+. 5
+. .
+END DATA.
+MISSING VALUES x (1, 2) y (2, 3).
+VARIABLE LEVEL ALL (NOMINAL).
+
+CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN,
+                 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
+    /CATEGORIES VARIABLES=ALL TOTAL=YES.
+CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN,
+                 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
+    /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
+CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
+                      TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
+    /CATEGORIES VARIABLES=ALL TOTAL=YES
+    /SLABELS POSITION=ROW.
+CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
+                      TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
+    /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE
+    /SLABELS POSITION=ROW.
+CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
+                      TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
+    /CATEGORIES VARIABLES=x [1, 2, 3, 4] TOTAL=YES 
+    /CATEGORIES VARIABLES=y [1, 3, 4, 5] TOTAL=YES 
+    /SLABELS POSITION=ROW.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+                               Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚       โ”‚Countโ”‚Column %โ”‚Column Valid N %โ”‚Column Total N %โ”‚Valid Nโ”‚Total Nโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚x 3.00 โ”‚    6โ”‚   33.3%โ”‚           33.3%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  4.00 โ”‚    6โ”‚   33.3%โ”‚           33.3%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  5.00 โ”‚    6โ”‚   33.3%โ”‚           33.3%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  Totalโ”‚   18โ”‚  100.0%โ”‚          100.0%โ”‚          100.0%โ”‚     18โ”‚     36โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+dnl Note that Column Total N % doesn't add up to 100 because missing
+dnl values are included in the total but not shown as a category and this
+dnl is expected behavior.
+
+                               Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚       โ”‚Countโ”‚Column %โ”‚Column Valid N %โ”‚Column Total N %โ”‚Valid Nโ”‚Total Nโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚x 1.00 โ”‚    6โ”‚   20.0%โ”‚             .0%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  2.00 โ”‚    6โ”‚   20.0%โ”‚             .0%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  3.00 โ”‚    6โ”‚   20.0%โ”‚           33.3%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  4.00 โ”‚    6โ”‚   20.0%โ”‚           33.3%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  5.00 โ”‚    6โ”‚   20.0%โ”‚           33.3%โ”‚           16.7%โ”‚       โ”‚       โ”‚
+โ”‚  Totalโ”‚   30โ”‚  100.0%โ”‚          100.0%โ”‚          100.0%โ”‚     18โ”‚     36โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+dnl Note that Column Total N % doesn't add up to 100 because system-missing
+dnl values are included in the total but not shown as a category and this
+dnl is expected behavior.
+
+                     Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                        โ”‚             y             โ”‚
+โ”‚                        โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                        โ”‚ 1.00 โ”‚ 4.00 โ”‚ 5.00 โ”‚ Totalโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚x 3.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     3โ”‚
+โ”‚        Column %        โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  4.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     3โ”‚
+โ”‚        Column %        โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  5.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     3โ”‚
+โ”‚        Column %        โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  Total Count           โ”‚     3โ”‚     3โ”‚     3โ”‚     9โ”‚
+โ”‚        Column %        โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Row Valid N %   โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Row Total N %   โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Valid N         โ”‚     3โ”‚     3โ”‚     3โ”‚     9โ”‚
+โ”‚        Total N         โ”‚     3โ”‚     3โ”‚     3โ”‚    18โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                            Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                        โ”‚                    y                    โ”‚
+โ”‚                        โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                        โ”‚ 1.00 โ”‚ 2.00 โ”‚ 3.00 โ”‚ 4.00 โ”‚ 5.00 โ”‚ Totalโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚x 1.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     5โ”‚
+โ”‚        Column %        โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 20.0%โ”‚     .โ”‚     .โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  2.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     5โ”‚
+โ”‚        Column %        โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 20.0%โ”‚     .โ”‚     .โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  3.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     5โ”‚
+โ”‚        Column %        โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 20.0%โ”‚     .โ”‚     .โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  4.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     5โ”‚
+โ”‚        Column %        โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 20.0%โ”‚     .โ”‚     .โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  5.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     5โ”‚
+โ”‚        Column %        โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 20.0%โ”‚     .โ”‚     .โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚ 20.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  Total Count           โ”‚     5โ”‚     5โ”‚     5โ”‚     5โ”‚     5โ”‚    25โ”‚
+โ”‚        Column %        โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚100.0%โ”‚     .โ”‚     .โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Row Valid N %   โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Row Total N %   โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Valid N         โ”‚     5โ”‚     0โ”‚     0โ”‚     5โ”‚     5โ”‚    15โ”‚
+โ”‚        Total N         โ”‚     5โ”‚     5โ”‚     5โ”‚     5โ”‚     5โ”‚    30โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                        โ”‚                 y                โ”‚
+โ”‚                        โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                        โ”‚ 1.00 โ”‚ 3.00 โ”‚ 4.00 โ”‚ 5.00 โ”‚ Totalโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚x 1.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     4โ”‚
+โ”‚        Column %        โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 25.0%โ”‚     .โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  2.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     4โ”‚
+โ”‚        Column %        โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 25.0%โ”‚     .โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  3.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     4โ”‚
+โ”‚        Column %        โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 25.0%โ”‚     .โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  4.00  Count           โ”‚     1โ”‚     1โ”‚     1โ”‚     1โ”‚     4โ”‚
+โ”‚        Column %        โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚ 25.0%โ”‚     .โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚ 25.0%โ”‚100.0%โ”‚
+โ”‚        Row Valid N %   โ”‚ 33.3%โ”‚   .0%โ”‚ 33.3%โ”‚ 33.3%โ”‚100.0%โ”‚
+โ”‚        Row Total N %   โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚ 16.7%โ”‚100.0%โ”‚
+โ”‚        Valid N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     3โ”‚
+โ”‚        Total N         โ”‚      โ”‚      โ”‚      โ”‚      โ”‚     6โ”‚
+โ”‚ โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚  Total Count           โ”‚     4โ”‚     4โ”‚     4โ”‚     4โ”‚    16โ”‚
+โ”‚        Column %        โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Column Valid N %โ”‚100.0%โ”‚     .โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Column Total N %โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚100.0%โ”‚     .โ”‚
+โ”‚        Row %           โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Row Valid N %   โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Row Total N %   โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚     .โ”‚
+โ”‚        Valid N         โ”‚     4โ”‚     0โ”‚     4โ”‚     4โ”‚    12โ”‚
+โ”‚        Total N         โ”‚     4โ”‚     4โ”‚     4โ”‚     4โ”‚    24โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES SMISSING=LISTWISE])
+AT_KEYWORDS([SMISSING LISTWISE])
+AT_DATA([ctables.sps],
+[[DATA LIST LIST NOTABLE/x y z.
+BEGIN DATA.
+1  . 40
+1 10 50
+1 20 60
+1  .  .
+1 30  .
+END DATA.
+VARIABLE LEVEL x (NOMINAL).
+
+CTABLES /TABLE (y + z) > x.
+CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
+
+* The following doesn't come out as listwise because the tables are
+separate, not linked by an > operator.
+CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚        โ”‚ Meanโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚y x 1.00โ”‚20.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚z x 1.00โ”‚50.00โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚        โ”‚ Meanโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚y x 1.00โ”‚15.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚z x 1.00โ”‚55.00โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚        โ”‚ Meanโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚y x 1.00โ”‚20.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚z x 1.00โ”‚50.00โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES VLABELS - variables on different axes])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=DEFAULT /TABLE qnd5a BY qns3a.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NAME    /TABLE qnd5a BY qns3a.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=LABEL   /TABLE qnd5a BY qns3a.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=BOTH    /TABLE qnd5a BY qns3a.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NONE    /TABLE qnd5a BY qns3a.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                โ”‚S3a. GENDER:โ”‚
+โ”‚                                                                โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                                                โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary    Cuban                โ”‚   13โ”‚     7โ”‚
+โ”‚ethnic background?                         Mexican              โ”‚  175โ”‚   136โ”‚
+โ”‚                                           Spanish              โ”‚   20โ”‚    28โ”‚
+โ”‚                                           South American       โ”‚   21โ”‚    13โ”‚
+โ”‚                                           Central American     โ”‚   27โ”‚    25โ”‚
+โ”‚                                           Puerto Rican, OR     โ”‚   37โ”‚    41โ”‚
+โ”‚                                           Something else       โ”‚   35โ”‚    33โ”‚
+โ”‚                                           Multiple - cannot    โ”‚    2โ”‚     5โ”‚
+โ”‚                                           choose one           โ”‚     โ”‚      โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚    QNS3A   โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚QND5A Cuban                       โ”‚   13โ”‚     7โ”‚
+โ”‚      Mexican                     โ”‚  175โ”‚   136โ”‚
+โ”‚      Spanish                     โ”‚   20โ”‚    28โ”‚
+โ”‚      South American              โ”‚   21โ”‚    13โ”‚
+โ”‚      Central American            โ”‚   27โ”‚    25โ”‚
+โ”‚      Puerto Rican, OR            โ”‚   37โ”‚    41โ”‚
+โ”‚      Something else              โ”‚   35โ”‚    33โ”‚
+โ”‚      Multiple - cannot choose oneโ”‚    2โ”‚     5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                โ”‚S3a. GENDER:โ”‚
+โ”‚                                                                โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                                                โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary    Cuban                โ”‚   13โ”‚     7โ”‚
+โ”‚ethnic background?                         Mexican              โ”‚  175โ”‚   136โ”‚
+โ”‚                                           Spanish              โ”‚   20โ”‚    28โ”‚
+โ”‚                                           South American       โ”‚   21โ”‚    13โ”‚
+โ”‚                                           Central American     โ”‚   27โ”‚    25โ”‚
+โ”‚                                           Puerto Rican, OR     โ”‚   37โ”‚    41โ”‚
+โ”‚                                           Something else       โ”‚   35โ”‚    33โ”‚
+โ”‚                                           Multiple - cannot    โ”‚    2โ”‚     5โ”‚
+โ”‚                                           choose one           โ”‚     โ”‚      โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                            โ”‚   QNS3A S3a.   โ”‚
+โ”‚                                                            โ”‚     GENDER:    โ”‚
+โ”‚                                                            โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                            โ”‚  Male โ”‚ Female โ”‚
+โ”‚                                                            โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                            โ”‚ Count โ”‚  Count โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚QND5A D5a. What would you say is your    Cuban              โ”‚     13โ”‚       7โ”‚
+โ”‚primary ethnic background?               Mexican            โ”‚    175โ”‚     136โ”‚
+โ”‚                                         Spanish            โ”‚     20โ”‚      28โ”‚
+โ”‚                                         South American     โ”‚     21โ”‚      13โ”‚
+โ”‚                                         Central American   โ”‚     27โ”‚      25โ”‚
+โ”‚                                         Puerto Rican, OR   โ”‚     37โ”‚      41โ”‚
+โ”‚                                         Something else     โ”‚     35โ”‚      33โ”‚
+โ”‚                                         Multiple - cannot  โ”‚      2โ”‚       5โ”‚
+โ”‚                                         choose one         โ”‚       โ”‚        โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+               Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                            โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                            โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                            โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Cuban                       โ”‚   13โ”‚     7โ”‚
+โ”‚Mexican                     โ”‚  175โ”‚   136โ”‚
+โ”‚Spanish                     โ”‚   20โ”‚    28โ”‚
+โ”‚South American              โ”‚   21โ”‚    13โ”‚
+โ”‚Central American            โ”‚   27โ”‚    25โ”‚
+โ”‚Puerto Rican, OR            โ”‚   37โ”‚    41โ”‚
+โ”‚Something else              โ”‚   35โ”‚    33โ”‚
+โ”‚Multiple - cannot choose oneโ”‚    2โ”‚     5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES VLABELS - stacked variables])
+AT_KEYWORDS([stack stacking])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /VLABELS VARIABLES=qns3a DISPLAY=NAME /TABLE qnd5a + qns3a.
+CTABLES /VLABELS VARIABLES=qnd5a DISPLAY=NAME /TABLE qnd5a + qns3a.
+CTABLES /VLABELS VARIABLES=qns3a DISPLAY=NONE /TABLE qnd5a + qns3a.
+CTABLES /VLABELS VARIABLES=qnd5a DISPLAY=NONE /TABLE qnd5a + qns3a.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NONE /TABLE qnd5a + qns3a.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                       โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary ethnic  Cuban                  โ”‚   20โ”‚
+โ”‚background?                                     Mexican                โ”‚  311โ”‚
+โ”‚                                                Spanish                โ”‚   48โ”‚
+โ”‚                                                South American         โ”‚   34โ”‚
+โ”‚                                                Central American       โ”‚   52โ”‚
+โ”‚                                                Puerto Rican, OR       โ”‚   78โ”‚
+โ”‚                                                Something else         โ”‚   68โ”‚
+โ”‚                                                Multiple - cannot      โ”‚    7โ”‚
+โ”‚                                                choose one             โ”‚     โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚QNS3A                                           Male                   โ”‚ 3132โ”‚
+โ”‚                                                Female                 โ”‚ 3867โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                         โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚QND5A        Cuban                       โ”‚   20โ”‚
+โ”‚             Mexican                     โ”‚  311โ”‚
+โ”‚             Spanish                     โ”‚   48โ”‚
+โ”‚             South American              โ”‚   34โ”‚
+โ”‚             Central American            โ”‚   52โ”‚
+โ”‚             Puerto Rican, OR            โ”‚   78โ”‚
+โ”‚             Something else              โ”‚   68โ”‚
+โ”‚             Multiple - cannot choose oneโ”‚    7โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a. GENDER: Male                        โ”‚ 3132โ”‚
+โ”‚             Female                      โ”‚ 3867โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                       โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary ethnic  Cuban                  โ”‚   20โ”‚
+โ”‚background?                                     Mexican                โ”‚  311โ”‚
+โ”‚                                                Spanish                โ”‚   48โ”‚
+โ”‚                                                South American         โ”‚   34โ”‚
+โ”‚                                                Central American       โ”‚   52โ”‚
+โ”‚                                                Puerto Rican, OR       โ”‚   78โ”‚
+โ”‚                                                Something else         โ”‚   68โ”‚
+โ”‚                                                Multiple - cannot      โ”‚    7โ”‚
+โ”‚                                                choose one             โ”‚     โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Male                                                                   โ”‚ 3132โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Female                                                                 โ”‚ 3867โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+            Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                             โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Cuban                        โ”‚   20โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mexican                      โ”‚  311โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Spanish                      โ”‚   48โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚South American               โ”‚   34โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Central American             โ”‚   52โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Puerto Rican, OR             โ”‚   78โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Something else               โ”‚   68โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Multiple - cannot choose one โ”‚    7โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a. GENDER:     Male        โ”‚ 3132โ”‚
+โ”‚                 Female      โ”‚ 3867โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+            Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                            โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Cuban                       โ”‚   20โ”‚
+โ”‚Mexican                     โ”‚  311โ”‚
+โ”‚Spanish                     โ”‚   48โ”‚
+โ”‚South American              โ”‚   34โ”‚
+โ”‚Central American            โ”‚   52โ”‚
+โ”‚Puerto Rican, OR            โ”‚   78โ”‚
+โ”‚Something else              โ”‚   68โ”‚
+โ”‚Multiple - cannot choose oneโ”‚    7โ”‚
+โ”‚Male                        โ”‚ 3132โ”‚
+โ”‚Female                      โ”‚ 3867โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES VLABELS - nested variables])
+AT_KEYWORDS([nest nesting])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /VLABELS VARIABLES=qns3a DISPLAY=NAME /TABLE qnd5a > qns3a.
+CTABLES /VLABELS VARIABLES=qnd5a DISPLAY=NAME /TABLE qnd5a > qns3a.
+CTABLES /VLABELS VARIABLES=qns3a DISPLAY=NONE /TABLE qnd5a > qns3a.
+CTABLES /VLABELS VARIABLES=qnd5a DISPLAY=NONE /TABLE qnd5a > qns3a.
+CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NONE /TABLE qnd5a > qns3a.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                       โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your       Cuban                QNS3A Male  โ”‚   13โ”‚
+โ”‚primary ethnic background?                                       Femaleโ”‚    7โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      Mexican              QNS3A Male  โ”‚  175โ”‚
+โ”‚                                                                 Femaleโ”‚  136โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      Spanish              QNS3A Male  โ”‚   20โ”‚
+โ”‚                                                                 Femaleโ”‚   28โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      South American       QNS3A Male  โ”‚   21โ”‚
+โ”‚                                                                 Femaleโ”‚   13โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      Central American     QNS3A Male  โ”‚   27โ”‚
+โ”‚                                                                 Femaleโ”‚   25โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      Puerto Rican, OR     QNS3A Male  โ”‚   37โ”‚
+โ”‚                                                                 Femaleโ”‚   41โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      Something else       QNS3A Male  โ”‚   35โ”‚
+โ”‚                                                                 Femaleโ”‚   33โ”‚
+โ”‚                                     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      Multiple - cannot    QNS3A Male  โ”‚    2โ”‚
+โ”‚                                      choose one                 Femaleโ”‚    5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                         Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                      โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚QND5A Cuban                        S3a. GENDER: Male  โ”‚   13โ”‚
+โ”‚                                                Femaleโ”‚    7โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      Mexican                      S3a. GENDER: Male  โ”‚  175โ”‚
+โ”‚                                                Femaleโ”‚  136โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      Spanish                      S3a. GENDER: Male  โ”‚   20โ”‚
+โ”‚                                                Femaleโ”‚   28โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      South American               S3a. GENDER: Male  โ”‚   21โ”‚
+โ”‚                                                Femaleโ”‚   13โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      Central American             S3a. GENDER: Male  โ”‚   27โ”‚
+โ”‚                                                Femaleโ”‚   25โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      Puerto Rican, OR             S3a. GENDER: Male  โ”‚   37โ”‚
+โ”‚                                                Femaleโ”‚   41โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      Something else               S3a. GENDER: Male  โ”‚   35โ”‚
+โ”‚                                                Femaleโ”‚   33โ”‚
+โ”‚     โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚      Multiple - cannot choose one S3a. GENDER: Male  โ”‚    2โ”‚
+โ”‚                                                Femaleโ”‚    5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                       โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is your primary    Cuban                 Male  โ”‚   13โ”‚
+โ”‚ethnic background?                                               Femaleโ”‚    7โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           Mexican               Male  โ”‚  175โ”‚
+โ”‚                                                                 Femaleโ”‚  136โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           Spanish               Male  โ”‚   20โ”‚
+โ”‚                                                                 Femaleโ”‚   28โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           South American        Male  โ”‚   21โ”‚
+โ”‚                                                                 Femaleโ”‚   13โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           Central American      Male  โ”‚   27โ”‚
+โ”‚                                                                 Femaleโ”‚   25โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           Puerto Rican, OR      Male  โ”‚   37โ”‚
+โ”‚                                                                 Femaleโ”‚   41โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           Something else        Male  โ”‚   35โ”‚
+โ”‚                                                                 Femaleโ”‚   33โ”‚
+โ”‚                                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           Multiple - cannot     Male  โ”‚    2โ”‚
+โ”‚                                           choose one            Femaleโ”‚    5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Cuban                        S3a. GENDER: Male  โ”‚   13โ”‚
+โ”‚                                          Femaleโ”‚    7โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mexican                      S3a. GENDER: Male  โ”‚  175โ”‚
+โ”‚                                          Femaleโ”‚  136โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Spanish                      S3a. GENDER: Male  โ”‚   20โ”‚
+โ”‚                                          Femaleโ”‚   28โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚South American               S3a. GENDER: Male  โ”‚   21โ”‚
+โ”‚                                          Femaleโ”‚   13โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Central American             S3a. GENDER: Male  โ”‚   27โ”‚
+โ”‚                                          Femaleโ”‚   25โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Puerto Rican, OR             S3a. GENDER: Male  โ”‚   37โ”‚
+โ”‚                                          Femaleโ”‚   41โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Something else               S3a. GENDER: Male  โ”‚   35โ”‚
+โ”‚                                          Femaleโ”‚   33โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Multiple - cannot choose one S3a. GENDER: Male  โ”‚    2โ”‚
+โ”‚                                          Femaleโ”‚    5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+               Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Cuban                        Male  โ”‚   13โ”‚
+โ”‚                             Femaleโ”‚    7โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mexican                      Male  โ”‚  175โ”‚
+โ”‚                             Femaleโ”‚  136โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Spanish                      Male  โ”‚   20โ”‚
+โ”‚                             Femaleโ”‚   28โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚South American               Male  โ”‚   21โ”‚
+โ”‚                             Femaleโ”‚   13โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Central American             Male  โ”‚   27โ”‚
+โ”‚                             Femaleโ”‚   25โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Puerto Rican, OR             Male  โ”‚   37โ”‚
+โ”‚                             Femaleโ”‚   41โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Something else               Male  โ”‚   35โ”‚
+โ”‚                             Femaleโ”‚   33โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Multiple - cannot choose one Male  โ”‚    2โ”‚
+โ”‚                             Femaleโ”‚    5โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES FORMAT EMPTY])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /FORMAT EMPTY=ZERO /TABLE qnd5a BY qnd5.
+CTABLES /FORMAT EMPTY=BLANK /TABLE qnd5a BY qnd5.
+CTABLES /FORMAT EMPTY='n/a' /TABLE qnd5a BY qnd5.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                             โ”‚   D5. ETHNICITY: Are you of   โ”‚
+โ”‚                                             โ”‚  Hispanic or Latino origin or โ”‚
+โ”‚                                             โ”‚            descent?           โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚      Yes      โ”‚       No      โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚     Count     โ”‚     Count     โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is   Cuban           โ”‚             20โ”‚              0โ”‚
+โ”‚your primary ethnic          Mexican         โ”‚            311โ”‚              0โ”‚
+โ”‚background?                  Spanish         โ”‚             48โ”‚              0โ”‚
+โ”‚                             South American  โ”‚             34โ”‚              0โ”‚
+โ”‚                             Central Americanโ”‚             52โ”‚              0โ”‚
+โ”‚                             Puerto Rican, ORโ”‚             78โ”‚              0โ”‚
+โ”‚                             Something else  โ”‚             68โ”‚              0โ”‚
+โ”‚                             Multiple -      โ”‚              7โ”‚              0โ”‚
+โ”‚                             cannot choose   โ”‚               โ”‚               โ”‚
+โ”‚                             one             โ”‚               โ”‚               โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                             โ”‚   D5. ETHNICITY: Are you of   โ”‚
+โ”‚                                             โ”‚  Hispanic or Latino origin or โ”‚
+โ”‚                                             โ”‚            descent?           โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚      Yes      โ”‚       No      โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚     Count     โ”‚     Count     โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is   Cuban           โ”‚             20โ”‚               โ”‚
+โ”‚your primary ethnic          Mexican         โ”‚            311โ”‚               โ”‚
+โ”‚background?                  Spanish         โ”‚             48โ”‚               โ”‚
+โ”‚                             South American  โ”‚             34โ”‚               โ”‚
+โ”‚                             Central Americanโ”‚             52โ”‚               โ”‚
+โ”‚                             Puerto Rican, ORโ”‚             78โ”‚               โ”‚
+โ”‚                             Something else  โ”‚             68โ”‚               โ”‚
+โ”‚                             Multiple -      โ”‚              7โ”‚               โ”‚
+โ”‚                             cannot choose   โ”‚               โ”‚               โ”‚
+โ”‚                             one             โ”‚               โ”‚               โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                             โ”‚   D5. ETHNICITY: Are you of   โ”‚
+โ”‚                                             โ”‚  Hispanic or Latino origin or โ”‚
+โ”‚                                             โ”‚            descent?           โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚      Yes      โ”‚       No      โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚     Count     โ”‚     Count     โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is   Cuban           โ”‚             20โ”‚n/a            โ”‚
+โ”‚your primary ethnic          Mexican         โ”‚            311โ”‚n/a            โ”‚
+โ”‚background?                  Spanish         โ”‚             48โ”‚n/a            โ”‚
+โ”‚                             South American  โ”‚             34โ”‚n/a            โ”‚
+โ”‚                             Central Americanโ”‚             52โ”‚n/a            โ”‚
+โ”‚                             Puerto Rican, ORโ”‚             78โ”‚n/a            โ”‚
+โ”‚                             Something else  โ”‚             68โ”‚n/a            โ”‚
+โ”‚                             Multiple -      โ”‚              7โ”‚n/a            โ”‚
+โ”‚                             cannot choose   โ”‚               โ”‚               โ”‚
+โ”‚                             one             โ”‚               โ”‚               โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES FORMAT MISSING])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /FORMAT MISSING='(no data)' /TABLE qnd5a[COLPCT] BY qnd5.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                             โ”‚   D5. ETHNICITY: Are you of   โ”‚
+โ”‚                                             โ”‚  Hispanic or Latino origin or โ”‚
+โ”‚                                             โ”‚            descent?           โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚      Yes      โ”‚       No      โ”‚
+โ”‚                                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                             โ”‚    Column %   โ”‚    Column %   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚D5a. What would you say is   Cuban           โ”‚           3.2%โ”‚(no data)      โ”‚
+โ”‚your primary ethnic          Mexican         โ”‚          50.3%โ”‚(no data)      โ”‚
+โ”‚background?                  Spanish         โ”‚           7.8%โ”‚(no data)      โ”‚
+โ”‚                             South American  โ”‚           5.5%โ”‚(no data)      โ”‚
+โ”‚                             Central Americanโ”‚           8.4%โ”‚(no data)      โ”‚
+โ”‚                             Puerto Rican, ORโ”‚          12.6%โ”‚(no data)      โ”‚
+โ”‚                             Something else  โ”‚          11.0%โ”‚(no data)      โ”‚
+โ”‚                             Multiple -      โ”‚           1.1%โ”‚(no data)      โ”‚
+โ”‚                             cannot choose   โ”‚               โ”‚               โ”‚
+โ”‚                             one             โ”‚               โ”‚               โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES HIDESMALLCOUNTS])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /TABLE qn38[c][COUNT, COLPCT].
+CTABLES /HIDESMALLCOUNTS /TABLE qn38[c][COUNT, COLPCT].
+CTABLES /HIDESMALLCOUNTS COUNT=10 /TABLE qn38[c][COUNT, COLPCT].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                              โ”‚Countโ”‚Column %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚38. How many drinks did you have on that         Less than oneโ”‚    7โ”‚     .5%โ”‚
+โ”‚occasion?                                        1            โ”‚  491โ”‚   34.9%โ”‚
+โ”‚                                                 2            โ”‚  462โ”‚   32.9%โ”‚
+โ”‚                                                 3            โ”‚  229โ”‚   16.3%โ”‚
+โ”‚                                                 4            โ”‚   82โ”‚    5.8%โ”‚
+โ”‚                                                 5            โ”‚   56โ”‚    4.0%โ”‚
+โ”‚                                                 6            โ”‚   32โ”‚    2.3%โ”‚
+โ”‚                                                 7            โ”‚    9โ”‚     .6%โ”‚
+โ”‚                                                 8            โ”‚    8โ”‚     .6%โ”‚
+โ”‚                                                 9            โ”‚    4โ”‚     .3%โ”‚
+โ”‚                                                 10           โ”‚    6โ”‚     .4%โ”‚
+โ”‚                                                 11           โ”‚    2โ”‚     .1%โ”‚
+โ”‚                                                 12           โ”‚    5โ”‚     .4%โ”‚
+โ”‚                                                 14           โ”‚    1โ”‚     .1%โ”‚
+โ”‚                                                 15           โ”‚    1โ”‚     .1%โ”‚
+โ”‚                                                 18           โ”‚    1โ”‚     .1%โ”‚
+โ”‚                                                 20           โ”‚    4โ”‚     .3%โ”‚
+โ”‚                                                 25           โ”‚    1โ”‚     .1%โ”‚
+โ”‚                                                 30           โ”‚    3โ”‚     .2%โ”‚
+โ”‚                                                 60           โ”‚    1โ”‚     .1%โ”‚
+โ”‚                                                 99+          โ”‚    0โ”‚     .0%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                              โ”‚Countโ”‚Column %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚38. How many drinks did you have on that         Less than oneโ”‚    7โ”‚     .5%โ”‚
+โ”‚occasion?                                        1            โ”‚  491โ”‚   34.9%โ”‚
+โ”‚                                                 2            โ”‚  462โ”‚   32.9%โ”‚
+โ”‚                                                 3            โ”‚  229โ”‚   16.3%โ”‚
+โ”‚                                                 4            โ”‚   82โ”‚    5.8%โ”‚
+โ”‚                                                 5            โ”‚   56โ”‚    4.0%โ”‚
+โ”‚                                                 6            โ”‚   32โ”‚    2.3%โ”‚
+โ”‚                                                 7            โ”‚    9โ”‚     .6%โ”‚
+โ”‚                                                 8            โ”‚    8โ”‚     .6%โ”‚
+โ”‚                                                 9            โ”‚<5   โ”‚     .3%โ”‚
+โ”‚                                                 10           โ”‚    6โ”‚     .4%โ”‚
+โ”‚                                                 11           โ”‚<5   โ”‚     .1%โ”‚
+โ”‚                                                 12           โ”‚    5โ”‚     .4%โ”‚
+โ”‚                                                 14           โ”‚<5   โ”‚     .1%โ”‚
+โ”‚                                                 15           โ”‚<5   โ”‚     .1%โ”‚
+โ”‚                                                 18           โ”‚<5   โ”‚     .1%โ”‚
+โ”‚                                                 20           โ”‚<5   โ”‚     .3%โ”‚
+โ”‚                                                 25           โ”‚<5   โ”‚     .1%โ”‚
+โ”‚                                                 30           โ”‚<5   โ”‚     .2%โ”‚
+โ”‚                                                 60           โ”‚<5   โ”‚     .1%โ”‚
+โ”‚                                                 99+          โ”‚<5   โ”‚     .0%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                              โ”‚Countโ”‚Column %โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚38. How many drinks did you have on that         Less than oneโ”‚<10  โ”‚     .5%โ”‚
+โ”‚occasion?                                        1            โ”‚  491โ”‚   34.9%โ”‚
+โ”‚                                                 2            โ”‚  462โ”‚   32.9%โ”‚
+โ”‚                                                 3            โ”‚  229โ”‚   16.3%โ”‚
+โ”‚                                                 4            โ”‚   82โ”‚    5.8%โ”‚
+โ”‚                                                 5            โ”‚   56โ”‚    4.0%โ”‚
+โ”‚                                                 6            โ”‚   32โ”‚    2.3%โ”‚
+โ”‚                                                 7            โ”‚<10  โ”‚     .6%โ”‚
+โ”‚                                                 8            โ”‚<10  โ”‚     .6%โ”‚
+โ”‚                                                 9            โ”‚<10  โ”‚     .3%โ”‚
+โ”‚                                                 10           โ”‚<10  โ”‚     .4%โ”‚
+โ”‚                                                 11           โ”‚<10  โ”‚     .1%โ”‚
+โ”‚                                                 12           โ”‚<10  โ”‚     .4%โ”‚
+โ”‚                                                 14           โ”‚<10  โ”‚     .1%โ”‚
+โ”‚                                                 15           โ”‚<10  โ”‚     .1%โ”‚
+โ”‚                                                 18           โ”‚<10  โ”‚     .1%โ”‚
+โ”‚                                                 20           โ”‚<10  โ”‚     .3%โ”‚
+โ”‚                                                 25           โ”‚<10  โ”‚     .1%โ”‚
+โ”‚                                                 30           โ”‚<10  โ”‚     .2%โ”‚
+โ”‚                                                 60           โ”‚<10  โ”‚     .1%โ”‚
+โ”‚                                                 99+          โ”‚<10  โ”‚     .0%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES FORMAT MINCOLWIDTH MAXCOLWIDTH])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES /FORMAT MINCOLWIDTH=1 MAXCOLWIDTH=2 UNITS=INCHES /TABLE BY qns3a.
+]])
+AT_CHECK([pspp ctables.sps -o - -O box=unicode -o pspp.spv], [0], [dnl
+ Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚S3a. GENDER:โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ Maleโ”‚Femaleโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚ 3132โ”‚  3867โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CHECK([pspp-output get-table-look pspp.spv pspp.stt])
+AT_CHECK([sed 's/ /\n/g' pspp.stt | grep ColumnWidth | sort], [0], [dnl
+maximumColumnWidth="192"
+minimumColumnWidth="96"
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES special formats])
+AT_KEYWORDS([NEGPAREN NEQUAL PAREN PCTPAREN])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+COMPUTE x = qnd3 - 4.
+CTABLES /TABLE x[MINIMUM NEGPAREN8.1, MINIMUM NEQUAL8.1, MINIMUM PAREN8.1, MINIMUM PCTPAREN8.1, MAXIMUM NEGPAREN8.1, MAXIMUM NEQUAL8.1, MAXIMUM PAREN8.1, MAXIMUM PCTPAREN8.1].
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                           Custom Tables
+โ•ญโ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚ โ”‚Minimumโ”‚Minimumโ”‚Minimumโ”‚Minimumโ”‚Maximumโ”‚Maximumโ”‚Maximumโ”‚Maximumโ”‚
+โ”œโ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚xโ”‚(3.0)  โ”‚N=-3.0 โ”‚(-3.0) โ”‚(-3.0%)โ”‚8.0    โ”‚N=8.0  โ”‚(8.0)  โ”‚(8.0%) โ”‚
+โ•ฐโ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES TITLES])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=qn1 DISPLAY=NONE
+    /TABLE ((qn1[c][COUNT])) BY qns3a[c] > qnd5
+    /TITLES TITLE='How often do you drive?'
+            CAPTION='Generated )TIME on )DATE'
+           CORNER=')TABLE'.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode | sed 's/..:..:../HH:MM:SS/
+s&../../..&MM/DD/YY&'], [0], [dnl
+                            How often do you drive?
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚               S3a. GENDER:              โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚        Male        โ”‚       Female       โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚ D5. ETHNICITY: Are โ”‚ D5. ETHNICITY: Are โ”‚
+โ”‚                                   โ”‚ you of Hispanic or โ”‚ you of Hispanic or โ”‚
+โ”‚                                   โ”‚  Latino origin or  โ”‚  Latino origin or  โ”‚
+โ”‚( ( 1. How often do you usually    โ”‚      descent?      โ”‚      descent?      โ”‚
+โ”‚drive a car or other motor         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚vehicle?) ) BY S3a. GENDER: > D5.  โ”‚   Yes   โ”‚    No    โ”‚   Yes   โ”‚    No    โ”‚
+โ”‚ETHNICITY: Are you of Hispanic or  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Latino origin or descent?          โ”‚  Count  โ”‚   Count  โ”‚  Count  โ”‚   Count  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Every day                          โ”‚      218โ”‚      2066โ”‚      166โ”‚      2175โ”‚
+โ”‚Several days a week                โ”‚       44โ”‚       391โ”‚       45โ”‚       782โ”‚
+โ”‚Once a week or less                โ”‚       16โ”‚       109โ”‚       12โ”‚       223โ”‚
+โ”‚Only certain times a year          โ”‚       15โ”‚        41โ”‚       11โ”‚        61โ”‚
+โ”‚Never                              โ”‚       39โ”‚       150โ”‚       56โ”‚       278โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+Generated HH:MM:SS on MM/DD/YY
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES area definitions])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=ALL DISPLAY=NAME
+    /TABLE qn61 > qn57 BY qnd7a > qn86 + qn64b BY qns3a[TABLEID, LAYERID, SUBTABLEID]
+    /SLABELS POSITION=ROW
+    /TABLE qn61 > qn57 BY qnd7a > qn86 + qn64b BY qns3a[ROWID, LAYERROWID]
+    /SLABELS POSITION=ROW
+    /TABLE qn61 > qn57 BY qnd7a > qn86 + qn64b BY qns3a[COLID, LAYERCOLID]
+    /SLABELS POSITION=ROW.
+]])
+AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=80], [0], [dnl
+                    Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                             โ”‚    QND7A    โ”‚ QN64Bโ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                             โ”‚  Yes โ”‚  No  โ”‚   โ”‚  โ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                             โ”‚ QN86 โ”‚ QN86 โ”‚   โ”‚  โ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                             โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN61 Yes QN57 Yes Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Subtable IDโ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Subtable IDโ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN57 Yes Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Subtable IDโ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Subtable IDโ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                    Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                             โ”‚    QND7A    โ”‚ QN64Bโ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                             โ”‚  Yes โ”‚  No  โ”‚   โ”‚  โ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                             โ”‚ QN86 โ”‚ QN86 โ”‚   โ”‚  โ”‚
+โ”‚                             โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                             โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN61 Yes QN57 Yes Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚
+โ”‚                  Subtable IDโ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚  9โ”‚ 9โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚
+โ”‚                  Subtable IDโ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚  9โ”‚ 9โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN57 Yes Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚
+โ”‚                  Subtable IDโ”‚ 10โ”‚10โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚                  Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚
+โ”‚                  Subtable IDโ”‚ 10โ”‚10โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                    Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                              โ”‚    QND7A    โ”‚ QN64Bโ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                              โ”‚  Yes โ”‚  No  โ”‚   โ”‚  โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                              โ”‚ QN86 โ”‚ QN86 โ”‚   โ”‚  โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                              โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN61 Yes QN57 Yes Row ID      โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚
+โ”‚                  Layer Row IDโ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Row ID      โ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚
+โ”‚                  Layer Row IDโ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN57 Yes Row ID      โ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚  9โ”‚ 9โ”‚
+โ”‚                  Layer Row IDโ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Row ID      โ”‚ 10โ”‚10โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚
+โ”‚                  Layer Row IDโ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                    Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                              โ”‚    QND7A    โ”‚ QN64Bโ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                              โ”‚  Yes โ”‚  No  โ”‚   โ”‚  โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                              โ”‚ QN86 โ”‚ QN86 โ”‚   โ”‚  โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                              โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN61 Yes QN57 Yes Row ID      โ”‚ 13โ”‚13โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚
+โ”‚                  Layer Row IDโ”‚  9โ”‚ 9โ”‚  9โ”‚ 9โ”‚ 10โ”‚10โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Row ID      โ”‚ 16โ”‚16โ”‚ 17โ”‚17โ”‚ 18โ”‚18โ”‚
+โ”‚                  Layer Row IDโ”‚ 11โ”‚11โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN57 Yes Row ID      โ”‚ 19โ”‚19โ”‚ 20โ”‚20โ”‚ 21โ”‚21โ”‚
+โ”‚                  Layer Row IDโ”‚ 13โ”‚13โ”‚ 13โ”‚13โ”‚ 14โ”‚14โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Row ID      โ”‚ 22โ”‚22โ”‚ 23โ”‚23โ”‚ 24โ”‚24โ”‚
+โ”‚                  Layer Row IDโ”‚ 15โ”‚15โ”‚ 15โ”‚15โ”‚ 16โ”‚16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                      Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                 โ”‚    QND7A    โ”‚ QN64Bโ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                 โ”‚  Yes โ”‚  No  โ”‚   โ”‚  โ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                                 โ”‚ QN86 โ”‚ QN86 โ”‚   โ”‚  โ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                                 โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN61 Yes QN57 Yes Column ID      โ”‚  1โ”‚ 2โ”‚  3โ”‚ 4โ”‚  5โ”‚ 6โ”‚
+โ”‚                  Layer Column IDโ”‚  1โ”‚ 2โ”‚  3โ”‚ 4โ”‚  5โ”‚ 6โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Column ID      โ”‚  1โ”‚ 2โ”‚  3โ”‚ 4โ”‚  5โ”‚ 6โ”‚
+โ”‚                  Layer Column IDโ”‚  1โ”‚ 2โ”‚  3โ”‚ 4โ”‚  5โ”‚ 6โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN57 Yes Column ID      โ”‚  7โ”‚ 8โ”‚  9โ”‚10โ”‚ 11โ”‚12โ”‚
+โ”‚                  Layer Column IDโ”‚  1โ”‚ 2โ”‚  3โ”‚ 4โ”‚  5โ”‚ 6โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Column ID      โ”‚  7โ”‚ 8โ”‚  9โ”‚10โ”‚ 11โ”‚12โ”‚
+โ”‚                  Layer Column IDโ”‚  1โ”‚ 2โ”‚  3โ”‚ 4โ”‚  5โ”‚ 6โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                      Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                 โ”‚    QND7A    โ”‚ QN64Bโ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                 โ”‚  Yes โ”‚  No  โ”‚   โ”‚  โ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                                 โ”‚ QN86 โ”‚ QN86 โ”‚   โ”‚  โ”‚
+โ”‚                                 โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค   โ”‚  โ”‚
+โ”‚                                 โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN61 Yes QN57 Yes Column ID      โ”‚ 13โ”‚14โ”‚ 15โ”‚16โ”‚ 17โ”‚18โ”‚
+โ”‚                  Layer Column IDโ”‚  7โ”‚ 8โ”‚  9โ”‚10โ”‚ 11โ”‚12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Column ID      โ”‚ 13โ”‚14โ”‚ 15โ”‚16โ”‚ 17โ”‚18โ”‚
+โ”‚                  Layer Column IDโ”‚  7โ”‚ 8โ”‚  9โ”‚10โ”‚ 11โ”‚12โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN57 Yes Column ID      โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚
+โ”‚                  Layer Column IDโ”‚  7โ”‚ 8โ”‚  9โ”‚10โ”‚ 11โ”‚12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  Column ID      โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚
+โ”‚                  Layer Column IDโ”‚  7โ”‚ 8โ”‚  9โ”‚10โ”‚ 11โ”‚12โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES area definitions with CLABELS ROWLABELS=OPPOSITE])
+AT_KEYWORDS([ROWLABELS OPPOSITE])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=ALL DISPLAY=NAME
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[TABLEID, LAYERID, SUBTABLEID]
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=OPPOSITE
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[ROWID, LAYERROWID]
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=OPPOSITE
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[COLID, LAYERCOLID]
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=OPPOSITE.
+]])
+AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
+                                        Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚                          QN27                         โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚            Yes            โ”‚             No            โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚           QND7A           โ”‚           QND7A           โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     Yes     โ”‚      No     โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                  โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  9โ”‚ 9โ”‚ 10โ”‚10โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚ 13โ”‚13โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚ 16โ”‚16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  9โ”‚ 9โ”‚ 10โ”‚10โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚ 13โ”‚13โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚ 16โ”‚16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                                        Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚                          QN27                         โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚            Yes            โ”‚             No            โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚           QND7A           โ”‚           QND7A           โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     Yes     โ”‚      No     โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                  โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚ 17โ”‚17โ”‚ 18โ”‚18โ”‚ 19โ”‚19โ”‚ 20โ”‚20โ”‚ 21โ”‚21โ”‚ 22โ”‚22โ”‚ 23โ”‚23โ”‚ 24โ”‚24โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚ 17โ”‚17โ”‚ 18โ”‚18โ”‚ 19โ”‚19โ”‚ 20โ”‚20โ”‚ 21โ”‚21โ”‚ 22โ”‚22โ”‚ 23โ”‚23โ”‚ 24โ”‚24โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚ 25โ”‚25โ”‚ 26โ”‚26โ”‚ 27โ”‚27โ”‚ 28โ”‚28โ”‚ 29โ”‚29โ”‚ 30โ”‚30โ”‚ 31โ”‚31โ”‚ 32โ”‚32โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚ 25โ”‚25โ”‚ 26โ”‚26โ”‚ 27โ”‚27โ”‚ 28โ”‚28โ”‚ 29โ”‚29โ”‚ 30โ”‚30โ”‚ 31โ”‚31โ”‚ 32โ”‚32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                                        Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚                          QN27                         โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚            Yes            โ”‚             No            โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚           QND7A           โ”‚           QND7A           โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     Yes     โ”‚      No     โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                   โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Row ID      โ”‚  1โ”‚ 1โ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  6โ”‚ 6โ”‚  7โ”‚ 7โ”‚  8โ”‚ 8โ”‚
+โ”‚                       Layer Row IDโ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚  9โ”‚ 9โ”‚ 10โ”‚10โ”‚ 11โ”‚11โ”‚ 12โ”‚12โ”‚ 13โ”‚13โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚ 16โ”‚16โ”‚
+โ”‚                       Layer Row IDโ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Row ID      โ”‚ 17โ”‚17โ”‚ 18โ”‚18โ”‚ 19โ”‚19โ”‚ 20โ”‚20โ”‚ 21โ”‚21โ”‚ 22โ”‚22โ”‚ 23โ”‚23โ”‚ 24โ”‚24โ”‚
+โ”‚                       Layer Row IDโ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 25โ”‚25โ”‚ 26โ”‚26โ”‚ 27โ”‚27โ”‚ 28โ”‚28โ”‚ 29โ”‚29โ”‚ 30โ”‚30โ”‚ 31โ”‚31โ”‚ 32โ”‚32โ”‚
+โ”‚                       Layer Row IDโ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                                        Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚                          QN27                         โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚            Yes            โ”‚             No            โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚           QND7A           โ”‚           QND7A           โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     Yes     โ”‚      No     โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                   โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Row ID      โ”‚ 33โ”‚33โ”‚ 34โ”‚34โ”‚ 35โ”‚35โ”‚ 36โ”‚36โ”‚ 37โ”‚37โ”‚ 38โ”‚38โ”‚ 39โ”‚39โ”‚ 40โ”‚40โ”‚
+โ”‚                       Layer Row IDโ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 41โ”‚41โ”‚ 42โ”‚42โ”‚ 43โ”‚43โ”‚ 44โ”‚44โ”‚ 45โ”‚45โ”‚ 46โ”‚46โ”‚ 47โ”‚47โ”‚ 48โ”‚48โ”‚
+โ”‚                       Layer Row IDโ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Row ID      โ”‚ 49โ”‚49โ”‚ 50โ”‚50โ”‚ 51โ”‚51โ”‚ 52โ”‚52โ”‚ 53โ”‚53โ”‚ 54โ”‚54โ”‚ 55โ”‚55โ”‚ 56โ”‚56โ”‚
+โ”‚                       Layer Row IDโ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 57โ”‚57โ”‚ 58โ”‚58โ”‚ 59โ”‚59โ”‚ 60โ”‚60โ”‚ 61โ”‚61โ”‚ 62โ”‚62โ”‚ 63โ”‚63โ”‚ 64โ”‚64โ”‚
+โ”‚                       Layer Row IDโ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                                          Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚                          QN27                         โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚            Yes            โ”‚             No            โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚           QND7A           โ”‚           QND7A           โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     Yes     โ”‚      No     โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                      โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Column ID      โ”‚  2โ”‚ 1โ”‚  4โ”‚ 3โ”‚  6โ”‚ 5โ”‚  7โ”‚ 8โ”‚ 10โ”‚ 9โ”‚ 11โ”‚12โ”‚ 14โ”‚13โ”‚ 15โ”‚16โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 1โ”‚  4โ”‚ 3โ”‚  6โ”‚ 5โ”‚  7โ”‚ 8โ”‚ 10โ”‚ 9โ”‚ 11โ”‚12โ”‚ 14โ”‚13โ”‚ 15โ”‚16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚  2โ”‚ 1โ”‚  4โ”‚ 3โ”‚  6โ”‚ 5โ”‚  7โ”‚ 8โ”‚ 10โ”‚ 9โ”‚ 11โ”‚12โ”‚ 14โ”‚13โ”‚ 15โ”‚16โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 1โ”‚  4โ”‚ 3โ”‚  6โ”‚ 5โ”‚  7โ”‚ 8โ”‚ 10โ”‚ 9โ”‚ 11โ”‚12โ”‚ 14โ”‚13โ”‚ 15โ”‚16โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Column ID      โ”‚ 18โ”‚17โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚ 25โ”‚26โ”‚ 28โ”‚27โ”‚ 29โ”‚30โ”‚ 32โ”‚31โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 1โ”‚  4โ”‚ 3โ”‚  6โ”‚ 5โ”‚  7โ”‚ 8โ”‚ 10โ”‚ 9โ”‚ 11โ”‚12โ”‚ 14โ”‚13โ”‚ 15โ”‚16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 18โ”‚17โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚ 25โ”‚26โ”‚ 28โ”‚27โ”‚ 29โ”‚30โ”‚ 32โ”‚31โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 1โ”‚  4โ”‚ 3โ”‚  6โ”‚ 5โ”‚  7โ”‚ 8โ”‚ 10โ”‚ 9โ”‚ 11โ”‚12โ”‚ 14โ”‚13โ”‚ 15โ”‚16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                                          Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚                          QN27                         โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚            Yes            โ”‚             No            โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚           QND7A           โ”‚           QND7A           โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     Yes     โ”‚      No     โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚     QN86    โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                      โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Column ID      โ”‚ 34โ”‚33โ”‚ 35โ”‚36โ”‚ 37โ”‚38โ”‚ 39โ”‚40โ”‚ 41โ”‚42โ”‚ 44โ”‚43โ”‚ 45โ”‚46โ”‚ 47โ”‚48โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚17โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚ 25โ”‚26โ”‚ 28โ”‚27โ”‚ 29โ”‚30โ”‚ 31โ”‚32โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 34โ”‚33โ”‚ 35โ”‚36โ”‚ 37โ”‚38โ”‚ 39โ”‚40โ”‚ 41โ”‚42โ”‚ 44โ”‚43โ”‚ 45โ”‚46โ”‚ 47โ”‚48โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚17โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚ 25โ”‚26โ”‚ 28โ”‚27โ”‚ 29โ”‚30โ”‚ 31โ”‚32โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Column ID      โ”‚ 50โ”‚49โ”‚ 51โ”‚52โ”‚ 53โ”‚54โ”‚ 55โ”‚56โ”‚ 57โ”‚58โ”‚ 59โ”‚60โ”‚ 62โ”‚61โ”‚ 64โ”‚63โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚17โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚ 25โ”‚26โ”‚ 28โ”‚27โ”‚ 29โ”‚30โ”‚ 31โ”‚32โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 50โ”‚49โ”‚ 51โ”‚52โ”‚ 53โ”‚54โ”‚ 55โ”‚56โ”‚ 57โ”‚58โ”‚ 59โ”‚60โ”‚ 62โ”‚61โ”‚ 64โ”‚63โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚17โ”‚ 19โ”‚20โ”‚ 21โ”‚22โ”‚ 23โ”‚24โ”‚ 25โ”‚26โ”‚ 28โ”‚27โ”‚ 29โ”‚30โ”‚ 31โ”‚32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES area definitions with CLABELS COLLABELS=OPPOSITE])
+AT_KEYWORDS([COLLABELS OPPOSITE])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=ALL DISPLAY=NAME
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[TABLEID, LAYERID, SUBTABLEID]
+    /SLABELS POSITION=ROW
+    /CLABELS COLLABELS=OPPOSITE
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[ROWID, LAYERROWID]
+    /SLABELS POSITION=ROW
+    /CLABELS COLLABELS=OPPOSITE
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[COLID, LAYERCOLID]
+    /SLABELS POSITION=ROW
+    /CLABELS COLLABELS=OPPOSITE.
+]])
+AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
+                          Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                          โ”‚        QN27       โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   1โ”‚   1โ”‚   2โ”‚   2โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   1โ”‚   1โ”‚   2โ”‚   2โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   3โ”‚   3โ”‚   4โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   3โ”‚   3โ”‚   4โ”‚   4โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   5โ”‚   5โ”‚   6โ”‚   6โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   5โ”‚   5โ”‚   6โ”‚   6โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   7โ”‚   7โ”‚   8โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   7โ”‚   7โ”‚   8โ”‚   8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   9โ”‚   9โ”‚  10โ”‚  10โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚   9โ”‚   9โ”‚  10โ”‚  10โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚  11โ”‚  11โ”‚  12โ”‚  12โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚  11โ”‚  11โ”‚  12โ”‚  12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚  13โ”‚  13โ”‚  14โ”‚  14โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚  13โ”‚  13โ”‚  14โ”‚  14โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚  15โ”‚  15โ”‚  16โ”‚  16โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Subtable IDโ”‚  15โ”‚  15โ”‚  16โ”‚  16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                          โ”‚        QN27       โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  17โ”‚  17โ”‚  18โ”‚  18โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  17โ”‚  17โ”‚  18โ”‚  18โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  19โ”‚  19โ”‚  20โ”‚  20โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  19โ”‚  19โ”‚  20โ”‚  20โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  21โ”‚  21โ”‚  22โ”‚  22โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  21โ”‚  21โ”‚  22โ”‚  22โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  23โ”‚  23โ”‚  24โ”‚  24โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  23โ”‚  23โ”‚  24โ”‚  24โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  25โ”‚  25โ”‚  26โ”‚  26โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  25โ”‚  25โ”‚  26โ”‚  26โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  27โ”‚  27โ”‚  28โ”‚  28โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  27โ”‚  27โ”‚  28โ”‚  28โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  29โ”‚  29โ”‚  30โ”‚  30โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  29โ”‚  29โ”‚  30โ”‚  30โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  31โ”‚  31โ”‚  32โ”‚  32โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                               Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                               Subtable IDโ”‚  31โ”‚  31โ”‚  32โ”‚  32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                           โ”‚        QN27       โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Yes Row ID      โ”‚   2โ”‚   2โ”‚   3โ”‚   3โ”‚
+โ”‚                               Layer Row IDโ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚   1โ”‚   1โ”‚   4โ”‚   4โ”‚
+โ”‚                               Layer Row IDโ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚   5โ”‚   5โ”‚   7โ”‚   7โ”‚
+โ”‚                               Layer Row IDโ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚   6โ”‚   6โ”‚   8โ”‚   8โ”‚
+โ”‚                               Layer Row IDโ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Row ID      โ”‚  10โ”‚  10โ”‚  11โ”‚  11โ”‚
+โ”‚                               Layer Row IDโ”‚   6โ”‚   6โ”‚   6โ”‚   6โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚   9โ”‚   9โ”‚  12โ”‚  12โ”‚
+โ”‚                               Layer Row IDโ”‚   5โ”‚   5โ”‚   5โ”‚   5โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  14โ”‚  14โ”‚  16โ”‚  16โ”‚
+โ”‚                               Layer Row IDโ”‚   8โ”‚   8โ”‚   8โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  13โ”‚  13โ”‚  15โ”‚  15โ”‚
+โ”‚                               Layer Row IDโ”‚   7โ”‚   7โ”‚   7โ”‚   7โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Yes Row ID      โ”‚  17โ”‚  17โ”‚  19โ”‚  19โ”‚
+โ”‚                               Layer Row IDโ”‚   9โ”‚   9โ”‚   9โ”‚   9โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  18โ”‚  18โ”‚  20โ”‚  20โ”‚
+โ”‚                               Layer Row IDโ”‚  10โ”‚  10โ”‚  10โ”‚  10โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  21โ”‚  21โ”‚  23โ”‚  23โ”‚
+โ”‚                               Layer Row IDโ”‚  11โ”‚  11โ”‚  11โ”‚  11โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  22โ”‚  22โ”‚  24โ”‚  24โ”‚
+โ”‚                               Layer Row IDโ”‚  12โ”‚  12โ”‚  12โ”‚  12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Row ID      โ”‚  26โ”‚  26โ”‚  28โ”‚  28โ”‚
+โ”‚                               Layer Row IDโ”‚  14โ”‚  14โ”‚  14โ”‚  14โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  25โ”‚  25โ”‚  27โ”‚  27โ”‚
+โ”‚                               Layer Row IDโ”‚  13โ”‚  13โ”‚  13โ”‚  13โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  30โ”‚  30โ”‚  32โ”‚  32โ”‚
+โ”‚                               Layer Row IDโ”‚  16โ”‚  16โ”‚  16โ”‚  16โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  29โ”‚  29โ”‚  31โ”‚  31โ”‚
+โ”‚                               Layer Row IDโ”‚  15โ”‚  15โ”‚  15โ”‚  15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                           โ”‚        QN27       โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                           โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                           โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Yes Row ID      โ”‚  33โ”‚  33โ”‚  36โ”‚  36โ”‚
+โ”‚                               Layer Row IDโ”‚  17โ”‚  17โ”‚  17โ”‚  17โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  34โ”‚  34โ”‚  35โ”‚  35โ”‚
+โ”‚                               Layer Row IDโ”‚  18โ”‚  18โ”‚  18โ”‚  18โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  37โ”‚  37โ”‚  39โ”‚  39โ”‚
+โ”‚                               Layer Row IDโ”‚  19โ”‚  19โ”‚  19โ”‚  19โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  38โ”‚  38โ”‚  40โ”‚  40โ”‚
+โ”‚                               Layer Row IDโ”‚  20โ”‚  20โ”‚  20โ”‚  20โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Row ID      โ”‚  41โ”‚  41โ”‚  44โ”‚  44โ”‚
+โ”‚                               Layer Row IDโ”‚  21โ”‚  21โ”‚  21โ”‚  21โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  42โ”‚  42โ”‚  43โ”‚  43โ”‚
+โ”‚                               Layer Row IDโ”‚  22โ”‚  22โ”‚  22โ”‚  22โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  45โ”‚  45โ”‚  48โ”‚  48โ”‚
+โ”‚                               Layer Row IDโ”‚  23โ”‚  23โ”‚  23โ”‚  23โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  46โ”‚  46โ”‚  47โ”‚  47โ”‚
+โ”‚                               Layer Row IDโ”‚  24โ”‚  24โ”‚  24โ”‚  24โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Yes Row ID      โ”‚  49โ”‚  49โ”‚  52โ”‚  52โ”‚
+โ”‚                               Layer Row IDโ”‚  25โ”‚  25โ”‚  25โ”‚  25โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  50โ”‚  50โ”‚  51โ”‚  51โ”‚
+โ”‚                               Layer Row IDโ”‚  26โ”‚  26โ”‚  26โ”‚  26โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  53โ”‚  53โ”‚  55โ”‚  55โ”‚
+โ”‚                               Layer Row IDโ”‚  27โ”‚  27โ”‚  27โ”‚  27โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  54โ”‚  54โ”‚  56โ”‚  56โ”‚
+โ”‚                               Layer Row IDโ”‚  28โ”‚  28โ”‚  28โ”‚  28โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Row ID      โ”‚  58โ”‚  58โ”‚  59โ”‚  59โ”‚
+โ”‚                               Layer Row IDโ”‚  30โ”‚  30โ”‚  30โ”‚  30โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  57โ”‚  57โ”‚  60โ”‚  60โ”‚
+โ”‚                               Layer Row IDโ”‚  29โ”‚  29โ”‚  29โ”‚  29โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Row ID      โ”‚  62โ”‚  62โ”‚  64โ”‚  64โ”‚
+โ”‚                               Layer Row IDโ”‚  32โ”‚  32โ”‚  32โ”‚  32โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Row ID      โ”‚  61โ”‚  61โ”‚  63โ”‚  63โ”‚
+โ”‚                               Layer Row IDโ”‚  31โ”‚  31โ”‚  31โ”‚  31โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                            Custom Tables
+Male
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                              โ”‚        QN27       โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Yes Column ID      โ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Column ID      โ”‚   9โ”‚  10โ”‚  11โ”‚  12โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚   9โ”‚  10โ”‚  11โ”‚  12โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  13โ”‚  14โ”‚  15โ”‚  16โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  13โ”‚  14โ”‚  15โ”‚  16โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Yes Column ID      โ”‚  17โ”‚  18โ”‚  19โ”‚  20โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  17โ”‚  18โ”‚  19โ”‚  20โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  21โ”‚  22โ”‚  23โ”‚  24โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  21โ”‚  22โ”‚  23โ”‚  24โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Column ID      โ”‚  25โ”‚  26โ”‚  27โ”‚  28โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  25โ”‚  26โ”‚  27โ”‚  28โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  29โ”‚  30โ”‚  31โ”‚  32โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  29โ”‚  30โ”‚  31โ”‚  32โ”‚
+โ”‚                               Layer Column IDโ”‚   1โ”‚   2โ”‚   3โ”‚   4โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                            Custom Tables
+Female
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                              โ”‚        QN27       โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                              โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                              โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Yes Column ID      โ”‚  33โ”‚  34โ”‚  35โ”‚  36โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  33โ”‚  34โ”‚  35โ”‚  36โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  37โ”‚  38โ”‚  39โ”‚  40โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  37โ”‚  38โ”‚  39โ”‚  40โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Column ID      โ”‚  41โ”‚  42โ”‚  43โ”‚  44โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  41โ”‚  42โ”‚  43โ”‚  44โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  45โ”‚  46โ”‚  47โ”‚  48โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  45โ”‚  46โ”‚  47โ”‚  48โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Yes Column ID      โ”‚  49โ”‚  50โ”‚  51โ”‚  52โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  49โ”‚  50โ”‚  51โ”‚  52โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  53โ”‚  54โ”‚  55โ”‚  56โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  53โ”‚  54โ”‚  55โ”‚  56โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Yes Column ID      โ”‚  57โ”‚  58โ”‚  59โ”‚  60โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  57โ”‚  58โ”‚  59โ”‚  60โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Yes Column ID      โ”‚  61โ”‚  62โ”‚  63โ”‚  64โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ”‚                          โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                           No  Column ID      โ”‚  61โ”‚  62โ”‚  63โ”‚  64โ”‚
+โ”‚                               Layer Column IDโ”‚   5โ”‚   6โ”‚   7โ”‚   8โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES area definitions with CLABELS ROWLABELS=LAYER])
+AT_KEYWORDS([ROWLABELS LAYER])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=ALL DISPLAY=NAME
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[TABLEID, LAYERID, SUBTABLEID]
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=LAYER
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[ROWID, LAYERROWID]
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=LAYER
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[COLID, LAYERCOLID]
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=LAYER.
+]])
+AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
+                          Custom Tables
+Male
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚            QN27           โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                  โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚  5โ”‚ 5โ”‚  7โ”‚ 7โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚  2โ”‚ 2โ”‚  3โ”‚ 3โ”‚  5โ”‚ 5โ”‚  7โ”‚ 7โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚ 10โ”‚10โ”‚ 12โ”‚12โ”‚ 13โ”‚13โ”‚ 16โ”‚16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚                       Subtable IDโ”‚ 10โ”‚10โ”‚ 12โ”‚12โ”‚ 13โ”‚13โ”‚ 16โ”‚16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Male
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚            QN27           โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                  โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  1โ”‚ 1โ”‚  4โ”‚ 4โ”‚  6โ”‚ 6โ”‚  8โ”‚ 8โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  1โ”‚ 1โ”‚  4โ”‚ 4โ”‚  6โ”‚ 6โ”‚  8โ”‚ 8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  9โ”‚ 9โ”‚ 11โ”‚11โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Subtable IDโ”‚  9โ”‚ 9โ”‚ 11โ”‚11โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚            QN27           โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                  โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚
+โ”‚                       Subtable IDโ”‚ 17โ”‚17โ”‚ 19โ”‚19โ”‚ 21โ”‚21โ”‚ 23โ”‚23โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚
+โ”‚                       Subtable IDโ”‚ 17โ”‚17โ”‚ 19โ”‚19โ”‚ 21โ”‚21โ”‚ 23โ”‚23โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚
+โ”‚                       Subtable IDโ”‚ 25โ”‚25โ”‚ 28โ”‚28โ”‚ 29โ”‚29โ”‚ 32โ”‚32โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚
+โ”‚                       Subtable IDโ”‚ 25โ”‚25โ”‚ 28โ”‚28โ”‚ 29โ”‚29โ”‚ 32โ”‚32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                  โ”‚            QN27           โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                  โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                  โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                  โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚
+โ”‚                       Subtable IDโ”‚ 18โ”‚18โ”‚ 20โ”‚20โ”‚ 22โ”‚22โ”‚ 24โ”‚24โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚
+โ”‚                       Subtable IDโ”‚ 18โ”‚18โ”‚ 20โ”‚20โ”‚ 22โ”‚22โ”‚ 24โ”‚24โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚
+โ”‚                       Subtable IDโ”‚ 26โ”‚26โ”‚ 27โ”‚27โ”‚ 30โ”‚30โ”‚ 31โ”‚31โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Table ID   โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚                       Layer ID   โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚
+โ”‚                       Subtable IDโ”‚ 26โ”‚26โ”‚ 27โ”‚27โ”‚ 30โ”‚30โ”‚ 31โ”‚31โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Male
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚            QN27           โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                   โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Row ID      โ”‚  1โ”‚ 1โ”‚  3โ”‚ 3โ”‚  6โ”‚ 6โ”‚  8โ”‚ 8โ”‚
+โ”‚                       Layer Row IDโ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚  1โ”‚ 1โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚  9โ”‚ 9โ”‚ 11โ”‚11โ”‚ 14โ”‚14โ”‚ 15โ”‚15โ”‚
+โ”‚                       Layer Row IDโ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚  3โ”‚ 3โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Row ID      โ”‚ 18โ”‚18โ”‚ 20โ”‚20โ”‚ 22โ”‚22โ”‚ 23โ”‚23โ”‚
+โ”‚                       Layer Row IDโ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚  6โ”‚ 6โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 26โ”‚26โ”‚ 28โ”‚28โ”‚ 29โ”‚29โ”‚ 32โ”‚32โ”‚
+โ”‚                       Layer Row IDโ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚  8โ”‚ 8โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Male
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚            QN27           โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                   โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Row ID      โ”‚  2โ”‚ 2โ”‚  4โ”‚ 4โ”‚  5โ”‚ 5โ”‚  7โ”‚ 7โ”‚
+โ”‚                       Layer Row IDโ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚  2โ”‚ 2โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 10โ”‚10โ”‚ 12โ”‚12โ”‚ 13โ”‚13โ”‚ 16โ”‚16โ”‚
+โ”‚                       Layer Row IDโ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚  4โ”‚ 4โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Row ID      โ”‚ 17โ”‚17โ”‚ 19โ”‚19โ”‚ 21โ”‚21โ”‚ 24โ”‚24โ”‚
+โ”‚                       Layer Row IDโ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚  5โ”‚ 5โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 25โ”‚25โ”‚ 27โ”‚27โ”‚ 30โ”‚30โ”‚ 31โ”‚31โ”‚
+โ”‚                       Layer Row IDโ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚  7โ”‚ 7โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚            QN27           โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                   โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Row ID      โ”‚ 33โ”‚33โ”‚ 36โ”‚36โ”‚ 38โ”‚38โ”‚ 40โ”‚40โ”‚
+โ”‚                       Layer Row IDโ”‚  9โ”‚ 9โ”‚  9โ”‚ 9โ”‚  9โ”‚ 9โ”‚  9โ”‚ 9โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 42โ”‚42โ”‚ 43โ”‚43โ”‚ 45โ”‚45โ”‚ 47โ”‚47โ”‚
+โ”‚                       Layer Row IDโ”‚ 12โ”‚12โ”‚ 12โ”‚12โ”‚ 12โ”‚12โ”‚ 12โ”‚12โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Row ID      โ”‚ 50โ”‚50โ”‚ 52โ”‚52โ”‚ 53โ”‚53โ”‚ 56โ”‚56โ”‚
+โ”‚                       Layer Row IDโ”‚ 14โ”‚14โ”‚ 14โ”‚14โ”‚ 14โ”‚14โ”‚ 14โ”‚14โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 57โ”‚57โ”‚ 60โ”‚60โ”‚ 61โ”‚61โ”‚ 63โ”‚63โ”‚
+โ”‚                       Layer Row IDโ”‚ 15โ”‚15โ”‚ 15โ”‚15โ”‚ 15โ”‚15โ”‚ 15โ”‚15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                   โ”‚            QN27           โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                   โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                   โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                   โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Row ID      โ”‚ 34โ”‚34โ”‚ 35โ”‚35โ”‚ 37โ”‚37โ”‚ 39โ”‚39โ”‚
+โ”‚                       Layer Row IDโ”‚ 10โ”‚10โ”‚ 10โ”‚10โ”‚ 10โ”‚10โ”‚ 10โ”‚10โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 41โ”‚41โ”‚ 44โ”‚44โ”‚ 46โ”‚46โ”‚ 48โ”‚48โ”‚
+โ”‚                       Layer Row IDโ”‚ 11โ”‚11โ”‚ 11โ”‚11โ”‚ 11โ”‚11โ”‚ 11โ”‚11โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Row ID      โ”‚ 49โ”‚49โ”‚ 51โ”‚51โ”‚ 54โ”‚54โ”‚ 55โ”‚55โ”‚
+โ”‚                       Layer Row IDโ”‚ 13โ”‚13โ”‚ 13โ”‚13โ”‚ 13โ”‚13โ”‚ 13โ”‚13โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Row ID      โ”‚ 58โ”‚58โ”‚ 59โ”‚59โ”‚ 62โ”‚62โ”‚ 64โ”‚64โ”‚
+โ”‚                       Layer Row IDโ”‚ 16โ”‚16โ”‚ 16โ”‚16โ”‚ 16โ”‚16โ”‚ 16โ”‚16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                            Custom Tables
+Male
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚            QN27           โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                      โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Column ID      โ”‚  2โ”‚ 4โ”‚  6โ”‚ 7โ”‚ 10โ”‚11โ”‚ 14โ”‚15โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 4โ”‚  6โ”‚ 7โ”‚ 10โ”‚11โ”‚ 14โ”‚15โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚  2โ”‚ 4โ”‚  6โ”‚ 7โ”‚ 10โ”‚11โ”‚ 14โ”‚15โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 4โ”‚  6โ”‚ 7โ”‚ 10โ”‚11โ”‚ 14โ”‚15โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Column ID      โ”‚ 18โ”‚19โ”‚ 21โ”‚23โ”‚ 25โ”‚28โ”‚ 29โ”‚32โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 4โ”‚  6โ”‚ 7โ”‚ 10โ”‚11โ”‚ 14โ”‚15โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 18โ”‚19โ”‚ 21โ”‚23โ”‚ 25โ”‚28โ”‚ 29โ”‚32โ”‚
+โ”‚                       Layer Column IDโ”‚  2โ”‚ 4โ”‚  6โ”‚ 7โ”‚ 10โ”‚11โ”‚ 14โ”‚15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                            Custom Tables
+Male
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚            QN27           โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                      โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Column ID      โ”‚  1โ”‚ 3โ”‚  5โ”‚ 8โ”‚  9โ”‚12โ”‚ 13โ”‚16โ”‚
+โ”‚                       Layer Column IDโ”‚  1โ”‚ 3โ”‚  5โ”‚ 8โ”‚  9โ”‚12โ”‚ 13โ”‚16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚  1โ”‚ 3โ”‚  5โ”‚ 8โ”‚  9โ”‚12โ”‚ 13โ”‚16โ”‚
+โ”‚                       Layer Column IDโ”‚  1โ”‚ 3โ”‚  5โ”‚ 8โ”‚  9โ”‚12โ”‚ 13โ”‚16โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Column ID      โ”‚ 17โ”‚20โ”‚ 22โ”‚24โ”‚ 26โ”‚27โ”‚ 30โ”‚31โ”‚
+โ”‚                       Layer Column IDโ”‚  1โ”‚ 3โ”‚  5โ”‚ 8โ”‚  9โ”‚12โ”‚ 13โ”‚16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 17โ”‚20โ”‚ 22โ”‚24โ”‚ 26โ”‚27โ”‚ 30โ”‚31โ”‚
+โ”‚                       Layer Column IDโ”‚  1โ”‚ 3โ”‚  5โ”‚ 8โ”‚  9โ”‚12โ”‚ 13โ”‚16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                            Custom Tables
+Female
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚            QN27           โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                      โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Column ID      โ”‚ 34โ”‚35โ”‚ 37โ”‚39โ”‚ 41โ”‚44โ”‚ 45โ”‚47โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚19โ”‚ 21โ”‚23โ”‚ 25โ”‚28โ”‚ 29โ”‚31โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 34โ”‚35โ”‚ 37โ”‚39โ”‚ 41โ”‚44โ”‚ 45โ”‚47โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚19โ”‚ 21โ”‚23โ”‚ 25โ”‚28โ”‚ 29โ”‚31โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Column ID      โ”‚ 50โ”‚51โ”‚ 53โ”‚55โ”‚ 57โ”‚59โ”‚ 62โ”‚64โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚19โ”‚ 21โ”‚23โ”‚ 25โ”‚28โ”‚ 29โ”‚31โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 50โ”‚51โ”‚ 53โ”‚55โ”‚ 57โ”‚59โ”‚ 62โ”‚64โ”‚
+โ”‚                       Layer Column IDโ”‚ 18โ”‚19โ”‚ 21โ”‚23โ”‚ 25โ”‚28โ”‚ 29โ”‚31โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+
+                            Custom Tables
+Female
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚            QN27           โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚     Yes     โ”‚      No     โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚    QND7A    โ”‚    QND7A    โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  Yes โ”‚  No  โ”‚  Yes โ”‚  No  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚ QN86 โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ผโ”€โ”€โ”€โ”ฌโ”€โ”€โ”ค
+โ”‚                                      โ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚Yesโ”‚Noโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Column ID      โ”‚ 33โ”‚36โ”‚ 38โ”‚40โ”‚ 42โ”‚43โ”‚ 46โ”‚48โ”‚
+โ”‚                       Layer Column IDโ”‚ 17โ”‚20โ”‚ 22โ”‚24โ”‚ 26โ”‚27โ”‚ 30โ”‚32โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 33โ”‚36โ”‚ 38โ”‚40โ”‚ 42โ”‚43โ”‚ 46โ”‚48โ”‚
+โ”‚                       Layer Column IDโ”‚ 17โ”‚20โ”‚ 22โ”‚24โ”‚ 26โ”‚27โ”‚ 30โ”‚32โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Column ID      โ”‚ 49โ”‚52โ”‚ 54โ”‚56โ”‚ 58โ”‚60โ”‚ 61โ”‚63โ”‚
+โ”‚                       Layer Column IDโ”‚ 17โ”‚20โ”‚ 22โ”‚24โ”‚ 26โ”‚27โ”‚ 30โ”‚32โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ผโ”€โ”€โ”€โ”ผโ”€โ”€โ”ค
+โ”‚              No  QN57 Column ID      โ”‚ 49โ”‚52โ”‚ 54โ”‚56โ”‚ 58โ”‚60โ”‚ 61โ”‚63โ”‚
+โ”‚                       Layer Column IDโ”‚ 17โ”‚20โ”‚ 22โ”‚24โ”‚ 26โ”‚27โ”‚ 30โ”‚32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ”ดโ”€โ”€โ”€โ”ดโ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES area definitions with CLABELS COLLABELS=LAYER])
+AT_KEYWORDS([COLLABELS LAYER])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /VLABELS VARIABLES=ALL DISPLAY=NAME
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[TABLEID, LAYERID, SUBTABLEID]
+    /SLABELS POSITION=ROW
+    /CLABELS COLLABELS=LAYER
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[ROWID, LAYERROWID]
+    /SLABELS POSITION=ROW
+    /CLABELS COLLABELS=LAYER
+    /TABLE qn26 > qn61 > qn57 BY qn27 > qnd7a > qn86 BY qns3a[COLID, LAYERCOLID]
+    /SLABELS POSITION=ROW
+    /CLABELS COLLABELS=LAYER.
+]])
+AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
+                        Custom Tables
+Male
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚        QN27       โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚   2โ”‚   2โ”‚   4โ”‚   4โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚   2โ”‚   2โ”‚   4โ”‚   4โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚   5โ”‚   5โ”‚   7โ”‚   7โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚   5โ”‚   5โ”‚   7โ”‚   7โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚  10โ”‚  10โ”‚  12โ”‚  12โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚  10โ”‚  10โ”‚  12โ”‚  12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚  13โ”‚  13โ”‚  15โ”‚  15โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                           Subtable IDโ”‚  13โ”‚  13โ”‚  15โ”‚  15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Male
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚        QN27       โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚   1โ”‚   1โ”‚   3โ”‚   3โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚   1โ”‚   1โ”‚   3โ”‚   3โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚   6โ”‚   6โ”‚   8โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚   6โ”‚   6โ”‚   8โ”‚   8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚   9โ”‚   9โ”‚  11โ”‚  11โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚   9โ”‚   9โ”‚  11โ”‚  11โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚  14โ”‚  14โ”‚  16โ”‚  16โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Subtable IDโ”‚  14โ”‚  14โ”‚  16โ”‚  16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Female
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚        QN27       โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  18โ”‚  18โ”‚  19โ”‚  19โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  18โ”‚  18โ”‚  19โ”‚  19โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  22โ”‚  22โ”‚  23โ”‚  23โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  22โ”‚  22โ”‚  23โ”‚  23โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  26โ”‚  26โ”‚  28โ”‚  28โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  26โ”‚  26โ”‚  28โ”‚  28โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  29โ”‚  29โ”‚  31โ”‚  31โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚                           Subtable IDโ”‚  29โ”‚  29โ”‚  31โ”‚  31โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Female
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                      โ”‚        QN27       โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                      โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                      โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  17โ”‚  17โ”‚  20โ”‚  20โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  17โ”‚  17โ”‚  20โ”‚  20โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  21โ”‚  21โ”‚  24โ”‚  24โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  21โ”‚  21โ”‚  24โ”‚  24โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  25โ”‚  25โ”‚  27โ”‚  27โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  25โ”‚  25โ”‚  27โ”‚  27โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  30โ”‚  30โ”‚  32โ”‚  32โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Table ID   โ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                           Layer ID   โ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚                           Subtable IDโ”‚  30โ”‚  30โ”‚  32โ”‚  32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Male
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                       โ”‚        QN27       โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Row ID      โ”‚   2โ”‚   2โ”‚   3โ”‚   3โ”‚
+โ”‚                           Layer Row IDโ”‚   2โ”‚   2โ”‚   2โ”‚   2โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚   5โ”‚   5โ”‚   7โ”‚   7โ”‚
+โ”‚                           Layer Row IDโ”‚   3โ”‚   3โ”‚   3โ”‚   3โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  10โ”‚  10โ”‚  11โ”‚  11โ”‚
+โ”‚                           Layer Row IDโ”‚   6โ”‚   6โ”‚   6โ”‚   6โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  14โ”‚  14โ”‚  16โ”‚  16โ”‚
+โ”‚                           Layer Row IDโ”‚   8โ”‚   8โ”‚   8โ”‚   8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Row ID      โ”‚  17โ”‚  17โ”‚  19โ”‚  19โ”‚
+โ”‚                           Layer Row IDโ”‚   9โ”‚   9โ”‚   9โ”‚   9โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  21โ”‚  21โ”‚  23โ”‚  23โ”‚
+โ”‚                           Layer Row IDโ”‚  11โ”‚  11โ”‚  11โ”‚  11โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  26โ”‚  26โ”‚  28โ”‚  28โ”‚
+โ”‚                           Layer Row IDโ”‚  14โ”‚  14โ”‚  14โ”‚  14โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  30โ”‚  30โ”‚  32โ”‚  32โ”‚
+โ”‚                           Layer Row IDโ”‚  16โ”‚  16โ”‚  16โ”‚  16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Male
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                       โ”‚        QN27       โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Row ID      โ”‚   1โ”‚   1โ”‚   4โ”‚   4โ”‚
+โ”‚                           Layer Row IDโ”‚   1โ”‚   1โ”‚   1โ”‚   1โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚   6โ”‚   6โ”‚   8โ”‚   8โ”‚
+โ”‚                           Layer Row IDโ”‚   4โ”‚   4โ”‚   4โ”‚   4โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚   9โ”‚   9โ”‚  12โ”‚  12โ”‚
+โ”‚                           Layer Row IDโ”‚   5โ”‚   5โ”‚   5โ”‚   5โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  13โ”‚  13โ”‚  15โ”‚  15โ”‚
+โ”‚                           Layer Row IDโ”‚   7โ”‚   7โ”‚   7โ”‚   7โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Row ID      โ”‚  18โ”‚  18โ”‚  20โ”‚  20โ”‚
+โ”‚                           Layer Row IDโ”‚  10โ”‚  10โ”‚  10โ”‚  10โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  22โ”‚  22โ”‚  24โ”‚  24โ”‚
+โ”‚                           Layer Row IDโ”‚  12โ”‚  12โ”‚  12โ”‚  12โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  25โ”‚  25โ”‚  27โ”‚  27โ”‚
+โ”‚                           Layer Row IDโ”‚  13โ”‚  13โ”‚  13โ”‚  13โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  29โ”‚  29โ”‚  31โ”‚  31โ”‚
+โ”‚                           Layer Row IDโ”‚  15โ”‚  15โ”‚  15โ”‚  15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Female
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                       โ”‚        QN27       โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Row ID      โ”‚  33โ”‚  33โ”‚  36โ”‚  36โ”‚
+โ”‚                           Layer Row IDโ”‚  17โ”‚  17โ”‚  17โ”‚  17โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  37โ”‚  37โ”‚  39โ”‚  39โ”‚
+โ”‚                           Layer Row IDโ”‚  19โ”‚  19โ”‚  19โ”‚  19โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  41โ”‚  41โ”‚  44โ”‚  44โ”‚
+โ”‚                           Layer Row IDโ”‚  21โ”‚  21โ”‚  21โ”‚  21โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  45โ”‚  45โ”‚  48โ”‚  48โ”‚
+โ”‚                           Layer Row IDโ”‚  23โ”‚  23โ”‚  23โ”‚  23โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Row ID      โ”‚  49โ”‚  49โ”‚  52โ”‚  52โ”‚
+โ”‚                           Layer Row IDโ”‚  25โ”‚  25โ”‚  25โ”‚  25โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  53โ”‚  53โ”‚  55โ”‚  55โ”‚
+โ”‚                           Layer Row IDโ”‚  27โ”‚  27โ”‚  27โ”‚  27โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  58โ”‚  58โ”‚  59โ”‚  59โ”‚
+โ”‚                           Layer Row IDโ”‚  30โ”‚  30โ”‚  30โ”‚  30โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  62โ”‚  62โ”‚  64โ”‚  64โ”‚
+โ”‚                           Layer Row IDโ”‚  32โ”‚  32โ”‚  32โ”‚  32โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                        Custom Tables
+Female
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                       โ”‚        QN27       โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                       โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                       โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Row ID      โ”‚  34โ”‚  34โ”‚  35โ”‚  35โ”‚
+โ”‚                           Layer Row IDโ”‚  18โ”‚  18โ”‚  18โ”‚  18โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  38โ”‚  38โ”‚  40โ”‚  40โ”‚
+โ”‚                           Layer Row IDโ”‚  20โ”‚  20โ”‚  20โ”‚  20โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  42โ”‚  42โ”‚  43โ”‚  43โ”‚
+โ”‚                           Layer Row IDโ”‚  22โ”‚  22โ”‚  22โ”‚  22โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  46โ”‚  46โ”‚  47โ”‚  47โ”‚
+โ”‚                           Layer Row IDโ”‚  24โ”‚  24โ”‚  24โ”‚  24โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Row ID      โ”‚  50โ”‚  50โ”‚  51โ”‚  51โ”‚
+โ”‚                           Layer Row IDโ”‚  26โ”‚  26โ”‚  26โ”‚  26โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  54โ”‚  54โ”‚  56โ”‚  56โ”‚
+โ”‚                           Layer Row IDโ”‚  28โ”‚  28โ”‚  28โ”‚  28โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Row ID      โ”‚  57โ”‚  57โ”‚  60โ”‚  60โ”‚
+โ”‚                           Layer Row IDโ”‚  29โ”‚  29โ”‚  29โ”‚  29โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Row ID      โ”‚  61โ”‚  61โ”‚  63โ”‚  63โ”‚
+โ”‚                           Layer Row IDโ”‚  31โ”‚  31โ”‚  31โ”‚  31โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Male
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                          โ”‚        QN27       โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Column ID      โ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚   9โ”‚  12โ”‚  14โ”‚  15โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚   9โ”‚  12โ”‚  14โ”‚  15โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Column ID      โ”‚  18โ”‚  20โ”‚  22โ”‚  24โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  18โ”‚  20โ”‚  22โ”‚  24โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  26โ”‚  27โ”‚  30โ”‚  31โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  26โ”‚  27โ”‚  30โ”‚  31โ”‚
+โ”‚                           Layer Column IDโ”‚   1โ”‚   4โ”‚   5โ”‚   7โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Male
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                          โ”‚        QN27       โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Column ID      โ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  10โ”‚  11โ”‚  13โ”‚  16โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  10โ”‚  11โ”‚  13โ”‚  16โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Column ID      โ”‚  17โ”‚  19โ”‚  21โ”‚  23โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  17โ”‚  19โ”‚  21โ”‚  23โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  25โ”‚  28โ”‚  29โ”‚  32โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  25โ”‚  28โ”‚  29โ”‚  32โ”‚
+โ”‚                           Layer Column IDโ”‚   2โ”‚   3โ”‚   6โ”‚   8โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+Yes
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                          โ”‚        QN27       โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Column ID      โ”‚  34โ”‚  36โ”‚  37โ”‚  39โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  34โ”‚  36โ”‚  37โ”‚  39โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  41โ”‚  43โ”‚  46โ”‚  48โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  41โ”‚  43โ”‚  46โ”‚  48โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Column ID      โ”‚  50โ”‚  51โ”‚  53โ”‚  55โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  50โ”‚  51โ”‚  53โ”‚  55โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  58โ”‚  60โ”‚  62โ”‚  64โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  58โ”‚  60โ”‚  62โ”‚  64โ”‚
+โ”‚                           Layer Column IDโ”‚  10โ”‚  12โ”‚  13โ”‚  15โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+                          Custom Tables
+Female
+No
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                          โ”‚        QN27       โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚   Yes   โ”‚    No   โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚  QND7A  โ”‚  QND7A  โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚ Yesโ”‚ No โ”‚ Yesโ”‚ No โ”‚
+โ”‚                                          โ”œโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                                          โ”‚QN86โ”‚QN86โ”‚QN86โ”‚QN86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚QN26 Yes QN61 Yes QN57 Yes Column ID      โ”‚  33โ”‚  35โ”‚  38โ”‚  40โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  33โ”‚  35โ”‚  38โ”‚  40โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  42โ”‚  44โ”‚  45โ”‚  47โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  42โ”‚  44โ”‚  45โ”‚  47โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚    โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚     No  QN61 Yes QN57 Yes Column ID      โ”‚  49โ”‚  52โ”‚  54โ”‚  56โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  49โ”‚  52โ”‚  54โ”‚  56โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚             โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚              No  QN57 Yes Column ID      โ”‚  57โ”‚  59โ”‚  61โ”‚  63โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ”‚                      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚                       No  Column ID      โ”‚  57โ”‚  59โ”‚  61โ”‚  63โ”‚
+โ”‚                           Layer Column IDโ”‚   9โ”‚  11โ”‚  14โ”‚  16โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES categorical summary functions])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /TABLE region BY qnd5a[COUNT, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, TOTAL[COUNT, VALIDN, TOTALN]]
+    /CATEGORIES VARIABLES=qnd5a TOTAL=YES MISSING=INCLUDE
+    /SLABELS POSITION=ROW.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+                                                      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                 โ”‚                     D5a. What would you say is your primary ethnic background?                     โ”‚
+โ”‚                 โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                 โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚  Multiple -  โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚                 โ”‚     โ”‚       โ”‚       โ”‚   South  โ”‚  Central โ”‚  Puerto โ”‚ Somethingโ”‚ cannot chooseโ”‚ Don'tโ”‚       โ”‚     โ”‚
+โ”‚                 โ”‚Cubanโ”‚Mexicanโ”‚Spanishโ”‚ American โ”‚ American โ”‚Rican, ORโ”‚   else   โ”‚      one     โ”‚ know โ”‚Refusedโ”‚Totalโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Region NE Count  โ”‚    6โ”‚      8โ”‚      8โ”‚        11โ”‚         7โ”‚       39โ”‚        23โ”‚             2โ”‚     0โ”‚      1โ”‚  105โ”‚
+โ”‚          Row %  โ”‚ 5.7%โ”‚   7.6%โ”‚   7.6%โ”‚     10.5%โ”‚      6.7%โ”‚    37.1%โ”‚     21.9%โ”‚          1.9%โ”‚   .0%โ”‚   1.0%โ”‚     โ”‚
+โ”‚          Row    โ”‚ 5.8%โ”‚   7.7%โ”‚   7.7%โ”‚     10.6%โ”‚      6.7%โ”‚    37.5%โ”‚     22.1%โ”‚          1.9%โ”‚   .0%โ”‚    .0%โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Row    โ”‚  .4%โ”‚    .6%โ”‚    .6%โ”‚       .8%โ”‚       .5%โ”‚     2.8%โ”‚      1.6%โ”‚           .1%โ”‚   .0%โ”‚    .1%โ”‚     โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚  104โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚ 1409โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       MW Count  โ”‚    3โ”‚     24โ”‚      1โ”‚         4โ”‚         5โ”‚        9โ”‚         6โ”‚             0โ”‚     0โ”‚      1โ”‚   53โ”‚
+โ”‚          Row %  โ”‚ 5.7%โ”‚  45.3%โ”‚   1.9%โ”‚      7.5%โ”‚      9.4%โ”‚    17.0%โ”‚     11.3%โ”‚           .0%โ”‚   .0%โ”‚   1.9%โ”‚     โ”‚
+โ”‚          Row    โ”‚ 5.8%โ”‚  46.2%โ”‚   1.9%โ”‚      7.7%โ”‚      9.6%โ”‚    17.3%โ”‚     11.5%โ”‚           .0%โ”‚   .0%โ”‚    .0%โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Row    โ”‚  .2%โ”‚   1.5%โ”‚    .1%โ”‚       .2%โ”‚       .3%โ”‚      .5%โ”‚       .4%โ”‚           .0%โ”‚   .0%โ”‚    .1%โ”‚     โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚   52โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚ 1654โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       S  Count  โ”‚   10โ”‚    113โ”‚     11โ”‚        14โ”‚        25โ”‚       23โ”‚        20โ”‚             2โ”‚     3โ”‚      2โ”‚  223โ”‚
+โ”‚          Row %  โ”‚ 4.5%โ”‚  50.7%โ”‚   4.9%โ”‚      6.3%โ”‚     11.2%โ”‚    10.3%โ”‚      9.0%โ”‚           .9%โ”‚  1.3%โ”‚    .9%โ”‚     โ”‚
+โ”‚          Row    โ”‚ 4.6%โ”‚  51.8%โ”‚   5.0%โ”‚      6.4%โ”‚     11.5%โ”‚    10.6%โ”‚      9.2%โ”‚           .9%โ”‚   .0%โ”‚    .0%โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Row    โ”‚  .4%โ”‚   4.7%โ”‚    .5%โ”‚       .6%โ”‚      1.0%โ”‚     1.0%โ”‚       .8%โ”‚           .1%โ”‚   .1%โ”‚    .1%โ”‚     โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚  218โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚ 2390โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       W  Count  โ”‚    1โ”‚    166โ”‚     28โ”‚         5โ”‚        15โ”‚        7โ”‚        19โ”‚             3โ”‚     0โ”‚      1โ”‚  245โ”‚
+โ”‚          Row %  โ”‚  .4%โ”‚  67.8%โ”‚  11.4%โ”‚      2.0%โ”‚      6.1%โ”‚     2.9%โ”‚      7.8%โ”‚          1.2%โ”‚   .0%โ”‚    .4%โ”‚     โ”‚
+โ”‚          Row    โ”‚  .4%โ”‚  68.0%โ”‚  11.5%โ”‚      2.0%โ”‚      6.1%โ”‚     2.9%โ”‚      7.8%โ”‚          1.2%โ”‚   .0%โ”‚    .0%โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Row    โ”‚  .1%โ”‚  10.7%โ”‚   1.8%โ”‚       .3%โ”‚      1.0%โ”‚      .5%โ”‚      1.2%โ”‚           .2%โ”‚   .0%โ”‚    .1%โ”‚     โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          %      โ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚     โ”‚
+โ”‚          Valid Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚  244โ”‚
+โ”‚          Total Nโ”‚     โ”‚       โ”‚       โ”‚          โ”‚          โ”‚         โ”‚          โ”‚              โ”‚      โ”‚       โ”‚ 1546โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES scale summary functions])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+SET TVAR=NAME.
+
+* Use SPLIT FILE with FREQUENCIES to generate output equivalent to
+  CTABLES later, to make the results easier to verify.
+SPLIT FILE BY REGION.
+FREQUENCIES
+    qn19a
+    /STATISTICS=MEAN SEMEAN MEDIAN MODE STDDEV VARIANCE RANGE MINIMUM MAXIMUM SUM
+    /FORMAT NOTABLE /MISSING=INCLUDE.
+SPLIT FILE OFF.
+
+CTABLES
+    /VLABELS VARIABLE=qn19a DISPLAY=NONE
+    /TABLE region BY qn19a[VALIDN, MISSING, MEAN, SEMEAN, MEDIAN, MODE, STDDEV, VARIANCE, RANGE, MINIMUM, MAXIMUM, SUM, COUNT, TOTALN, ROWPCT.SUM]
+    /CATEGORIES VARIABLES=qn19a TOTAL=YES MISSING=INCLUDE
+    /SLABELS POSITION=ROW
+    /CLABELS ROWLABELS=OPPOSITE.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+                   Statistics
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚               REGION              โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚   NE   โ”‚   MW   โ”‚    S   โ”‚    W   โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚  QN19A โ”‚  QN19A โ”‚  QN19A โ”‚  QN19A โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚N Valid  โ”‚     936โ”‚    1019โ”‚    1276โ”‚     950โ”‚
+โ”‚  Missingโ”‚     473โ”‚     635โ”‚    1114โ”‚     596โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mean     โ”‚   19.33โ”‚   19.83โ”‚   20.29โ”‚   19.87โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S.E. Meanโ”‚     .14โ”‚     .16โ”‚     .18โ”‚     .17โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Median   โ”‚   18.00โ”‚   19.00โ”‚   19.00โ”‚   19.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mode     โ”‚   18.00โ”‚   18.00โ”‚   18.00โ”‚   18.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Std Dev  โ”‚    4.41โ”‚    5.15โ”‚    6.44โ”‚    5.25โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Variance โ”‚   19.41โ”‚   26.47โ”‚   41.43โ”‚   27.59โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Range    โ”‚   59.00โ”‚   71.00โ”‚   75.00โ”‚   61.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Minimum  โ”‚     .00โ”‚    4.00โ”‚    4.00โ”‚    4.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Maximum  โ”‚   59.00โ”‚   75.00โ”‚   79.00โ”‚   65.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sum      โ”‚18092.00โ”‚20206.00โ”‚25886.00โ”‚18877.00โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                         Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                        โ”‚   NE   โ”‚   MW   โ”‚    S   โ”‚    W   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚REGION Valid N          โ”‚     936โ”‚    1019โ”‚    1276โ”‚     950โ”‚
+โ”‚       Missing          โ”‚  473.00โ”‚  635.00โ”‚ 1114.00โ”‚  596.00โ”‚
+โ”‚       Mean             โ”‚   19.33โ”‚   19.83โ”‚   20.29โ”‚   19.87โ”‚
+โ”‚       Std Error of Meanโ”‚     .14โ”‚     .16โ”‚     .18โ”‚     .17โ”‚
+โ”‚       Median           โ”‚   18.00โ”‚   19.00โ”‚   19.00โ”‚   19.00โ”‚
+โ”‚       Mode             โ”‚   18.00โ”‚   18.00โ”‚   18.00โ”‚   18.00โ”‚
+โ”‚       Std Deviation    โ”‚    4.41โ”‚    5.15โ”‚    6.44โ”‚    5.25โ”‚
+โ”‚       Variance         โ”‚   19.41โ”‚   26.47โ”‚   41.43โ”‚   27.59โ”‚
+โ”‚       Range            โ”‚   59.00โ”‚   71.00โ”‚   75.00โ”‚   61.00โ”‚
+โ”‚       Minimum          โ”‚     .00โ”‚    4.00โ”‚    4.00โ”‚    4.00โ”‚
+โ”‚       Maximum          โ”‚   59.00โ”‚   75.00โ”‚   79.00โ”‚   65.00โ”‚
+โ”‚       Sum              โ”‚18092.00โ”‚20206.00โ”‚25886.00โ”‚18877.00โ”‚
+โ”‚       Count            โ”‚    1409โ”‚    1654โ”‚    2390โ”‚    1546โ”‚
+โ”‚       Total N          โ”‚    1409โ”‚    1654โ”‚    2390โ”‚    1546โ”‚
+โ”‚       Row Sum %        โ”‚   21.8%โ”‚   24.3%โ”‚   31.2%โ”‚   22.7%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES scale summary functions - weighting])
+weight=1
+c=10
+for a in 1 2 9; do
+    for b in 3 4 9; do
+        for n in 1 2 3 4 5 6 7 8 9 10; do
+           if test $c -lt 15; then
+               cval=.
+           else
+               cval=$c
+           fi
+           printf "$weight $a $b $cval\n"
+           weight=$(expr \( $weight + 3 \) % 7 + 2)
+           c=$(expr \( $c + 13 \) % 29 + 7)
+        done
+    done
+done > ctables.txt
+
+AT_DATA([analysis.sps],
+[[* Use SPLIT FILE with FREQUENCIES to generate output equivalent to
+  CTABLES later, to make the results easier to verify.
+SPLIT FILE BY a b.
+FREQUENCIES
+    c
+    /STATISTICS=MEAN SEMEAN MEDIAN MODE STDDEV VARIANCE RANGE MINIMUM MAXIMUM SUM
+    /FORMAT NOTABLE /MISSING=INCLUDE.
+SPLIT FILE OFF.
+
+CTABLES
+    /TABLE c[VALIDN, MISSING, MEAN F8.2, SEMEAN F8.2, MEDIAN F8.2, MODE, STDDEV F8.2, VARIANCE F8.2, RANGE F8.2, MINIMUM, MAXIMUM, SUM F8.2, COUNT, TOTALN, LAYERROWPCT.SUM] BY a>b
+    /SLABELS POSITION=ROW
+    /CATEGORIES VARIABLES=a b MISSING=INCLUDE.
+]])
+
+AT_DATA([ctables.sps],
+[[DATA LIST LIST NOTABLE FILE='ctables.txt'
+    /w (F5.0) a b c (f2.0).
+VAR LEVEL w c (SCALE) a b (NOMINAL).
+MISSING VALUES a b (9).
+
+INCLUDE 'analysis.sps'.
+
+WEIGHT BY w.
+INCLUDE 'analysis.sps'.
+
+* Same as original analysis using unweighted versions of summaries.
+CTABLES
+    /TABLE c[UVALIDN, UMISSING, UMEAN F8.2, USEMEAN F8.2, UMEDIAN F8.2, UMODE, USTDDEV F8.2, UVARIANCE F8.2, USUM F8.2, UCOUNT, UTOTALN, ULAYERROWPCT.SUM] BY a>b
+    /SLABELS POSITION=ROW
+    /CATEGORIES VARIABLES=a b MISSING=INCLUDE.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
+                                Statistics
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚                               a                              โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚          1         โ”‚          2         โ”‚          9         โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚          b         โ”‚          b         โ”‚          b         โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚   3  โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9  โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚N Valid  โ”‚     7โ”‚     6โ”‚     8โ”‚     7โ”‚     7โ”‚     8โ”‚     7โ”‚     7โ”‚     8โ”‚
+โ”‚  Missingโ”‚     3โ”‚     4โ”‚     2โ”‚     3โ”‚     3โ”‚     2โ”‚     3โ”‚     3โ”‚     2โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mean     โ”‚ 25.86โ”‚ 24.50โ”‚ 24.63โ”‚ 25.86โ”‚ 25.71โ”‚ 24.25โ”‚ 25.43โ”‚ 25.29โ”‚ 23.88โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S.E. Meanโ”‚  2.44โ”‚  2.14โ”‚  2.58โ”‚  2.44โ”‚  2.18โ”‚  2.43โ”‚  2.36โ”‚  2.18โ”‚  2.47โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Median   โ”‚ 25.00โ”‚ 24.50โ”‚ 25.00โ”‚ 25.00โ”‚ 27.00โ”‚ 25.00โ”‚ 25.00โ”‚ 24.00โ”‚ 23.50โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mode     โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Std Dev  โ”‚  6.47โ”‚  5.24โ”‚  7.31โ”‚  6.47โ”‚  5.77โ”‚  6.88โ”‚  6.24โ”‚  5.77โ”‚  6.98โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Variance โ”‚ 41.81โ”‚ 27.50โ”‚ 53.41โ”‚ 41.81โ”‚ 33.24โ”‚ 47.36โ”‚ 38.95โ”‚ 33.24โ”‚ 48.70โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Range    โ”‚ 18.00โ”‚ 13.00โ”‚ 20.00โ”‚ 18.00โ”‚ 15.00โ”‚ 20.00โ”‚ 18.00โ”‚ 15.00โ”‚ 20.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Minimum  โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Maximum  โ”‚    34โ”‚    31โ”‚    35โ”‚    34โ”‚    33โ”‚    35โ”‚    34โ”‚    33โ”‚    35โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sum      โ”‚181.00โ”‚147.00โ”‚197.00โ”‚181.00โ”‚180.00โ”‚194.00โ”‚178.00โ”‚177.00โ”‚191.00โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                    Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                   โ”‚                               a                              โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚          1         โ”‚          2         โ”‚          9         โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚          b         โ”‚          b         โ”‚          b         โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚   3  โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚c Valid N          โ”‚     7โ”‚     6โ”‚     8โ”‚     7โ”‚     7โ”‚     8โ”‚     7โ”‚     7โ”‚     8โ”‚
+โ”‚  Missing          โ”‚     3โ”‚     4โ”‚     2โ”‚     3โ”‚     3โ”‚     2โ”‚     3โ”‚     3โ”‚     2โ”‚
+โ”‚  Mean             โ”‚ 25.86โ”‚ 24.50โ”‚ 24.63โ”‚ 25.86โ”‚ 25.71โ”‚ 24.25โ”‚ 25.43โ”‚ 25.29โ”‚ 23.88โ”‚
+โ”‚  Std Error of Meanโ”‚  2.44โ”‚  2.14โ”‚  2.58โ”‚  2.44โ”‚  2.18โ”‚  2.43โ”‚  2.36โ”‚  2.18โ”‚  2.47โ”‚
+โ”‚  Median           โ”‚ 25.00โ”‚ 24.50โ”‚ 25.00โ”‚ 25.00โ”‚ 27.00โ”‚ 25.00โ”‚ 25.00โ”‚ 24.00โ”‚ 23.50โ”‚
+โ”‚  Mode             โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚
+โ”‚  Std Deviation    โ”‚  6.47โ”‚  5.24โ”‚  7.31โ”‚  6.47โ”‚  5.77โ”‚  6.88โ”‚  6.24โ”‚  5.77โ”‚  6.98โ”‚
+โ”‚  Variance         โ”‚ 41.81โ”‚ 27.50โ”‚ 53.41โ”‚ 41.81โ”‚ 33.24โ”‚ 47.36โ”‚ 38.95โ”‚ 33.24โ”‚ 48.70โ”‚
+โ”‚  Range            โ”‚ 18.00โ”‚ 13.00โ”‚ 20.00โ”‚ 18.00โ”‚ 15.00โ”‚ 20.00โ”‚ 18.00โ”‚ 15.00โ”‚ 20.00โ”‚
+โ”‚  Minimum          โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚
+โ”‚  Maximum          โ”‚    34โ”‚    31โ”‚    35โ”‚    34โ”‚    33โ”‚    35โ”‚    34โ”‚    33โ”‚    35โ”‚
+โ”‚  Sum              โ”‚181.00โ”‚147.00โ”‚197.00โ”‚181.00โ”‚180.00โ”‚194.00โ”‚178.00โ”‚177.00โ”‚191.00โ”‚
+โ”‚  Count            โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚
+โ”‚  Total N          โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚
+โ”‚  Layer Row Sum %  โ”‚ 11.1%โ”‚  9.0%โ”‚ 12.1%โ”‚ 11.1%โ”‚ 11.1%โ”‚ 11.9%โ”‚ 10.9%โ”‚ 10.9%โ”‚ 11.7%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Statistics
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚         โ”‚                                a                                โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚          1          โ”‚          2          โ”‚          9          โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚          b          โ”‚          b          โ”‚          b          โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚   3   โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4   โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9   โ”‚
+โ”‚         โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚         โ”‚   c   โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c   โ”‚   c  โ”‚   c  โ”‚   c  โ”‚   c   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚N Valid  โ”‚     40โ”‚    35โ”‚    41โ”‚    26โ”‚     38โ”‚    40โ”‚    34โ”‚    32โ”‚     39โ”‚
+โ”‚  Missingโ”‚      6โ”‚    14โ”‚    11โ”‚    22โ”‚     13โ”‚     7โ”‚    16โ”‚    21โ”‚     10โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mean     โ”‚  27.23โ”‚ 24.20โ”‚ 22.63โ”‚ 27.96โ”‚  27.21โ”‚ 23.48โ”‚ 23.71โ”‚ 25.47โ”‚  26.03โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S.E. Meanโ”‚    .93โ”‚   .75โ”‚  1.03โ”‚  1.12โ”‚    .84โ”‚   .87โ”‚  1.01โ”‚  1.05โ”‚   1.01โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Median   โ”‚  30.00โ”‚ 22.00โ”‚ 19.00โ”‚ 30.00โ”‚  29.00โ”‚ 24.00โ”‚ 23.00โ”‚ 24.00โ”‚  28.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Mode     โ”‚     34โ”‚    29โ”‚    19โ”‚    34โ”‚     33โ”‚    28โ”‚    23โ”‚    18โ”‚     30โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Std Dev  โ”‚   5.89โ”‚  4.42โ”‚  6.59โ”‚  5.69โ”‚   5.16โ”‚  5.50โ”‚  5.87โ”‚  5.94โ”‚   6.30โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Variance โ”‚  34.64โ”‚ 19.52โ”‚ 43.39โ”‚ 32.36โ”‚  26.66โ”‚ 30.20โ”‚ 34.46โ”‚ 35.29โ”‚  39.71โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Range    โ”‚  18.00โ”‚ 13.00โ”‚ 20.00โ”‚ 18.00โ”‚  15.00โ”‚ 20.00โ”‚ 18.00โ”‚ 15.00โ”‚  20.00โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Minimum  โ”‚     16โ”‚    18โ”‚    15โ”‚    16โ”‚     18โ”‚    15โ”‚    16โ”‚    18โ”‚     15โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Maximum  โ”‚     34โ”‚    31โ”‚    35โ”‚    34โ”‚     33โ”‚    35โ”‚    34โ”‚    33โ”‚     35โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Sum      โ”‚1089.00โ”‚847.00โ”‚928.00โ”‚727.00โ”‚1034.00โ”‚939.00โ”‚806.00โ”‚815.00โ”‚1015.00โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                     Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                   โ”‚                                a                                โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚          1          โ”‚          2          โ”‚          9          โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚          b          โ”‚          b          โ”‚          b          โ”‚
+โ”‚                   โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                   โ”‚   3   โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4   โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9   โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚c Valid N          โ”‚     40โ”‚    35โ”‚    41โ”‚    26โ”‚     38โ”‚    40โ”‚    34โ”‚    32โ”‚     39โ”‚
+โ”‚  Missing          โ”‚      6โ”‚    14โ”‚    11โ”‚    22โ”‚     13โ”‚     7โ”‚    16โ”‚    21โ”‚     10โ”‚
+โ”‚  Mean             โ”‚  27.22โ”‚ 24.20โ”‚ 22.63โ”‚ 27.96โ”‚  27.21โ”‚ 23.48โ”‚ 23.71โ”‚ 25.47โ”‚  26.03โ”‚
+โ”‚  Std Error of Meanโ”‚    .93โ”‚   .75โ”‚  1.03โ”‚  1.12โ”‚    .84โ”‚   .87โ”‚  1.01โ”‚  1.05โ”‚   1.01โ”‚
+โ”‚  Median           โ”‚  30.00โ”‚ 22.00โ”‚ 19.00โ”‚ 30.00โ”‚  29.00โ”‚ 24.00โ”‚ 23.00โ”‚ 24.00โ”‚  28.00โ”‚
+โ”‚  Mode             โ”‚     34โ”‚    29โ”‚    19โ”‚    34โ”‚     33โ”‚    28โ”‚    23โ”‚    18โ”‚     30โ”‚
+โ”‚  Std Deviation    โ”‚   5.89โ”‚  4.42โ”‚  6.59โ”‚  5.69โ”‚   5.16โ”‚  5.50โ”‚  5.87โ”‚  5.94โ”‚   6.30โ”‚
+โ”‚  Variance         โ”‚  34.64โ”‚ 19.52โ”‚ 43.39โ”‚ 32.36โ”‚  26.66โ”‚ 30.20โ”‚ 34.46โ”‚ 35.29โ”‚  39.71โ”‚
+โ”‚  Range            โ”‚  18.00โ”‚ 13.00โ”‚ 20.00โ”‚ 18.00โ”‚  15.00โ”‚ 20.00โ”‚ 18.00โ”‚ 15.00โ”‚  20.00โ”‚
+โ”‚  Minimum          โ”‚     16โ”‚    18โ”‚    15โ”‚    16โ”‚     18โ”‚    15โ”‚    16โ”‚    18โ”‚     15โ”‚
+โ”‚  Maximum          โ”‚     34โ”‚    31โ”‚    35โ”‚    34โ”‚     33โ”‚    35โ”‚    34โ”‚    33โ”‚     35โ”‚
+โ”‚  Sum              โ”‚1089.00โ”‚847.00โ”‚928.00โ”‚727.00โ”‚1034.00โ”‚939.00โ”‚806.00โ”‚815.00โ”‚1015.00โ”‚
+โ”‚  Count            โ”‚     46โ”‚    49โ”‚    52โ”‚    48โ”‚     51โ”‚    47โ”‚    50โ”‚    53โ”‚     49โ”‚
+โ”‚  Total N          โ”‚     46โ”‚    49โ”‚    52โ”‚    48โ”‚     51โ”‚    47โ”‚    50โ”‚    53โ”‚     49โ”‚
+โ”‚  Layer Row Sum %  โ”‚  13.3%โ”‚ 10.3%โ”‚ 11.3%โ”‚  8.9%โ”‚  12.6%โ”‚ 11.5%โ”‚  9.8%โ”‚  9.9%โ”‚  12.4%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                         Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                              โ”‚                               a                              โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                              โ”‚          1         โ”‚          2         โ”‚          9         โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                              โ”‚          b         โ”‚          b         โ”‚          b         โ”‚
+โ”‚                              โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                              โ”‚   3  โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9  โ”‚   3  โ”‚   4  โ”‚   9  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚c Unweighted Valid N          โ”‚     7โ”‚     6โ”‚     8โ”‚     7โ”‚     7โ”‚     8โ”‚     7โ”‚     7โ”‚     8โ”‚
+โ”‚  Unweighted Missing          โ”‚     3โ”‚     4โ”‚     2โ”‚     3โ”‚     3โ”‚     2โ”‚     3โ”‚     3โ”‚     2โ”‚
+โ”‚  Unweighted Mean             โ”‚ 25.86โ”‚ 24.50โ”‚ 24.63โ”‚ 25.86โ”‚ 25.71โ”‚ 24.25โ”‚ 25.43โ”‚ 25.29โ”‚ 23.88โ”‚
+โ”‚  Unweighted Std Error of Meanโ”‚  2.44โ”‚  2.14โ”‚  2.58โ”‚  2.44โ”‚  2.18โ”‚  2.43โ”‚  2.36โ”‚  2.18โ”‚  2.47โ”‚
+โ”‚  Unweighted Median           โ”‚ 25.00โ”‚ 24.50โ”‚ 25.00โ”‚ 25.00โ”‚ 27.00โ”‚ 25.00โ”‚ 25.00โ”‚ 24.00โ”‚ 23.50โ”‚
+โ”‚  Unweighted Mode             โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚    16โ”‚    18โ”‚    15โ”‚
+โ”‚  Unweighted Std Deviation    โ”‚  6.47โ”‚  5.24โ”‚  7.31โ”‚  6.47โ”‚  5.77โ”‚  6.88โ”‚  6.24โ”‚  5.77โ”‚  6.98โ”‚
+โ”‚  Unweighted Variance         โ”‚ 41.81โ”‚ 27.50โ”‚ 53.41โ”‚ 41.81โ”‚ 33.24โ”‚ 47.36โ”‚ 38.95โ”‚ 33.24โ”‚ 48.70โ”‚
+โ”‚  Unweighted Sum              โ”‚181.00โ”‚147.00โ”‚197.00โ”‚181.00โ”‚180.00โ”‚194.00โ”‚178.00โ”‚177.00โ”‚191.00โ”‚
+โ”‚  Unweighted Count            โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚
+โ”‚  Unweighted Total N          โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚    10โ”‚
+โ”‚  Unweighted Layer Row Sum %  โ”‚ 11.1%โ”‚  9.0%โ”‚ 12.1%โ”‚ 11.1%โ”‚ 11.1%โ”‚ 11.9%โ”‚ 10.9%โ”‚ 10.9%โ”‚ 11.7%โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES hidden scale VLABELS])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+CTABLES
+    /TABLE region BY qn19a + qn35
+    /SLABELS POSITION=ROW.
+CTABLES
+    /VLABELS VARIABLE=qn19a DISPLAY=NONE
+    /TABLE region BY qn19a + qn35
+    /SLABELS POSITION=ROW.
+CTABLES
+    /VLABELS VARIABLE=qn35 DISPLAY=NONE
+    /TABLE region BY qn19a + qn35
+    /SLABELS POSITION=ROW.
+
+* This one in particular caused a crash because no categories were
+  created on the column axis, so passing in 0 for the index was still
+  too big for that number of categories.  It was fixed by creating a
+  name-only category for each variable despite the "NONE" request,
+  then hiding the entire dimension's labels if all its labels were
+  set to "NONE".
+CTABLES
+    /VLABELS VARIABLE=qn19a qn35 DISPLAY=NONE
+    /TABLE region BY qn19a + qn35
+    /SLABELS POSITION=ROW.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚              โ”‚ 19a. About how old were youโ”‚ 35. In the past thirty days, howโ”‚
+โ”‚              โ”‚   when you first starting  โ”‚   many times have you driven a  โ”‚
+โ”‚              โ”‚    drinking alcohol, not   โ”‚  motor vehicle WITHIN TWO HOURS โ”‚
+โ”‚              โ”‚  counting small tastes or  โ”‚     AFTER drinking alcoholic    โ”‚
+โ”‚              โ”‚      sips of alcohol.      โ”‚            beverages?           โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Region NE Meanโ”‚                       19.33โ”‚                                2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       MW Meanโ”‚                       19.83โ”‚                                2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       S  Meanโ”‚                       20.29โ”‚                                2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       W  Meanโ”‚                       19.87โ”‚                                2โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚              โ”‚     โ”‚  35. In the past thirty days, how many times have you  โ”‚
+โ”‚              โ”‚     โ”‚ driven a motor vehicle WITHIN TWO HOURS AFTER drinking โ”‚
+โ”‚              โ”‚QN19Aโ”‚                  alcoholic beverages?                  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚Region NE Meanโ”‚19.33โ”‚                                                       2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       MW Meanโ”‚19.83โ”‚                                                       2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       S  Meanโ”‚20.29โ”‚                                                       2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       W  Meanโ”‚19.87โ”‚                                                       2โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                 Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ•ฎ
+โ”‚              โ”‚   19a. About how old were you when you first starting   โ”‚    โ”‚
+โ”‚              โ”‚  drinking alcohol, not counting small tastes or sips of โ”‚    โ”‚
+โ”‚              โ”‚                         alcohol.                        โ”‚qn35โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚Region NE Meanโ”‚                                                    19.33โ”‚   2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚       MW Meanโ”‚                                                    19.83โ”‚   2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚       S  Meanโ”‚                                                    20.29โ”‚   2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”ค
+โ”‚       W  Meanโ”‚                                                    19.87โ”‚   2โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ•ฏ
+
+      Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚Region NE Meanโ”‚19.33 2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       MW Meanโ”‚19.83 2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       S  Meanโ”‚20.29 2โ”‚
+โ”‚      โ•ถโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚       W  Meanโ”‚19.87 2โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES with SPLIT FILE])
+AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
+AT_DATA([ctables.sps],
+[[GET 'nhtsa.sav'.
+
+SORT CASES BY qns3a.
+
+CTABLES /TABLE qn105ba.
+
+* Layered split has no effect on output.
+SPLIT FILE BY qns3a.
+CTABLES /TABLE qn105ba.
+
+* Add column variable qns3a to compare against separate splits.
+CTABLES /TABLE qn105ba BY qns3a.
+
+* Separate splits are truly output separately.
+SPLIT FILE SEPARATE BY qns3a.
+CTABLES /TABLE qn105ba.
+]])
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too much   Almost      โ”‚  700โ”‚
+โ”‚to drink to drive safely will A. Get stopped by the police? certain     โ”‚     โ”‚
+โ”‚                                                            Very likely โ”‚ 1502โ”‚
+โ”‚                                                            Somewhat    โ”‚ 2763โ”‚
+โ”‚                                                            likely      โ”‚     โ”‚
+โ”‚                                                            Somewhat    โ”‚ 1307โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ”‚                                                            Very        โ”‚  609โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too much   Almost      โ”‚  700โ”‚
+โ”‚to drink to drive safely will A. Get stopped by the police? certain     โ”‚     โ”‚
+โ”‚                                                            Very likely โ”‚ 1502โ”‚
+โ”‚                                                            Somewhat    โ”‚ 2763โ”‚
+โ”‚                                                            likely      โ”‚     โ”‚
+โ”‚                                                            Somewhat    โ”‚ 1307โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ”‚                                                            Very        โ”‚  609โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                 โ”‚S3a. GENDER:โ”‚
+โ”‚                                                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                 โ”‚ Maleโ”‚Femaleโ”‚
+โ”‚                                                                 โ”œโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚                                                                 โ”‚Countโ”‚ Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too Almost      โ”‚  297โ”‚   403โ”‚
+โ”‚much to drink to drive safely will A. Get stopped by certain     โ”‚     โ”‚      โ”‚
+โ”‚the police?                                          Very likely โ”‚  660โ”‚   842โ”‚
+โ”‚                                                     Somewhat    โ”‚ 1174โ”‚  1589โ”‚
+โ”‚                                                     likely      โ”‚     โ”‚      โ”‚
+โ”‚                                                     Somewhat    โ”‚  640โ”‚   667โ”‚
+โ”‚                                                     unlikely    โ”‚     โ”‚      โ”‚
+โ”‚                                                     Very        โ”‚  311โ”‚   298โ”‚
+โ”‚                                                     unlikely    โ”‚     โ”‚      โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+    Split Values
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚Variable    โ”‚Valueโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a. GENDER:โ”‚Male โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too much   Almost      โ”‚  297โ”‚
+โ”‚to drink to drive safely will A. Get stopped by the police? certain     โ”‚     โ”‚
+โ”‚                                                            Very likely โ”‚  660โ”‚
+โ”‚                                                            Somewhat    โ”‚ 1174โ”‚
+โ”‚                                                            likely      โ”‚     โ”‚
+โ”‚                                                            Somewhat    โ”‚  640โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ”‚                                                            Very        โ”‚  311โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+     Split Values
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚Variable    โ”‚ Valueโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚S3a. GENDER:โ”‚Femaleโ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                  Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚                                                                        โ”‚Countโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚105b. How likely is it that drivers who have had too much   Almost      โ”‚  403โ”‚
+โ”‚to drink to drive safely will A. Get stopped by the police? certain     โ”‚     โ”‚
+โ”‚                                                            Very likely โ”‚  842โ”‚
+โ”‚                                                            Somewhat    โ”‚ 1589โ”‚
+โ”‚                                                            likely      โ”‚     โ”‚
+โ”‚                                                            Somewhat    โ”‚  667โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ”‚                                                            Very        โ”‚  298โ”‚
+โ”‚                                                            unlikely    โ”‚     โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP
+
+AT_SETUP([CTABLES variable level inference])
+AT_DATA([data.txt], [dnl
+dnl n1 has 10 unique small values -> nominal.
+dnl n2 has 23 unique small values -> nominal.
+dnl n3 is all missing -> nominal.
+dnl s1 has 24 unique small values -> scale.
+dnl s2 has one negative value -> scale.
+dnl s3 has one non-integer value -> scale.
+dnl s4 has no valid values less than 10 -> scale.
+dnl s5 has no valid values less than 10,000 -> scale.
+1  1  . 1  1  1    10 10001
+2  2  . 2  2  2    11 10002
+3  3  . 3  3  3    12 10003
+4  4  . 4  4  4    13 10004
+5  5  . 5  5  5    14 10005
+6  6  . 6  6  6    15 10006
+7  7  . 7  7  7    16 10007
+8  8  . 8  8  8    17 10008
+9  9  . 9  9  9    18 10009
+10 10 . 10 10 10.5 19 110000
+1  11 . 11 -1 1    11 10001
+2  12 . 12 2  2    12 10002
+3  13 . 13 3  3    13 10003
+4  14 . 14 4  4    14 10004
+5  15 . 15 5  5    15 10005
+6  16 . 16 6  6    16 10006
+7  17 . 17 7  7    17 10007
+8  18 . 18 8  8    18 10008
+9  19 . 19 9  9    19 10009
+1  20 . 20 1  1    20 10001
+2  21 . 21 2  2    21 10002
+3  22 . 22 3  3    22 10003
+4  23 . 23 4  4    23 10004
+5  23 . 24 5  5    24 10005
+6  23 . 24 6  6    25 10006
+])
+
+AT_DATA([ctables.sps], [dnl
+DATA LIST LIST file='data.txt' NOTABLE /n1 to n3 s1 to s5.
+
+* Nominal formats (copied from data that will default to scale).
+COMPUTE n4=s1.
+COMPUTE n5=s1.
+FORMATS n4(WKDAY5) n5(MONTH5).
+
+* Scale formats (copied from data that will default to nominal).
+COMPUTE s6=n1.
+COMPUTE s7=n1.
+COMPUTE s8=n1.
+FORMATS s6(DOLLAR6.2) s7(CCA8.2) s8(DATETIME17).
+
+STRING string(A8).
+
+DISPLAY DICTIONARY.
+CTABLES /TABLE n1 + n2 + n3 + string + s1 + s2 + s3 + s4 + s5.
+DISPLAY DICTIONARY.
+])
+
+AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
+                                    Variables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚      โ”‚        โ”‚  Measurement โ”‚     โ”‚     โ”‚         โ”‚            โ”‚            โ”‚
+โ”‚Name  โ”‚Positionโ”‚     Level    โ”‚ Roleโ”‚Widthโ”‚Alignmentโ”‚Print Formatโ”‚Write Formatโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚n1    โ”‚       1โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚n2    โ”‚       2โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚n3    โ”‚       3โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s1    โ”‚       4โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s2    โ”‚       5โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s3    โ”‚       6โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s4    โ”‚       7โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s5    โ”‚       8โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚n4    โ”‚       9โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚WKDAY5      โ”‚WKDAY5      โ”‚
+โ”‚n5    โ”‚      10โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚MONTH5      โ”‚MONTH5      โ”‚
+โ”‚s6    โ”‚      11โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚DOLLAR6.2   โ”‚DOLLAR6.2   โ”‚
+โ”‚s7    โ”‚      12โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚CCA8.2      โ”‚CCA8.2      โ”‚
+โ”‚s8    โ”‚      13โ”‚Unknown       โ”‚Inputโ”‚    8โ”‚Right    โ”‚DATETIME17.0โ”‚DATETIME17.0โ”‚
+โ”‚stringโ”‚      14โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Left     โ”‚A8          โ”‚A8          โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+        Custom Tables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚            โ”‚Countโ”‚  Mean  โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚n1     1.00 โ”‚    3โ”‚        โ”‚
+โ”‚       2.00 โ”‚    3โ”‚        โ”‚
+โ”‚       3.00 โ”‚    3โ”‚        โ”‚
+โ”‚       4.00 โ”‚    3โ”‚        โ”‚
+โ”‚       5.00 โ”‚    3โ”‚        โ”‚
+โ”‚       6.00 โ”‚    3โ”‚        โ”‚
+โ”‚       7.00 โ”‚    2โ”‚        โ”‚
+โ”‚       8.00 โ”‚    2โ”‚        โ”‚
+โ”‚       9.00 โ”‚    2โ”‚        โ”‚
+โ”‚       10.00โ”‚    1โ”‚        โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚n2     1.00 โ”‚    1โ”‚        โ”‚
+โ”‚       2.00 โ”‚    1โ”‚        โ”‚
+โ”‚       3.00 โ”‚    1โ”‚        โ”‚
+โ”‚       4.00 โ”‚    1โ”‚        โ”‚
+โ”‚       5.00 โ”‚    1โ”‚        โ”‚
+โ”‚       6.00 โ”‚    1โ”‚        โ”‚
+โ”‚       7.00 โ”‚    1โ”‚        โ”‚
+โ”‚       8.00 โ”‚    1โ”‚        โ”‚
+โ”‚       9.00 โ”‚    1โ”‚        โ”‚
+โ”‚       10.00โ”‚    1โ”‚        โ”‚
+โ”‚       11.00โ”‚    1โ”‚        โ”‚
+โ”‚       12.00โ”‚    1โ”‚        โ”‚
+โ”‚       13.00โ”‚    1โ”‚        โ”‚
+โ”‚       14.00โ”‚    1โ”‚        โ”‚
+โ”‚       15.00โ”‚    1โ”‚        โ”‚
+โ”‚       16.00โ”‚    1โ”‚        โ”‚
+โ”‚       17.00โ”‚    1โ”‚        โ”‚
+โ”‚       18.00โ”‚    1โ”‚        โ”‚
+โ”‚       19.00โ”‚    1โ”‚        โ”‚
+โ”‚       20.00โ”‚    1โ”‚        โ”‚
+โ”‚       21.00โ”‚    1โ”‚        โ”‚
+โ”‚       22.00โ”‚    1โ”‚        โ”‚
+โ”‚       23.00โ”‚    3โ”‚        โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚string      โ”‚   25โ”‚        โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚s1          โ”‚     โ”‚   12.96โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚s2          โ”‚     โ”‚    4.76โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚s3          โ”‚     โ”‚    4.86โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚s4          โ”‚     โ”‚   16.60โ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚s5          โ”‚     โ”‚14004.44โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+
+                                    Variables
+โ•ญโ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฎ
+โ”‚      โ”‚        โ”‚  Measurement โ”‚     โ”‚     โ”‚         โ”‚            โ”‚            โ”‚
+โ”‚Name  โ”‚Positionโ”‚     Level    โ”‚ Roleโ”‚Widthโ”‚Alignmentโ”‚Print Formatโ”‚Write Formatโ”‚
+โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
+โ”‚n1    โ”‚       1โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚n2    โ”‚       2โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚n3    โ”‚       3โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s1    โ”‚       4โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s2    โ”‚       5โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s3    โ”‚       6โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s4    โ”‚       7โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚s5    โ”‚       8โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚F8.2        โ”‚F8.2        โ”‚
+โ”‚n4    โ”‚       9โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Right    โ”‚WKDAY5      โ”‚WKDAY5      โ”‚
+โ”‚n5    โ”‚      10โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Right    โ”‚MONTH5      โ”‚MONTH5      โ”‚
+โ”‚s6    โ”‚      11โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚DOLLAR6.2   โ”‚DOLLAR6.2   โ”‚
+โ”‚s7    โ”‚      12โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚CCA8.2      โ”‚CCA8.2      โ”‚
+โ”‚s8    โ”‚      13โ”‚Scale         โ”‚Inputโ”‚    8โ”‚Right    โ”‚DATETIME17.0โ”‚DATETIME17.0โ”‚
+โ”‚stringโ”‚      14โ”‚Nominal       โ”‚Inputโ”‚    8โ”‚Left     โ”‚A8          โ”‚A8          โ”‚
+โ•ฐโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ
+])
+AT_CLEANUP