3 dnl Features not yet tested:
4 dnl - Preprocessing to distinguish categorical from scale.
5 dnl - Testing details of missing value handling in summaries.
6 dnl - Test WEIGHT and adjustment weights.
7 dnl - Summary functions:
8 dnl * Separate summary functions for totals and subtotals.
9 dnl * )CILEVEL in summary label specification
12 dnl * THRU (numeric ranges)
14 dnl - Date/time variables and values
16 dnl * PCOMPUTE for more than one kind of summary (e.g. [COUNT, ROWPCT]).
17 dnl * MISSING, OTHERNM
18 dnl * multi-dimensional (multiple CCT_POSTCOMPUTE in one cell)
22 dnl - Summary functions:
23 dnl * U-prefix for unweighted summaries.
24 dnl * areaPCT.SUM and UareaPCT.SUM functions.
25 dnl - SPLIT FILE with SEPARATE splits
26 dnl - Definition of columns/rows when labels are rotated from one axis to another.
29 dnl - Multiple response sets
30 dnl - MRSETS subcommand.
31 dnl - CATEGORIES: Special case for explicit category specifications and multiple dichotomy sets.
34 dnl - Summary functions:
35 dnl * .LCL and .UCL suffixes.
38 dnl * Data-dependent sorting.
40 AT_SETUP([CTABLES parsing])
41 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
42 AT_DATA([ctables.sps],
45 /FORMAT MINCOLWIDTH=10 MAXCOLWIDTH=20 UNITS=POINTS EMPTY=ZERO MISSING="x"
46 /FORMAT MINCOLWIDTH=DEFAULT MAXCOLWIDTH=DEFAULT UNITS=INCHES EMPTY=BLANK MISSING="."
47 /FORMAT UNITS=CM EMPTY="(-)"
48 /VLABELS VARIABLES=qn1 DISPLAY=DEFAULT
49 /VLABELS VARIABLES=qn17 DISPLAY=NAME
50 /VLABELS VARIABLES=qns3a DISPLAY=LABEL
51 /VLABELS VARIABLES=qnd1 DISPLAY=BOTH
52 /VLABELS VARIABLES=qn20 DISPLAY=NONE
53 /MRSETS COUNTDUPLICATES=NO
54 /MRSETS COUNTDUPLICATES=YES
57 /WEIGHT VARIABLE=qns3a
59 /HIDESMALLCOUNTS COUNT=10
61 /SLABELS POSITION=COLUMN VISIBLE=YES
62 /SLABELS VISIBLE=NO POSITION=ROW
63 /SLABELS POSITION=LAYER
65 /CLABELS ROWLABELS=OPPOSITE
67 /CATEGORIES VARIABLES=qn1 qn17
68 ORDER=A KEY=VALUE MISSING=INCLUDE TOTAL=YES LABEL="xyzzy"
69 POSITION=BEFORE EMPTY=INCLUDE.
70 CTABLES /TABLE qnsa1 /CLABELS ROWLABELS=LAYER.
71 CTABLES /TABLE qnsa1 /CLABELS COLLABELS=OPPOSITE.
72 CTABLES /TABLE qnsa1 /CLABELS COLLABELS=LAYER.
74 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
77 ╭───────────────────┬────┬────╮
79 ├───────────────────┼────┼────┤
80 │Sa1. SAMPLE SOURCE:│5392│1607│
81 ╰───────────────────┴────┴────╯
85 ╭───────────────────┬─────╮
87 ├───────────────────┼─────┤
88 │Sa1. SAMPLE SOURCE:│ 5392│
89 ╰───────────────────┴─────╯
92 ╭────────────────────────┬─────╮
94 ├────────────────────────┼─────┤
95 │Sa1. SAMPLE SOURCE: RDD │ 5392│
97 ╰────────────────────────┴─────╯
100 ╭────────────────────────┬─────╮
102 ├────────────────────────┼─────┤
103 │Sa1. SAMPLE SOURCE: RDD │ 5392│
105 ╰────────────────────────┴─────╯
109 AT_SETUP([CTABLES parsing - negative])
110 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
111 AT_DATA([ctables.sps],
114 CTABLES /FORMAT MINCOLWIDTH='foo'.
115 CTABLES /TABLE qn1 [**].
116 CTABLES /TABLE qn1 [NOTAFUNCTION].
119 CTABLES /TABLE NOTAVAR.
121 CTABLES /TABLE string[S].
122 CTABLES /TABLE qn1 [PTILE 101].
123 CTABLES /TABLE qn1 [MEAN F0.1].
124 CTABLES /TABLE qn1 [MEAN NEGPAREN1.2].
125 CTABLES /TABLE qn1 [MEAN NEGPAREN3.4].
126 CTABLES /TABLE qn1 [MEAN TOTALS].
127 CTABLES /TABLE qn1 [MEAN TOTALS[STDDEV]%].
128 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [SUBTOTAL=x].
129 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [LO **].
130 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [LO THRU x].
131 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [1 THRU **].
132 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 ['x' THRU **].
133 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&**].
134 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&x].
135 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=PTILE(qn1, 101).
136 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=MEAN(qn1.
137 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 KEY=MEAN.
138 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 MISSING=**.
139 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 TOTAL=**.
140 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 LABEL=**.
141 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 POSITION=**.
142 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 EMPTY=**.
143 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 **.
144 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [1,2,3] **.
145 CTABLES /PCOMPUTE &k=EXPR(SUBTOTAL[0]).
146 CTABLES /PCOMPUTE &k=EXPR(SUBTOTAL[1**]).
147 CTABLES /PCOMPUTE &k=EXPR([LO **]).
148 CTABLES /PCOMPUTE &k=EXPR([LO THRU **]).
149 CTABLES /PCOMPUTE &k=EXPR([1 THRU **]).
150 CTABLES /PCOMPUTE &k=EXPR([1**]).
151 CTABLES /PCOMPUTE &k=EXPR((1x)).
152 CTABLES /PCOMPUTE **k.
153 CTABLES /PCOMPUTE &1.
154 CTABLES /PCOMPUTE &k**.
155 CTABLES /PCOMPUTE &k=**.
156 CTABLES /PCOMPUTE &k=EXPR**.
157 CTABLES /PCOMPUTE &k=EXPR(1x).
158 CTABLES /PCOMPUTE &k=EXPR(1) /PCOMPUTE &k=EXPR(2).
159 CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k FORMAT=NOTAFUNCTION.
160 CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k FORMAT=PTILE **.
161 CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k LABEL=**.
162 CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k HIDESOURCECATS=**.
163 CTABLES /PCOMPUTE &k=EXPR(1) /PPROPERTIES &k **.
164 CTABLES /FORMAT EMPTY=**.
165 CTABLES /FORMAT MISSING=**.
167 CTABLES /FORMAT MINCOLWIDTH=20 MAXCOLWIDTH=10/.
169 CTABLES /VLABELS VARIABLES=NOTAVAR.
170 CTABLES /VLABELS VARIABLES=qn1 **.
171 CTABLES /VLABELS VARIABLES=qn1 DISPLAY=**.
173 CTABLES /MRSETS COUNTDUPLICATES=**.
174 CTABLES /SMISSING **.
176 CTABLES /WEIGHT VARIABLE=NOTAVAR.
177 CTABLES /HIDESMALLCOUNTS COUNT=1.
179 CTABLES /HIDESMALLCOUNTS COUNT=2.
180 CTABLES /TABLE qn1**.
181 CTABLES /TABLE qn1 /SLABELS POSITION=**.
182 CTABLES /TABLE qn1 /SLABELS VISIBLE=**.
183 CTABLES /TABLE qn1 /SLABELS **.
184 CTABLES /TABLE qn1 /CLABELS ROWLABELS=**.
185 CTABLES /TABLE qn1 /CLABELS COLLABELS=**.
186 CTABLES /TABLE qn1 /CLABELS **.
187 CTABLES /TABLE qn1 /CRITERIA **.
188 CTABLES /TABLE qn1 /CRITERIA CILEVEL=101.
189 CTABLES /TABLE qn1 /TITLES **.
190 CTABLES /TABLE qn1 /SIGTEST TYPE=**.
191 CTABLES /TABLE qn1 /SIGTEST ALPHA=**.
192 CTABLES /TABLE qn1 /SIGTEST INCLUDEMRSETS=**.
193 CTABLES /TABLE qn1 /SIGTEST CATEGORIES=**.
194 CTABLES /TABLE qn1 /SIGTEST **.
195 CTABLES /TABLE qn1 /COMPARETEST TYPE=**.
196 CTABLES /TABLE qn1 /COMPARETEST ALPHA=**.
197 CTABLES /TABLE qn1 /COMPARETEST ALPHA=0,5.
198 CTABLES /TABLE qn1 /COMPARETEST ADJUST=**.
199 CTABLES /TABLE qn1 /COMPARETEST INCLUDEMRSETS=**.
200 CTABLES /TABLE qn1 /COMPARETEST MEANSVARIANCE=**.
201 CTABLES /TABLE qn1 /COMPARETEST CATEGORIES=**.
202 CTABLES /TABLE qn1 /COMPARETEST MERGE=**.
203 CTABLES /TABLE qn1 /COMPARETEST STYLE=**.
204 CTABLES /TABLE qn1 /COMPARETEST SHOWSIG=**.
205 CTABLES /TABLE qn1 /COMPARETEST **.
206 CTABLES /TABLE qn1 / **.
207 CTABLES /TABLE qn1 /CLABELS ROWLABELS=OPPOSITE /CLABELS COLLABELS=OPPOSITE.
208 CTABLES /TABLE qn20 > qnd1.
209 CTABLES /TABLE qn1 [ROWPCT] > qnsa1.
210 NUMERIC datetime (DATETIME17.0).
211 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=datetime ['123'].
213 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [1],
214 [[ctables.sps:2.8: error: CTABLES: Syntax error at end of command: expecting `/'.
216 ctables.sps:3.29-3.33: error: CTABLES: Syntax error at `'foo'': Expected non-
217 negative number for MINCOLWIDTH.
219 ctables.sps:4.21-4.22: error: CTABLES: Syntax error at `**': expecting
222 ctables.sps:5.21-5.32: error: CTABLES: Syntax error at `NOTAFUNCTION': Expecting
223 summary function name.
225 ctables.sps:6.20: error: CTABLES: Syntax error at end of command: expecting `@:}@'.
227 ctables.sps:7.16-7.17: error: CTABLES: Syntax error at `**': expecting
230 ctables.sps:8: error: CTABLES: NOTAVAR is not a variable name.
232 ctables.sps:10.16-10.24: error: CTABLES: Cannot use string variable string as a
234 10 | CTABLES /TABLE string[S].
237 ctables.sps:11.27-11.29: error: CTABLES: Syntax error at `101': Expected number
238 between 0 and 100 for PTILE.
240 ctables.sps:12: error: CTABLES: Output format F0.1 specifies width 0, but F
241 requires a width between 1 and 40.
243 ctables.sps:13.26-13.36: error: CTABLES: Syntax error at `NEGPAREN1.2': Output
244 format NEGPAREN requires width 2 or greater.
246 ctables.sps:14.26-14.36: error: CTABLES: Syntax error at `NEGPAREN3.4': Output
247 format NEGPAREN requires width greater than decimals.
249 ctables.sps:15.21-15.24: error: CTABLES: Summary function MEAN applies only to
251 15 | CTABLES /TABLE qn1 [MEAN TOTALS].
254 ctables.sps:15.16-15.18: note: CTABLES: 'QN1' is not a scale variable.
255 15 | CTABLES /TABLE qn1 [MEAN TOTALS].
258 ctables.sps:15.32: error: CTABLES: Syntax error at `@:>@': expecting `@<:@'.
260 ctables.sps:16.21-16.24: error: CTABLES: Summary function MEAN applies only to
262 16 | CTABLES /TABLE qn1 [MEAN TOTALS[STDDEV]%].
265 ctables.sps:16.16-16.18: note: CTABLES: 'QN1' is not a scale variable.
266 16 | CTABLES /TABLE qn1 [MEAN TOTALS[STDDEV]%].
269 ctables.sps:16.40: error: CTABLES: Syntax error at `%': expecting `@:>@'.
271 ctables.sps:17.56: error: CTABLES: Syntax error at `x': expecting string.
273 ctables.sps:18.50-18.51: error: CTABLES: Syntax error at `**': expecting THRU.
275 ctables.sps:19.55: error: CTABLES: Syntax error at `x': expecting number.
277 ctables.sps:20.54-20.55: error: CTABLES: Syntax error at `**': expecting number.
279 ctables.sps:21.56-21.57: error: CTABLES: Syntax error at `**': expecting string.
281 ctables.sps:22.48-22.49: error: CTABLES: Syntax error at `**': expecting
284 ctables.sps:23.47-23.48: error: CTABLES: Unknown postcompute &x.
285 23 | CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&x].
288 ctables.sps:24.61-24.63: error: CTABLES: Syntax error at `101': Expected number
289 between 0 and 100 for PTILE.
291 ctables.sps:25.58: error: CTABLES: Syntax error at end of command: expecting
294 ctables.sps:26.54: error: CTABLES: Syntax error at end of command: expecting
297 ctables.sps:27.54-27.55: error: CTABLES: Syntax error at `**': expecting INCLUDE
300 ctables.sps:28.52-28.53: error: CTABLES: Syntax error at `**': expecting YES or
303 ctables.sps:29.52-29.53: error: CTABLES: Syntax error at `**': expecting string.
305 ctables.sps:30.55-30.56: error: CTABLES: Syntax error at `**': expecting BEFORE
308 ctables.sps:31.52-31.53: error: CTABLES: Syntax error at `**': expecting INCLUDE
311 ctables.sps:32.46-32.47: error: CTABLES: Syntax error at `**': expecting ORDER,
312 KEY, MISSING, TOTAL, LABEL, POSITION, or EMPTY.
314 ctables.sps:33.54-33.55: error: CTABLES: Syntax error at `**': expecting TOTAL,
315 LABEL, POSITION, or EMPTY.
317 ctables.sps:34.36: error: CTABLES: Syntax error at `0': Expected positive
318 integer for SUBTOTAL.
320 ctables.sps:35.37-35.38: error: CTABLES: Syntax error at `**': expecting `@:>@'.
322 ctables.sps:36.31-36.32: error: CTABLES: Syntax error at `**': expecting THRU.
324 ctables.sps:37.36-37.37: error: CTABLES: Syntax error at `**': expecting number.
326 ctables.sps:38.35-38.36: error: CTABLES: Syntax error at `**': expecting number.
328 ctables.sps:39.29-39.30: error: CTABLES: Syntax error at `**': expecting `@:>@'.
330 ctables.sps:40.29: error: CTABLES: Syntax error at `x': expecting `@:}@'.
332 ctables.sps:41.19-41.20: error: CTABLES: Syntax error at `**': expecting &.
334 ctables.sps:42.20: error: CTABLES: Syntax error at `1': expecting identifier.
336 ctables.sps:43.21-43.22: error: CTABLES: Syntax error at `**': expecting `='.
338 ctables.sps:44.22-44.23: error: CTABLES: Syntax error at `**': expecting EXPR.
340 ctables.sps:45.26-45.27: error: CTABLES: Syntax error at `**': expecting `('.
342 ctables.sps:46.28: error: CTABLES: Syntax error at `x': expecting `)'.
344 ctables.sps:47.31-47.49: warning: CTABLES: New definition of &k will override
345 the previous definition.
346 47 | CTABLES /PCOMPUTE &k=EXPR(1) /PCOMPUTE &k=EXPR(2).
347 | ^~~~~~~~~~~~~~~~~~~
349 ctables.sps:47.10-47.28: note: CTABLES: This is the previous definition.
350 47 | CTABLES /PCOMPUTE &k=EXPR(1) /PCOMPUTE &k=EXPR(2).
351 | ^~~~~~~~~~~~~~~~~~~
353 ctables.sps:47.50: error: CTABLES: Syntax error at end of command: expecting
356 ctables.sps:48.53-48.64: error: CTABLES: Syntax error at `NOTAFUNCTION':
357 Expecting summary function name.
359 ctables.sps:49.59-49.60: error: CTABLES: Syntax error at `**': Expected number
360 between 0 and 100 for PTILE.
362 ctables.sps:50.52-50.53: error: CTABLES: Syntax error at `**': expecting string.
364 ctables.sps:51.61-51.62: error: CTABLES: Syntax error at `**': expecting YES or
367 ctables.sps:52.46-52.47: error: CTABLES: Syntax error at `**': expecting LABEL,
368 FORMAT, or HIDESOURCECATS.
370 ctables.sps:53.23-53.24: error: CTABLES: Syntax error at `**': expecting string.
372 ctables.sps:54.25-54.26: error: CTABLES: Syntax error at `**': expecting string.
374 ctables.sps:55.17-55.18: error: CTABLES: Syntax error at `**': expecting
375 MINCOLWIDTH, MAXCOLWIDTH, UNITS, EMPTY, or MISSING.
377 ctables.sps:56: error: CTABLES: MINCOLWIDTH must not be greater than
380 ctables.sps:57.18-57.19: error: CTABLES: Syntax error at `**': expecting
383 ctables.sps:58: error: CTABLES: NOTAVAR is not a variable name.
385 ctables.sps:59.32-59.33: error: CTABLES: Syntax error at `**': expecting
388 ctables.sps:60.40-60.41: error: CTABLES: Syntax error at `**': expecting
389 DEFAULT, NAME, LABEL, BOTH, or NONE.
391 ctables.sps:61.17-61.18: error: CTABLES: Syntax error at `**': expecting
394 ctables.sps:62.33-62.34: error: CTABLES: Syntax error at `**': expecting YES or
397 ctables.sps:63.19-63.20: error: CTABLES: Syntax error at `**': expecting
398 VARIABLE or LISTWISE.
400 ctables.sps:64.17-64.18: error: CTABLES: Syntax error at `**': expecting
403 ctables.sps:65: error: CTABLES: NOTAVAR is not a variable name.
405 ctables.sps:66.32: error: CTABLES: Syntax error at `1': Expected integer 2 or
406 greater for HIDESMALLCOUNTS COUNT.
408 ctables.sps:67.10-67.13: error: CTABLES: Syntax error at `QUUX': expecting
409 FORMAT, VLABELS, MRSETS, SMISSING, PCOMPUTE, PPROPERTIES, WEIGHT,
410 HIDESMALLCOUNTS, or TABLE.
412 ctables.sps:68.33: error: CTABLES: Syntax error at end of command: expecting
415 ctables.sps:69.19-69.20: error: CTABLES: Syntax error at `**': expecting `/'.
417 ctables.sps:70.38-70.39: error: CTABLES: Syntax error at `**': expecting COLUMN,
420 ctables.sps:71.37-71.38: error: CTABLES: Syntax error at `**': expecting YES or
423 ctables.sps:72.29-72.30: error: CTABLES: Syntax error at `**': expecting
426 ctables.sps:73.39-73.40: error: CTABLES: Syntax error at `**': expecting
429 ctables.sps:74.39-74.40: error: CTABLES: Syntax error at `**': expecting
432 ctables.sps:75.29-75.30: error: CTABLES: Syntax error at `**': expecting AUTO,
433 ROWLABELS, or COLLABELS.
435 ctables.sps:76.30-76.31: error: CTABLES: Syntax error at `**': expecting
438 ctables.sps:77.38-77.40: error: CTABLES: Syntax error at `101': Expected number
439 in @<:@0,100@:}@ for CILEVEL.
441 ctables.sps:78.28-78.29: error: CTABLES: Syntax error at `**': expecting
442 CAPTION, CORNER, or TITLE.
444 ctables.sps:79.34-79.35: error: CTABLES: Syntax error at `**': expecting
447 ctables.sps:80.35-80.36: error: CTABLES: Syntax error at `**': Expected number
448 in @<:@0,1@:}@ for ALPHA.
450 ctables.sps:81.43-81.44: error: CTABLES: Syntax error at `**': expecting YES or
453 ctables.sps:82.40-82.41: error: CTABLES: Syntax error at `**': expecting
454 ALLVISIBLE or SUBTOTALS.
456 ctables.sps:83.29-83.30: error: CTABLES: Syntax error at `**': expecting TYPE,
457 ALPHA, INCLUDEMRSETS, or CATEGORIES.
459 ctables.sps:84.38-84.39: error: CTABLES: Syntax error at `**': expecting PROP or
462 ctables.sps:85.39-85.40: error: CTABLES: Syntax error at `**': Expected number
465 ctables.sps:86.39: error: CTABLES: Syntax error at `0': Expected number in (0,1)
468 ctables.sps:87.40-87.41: error: CTABLES: Syntax error at `**': expecting
469 BONFERRONI, BH, or NONE.
471 ctables.sps:88.47-88.48: error: CTABLES: Syntax error at `**': expecting YES or
474 ctables.sps:89.47-89.48: error: CTABLES: Syntax error at `**': expecting ALLCATS
477 ctables.sps:90.44-90.45: error: CTABLES: Syntax error at `**': expecting
478 ALLVISIBLE or SUBTOTALS.
480 ctables.sps:91.39-91.40: error: CTABLES: Syntax error at `**': expecting YES or
483 ctables.sps:92.39-92.40: error: CTABLES: Syntax error at `**': expecting APA or
486 ctables.sps:93.41-93.42: error: CTABLES: Syntax error at `**': expecting YES or
489 ctables.sps:94.33-94.34: error: CTABLES: Syntax error at `**': expecting TYPE,
490 ALPHA, ADJUST, INCLUDEMRSETS, MEANSVARIANCE, CATEGORIES, MERGE, STYLE, or
493 ctables.sps:95.22-95.23: error: CTABLES: Syntax error at `**': expecting TABLE,
494 SLABELS, CLABELS, CRITERIA, CATEGORIES, TITLES, SIGTEST, or COMPARETEST.
496 ctables.sps:96: error: CTABLES: ROWLABELS and COLLABELS may not both be
499 ctables.sps:97.16-97.26: error: CTABLES: Cannot nest scale variables.
500 97 | CTABLES /TABLE qn20 > qnd1.
503 ctables.sps:97.16-97.19: note: CTABLES: This is an outer scale variable.
504 97 | CTABLES /TABLE qn20 > qnd1.
507 ctables.sps:97.23-97.26: note: CTABLES: This is an inner scale variable.
508 97 | CTABLES /TABLE qn20 > qnd1.
511 ctables.sps:98.16-98.35: error: CTABLES: Summaries may only be requested for
512 categorical variables at the innermost nesting level.
513 98 | CTABLES /TABLE qn1 [ROWPCT] > qnsa1.
514 | ^~~~~~~~~~~~~~~~~~~~
516 ctables.sps:98.16-98.18: note: CTABLES: This outer categorical variable has a
518 98 | CTABLES /TABLE qn1 [ROWPCT] > qnsa1.
521 ctables.sps:100.52-100.56: error: CTABLES: Failed to parse category
522 specification as format DATETIME: Day (123) must be between 1 and 31..
523 100 | CTABLES /TABLE qn1 /CATEGORIES VARIABLES=datetime ['123'].
528 AT_SETUP([CTABLES parsing - more negative])
529 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
530 AT_DATA([ctables.sps],
532 CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&pc].
533 CTABLES /PCOMPUTE &pc=EXPR(TOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&pc].
534 CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1 [&pc, SUBTOTAL, SUBTOTAL].
537 CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 ['string'].
538 CTABLES /TABLE string /CATEGORIES VARIABLES=string [1].
540 CTABLES /TABLE qn1 /CLABELS ROWLABELS=OPPOSITE /CATEGORIES VARIABLES=qn1 KEY=MEAN(qn1).
542 CTABLES /TABLE qnd1 /CLABELS ROWLABELS=OPPOSITE.
543 CTABLES /TABLE qn1 + string /CLABELS ROWLABELS=OPPOSITE.
544 CTABLES /TABLE qn1 + qnsa1 /CLABELS ROWLABELS=OPPOSITE.
545 CTABLES /TABLE qn105ba + qn105bb /CLABELS ROWLABELS=OPPOSITE /CATEGORIES VARIABLES=qn105ba [1,2,3].
547 CTABLES /PCOMPUTE &x=EXPR(1**2**3).
548 CTABLES /PCOMPUTE &x=EXPR([**]).
549 CTABLES /PCOMPUTE &x=EXPR(**).
553 CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
555 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [1],
556 [[ctables.sps:2.76-2.78: error: CTABLES: Computed category &pc references a
557 category not included in the category list.
558 2 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
563 ctables.sps:2.28-2.35: note: CTABLES: This is the missing category.
564 2 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
568 ctables.sps:2.76-2.79: note: CTABLES: To fix the problem, add subtotals to the
569 list of categories here.
570 2 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
575 ctables.sps:3.73-3.75: error: CTABLES: Computed category &pc references a
576 category not included in the category list.
577 3 | CTABLES /PCOMPUTE &pc=EXPR(TOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1
582 ctables.sps:3.28-3.32: note: CTABLES: This is the missing category.
583 3 | CTABLES /PCOMPUTE &pc=EXPR(TOTAL) /TABLE qn1 /CATEGORIES VARIABLES=qn1
587 ctables.sps:3: note: CTABLES: To fix the problem, add TOTAL=YES to the
588 variable's CATEGORIES specification.
590 ctables.sps:4.76-4.99: error: CTABLES: These categories include 2 instances of
591 SUBTOTAL or HSUBTOTAL, so references from computed categories must refer to
592 subtotals by position, e.g. SUBTOTAL[1].
593 4 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
594 VARIABLES=qn1 [&pc, SUBTOTAL, SUBTOTAL].
596 ^~~~~~~~~~~~~~~~~~~~~~~~
598 ctables.sps:4.28-4.35: note: CTABLES: This is the reference that lacks a
600 4 | CTABLES /PCOMPUTE &pc=EXPR(SUBTOTAL) /TABLE qn1 /CATEGORIES
601 VARIABLES=qn1 [&pc, SUBTOTAL, SUBTOTAL].
604 ctables.sps:7.47-7.54: error: CTABLES: This category specification may be
605 applied only to string variables, but this subcommand tries to apply it to
606 numeric variable QN1.
607 7 | CTABLES /TABLE qn1 /CATEGORIES VARIABLES=qn1 ['string'].
610 ctables.sps:8.53: error: CTABLES: This category specification may be applied
611 only to numeric variables, but this subcommand tries to apply it to string
613 8 | CTABLES /TABLE string /CATEGORIES VARIABLES=string [1].
616 ctables.sps:10: error: CTABLES: ROWLABELS=OPPOSITE is not allowed with sorting
617 based on a summary function.
619 ctables.sps:12: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
620 moved to be categorical, but qnd1 is a scale variable.
622 ctables.sps:13: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
623 moved to have the same width, but QN1 has width 0 and string has width 8.
625 ctables.sps:14: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
626 moved to have the same value labels, but QN1 and QNSA1 have different value
629 ctables.sps:15: error: CTABLES: ROWLABELS=OPPOSITE requires the variables to be
630 moved to have the same category specifications, but QN105BA and QN105BB have
631 different category specifications.
633 ctables.sps:17.27-17.33: warning: CTABLES: The exponentiation operator (`**') is
634 left-associative: `a**b**c' equals `(a**b)**c', not `a**(b**c)'. To disable
635 this warning, insert parentheses.
636 17 | CTABLES /PCOMPUTE &x=EXPR(1**2**3).
639 ctables.sps:17.35: error: CTABLES: Syntax error at end of command: expecting
642 ctables.sps:18.28-18.29: error: CTABLES: Syntax error at `**'.
644 ctables.sps:19.27-19.28: error: CTABLES: Syntax error at `**'.
646 ctables.sps:21.15: error: CTABLES: Syntax error at end of command: At least one
647 variable must be specified.
649 ctables.sps:23: error: CTABLES: Summaries may appear only on one axis.
651 ctables.sps:23.50-23.54: note: CTABLES: This variable on the layers axis has a
653 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
656 ctables.sps:23.16-23.20: note: CTABLES: This variable on the rows axis has a
658 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
661 ctables.sps:23.33-23.37: note: CTABLES: This variable on the columns axis has a
663 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
666 ctables.sps:23.33-23.37: note: CTABLES: This is a scale variable, so it always
667 has a summary even if the syntax does not explicitly specify one.
668 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
673 AT_SETUP([CTABLES one categorical variable])
674 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
675 AT_DATA([ctables.sps],
678 CTABLES /TABLE BY qn1.
679 CTABLES /TABLE BY BY qn1.
681 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
683 ╭────────────────────────────────────────────────────────────────────────┬─────╮
685 ├────────────────────────────────────────────────────────────────────────┼─────┤
686 │ 1. How often do you usually drive a car or other Every day │ 4667│
687 │motor vehicle? Several days a week │ 1274│
688 │ Once a week or less │ 361│
689 │ Only certain times a │ 130│
692 ╰────────────────────────────────────────────────────────────────────────┴─────╯
695 ╭──────────────────────────────────────────────────────────────────────────────╮
696 │ 1. How often do you usually drive a car or other motor vehicle? │
697 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
698 │ │ Several days a │ Once a week or │ Only certain times a │ │
699 │Every day│ week │ less │ year │Never│
700 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
701 │ Count │ Count │ Count │ Count │Count│
702 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
703 │ 4667│ 1274│ 361│ 130│ 540│
704 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
716 AT_SETUP([CTABLES one string variable])
717 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
718 AT_DATA([ctables.sps],
721 MISSING VALUES licensed('DontKnow', 'Refused').
722 RECODE qnd7a(1='Yes')(2='No')(3='DontKnow')(4='Refused') INTO licensed.
723 CTABLES /TABLE licensed.
724 CTABLES /TABLE licensed [COUNT, TOTALS[COUNT, VALIDN]] /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
725 CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['Yes', 'No'] TOTAL=YES.
726 * Notice that the string matching is case-sensitive.
727 CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['Yes', 'no'] TOTAL=YES.
728 CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['No' THRU 'yes'] TOTAL=YES.
730 /PCOMPUTE ¬yes=EXPR(['No']+['DontKnow']+['Refused'])
731 /PPROPERTIES ¬yes LABEL='Not Yes' HIDESOURCECATS=YES
733 /CATEGORIES VARIABLES=licensed ['Yes', ¬yes, 'No', 'DontKnow', 'Refused'].
735 /PCOMPUTE ¬yes=EXPR(['DontKnow' THRU 'No'] + ['Refused'])
736 /PPROPERTIES ¬yes LABEL='Not Yes' HIDESOURCECATS=YES
738 /CATEGORIES VARIABLES=licensed ['Yes', ¬yes, 'DontKnow' THRU 'No', 'Refused'].
740 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
750 ╭─────────────────┬─────┬───────╮
752 ├─────────────────┼─────┼───────┤
753 │licensed DontKnow│ 4│ │
757 │ Total │ 6999│ 6951│
758 ╰─────────────────┴─────┴───────╯
761 ╭──────────────┬─────╮
763 ├──────────────┼─────┤
764 │licensed Yes │ 6379│
767 ╰──────────────┴─────╯
770 ╭──────────────┬─────╮
772 ├──────────────┼─────┤
773 │licensed Yes │ 6379│
776 ╰──────────────┴─────╯
779 ╭────────────────┬─────╮
781 ├────────────────┼─────┤
786 ╰────────────────┴─────╯
789 ╭────────────────┬─────╮
791 ├────────────────┼─────┤
792 │licensed Yes │ 6379│
794 ╰────────────────┴─────╯
797 ╭────────────────┬─────╮
799 ├────────────────┼─────┤
800 │licensed Yes │ 6379│
802 ╰────────────────┴─────╯
806 AT_SETUP([CTABLES one scale variable])
807 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
808 AT_DATA([ctables.sps],
810 CTABLES /TABLE qnd1[COUNT, VALIDN, TOTALN, MEAN, STDDEV, MINIMUM, MAXIMUM].
811 CTABLES /TABLE BY qnd1.
812 CTABLES /TABLE BY BY qnd1.
814 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
816 ╭──────────────────────┬─────┬───────┬───────┬────┬────────────┬───────┬───────╮
817 │ │ │ │ │ │ Std │ │ │
818 │ │Count│Valid N│Total N│Mean│ Deviation │Minimum│Maximum│
819 ├──────────────────────┼─────┼───────┼───────┼────┼────────────┼───────┼───────┤
820 │D1. AGE: What is your │ 6999│ 6930│ 6999│ 48│ 19│ 16│ 86│
821 │age? │ │ │ │ │ │ │ │
822 ╰──────────────────────┴─────┴───────┴───────┴────┴────────────┴───────┴───────╯
825 ╭──────────────────────────╮
826 │D1. AGE: What is your age?│
827 ├──────────────────────────┤
829 ├──────────────────────────┤
831 ╰──────────────────────────╯
834 D1. AGE: What is your age?
843 AT_SETUP([CTABLES simple stacking])
844 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
845 AT_DATA([ctables.sps],
847 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
849 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
851 ╭───────────────────────────────────────────────────────────────┬──────────────╮
858 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
859 │105b. How likely is it that drivers who have had Almost │ 10%│ 11%│
860 │too much to drink to drive safely will A. Get certain │ │ │
861 │stopped by the police? Very likely │ 21%│ 22%│
862 │ Somewhat │ 38%│ 42%│
864 │ Somewhat │ 21%│ 18%│
868 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
869 │105b. How likely is it that drivers who have had Almost │ 14%│ 18%│
870 │too much to drink to drive safely will B. Have an certain │ │ │
871 │accident? Very likely │ 36%│ 45%│
872 │ Somewhat │ 39%│ 32%│
878 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
879 │105b. How likely is it that drivers who have had Almost │ 18%│ 16%│
880 │too much to drink to drive safely will C. Be certain │ │ │
881 │convicted for drunk driving? Very likely │ 32%│ 28%│
882 │ Somewhat │ 27%│ 32%│
884 │ Somewhat │ 15%│ 15%│
888 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
889 │105b. How likely is it that drivers who have had Almost │ 16%│ 16%│
890 │too much to drink to drive safely will D. Be certain │ │ │
891 │arrested for drunk driving? Very likely │ 26%│ 27%│
892 │ Somewhat │ 32%│ 35%│
894 │ Somewhat │ 17%│ 15%│
898 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
902 AT_SETUP([CTABLES show or hide empty categories])
903 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
904 AT_DATA([ctables.sps],
906 IF (qn105ba = 2) qn105ba = 1.
907 IF (qns3a = 1) qns3a = 2.
908 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
909 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
910 /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
911 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
912 /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
913 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
914 /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
916 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
918 ╭──────────────────────────────────────────────────────────────┬───────────────╮
925 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
926 │105b. How likely is it that drivers who have had Almost │ .│ 32%│
927 │too much to drink to drive safely will A. Get certain │ │ │
928 │stopped by the police? Very likely│ .│ 0%│
935 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
938 ╭──────────────────────────────────────────────────────────────┬───────────────╮
945 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
946 │105b. How likely is it that drivers who have had Almost │ .│ 32%│
947 │too much to drink to drive safely will A. Get certain │ │ │
948 │stopped by the police? Somewhat │ .│ 40%│
954 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
957 ╭────────────────────────────────────────────────────────────────────┬─────────╮
964 ├────────────────────────────────────────────────────────────────────┼─────────┤
965 │105b. How likely is it that drivers who have had too Almost │ 32%│
966 │much to drink to drive safely will A. Get stopped by certain │ │
967 │the police? Very likely │ 0%│
974 ╰────────────────────────────────────────────────────────────────────┴─────────╯
977 ╭────────────────────────────────────────────────────────────────────┬─────────╮
984 ├────────────────────────────────────────────────────────────────────┼─────────┤
985 │105b. How likely is it that drivers who have had too Almost │ 32%│
986 │much to drink to drive safely will A. Get stopped by certain │ │
987 │the police? Somewhat │ 40%│
993 ╰────────────────────────────────────────────────────────────────────┴─────────╯
997 AT_SETUP([CTABLES sorting categories])
998 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
999 AT_DATA([ctables.sps],
1001 IF (QND5A=6) QND5A=-1.
1002 IF (QND5A=5) QND5A=-2.
1003 CTABLES /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=VALUE ORDER=A
1004 /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=VALUE ORDER=D
1005 /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=LABEL ORDER=A
1006 /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=LABEL ORDER=D.
1008 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1010 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1012 ├────────────────────────────────────────────────────────────────────────┼─────┤
1013 │D5a. What would you say is your primary ethnic -2.00 │ 52│
1014 │background? -1.00 │ 78│
1018 │ South American │ 34│
1019 │ Central American │ 0│
1020 │ Puerto Rican, OR │ 0│
1021 │ Something else │ 68│
1022 │ Multiple - cannot choose│ 7│
1024 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1027 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1029 ├────────────────────────────────────────────────────────────────────────┼─────┤
1030 │D5a. What would you say is your primary ethnic Multiple - cannot choose│ 7│
1031 │background? one │ │
1032 │ Something else │ 68│
1033 │ Puerto Rican, OR │ 0│
1034 │ Central American │ 0│
1035 │ South American │ 34│
1041 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1044 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1046 ├────────────────────────────────────────────────────────────────────────┼─────┤
1047 │D5a. What would you say is your primary ethnic Central American │ 0│
1048 │background? Cuban │ 20│
1050 │ Multiple - cannot choose│ 7│
1052 │ Puerto Rican, OR │ 0│
1053 │ Something else │ 68│
1054 │ South American │ 34│
1058 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1061 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1063 ├────────────────────────────────────────────────────────────────────────┼─────┤
1064 │D5a. What would you say is your primary ethnic Spanish │ 48│
1065 │background? South American │ 34│
1066 │ Something else │ 68│
1067 │ Puerto Rican, OR │ 0│
1068 │ Multiple - cannot choose│ 7│
1072 │ Central American │ 0│
1075 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1079 AT_SETUP([CTABLES simple nesting])
1080 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1081 AT_DATA([ctables.sps],
1083 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
1084 /CATEGORIES VARIABLES=qns3a TOTAL=YES.
1085 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
1086 /CATEGORIES VARIABLES=qns3a TOTAL=YES
1087 /CLABELS ROW=OPPOSITE.
1089 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1091 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
1094 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1095 │105b. How likely is it that drivers Almost S3a. Male │ 297│ 4%│
1096 │who have had too much to drink to certain GENDER: Female│ 403│ 6%│
1097 │drive safely will A. Get stopped by Total │ 700│ 10%│
1098 │the police? ╶──────────────────────────┼─────┼──────┤
1099 │ Very S3a. Male │ 660│ 10%│
1100 │ likely GENDER: Female│ 842│ 12%│
1101 │ Total │ 1502│ 22%│
1102 │ ╶──────────────────────────┼─────┼──────┤
1103 │ Somewhat S3a. Male │ 1174│ 17%│
1104 │ likely GENDER: Female│ 1589│ 23%│
1105 │ Total │ 2763│ 40%│
1106 │ ╶──────────────────────────┼─────┼──────┤
1107 │ Somewhat S3a. Male │ 640│ 9%│
1108 │ unlikely GENDER: Female│ 667│ 10%│
1109 │ Total │ 1307│ 19%│
1110 │ ╶──────────────────────────┼─────┼──────┤
1111 │ Very S3a. Male │ 311│ 5%│
1112 │ unlikely GENDER: Female│ 298│ 4%│
1114 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1115 │105b. How likely is it that drivers Almost S3a. Male │ 429│ 6%│
1116 │who have had too much to drink to certain GENDER: Female│ 671│ 10%│
1117 │drive safely will B. Have an accident? Total │ 1100│ 16%│
1118 │ ╶──────────────────────────┼─────┼──────┤
1119 │ Very S3a. Male │ 1104│ 16%│
1120 │ likely GENDER: Female│ 1715│ 25%│
1121 │ Total │ 2819│ 41%│
1122 │ ╶──────────────────────────┼─────┼──────┤
1123 │ Somewhat S3a. Male │ 1203│ 17%│
1124 │ likely GENDER: Female│ 1214│ 18%│
1125 │ Total │ 2417│ 35%│
1126 │ ╶──────────────────────────┼─────┼──────┤
1127 │ Somewhat S3a. Male │ 262│ 4%│
1128 │ unlikely GENDER: Female│ 168│ 2%│
1130 │ ╶──────────────────────────┼─────┼──────┤
1131 │ Very S3a. Male │ 81│ 1%│
1132 │ unlikely GENDER: Female│ 59│ 1%│
1134 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1135 │105b. How likely is it that drivers Almost S3a. Male │ 539│ 8%│
1136 │who have had too much to drink to certain GENDER: Female│ 610│ 9%│
1137 │drive safely will C. Be convicted for Total │ 1149│ 17%│
1138 │drunk driving? ╶──────────────────────────┼─────┼──────┤
1139 │ Very S3a. Male │ 988│ 14%│
1140 │ likely GENDER: Female│ 1049│ 15%│
1141 │ Total │ 2037│ 30%│
1142 │ ╶──────────────────────────┼─────┼──────┤
1143 │ Somewhat S3a. Male │ 822│ 12%│
1144 │ likely GENDER: Female│ 1210│ 18%│
1145 │ Total │ 2032│ 30%│
1146 │ ╶──────────────────────────┼─────┼──────┤
1147 │ Somewhat S3a. Male │ 446│ 7%│
1148 │ unlikely GENDER: Female│ 548│ 8%│
1150 │ ╶──────────────────────────┼─────┼──────┤
1151 │ Very S3a. Male │ 268│ 4%│
1152 │ unlikely GENDER: Female│ 354│ 5%│
1154 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1155 │105b. How likely is it that drivers Almost S3a. Male │ 498│ 7%│
1156 │who have had too much to drink to certain GENDER: Female│ 603│ 9%│
1157 │drive safely will D. Be arrested for Total │ 1101│ 16%│
1158 │drunk driving? ╶──────────────────────────┼─────┼──────┤
1159 │ Very S3a. Male │ 805│ 12%│
1160 │ likely GENDER: Female│ 1029│ 15%│
1161 │ Total │ 1834│ 27%│
1162 │ ╶──────────────────────────┼─────┼──────┤
1163 │ Somewhat S3a. Male │ 975│ 14%│
1164 │ likely GENDER: Female│ 1332│ 19%│
1165 │ Total │ 2307│ 34%│
1166 │ ╶──────────────────────────┼─────┼──────┤
1167 │ Somewhat S3a. Male │ 535│ 8%│
1168 │ unlikely GENDER: Female│ 560│ 8%│
1169 │ Total │ 1095│ 16%│
1170 │ ╶──────────────────────────┼─────┼──────┤
1171 │ Very S3a. Male │ 270│ 4%│
1172 │ unlikely GENDER: Female│ 279│ 4%│
1174 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
1177 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
1178 │ │ Almost │ Very │ Somewhat│ Somewhat│ Very │
1179 │ │ certain│likely│ likely │ unlikely│unlikely│
1180 │ ├────────┼──────┼─────────┼─────────┼────────┤
1182 │ │ Table %│ % │ Table % │ Table % │ Table %│
1183 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1184 │S3a. Male 105b. How likely │ 4%│ 10%│ 17%│ 9%│ 5%│
1185 │GENDER: is it that drivers│ │ │ │ │ │
1186 │ who have had too │ │ │ │ │ │
1187 │ much to drink to │ │ │ │ │ │
1188 │ drive safely will │ │ │ │ │ │
1189 │ A. Get stopped by │ │ │ │ │ │
1190 │ the police? │ │ │ │ │ │
1191 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1192 │ Female 105b. How likely │ 6%│ 12%│ 23%│ 10%│ 4%│
1193 │ is it that drivers│ │ │ │ │ │
1194 │ who have had too │ │ │ │ │ │
1195 │ much to drink to │ │ │ │ │ │
1196 │ drive safely will │ │ │ │ │ │
1197 │ A. Get stopped by │ │ │ │ │ │
1198 │ the police? │ │ │ │ │ │
1199 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1200 │ Total 105b. How likely │ 10%│ 22%│ 40%│ 19%│ 9%│
1201 │ is it that drivers│ │ │ │ │ │
1202 │ who have had too │ │ │ │ │ │
1203 │ much to drink to │ │ │ │ │ │
1204 │ drive safely will │ │ │ │ │ │
1205 │ A. Get stopped by │ │ │ │ │ │
1206 │ the police? │ │ │ │ │ │
1207 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1208 │S3a. Male 105b. How likely │ 6%│ 16%│ 17%│ 4%│ 1%│
1209 │GENDER: is it that drivers│ │ │ │ │ │
1210 │ who have had too │ │ │ │ │ │
1211 │ much to drink to │ │ │ │ │ │
1212 │ drive safely will │ │ │ │ │ │
1213 │ B. Have an │ │ │ │ │ │
1214 │ accident? │ │ │ │ │ │
1215 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1216 │ Female 105b. How likely │ 10%│ 25%│ 18%│ 2%│ 1%│
1217 │ is it that drivers│ │ │ │ │ │
1218 │ who have had too │ │ │ │ │ │
1219 │ much to drink to │ │ │ │ │ │
1220 │ drive safely will │ │ │ │ │ │
1221 │ B. Have an │ │ │ │ │ │
1222 │ accident? │ │ │ │ │ │
1223 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1224 │ Total 105b. How likely │ 16%│ 41%│ 35%│ 6%│ 2%│
1225 │ is it that drivers│ │ │ │ │ │
1226 │ who have had too │ │ │ │ │ │
1227 │ much to drink to │ │ │ │ │ │
1228 │ drive safely will │ │ │ │ │ │
1229 │ B. Have an │ │ │ │ │ │
1230 │ accident? │ │ │ │ │ │
1231 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1232 │S3a. Male 105b. How likely │ 8%│ 14%│ 12%│ 7%│ 4%│
1233 │GENDER: is it that drivers│ │ │ │ │ │
1234 │ who have had too │ │ │ │ │ │
1235 │ much to drink to │ │ │ │ │ │
1236 │ drive safely will │ │ │ │ │ │
1237 │ C. Be convicted │ │ │ │ │ │
1238 │ for drunk driving?│ │ │ │ │ │
1239 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1240 │ Female 105b. How likely │ 9%│ 15%│ 18%│ 8%│ 5%│
1241 │ is it that drivers│ │ │ │ │ │
1242 │ who have had too │ │ │ │ │ │
1243 │ much to drink to │ │ │ │ │ │
1244 │ drive safely will │ │ │ │ │ │
1245 │ C. Be convicted │ │ │ │ │ │
1246 │ for drunk driving?│ │ │ │ │ │
1247 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1248 │ Total 105b. How likely │ 17%│ 30%│ 30%│ 15%│ 9%│
1249 │ is it that drivers│ │ │ │ │ │
1250 │ who have had too │ │ │ │ │ │
1251 │ much to drink to │ │ │ │ │ │
1252 │ drive safely will │ │ │ │ │ │
1253 │ C. Be convicted │ │ │ │ │ │
1254 │ for drunk driving?│ │ │ │ │ │
1255 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1256 │S3a. Male 105b. How likely │ 7%│ 12%│ 14%│ 8%│ 4%│
1257 │GENDER: is it that drivers│ │ │ │ │ │
1258 │ who have had too │ │ │ │ │ │
1259 │ much to drink to │ │ │ │ │ │
1260 │ drive safely will │ │ │ │ │ │
1261 │ D. Be arrested for│ │ │ │ │ │
1262 │ drunk driving? │ │ │ │ │ │
1263 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1264 │ Female 105b. How likely │ 9%│ 15%│ 19%│ 8%│ 4%│
1265 │ is it that drivers│ │ │ │ │ │
1266 │ who have had too │ │ │ │ │ │
1267 │ much to drink to │ │ │ │ │ │
1268 │ drive safely will │ │ │ │ │ │
1269 │ D. Be arrested for│ │ │ │ │ │
1270 │ drunk driving? │ │ │ │ │ │
1271 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1272 │ Total 105b. How likely │ 16%│ 27%│ 34%│ 16%│ 8%│
1273 │ is it that drivers│ │ │ │ │ │
1274 │ who have had too │ │ │ │ │ │
1275 │ much to drink to │ │ │ │ │ │
1276 │ drive safely will │ │ │ │ │ │
1277 │ D. Be arrested for│ │ │ │ │ │
1278 │ drunk driving? │ │ │ │ │ │
1279 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
1283 AT_SETUP([CTABLES nesting and scale variables])
1284 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1285 AT_DATA([ctables.sps],
1287 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
1288 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
1289 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
1290 /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
1291 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
1293 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1295 ╭─────────────────────────────────────────────────────────────────┬────────────╮
1301 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1302 │D1. AGE: What 1. How often do you usually drive Every day │ 46│ 46│
1303 │is your age? a car or other motor vehicle? Several days a │ 51│ 59│
1305 │ Once a week or │ 44│ 54│
1307 │ Only certain │ 34│ 41│
1308 │ times a year │ │ │
1310 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
1313 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
1314 │ │Minimum│Maximum│Mean│
1315 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
1316 │D1. AGE: S3a. Male 26. During the last 12 Yes│ 16│ 86│ 42│
1317 │What is GENDER: months, has there been a │ │ │ │
1318 │your time when you felt you │ │ │ │
1319 │age? should cut down on your No │ 16│ 86│ 46│
1321 │ ╶───────────────────────────────────────┼───────┼───────┼────┤
1322 │ Female 26. During the last 12 Yes│ 16│ 86│ 43│
1323 │ months, has there been a │ │ │ │
1324 │ time when you felt you │ │ │ │
1325 │ should cut down on your No │ 16│ 86│ 48│
1327 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
1328 │D1. AGE: S3a. Male 27. During the last 12 Yes│ 16│ 86│ 38│
1329 │What is GENDER: months, has there been a │ │ │ │
1330 │your time when people criticized No │ 16│ 86│ 46│
1331 │age? your drinking? │ │ │ │
1332 │ ╶───────────────────────────────────────┼───────┼───────┼────┤
1333 │ Female 27. During the last 12 Yes│ 17│ 69│ 37│
1334 │ months, has there been a │ │ │ │
1335 │ time when people criticized No │ 16│ 86│ 48│
1336 │ your drinking? │ │ │ │
1337 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
1340 ╭─────────────────────────────┬────────────────────────────────────────────────╮
1341 │ │S1. Including yourself, how many members of this│
1342 │ │ household are age 16 or older? │
1343 │ ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
1344 │ │ │ │ │ │ │ │ 6 or │
1345 │ │ None │ 1 │ 2 │ 3 │ 4 │ 5 │ more │
1346 │ ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
1347 │ │Column│Column│Column│Column│Column│Column│Column│
1348 │ │ % │ % │ % │ % │ % │ % │ % │
1349 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
1350 │Sa1. RDD 105b. Almost │ .│ 9.5%│ 8.2%│ 12.4%│ 9.9%│ 20.0%│ 23.8%│
1351 │SAMPLE How certain │ │ │ │ │ │ │ │
1352 │SOURCE: likely │ │ │ │ │ │ │ │
1353 │ is it Very │ .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
1354 │ that likely │ │ │ │ │ │ │ │
1355 │ drivers │ │ │ │ │ │ │ │
1356 │ who have │ │ │ │ │ │ │ │
1357 │ had too Somewhat│ .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
1358 │ much to likely │ │ │ │ │ │ │ │
1359 │ drink to │ │ │ │ │ │ │ │
1360 │ drive │ │ │ │ │ │ │ │
1361 │ safely Somewhat│ .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│ 9.5%│
1362 │ will A. unlikely│ │ │ │ │ │ │ │
1363 │ Get │ │ │ │ │ │ │ │
1364 │ stopped Very │ .│ 9.2%│ 9.7%│ 8.2%│ 9.4%│ 7.3%│ 9.5%│
1365 │ by the unlikely│ │ │ │ │ │ │ │
1366 │ police? │ │ │ │ │ │ │ │
1367 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
1370 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
1373 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
1374 │Age 16 to 25 20. On how many of the thirty days in this │ 5.2│ 6.0│
1375 │group typical month did you have one or more │ │ │
1376 │ alcoholic beverages to drink? │ │ │
1377 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1378 │ 26 to 35 20. On how many of the thirty days in this │ 4.7│ 5.9│
1379 │ typical month did you have one or more │ │ │
1380 │ alcoholic beverages to drink? │ │ │
1381 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1382 │ 36 to 45 20. On how many of the thirty days in this │ 5.5│ 6.8│
1383 │ typical month did you have one or more │ │ │
1384 │ alcoholic beverages to drink? │ │ │
1385 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1386 │ 46 to 55 20. On how many of the thirty days in this │ 5.8│ 7.7│
1387 │ typical month did you have one or more │ │ │
1388 │ alcoholic beverages to drink? │ │ │
1389 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1390 │ 56 to 65 20. On how many of the thirty days in this │ 6.3│ 8.2│
1391 │ typical month did you have one or more │ │ │
1392 │ alcoholic beverages to drink? │ │ │
1393 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1394 │ 66 or 20. On how many of the thirty days in this │ 7.1│ 9.2│
1395 │ older typical month did you have one or more │ │ │
1396 │ alcoholic beverages to drink? │ │ │
1397 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
1402 AT_SETUP([CTABLES SLABELS])
1403 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1404 AT_DATA([ctables.sps],
1406 CTABLES /TABLE qn1 [COUNT COLPCT].
1407 CTABLES /TABLE qn1 [COUNT COLPCT]
1408 /SLABELS POSITION=ROW.
1409 CTABLES /TABLE qn1 [COUNT COLPCT]
1410 /SLABELS POSITION=ROW VISIBLE=NO.
1412 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1414 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
1417 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
1418 │ 1. How often do you usually drive a car or Every day │ 4667│ 66.9%│
1419 │other motor vehicle? Several days a week│ 1274│ 18.3%│
1420 │ Once a week or less│ 361│ 5.2%│
1421 │ Only certain times │ 130│ 1.9%│
1423 │ Never │ 540│ 7.7%│
1424 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
1427 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1428 │ 1. How often do you usually drive a car or Every day Count │ 4667│
1429 │other motor vehicle? Column │66.9%│
1431 │ ╶───────────────────────────┼─────┤
1432 │ Several days a week Count │ 1274│
1435 │ ╶───────────────────────────┼─────┤
1436 │ Once a week or less Count │ 361│
1439 │ ╶───────────────────────────┼─────┤
1440 │ Only certain times Count │ 130│
1441 │ a year Column │ 1.9%│
1443 │ ╶───────────────────────────┼─────┤
1444 │ Never Count │ 540│
1447 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1450 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1451 │ 1. How often do you usually drive a car or other Every day │ 4667│
1452 │motor vehicle? │66.9%│
1453 │ Several days a week │ 1274│
1455 │ Once a week or less │ 361│
1457 │ Only certain times a │ 130│
1461 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1465 AT_SETUP([CTABLES simple totals])
1466 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1467 AT_DATA([ctables.sps],
1470 /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
1471 DESCRIPTIVES qn18/STATISTICS=MEAN.
1472 CTABLES /TABLE=region > qn18 [MEAN, COUNT, VALIDN, TOTALN]
1473 /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
1475 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1477 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1479 ├────────────────────────────────────────────────────────────────────────┼─────┤
1480 │17. When you drink alcoholic beverages, which ONE of OR, something else│ 2│
1481 │the following beverages do you drink MOST OFTEN? Beer │ 1073│
1484 │ Wine coolers │ 137│
1485 │ Hard liquor or │ 888│
1487 │ Flavored malt │ 83│
1489 │ Number responding │ 4221│
1490 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1492 Descriptive Statistics
1493 ╭────────────────────────────────────────────────────────────────────┬────┬────╮
1495 ├────────────────────────────────────────────────────────────────────┼────┼────┤
1496 │18. When you drink ANSWERFROM(QN17R1), about how many │4218│4.62│
1497 │ANSWERFROM(QN17R2) do you usually drink per sitting? │ │ │
1498 │Valid N (listwise) │6999│ │
1499 │Missing N (listwise) │2781│ │
1500 ╰────────────────────────────────────────────────────────────────────┴────┴────╯
1503 ╭──────────────────────────────────────────────────────┬────┬─────┬──────┬─────╮
1504 │ │ │ │ Valid│Total│
1505 │ │Mean│Count│ N │ N │
1506 ├──────────────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1507 │Region NE 18. When you drink ANSWERFROM(QN17R1),│4.36│ 1409│ 949│ 1409│
1508 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1509 │ you usually drink per sitting? │ │ │ │ │
1510 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1511 │ MW 18. When you drink ANSWERFROM(QN17R1),│4.67│ 1654│ 1027│ 1654│
1512 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1513 │ you usually drink per sitting? │ │ │ │ │
1514 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1515 │ S 18. When you drink ANSWERFROM(QN17R1),│4.71│ 2390│ 1287│ 2390│
1516 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1517 │ you usually drink per sitting? │ │ │ │ │
1518 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1519 │ W 18. When you drink ANSWERFROM(QN17R1),│4.69│ 1546│ 955│ 1546│
1520 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1521 │ you usually drink per sitting? │ │ │ │ │
1522 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1523 │ All 18. When you drink ANSWERFROM(QN17R1),│4.62│ 6999│ 4218│ 6999│
1524 │ regions about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1525 │ you usually drink per sitting? │ │ │ │ │
1526 ╰──────────────────────────────────────────────────────┴────┴─────┴──────┴─────╯
1530 AT_SETUP([CTABLES subtotals])
1531 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1532 AT_DATA([ctables.sps],
1534 CTABLES /TABLE=qn105ba BY qns1
1535 /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
1536 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
1537 /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
1538 CTABLES /TABLE=qn105ba BY qns1
1539 /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
1540 /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
1542 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1544 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
1545 │ │ S1. Including yourself, how many members of this household │
1546 │ │ are age 16 or older? │
1547 │ ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
1548 │ │ 1 │ 2 │ Subtotal│ 3 │ 4 │ 5 │ Subtotal │
1549 │ ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1550 │ │ Count │ Count │ Count │ Count │ Count │ Count│ Count │
1551 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1552 │105b. How likely is it that drivers who have Almost │ 147│ 246│ 393│ 62│ 19│ 11│ 92│
1553 │had too much to drink to drive safely will A. certain │ │ │ │ │ │ │ │
1554 │Get stopped by the police? Very likely│ 384│ 552│ 936│ 120│ 51│ 14│ 185│
1555 │ Somewhat │ 590│ 1249│ 1839│ 193│ 72│ 20│ 285│
1556 │ likely │ │ │ │ │ │ │ │
1557 │ Somewhat │ 278│ 647│ 925│ 84│ 32│ 6│ 122│
1558 │ unlikely │ │ │ │ │ │ │ │
1559 │ Very │ 141│ 290│ 431│ 41│ 18│ 4│ 63│
1560 │ unlikely │ │ │ │ │ │ │ │
1561 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
1564 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
1565 │ │ S1. Including yourself, how many members of this household │
1566 │ │ are age 16 or older? │
1567 │ ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
1568 │ │ │ │ │ │ │ │ 6 or │
1569 │ │ None │ 1 │ 2 │ 3 │ 4 │ 5 │ more │
1570 │ ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
1571 │ │ │ │ │ │ Column│ │ │
1572 │ │Column %│Column %│Column %│Column %│ % │Column %│Column %│
1573 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
1574 │105b. How likely is it that drivers who have Almost │ .│ 9.5%│ 8.2%│ 12.4%│ 9.9%│ 20.0%│ 23.8%│
1575 │had too much to drink to drive safely will certain │ │ │ │ │ │ │ │
1576 │A. Get stopped by the police? Very likely│ .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
1577 │ Somewhat │ .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
1578 │ likely │ │ │ │ │ │ │ │
1579 │ Subtotal │ │ 72.8%│ 68.6%│ 75.0%│ 74.0%│ 81.8%│ 81.0%│
1580 │ Somewhat │ .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│ 9.5%│
1581 │ unlikely │ │ │ │ │ │ │ │
1582 │ Very │ .│ 9.2%│ 9.7%│ 8.2%│ 9.4%│ 7.3%│ 9.5%│
1583 │ unlikely │ │ │ │ │ │ │ │
1584 │ Subtotal │ │ 27.2%│ 31.4%│ 25.0%│ 26.0%│ 18.2%│ 19.0%│
1585 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
1588 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
1589 │ │ S1. Including yourself, how many members of this household │
1590 │ │ are age 16 or older? │
1591 │ ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
1592 │ │ 1 │ 2 │ Subtotal│ 3 │ 4 │ 5 │ Subtotal │
1593 │ ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1594 │ │ Count │ Count │ Count │ Count │ Count │ Count│ Count │
1595 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1596 │105b. How likely is it that drivers who have Almost │ 147│ 246│ 393│ 62│ 19│ 11│ 92│
1597 │had too much to drink to drive safely will A. certain │ │ │ │ │ │ │ │
1598 │Get stopped by the police? Very likely│ 384│ 552│ 936│ 120│ 51│ 14│ 185│
1599 │ Somewhat │ 590│ 1249│ 1839│ 193│ 72│ 20│ 285│
1600 │ likely │ │ │ │ │ │ │ │
1601 │ Subtotal │ 1121│ 2047│ 3168│ 375│ 142│ 45│ 562│
1602 │ Somewhat │ 278│ 647│ 925│ 84│ 32│ 6│ 122│
1603 │ unlikely │ │ │ │ │ │ │ │
1604 │ Very │ 141│ 290│ 431│ 41│ 18│ 4│ 63│
1605 │ unlikely │ │ │ │ │ │ │ │
1606 │ Subtotal │ 419│ 937│ 1356│ 125│ 50│ 10│ 185│
1607 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
1611 AT_SETUP([CTABLES PCOMPUTE])
1612 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1613 AT_DATA([ctables.sps],
1616 /PCOMPUTE &x=EXPR([3] + [4])
1617 /PCOMPUTE &y=EXPR([4] + [5])
1618 /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES FORMAT=COUNT F8.2
1619 /PPROPERTIES &y LABEL='4+5'
1620 /TABLE=qn105ba BY qns1
1621 /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
1623 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1625 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
1626 │ │ S1. Including yourself, how many members of this household │
1627 │ │ are age 16 or older? │
1628 │ ├───────┬───────┬──────────┬───────┬────────┬──────┬──────────┤
1629 │ │ 1 │ 2 │ Subtotal │ 5 │ 3+4 │ 4+5 │ Subtotal │
1630 │ ├───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
1631 │ │ Count │ Count │ Count │ Count │ Count │ Count│ Count │
1632 ├────────────────────────────────────────────────────────┼───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
1633 │105b. How likely is it that drivers who have Almost │ 147│ 246│ 393│ 11│ 81.00│ 30│ 92│
1634 │had too much to drink to drive safely will certain │ │ │ │ │ │ │ │
1635 │A. Get stopped by the police? Very likely│ 384│ 552│ 936│ 14│ 171.00│ 65│ 185│
1636 │ Somewhat │ 590│ 1249│ 1839│ 20│ 265.00│ 92│ 285│
1637 │ likely │ │ │ │ │ │ │ │
1638 │ Somewhat │ 278│ 647│ 925│ 6│ 116.00│ 38│ 122│
1639 │ unlikely │ │ │ │ │ │ │ │
1640 │ Very │ 141│ 290│ 431│ 4│ 59.00│ 22│ 63│
1641 │ unlikely │ │ │ │ │ │ │ │
1642 ╰────────────────────────────────────────────────────────┴───────┴───────┴──────────┴───────┴────────┴──────┴──────────╯
1646 AT_SETUP([CTABLES CLABELS])
1647 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1648 AT_DATA([ctables.sps],
1650 CTABLES /TABLE AgeGroup BY qns3a.
1651 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
1652 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
1653 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=LAYER.
1654 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=LAYER.
1657 AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
1659 ╭───────────────────────┬────────────╮
1665 ├───────────────────────┼─────┼──────┤
1666 │Age group 15 or younger│ 0│ 0│
1667 │ 16 to 25 │ 594│ 505│
1668 │ 26 to 35 │ 476│ 491│
1669 │ 36 to 45 │ 489│ 548│
1670 │ 46 to 55 │ 526│ 649│
1671 │ 56 to 65 │ 516│ 731│
1672 │ 66 or older │ 531│ 943│
1673 ╰───────────────────────┴─────┴──────╯
1676 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
1678 │ ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
1680 │ ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
1681 │ │ 15 or │ 16 to │ 26 to│ 36 to│ 46 to│ 56 to │ 66 or │ 15 or │ 16 to│ 26 to │ 36 to│ 46 to│ 56 to│ 66 or │
1682 │ │ younger │ 25 │ 35 │ 45 │ 55 │ 65 │ older │ younger │ 25 │ 35 │ 45 │ 55 │ 65 │ older │
1683 │ ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
1684 │ │ Count │ Count │ Count│ Count│ Count│ Count │ Count │ Count │ Count│ Count │ Count│ Count│ Count│ Count │
1685 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
1686 │Age │ 0│ 594│ 476│ 489│ 526│ 516│ 531│ 0│ 505│ 491│ 548│ 649│ 731│ 943│
1687 │group │ │ │ │ │ │ │ │ │ │ │ │ │ │ │
1688 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
1691 ╭──────────────────────────────┬────────────╮
1695 ├──────────────────────────────┼────────────┤
1696 │Age group 15 or younger Male │ 0│
1698 │ ╶────────────────────┼────────────┤
1699 │ 16 to 25 Male │ 594│
1701 │ ╶────────────────────┼────────────┤
1702 │ 26 to 35 Male │ 476│
1704 │ ╶────────────────────┼────────────┤
1705 │ 36 to 45 Male │ 489│
1707 │ ╶────────────────────┼────────────┤
1708 │ 46 to 55 Male │ 526│
1710 │ ╶────────────────────┼────────────┤
1711 │ 56 to 65 Male │ 516│
1713 │ ╶────────────────────┼────────────┤
1714 │ 66 or older Male │ 531│
1716 ╰──────────────────────────────┴────────────╯
1720 ╭─────────┬────────────╮
1726 ├─────────┼─────┼──────┤
1728 ╰─────────┴─────┴──────╯
1732 ╭─────────┬────────────╮
1738 ├─────────┼─────┼──────┤
1739 │Age group│ 594│ 505│
1740 ╰─────────┴─────┴──────╯
1744 ╭─────────┬────────────╮
1750 ├─────────┼─────┼──────┤
1751 │Age group│ 476│ 491│
1752 ╰─────────┴─────┴──────╯
1756 ╭─────────┬────────────╮
1762 ├─────────┼─────┼──────┤
1763 │Age group│ 489│ 548│
1764 ╰─────────┴─────┴──────╯
1768 ╭─────────┬────────────╮
1774 ├─────────┼─────┼──────┤
1775 │Age group│ 526│ 649│
1776 ╰─────────┴─────┴──────╯
1780 ╭─────────┬────────────╮
1786 ├─────────┼─────┼──────┤
1787 │Age group│ 516│ 731│
1788 ╰─────────┴─────┴──────╯
1792 ╭─────────┬────────────╮
1798 ├─────────┼─────┼──────┤
1799 │Age group│ 531│ 943│
1800 ╰─────────┴─────┴──────╯
1804 ╭───────────────────────┬────────────╮
1808 ├───────────────────────┼────────────┤
1809 │Age group 15 or younger│ 0│
1815 │ 66 or older │ 531│
1816 ╰───────────────────────┴────────────╯
1820 ╭───────────────────────┬────────────╮
1824 ├───────────────────────┼────────────┤
1825 │Age group 15 or younger│ 0│
1831 │ 66 or older │ 943│
1832 ╰───────────────────────┴────────────╯
1836 AT_SETUP([CTABLES missing values])
1837 AT_DATA([ctables.sps],
1838 [[DATA LIST LIST NOTABLE/x y.
1877 MISSING VALUES x (1, 2) y (2, 3).
1878 VARIABLE LEVEL ALL (NOMINAL).
1880 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN,
1881 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
1882 /CATEGORIES VARIABLES=ALL TOTAL=YES.
1883 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN,
1884 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
1885 /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
1886 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
1887 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1888 /CATEGORIES VARIABLES=ALL TOTAL=YES
1889 /SLABELS POSITION=ROW.
1890 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
1891 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1892 /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE
1893 /SLABELS POSITION=ROW.
1894 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
1895 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1896 /CATEGORIES VARIABLES=x [1, 2, 3, 4] TOTAL=YES
1897 /CATEGORIES VARIABLES=y [1, 3, 4, 5] TOTAL=YES
1898 /SLABELS POSITION=ROW.
1900 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1902 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1903 │ │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1904 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1905 │x 3.00 │ 6│ 33.3%│ 33.3%│ 16.7%│ │ │
1906 │ 4.00 │ 6│ 33.3%│ 33.3%│ 16.7%│ │ │
1907 │ 5.00 │ 6│ 33.3%│ 33.3%│ 16.7%│ │ │
1908 │ Total│ 18│ 100.0%│ 100.0%│ 100.0%│ 18│ 36│
1909 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1910 dnl Note that Column Total N % doesn't add up to 100 because missing
1911 dnl values are included in the total but not shown as a category and this
1912 dnl is expected behavior.
1915 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1916 │ │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1917 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1918 │x 1.00 │ 6│ 20.0%│ .0%│ 16.7%│ │ │
1919 │ 2.00 │ 6│ 20.0%│ .0%│ 16.7%│ │ │
1920 │ 3.00 │ 6│ 20.0%│ 33.3%│ 16.7%│ │ │
1921 │ 4.00 │ 6│ 20.0%│ 33.3%│ 16.7%│ │ │
1922 │ 5.00 │ 6│ 20.0%│ 33.3%│ 16.7%│ │ │
1923 │ Total│ 30│ 100.0%│ 100.0%│ 100.0%│ 18│ 36│
1924 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1925 dnl Note that Column Total N % doesn't add up to 100 because system-missing
1926 dnl values are included in the total but not shown as a category and this
1927 dnl is expected behavior.
1930 ╭────────────────────────┬───────────────────────────╮
1932 │ ├──────┬──────┬──────┬──────┤
1933 │ │ 1.00 │ 4.00 │ 5.00 │ Total│
1934 ├────────────────────────┼──────┼──────┼──────┼──────┤
1935 │x 3.00 Count │ 1│ 1│ 1│ 3│
1936 │ Column % │ 33.3%│ 33.3%│ 33.3%│ .│
1937 │ Column Valid N %│ 33.3%│ 33.3%│ 33.3%│ .│
1938 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ .│
1939 │ Row % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1940 │ Row Valid N % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1941 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│100.0%│
1942 │ Valid N │ │ │ │ 3│
1943 │ Total N │ │ │ │ 6│
1944 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1945 │ 4.00 Count │ 1│ 1│ 1│ 3│
1946 │ Column % │ 33.3%│ 33.3%│ 33.3%│ .│
1947 │ Column Valid N %│ 33.3%│ 33.3%│ 33.3%│ .│
1948 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ .│
1949 │ Row % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1950 │ Row Valid N % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1951 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│100.0%│
1952 │ Valid N │ │ │ │ 3│
1953 │ Total N │ │ │ │ 6│
1954 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1955 │ 5.00 Count │ 1│ 1│ 1│ 3│
1956 │ Column % │ 33.3%│ 33.3%│ 33.3%│ .│
1957 │ Column Valid N %│ 33.3%│ 33.3%│ 33.3%│ .│
1958 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ .│
1959 │ Row % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1960 │ Row Valid N % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1961 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│100.0%│
1962 │ Valid N │ │ │ │ 3│
1963 │ Total N │ │ │ │ 6│
1964 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1965 │ Total Count │ 3│ 3│ 3│ 9│
1966 │ Column % │100.0%│100.0%│100.0%│ .│
1967 │ Column Valid N %│100.0%│100.0%│100.0%│ .│
1968 │ Column Total N %│100.0%│100.0%│100.0%│ .│
1969 │ Row % │ .│ .│ .│ .│
1970 │ Row Valid N % │ .│ .│ .│ .│
1971 │ Row Total N % │ .│ .│ .│ .│
1972 │ Valid N │ 3│ 3│ 3│ 9│
1973 │ Total N │ 6│ 6│ 6│ 36│
1974 ╰────────────────────────┴──────┴──────┴──────┴──────╯
1977 ╭────────────────────────┬─────────────────────────────────────────╮
1979 │ ├──────┬──────┬──────┬──────┬──────┬──────┤
1980 │ │ 1.00 │ 2.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1981 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1982 │x 1.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
1983 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
1984 │ Column Valid N %│ .0%│ .│ .│ .0%│ .0%│ .│
1985 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
1986 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1987 │ Row Valid N % │ .│ .│ .│ .│ .│ .│
1988 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1989 │ Valid N │ │ │ │ │ │ 0│
1990 │ Total N │ │ │ │ │ │ 6│
1991 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1992 │ 2.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
1993 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
1994 │ Column Valid N %│ .0%│ .│ .│ .0%│ .0%│ .│
1995 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
1996 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1997 │ Row Valid N % │ .│ .│ .│ .│ .│ .│
1998 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1999 │ Valid N │ │ │ │ │ │ 0│
2000 │ Total N │ │ │ │ │ │ 6│
2001 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2002 │ 3.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
2003 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2004 │ Column Valid N %│ 33.3%│ .│ .│ 33.3%│ 33.3%│ .│
2005 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
2006 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
2007 │ Row Valid N % │ 33.3%│ .0%│ .0%│ 33.3%│ 33.3%│100.0%│
2008 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2009 │ Valid N │ │ │ │ │ │ 3│
2010 │ Total N │ │ │ │ │ │ 6│
2011 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2012 │ 4.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
2013 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2014 │ Column Valid N %│ 33.3%│ .│ .│ 33.3%│ 33.3%│ .│
2015 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
2016 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
2017 │ Row Valid N % │ 33.3%│ .0%│ .0%│ 33.3%│ 33.3%│100.0%│
2018 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2019 │ Valid N │ │ │ │ │ │ 3│
2020 │ Total N │ │ │ │ │ │ 6│
2021 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2022 │ 5.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
2023 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2024 │ Column Valid N %│ 33.3%│ .│ .│ 33.3%│ 33.3%│ .│
2025 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
2026 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
2027 │ Row Valid N % │ 33.3%│ .0%│ .0%│ 33.3%│ 33.3%│100.0%│
2028 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2029 │ Valid N │ │ │ │ │ │ 3│
2030 │ Total N │ │ │ │ │ │ 6│
2031 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2032 │ Total Count │ 5│ 5│ 5│ 5│ 5│ 25│
2033 │ Column % │100.0%│100.0%│100.0%│100.0%│100.0%│ .│
2034 │ Column Valid N %│100.0%│ .│ .│100.0%│100.0%│ .│
2035 │ Column Total N %│100.0%│100.0%│100.0%│100.0%│100.0%│ .│
2036 │ Row % │ .│ .│ .│ .│ .│ .│
2037 │ Row Valid N % │ .│ .│ .│ .│ .│ .│
2038 │ Row Total N % │ .│ .│ .│ .│ .│ .│
2039 │ Valid N │ 3│ 0│ 0│ 3│ 3│ 9│
2040 │ Total N │ 6│ 6│ 6│ 6│ 6│ 36│
2041 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────╯
2044 ╭────────────────────────┬──────────────────────────────────╮
2046 │ ├──────┬──────┬──────┬──────┬──────┤
2047 │ │ 1.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
2048 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┤
2049 │x 1.00 Count │ 1│ 1│ 1│ 1│ 4│
2050 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2051 │ Column Valid N %│ .0%│ .│ .0%│ .0%│ .│
2052 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2053 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2054 │ Row Valid N % │ .│ .│ .│ .│ .│
2055 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2056 │ Valid N │ │ │ │ │ 0│
2057 │ Total N │ │ │ │ │ 6│
2058 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2059 │ 2.00 Count │ 1│ 1│ 1│ 1│ 4│
2060 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2061 │ Column Valid N %│ .0%│ .│ .0%│ .0%│ .│
2062 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2063 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2064 │ Row Valid N % │ .│ .│ .│ .│ .│
2065 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2066 │ Valid N │ │ │ │ │ 0│
2067 │ Total N │ │ │ │ │ 6│
2068 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2069 │ 3.00 Count │ 1│ 1│ 1│ 1│ 4│
2070 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2071 │ Column Valid N %│ 50.0%│ .│ 50.0%│ 50.0%│ .│
2072 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2073 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2074 │ Row Valid N % │ 33.3%│ .0%│ 33.3%│ 33.3%│100.0%│
2075 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2076 │ Valid N │ │ │ │ │ 3│
2077 │ Total N │ │ │ │ │ 6│
2078 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2079 │ 4.00 Count │ 1│ 1│ 1│ 1│ 4│
2080 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2081 │ Column Valid N %│ 50.0%│ .│ 50.0%│ 50.0%│ .│
2082 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2083 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2084 │ Row Valid N % │ 33.3%│ .0%│ 33.3%│ 33.3%│100.0%│
2085 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2086 │ Valid N │ │ │ │ │ 3│
2087 │ Total N │ │ │ │ │ 6│
2088 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2089 │ Total Count │ 4│ 4│ 4│ 4│ 16│
2090 │ Column % │100.0%│100.0%│100.0%│100.0%│ .│
2091 │ Column Valid N %│100.0%│ .│100.0%│100.0%│ .│
2092 │ Column Total N %│100.0%│100.0%│100.0%│100.0%│ .│
2093 │ Row % │ .│ .│ .│ .│ .│
2094 │ Row Valid N % │ .│ .│ .│ .│ .│
2095 │ Row Total N % │ .│ .│ .│ .│ .│
2096 │ Valid N │ 2│ 0│ 2│ 2│ 6│
2097 │ Total N │ 5│ 5│ 5│ 5│ 30│
2098 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────╯
2102 AT_SETUP([CTABLES SMISSING=LISTWISE])
2103 AT_KEYWORDS([SMISSING LISTWISE])
2104 AT_DATA([ctables.sps],
2105 [[DATA LIST LIST NOTABLE/x y z.
2113 VARIABLE LEVEL x (NOMINAL).
2115 CTABLES /TABLE (y + z) > x.
2116 CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
2118 * The following doesn't come out as listwise because the tables are
2119 separate, not linked by an > operator.
2120 CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
2122 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
2152 AT_SETUP([CTABLES VLABELS])
2153 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2154 AT_DATA([ctables.sps],
2156 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=DEFAULT /TABLE qnd5a BY qns3a.
2157 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NAME /TABLE qnd5a BY qns3a.
2158 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=LABEL /TABLE qnd5a BY qns3a.
2159 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=BOTH /TABLE qnd5a BY qns3a.
2160 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NONE /TABLE qnd5a BY qns3a.
2162 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2164 ╭────────────────────────────────────────────────────────────────┬────────────╮
2170 ├────────────────────────────────────────────────────────────────┼─────┼──────┤
2171 │D5a. What would you say is your primary Cuban │ 13│ 7│
2172 │ethnic background? Mexican │ 175│ 136│
2174 │ South American │ 21│ 13│
2175 │ Central American │ 27│ 25│
2176 │ Puerto Rican, OR │ 37│ 41│
2177 │ Something else │ 35│ 33│
2178 │ Multiple - cannot │ 2│ 5│
2180 ╰────────────────────────────────────────────────────────────────┴─────┴──────╯
2183 ╭──────────────────────────────────┬────────────╮
2189 ├──────────────────────────────────┼─────┼──────┤
2190 │QND5A Cuban │ 13│ 7│
2191 │ Mexican │ 175│ 136│
2193 │ South American │ 21│ 13│
2194 │ Central American │ 27│ 25│
2195 │ Puerto Rican, OR │ 37│ 41│
2196 │ Something else │ 35│ 33│
2197 │ Multiple - cannot choose one│ 2│ 5│
2198 ╰──────────────────────────────────┴─────┴──────╯
2201 ╭────────────────────────────────────────────────────────────────┬────────────╮
2207 ├────────────────────────────────────────────────────────────────┼─────┼──────┤
2208 │D5a. What would you say is your primary Cuban │ 13│ 7│
2209 │ethnic background? Mexican │ 175│ 136│
2211 │ South American │ 21│ 13│
2212 │ Central American │ 27│ 25│
2213 │ Puerto Rican, OR │ 37│ 41│
2214 │ Something else │ 35│ 33│
2215 │ Multiple - cannot │ 2│ 5│
2217 ╰────────────────────────────────────────────────────────────────┴─────┴──────╯
2220 ╭────────────────────────────────────────────────────────────┬────────────────╮
2223 │ ├───────┬────────┤
2225 │ ├───────┼────────┤
2227 ├────────────────────────────────────────────────────────────┼───────┼────────┤
2228 │QND5A D5a. What would you say is your Cuban │ 13│ 7│
2229 │primary ethnic background? Mexican │ 175│ 136│
2231 │ South American │ 21│ 13│
2232 │ Central American │ 27│ 25│
2233 │ Puerto Rican, OR │ 37│ 41│
2234 │ Something else │ 35│ 33│
2235 │ Multiple - cannot │ 2│ 5│
2237 ╰────────────────────────────────────────────────────────────┴───────┴────────╯
2240 ╭────────────────────────────┬─────┬──────╮
2244 ├────────────────────────────┼─────┼──────┤
2246 │Mexican │ 175│ 136│
2248 │South American │ 21│ 13│
2249 │Central American │ 27│ 25│
2250 │Puerto Rican, OR │ 37│ 41│
2251 │Something else │ 35│ 33│
2252 │Multiple - cannot choose one│ 2│ 5│
2253 ╰────────────────────────────┴─────┴──────╯
2257 AT_SETUP([CTABLES FORMAT EMPTY])
2258 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2259 AT_DATA([ctables.sps],
2261 CTABLES /FORMAT EMPTY=ZERO /TABLE qnd5a BY qnd5.
2262 CTABLES /FORMAT EMPTY=BLANK /TABLE qnd5a BY qnd5.
2263 CTABLES /FORMAT EMPTY='n/a' /TABLE qnd5a BY qnd5.
2265 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2267 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2268 │ │ D5. ETHNICITY: Are you of │
2269 │ │ Hispanic or Latino origin or │
2271 │ ├───────────────┬───────────────┤
2273 │ ├───────────────┼───────────────┤
2275 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2276 │D5a. What would you say is Cuban │ 20│ 0│
2277 │your primary ethnic Mexican │ 311│ 0│
2278 │background? Spanish │ 48│ 0│
2279 │ South American │ 34│ 0│
2280 │ Central American│ 52│ 0│
2281 │ Puerto Rican, OR│ 78│ 0│
2282 │ Something else │ 68│ 0│
2283 │ Multiple - │ 7│ 0│
2284 │ cannot choose │ │ │
2286 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2289 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2290 │ │ D5. ETHNICITY: Are you of │
2291 │ │ Hispanic or Latino origin or │
2293 │ ├───────────────┬───────────────┤
2295 │ ├───────────────┼───────────────┤
2297 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2298 │D5a. What would you say is Cuban │ 20│ │
2299 │your primary ethnic Mexican │ 311│ │
2300 │background? Spanish │ 48│ │
2301 │ South American │ 34│ │
2302 │ Central American│ 52│ │
2303 │ Puerto Rican, OR│ 78│ │
2304 │ Something else │ 68│ │
2306 │ cannot choose │ │ │
2308 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2311 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2312 │ │ D5. ETHNICITY: Are you of │
2313 │ │ Hispanic or Latino origin or │
2315 │ ├───────────────┬───────────────┤
2317 │ ├───────────────┼───────────────┤
2319 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2320 │D5a. What would you say is Cuban │ 20│n/a │
2321 │your primary ethnic Mexican │ 311│n/a │
2322 │background? Spanish │ 48│n/a │
2323 │ South American │ 34│n/a │
2324 │ Central American│ 52│n/a │
2325 │ Puerto Rican, OR│ 78│n/a │
2326 │ Something else │ 68│n/a │
2327 │ Multiple - │ 7│n/a │
2328 │ cannot choose │ │ │
2330 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2334 AT_SETUP([CTABLES FORMAT MISSING])
2335 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2336 AT_DATA([ctables.sps],
2338 CTABLES /FORMAT MISSING='(no data)' /TABLE qnd5a[COLPCT] BY qnd5.
2340 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2342 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2343 │ │ D5. ETHNICITY: Are you of │
2344 │ │ Hispanic or Latino origin or │
2346 │ ├───────────────┬───────────────┤
2348 │ ├───────────────┼───────────────┤
2349 │ │ Column % │ Column % │
2350 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2351 │D5a. What would you say is Cuban │ 3.2%│(no data) │
2352 │your primary ethnic Mexican │ 50.3%│(no data) │
2353 │background? Spanish │ 7.8%│(no data) │
2354 │ South American │ 5.5%│(no data) │
2355 │ Central American│ 8.4%│(no data) │
2356 │ Puerto Rican, OR│ 12.6%│(no data) │
2357 │ Something else │ 11.0%│(no data) │
2358 │ Multiple - │ 1.1%│(no data) │
2359 │ cannot choose │ │ │
2361 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2365 AT_SETUP([CTABLES HIDESMALLCOUNTS])
2366 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2367 AT_DATA([ctables.sps],
2369 CTABLES /TABLE qn38[c][COUNT, COLPCT].
2370 CTABLES /HIDESMALLCOUNTS /TABLE qn38[c][COUNT, COLPCT].
2371 CTABLES /HIDESMALLCOUNTS COUNT=10 /TABLE qn38[c][COUNT, COLPCT].
2373 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2375 ╭──────────────────────────────────────────────────────────────┬─────┬────────╮
2377 ├──────────────────────────────────────────────────────────────┼─────┼────────┤
2378 │38. How many drinks did you have on that Less than one│ 7│ .5%│
2379 │occasion? 1 │ 491│ 34.9%│
2399 ╰──────────────────────────────────────────────────────────────┴─────┴────────╯
2402 ╭──────────────────────────────────────────────────────────────┬─────┬────────╮
2404 ├──────────────────────────────────────────────────────────────┼─────┼────────┤
2405 │38. How many drinks did you have on that Less than one│ 7│ .5%│
2406 │occasion? 1 │ 491│ 34.9%│
2426 ╰──────────────────────────────────────────────────────────────┴─────┴────────╯
2429 ╭──────────────────────────────────────────────────────────────┬─────┬────────╮
2431 ├──────────────────────────────────────────────────────────────┼─────┼────────┤
2432 │38. How many drinks did you have on that Less than one│<10 │ .5%│
2433 │occasion? 1 │ 491│ 34.9%│
2453 ╰──────────────────────────────────────────────────────────────┴─────┴────────╯
2457 AT_SETUP([CTABLES FORMAT MINCOLWIDTH MAXCOLWIDTH])
2458 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2459 AT_DATA([ctables.sps],
2461 CTABLES /FORMAT MINCOLWIDTH=1 MAXCOLWIDTH=2 UNITS=INCHES /TABLE BY qns3a.
2463 AT_CHECK([pspp ctables.sps -o - -O box=unicode -o pspp.spv], [0], [dnl
2475 AT_CHECK([pspp-output get-table-look pspp.spv pspp.stt])
2476 AT_CHECK([sed 's/ /\n/g' pspp.stt | grep ColumnWidth | sort], [0], [dnl
2477 maximumColumnWidth="192"
2478 minimumColumnWidth="96"
2482 AT_SETUP([CTABLES special formats])
2483 AT_KEYWORDS([NEGPAREN NEQUAL PAREN PCTPAREN])
2484 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2485 AT_DATA([ctables.sps],
2487 COMPUTE x = qnd3 - 4.
2488 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].
2490 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2492 ╭─┬───────┬───────┬───────┬───────┬───────┬───────┬───────┬───────╮
2493 │ │Minimum│Minimum│Minimum│Minimum│Maximum│Maximum│Maximum│Maximum│
2494 ├─┼───────┼───────┼───────┼───────┼───────┼───────┼───────┼───────┤
2495 │x│(3.0) │N=-3.0 │(-3.0) │(-3.0%)│8.0 │N=8.0 │(8.0) │(8.0%) │
2496 ╰─┴───────┴───────┴───────┴───────┴───────┴───────┴───────┴───────╯
2500 AT_SETUP([CTABLES TITLES])
2501 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2502 AT_DATA([ctables.sps],
2505 /VLABELS VARIABLES=qn1 DISPLAY=NONE
2506 /TABLE ((qn1[c][COUNT])) BY qns3a[c] > qnd5
2507 /TITLES TITLE='How often do you drive?'
2508 CAPTION='Generated )TIME on )DATE'
2511 AT_CHECK([pspp ctables.sps -O box=unicode | sed 's/..:..:../HH:MM:SS/
2512 s&../../..&MM/DD/YY&'], [0], [dnl
2513 How often do you drive?
2514 ╭───────────────────────────────────┬─────────────────────────────────────────╮
2516 │ ├────────────────────┬────────────────────┤
2518 │ ├────────────────────┼────────────────────┤
2519 │ │ D5. ETHNICITY: Are │ D5. ETHNICITY: Are │
2520 │ │ you of Hispanic or │ you of Hispanic or │
2521 │ │ Latino origin or │ Latino origin or │
2522 │( ( 1. How often do you usually │ descent? │ descent? │
2523 │drive a car or other motor ├─────────┬──────────┼─────────┬──────────┤
2524 │vehicle?) ) BY S3a. GENDER: > D5. │ Yes │ No │ Yes │ No │
2525 │ETHNICITY: Are you of Hispanic or ├─────────┼──────────┼─────────┼──────────┤
2526 │Latino origin or descent? │ Count │ Count │ Count │ Count │
2527 ├───────────────────────────────────┼─────────┼──────────┼─────────┼──────────┤
2528 │Every day │ 218│ 2066│ 166│ 2175│
2529 │Several days a week │ 44│ 391│ 45│ 782│
2530 │Once a week or less │ 16│ 109│ 12│ 223│
2531 │Only certain times a year │ 15│ 41│ 11│ 61│
2532 │Never │ 39│ 150│ 56│ 278│
2533 ╰───────────────────────────────────┴─────────┴──────────┴─────────┴──────────╯
2534 Generated HH:MM:SS on MM/DD/YY
2538 AT_SETUP([CTABLES summary functions])
2539 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2540 AT_DATA([ctables.sps],
2543 /TABLE region > qnd5 + qnd6_1 BY qnd7a + agegroup BY qns3a[COUNT, ROWPCT, COLPCT, SUBTABLEPCT]
2544 /SLABELS POSITION=ROW.
2546 AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [])