dnl - Summary functions:
dnl * Separate summary functions for totals and subtotals.
dnl * )CILEVEL in summary label specification
-dnl - CATEGORIES:
-dnl * Date values
-dnl * THRU (numeric ranges)
-dnl * OTHERNM
-dnl - Date/time variables and values
-dnl - Test PCOMPUTE:
-dnl * dates
dnl - Summary functions:
dnl * U-prefix for unweighted summaries.
dnl * areaPCT.SUM and UareaPCT.SUM functions.
-dnl - SPLIT FILE with SEPARATE splits
dnl - Definition of columns/rows when labels are rotated from one axis to another.
dnl
dnl Not for v1:
]])
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
+╭──────────────────┬───────────────────────────────────────────────────────────────────────────────────╮
+│ │ Gender │
+│ ├─────────────────────────────────────────┬─────────────────────────────────────────┤
+│ │ Male │ Female │
+│ ├─────────────────────────────────────────┼─────────────────────────────────────────┤
+│ │ Favorite day of the week │ Favorite day of the week │
+│ ├───┬───┬───┬───┬───┬───┬───┬───────┬─────┼───┬───┬───┬───┬───┬───┬───┬───────┬─────┤
+│ │SUN│MON│TUE│WED│THU│FRI│SAT│Weekend│Total│SUN│MON│TUE│WED│THU│FRI│SAT│Weekend│Total│
+├──────────────────┼───┼───┼───┼───┼───┼───┼───┼───────┼─────┼───┼───┼───┼───┼───┼───┼───┼───────┼─────┤
+│Favorite month JAN│ 10│ 3│ 8│ 6│ 4│ 2│ 7│ 17│ 40│ 9│ 6│ 4│ 2│ 7│ 5│ 3│ 12│ 36│
+│ FEB│ 6│ 8│ 6│ 4│ 2│ 7│ 5│ 11│ 38│ 12│ 4│ 2│ 7│ 5│ 3│ 8│ 20│ 41│
+│ MAR│ 16│ 6│ 4│ 2│ 7│ 5│ 3│ 19│ 43│ 8│ 2│ 7│ 5│ 3│ 8│ 6│ 14│ 39│
+│ Q1 │ 32│ 17│ 18│ 12│ 13│ 14│ 15│ │ │ 29│ 12│ 13│ 14│ 15│ 16│ 17│ │ │
+│ APR│ 12│ 4│ 2│ 7│ 5│ 3│ 8│ 20│ 41│ 4│ 7│ 5│ 3│ 8│ 6│ 4│ 8│ 37│
+│ MAY│ 8│ 2│ 7│ 5│ 3│ 8│ 6│ 14│ 39│ 14│ 5│ 3│ 8│ 6│ 4│ 2│ 16│ 42│
+│ JUN│ 4│ 7│ 5│ 3│ 8│ 6│ 4│ 8│ 37│ 10│ 3│ 8│ 6│ 4│ 2│ 7│ 17│ 40│
+│ Q2 │ 24│ 13│ 14│ 15│ 16│ 17│ 18│ .│ │ 28│ 15│ 16│ 17│ 18│ 12│ 13│ .│ │
+│ JUL│ 14│ 5│ 3│ 8│ 6│ 4│ 2│ 16│ 42│ 6│ 8│ 6│ 4│ 2│ 7│ 5│ 11│ 38│
+│ AUG│ 10│ 3│ 8│ 6│ 4│ 2│ 7│ 17│ 40│ 16│ 6│ 4│ 2│ 7│ 5│ 3│ 19│ 43│
+│ SEP│ 6│ 8│ 6│ 4│ 2│ 7│ 5│ 11│ 38│ 12│ 4│ 2│ 7│ 5│ 3│ 8│ 20│ 41│
+│ Q3 │ 54│ 29│ 31│ 33│ 28│ 30│ 32│ │ │ 62│ 33│ 28│ 30│ 32│ 27│ 29│ │ │
+│ OCT│ 16│ 6│ 4│ 2│ 7│ 5│ 3│ 19│ 43│ 8│ 2│ 7│ 5│ 3│ 8│ 6│ 14│ 39│
+│ NOV│ 12│ 4│ 2│ 7│ 5│ 3│ 8│ 20│ 41│ 4│ 7│ 5│ 3│ 8│ 6│ 4│ 8│ 37│
+│ DEC│ 8│ 2│ 7│ 5│ 3│ 8│ 6│ 14│ 39│ 14│ 5│ 3│ 8│ 6│ 4│ 2│ 16│ 42│
+│ Q4 │ 36│ 12│ 13│ 14│ 15│ 16│ 17│ │ │ 26│ 14│ 15│ 16│ 17│ 18│ 12│ │ │
+╰──────────────────┴───┴───┴───┴───┴───┴───┴───┴───────┴─────┴───┴───┴───┴───┴───┴───┴───┴───────┴─────╯
+])
+AT_CLEANUP
+
AT_SETUP([CTABLES CLABELS])
AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
AT_DATA([ctables.sps],
])
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],
])
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
+╭────────────────────────────────────────────────────────────────────────┬─────╮
+│ │Count│
+├────────────────────────────────────────────────────────────────────────┼─────┤
+│105b. How likely is it that drivers who have had too much Almost │ 700│
+│to drink to drive safely will A. Get stopped by the police? certain │ │
+│ Very likely │ 1502│
+│ Somewhat │ 2763│
+│ likely │ │
+│ Somewhat │ 1307│
+│ unlikely │ │
+│ Very │ 609│
+│ unlikely │ │
+╰────────────────────────────────────────────────────────────────────────┴─────╯
+
+ Custom Tables
+╭────────────────────────────────────────────────────────────────────────┬─────╮
+│ │Count│
+├────────────────────────────────────────────────────────────────────────┼─────┤
+│105b. How likely is it that drivers who have had too much Almost │ 700│
+│to drink to drive safely will A. Get stopped by the police? certain │ │
+│ Very likely │ 1502│
+│ Somewhat │ 2763│
+│ likely │ │
+│ Somewhat │ 1307│
+│ unlikely │ │
+│ Very │ 609│
+│ unlikely │ │
+╰────────────────────────────────────────────────────────────────────────┴─────╯
+
+ Custom Tables
+╭─────────────────────────────────────────────────────────────────┬────────────╮
+│ │S3a. GENDER:│
+│ ├─────┬──────┤
+│ │ Male│Female│
+│ ├─────┼──────┤
+│ │Count│ Count│
+├─────────────────────────────────────────────────────────────────┼─────┼──────┤
+│105b. How likely is it that drivers who have had too Almost │ 297│ 403│
+│much to drink to drive safely will A. Get stopped by certain │ │ │
+│the police? Very likely │ 660│ 842│
+│ Somewhat │ 1174│ 1589│
+│ likely │ │ │
+│ Somewhat │ 640│ 667│
+│ unlikely │ │ │
+│ Very │ 311│ 298│
+│ unlikely │ │ │
+╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
+
+ Split Values
+╭────────────┬─────╮
+│Variable │Value│
+├────────────┼─────┤
+│S3a. GENDER:│Male │
+╰────────────┴─────╯
+
+ Custom Tables
+╭────────────────────────────────────────────────────────────────────────┬─────╮
+│ │Count│
+├────────────────────────────────────────────────────────────────────────┼─────┤
+│105b. How likely is it that drivers who have had too much Almost │ 297│
+│to drink to drive safely will A. Get stopped by the police? certain │ │
+│ Very likely │ 660│
+│ Somewhat │ 1174│
+│ likely │ │
+│ Somewhat │ 640│
+│ unlikely │ │
+│ Very │ 311│
+│ unlikely │ │
+╰────────────────────────────────────────────────────────────────────────┴─────╯
+
+ Split Values
+╭────────────┬──────╮
+│Variable │ Value│
+├────────────┼──────┤
+│S3a. GENDER:│Female│
+╰────────────┴──────╯
+
+ Custom Tables
+╭────────────────────────────────────────────────────────────────────────┬─────╮
+│ │Count│
+├────────────────────────────────────────────────────────────────────────┼─────┤
+│105b. How likely is it that drivers who have had too much Almost │ 403│
+│to drink to drive safely will A. Get stopped by the police? certain │ │
+│ Very likely │ 842│
+│ Somewhat │ 1589│
+│ likely │ │
+│ Somewhat │ 667│
+│ unlikely │ │
+│ Very │ 298│
+│ unlikely │ │
+╰────────────────────────────────────────────────────────────────────────┴─────╯
+])
+AT_CLEANUP
projects / pspp / blobdiff