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:23.16-23.20: note: CTABLES: This variable on the rows axis has a
653 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
656 ctables.sps:23.33-23.37: note: CTABLES: This variable on the columns axis has a
658 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
661 ctables.sps:23.50-23.54: note: CTABLES: This variable on the layers axis has a
663 23 | CTABLES /TABLE qn113 [COUNT] BY qn114 [COUNT] BY qn116 [COUNT].
668 AT_SETUP([CTABLES one categorical variable])
669 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
670 AT_DATA([ctables.sps],
673 CTABLES /TABLE BY qn1.
674 CTABLES /TABLE BY BY qn1.
676 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
678 ╭────────────────────────────────────────────────────────────────────────┬─────╮
680 ├────────────────────────────────────────────────────────────────────────┼─────┤
681 │ 1. How often do you usually drive a car or other Every day │ 4667│
682 │motor vehicle? Several days a week │ 1274│
683 │ Once a week or less │ 361│
684 │ Only certain times a │ 130│
687 ╰────────────────────────────────────────────────────────────────────────┴─────╯
690 ╭──────────────────────────────────────────────────────────────────────────────╮
691 │ 1. How often do you usually drive a car or other motor vehicle? │
692 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
693 │ │ Several days a │ Once a week or │ Only certain times a │ │
694 │Every day│ week │ less │ year │Never│
695 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
696 │ Count │ Count │ Count │ Count │Count│
697 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
698 │ 4667│ 1274│ 361│ 130│ 540│
699 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
711 AT_SETUP([CTABLES one string variable])
712 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
713 AT_DATA([ctables.sps],
716 MISSING VALUES licensed('DontKnow', 'Refused').
717 RECODE qnd7a(1='Yes')(2='No')(3='DontKnow')(4='Refused') INTO licensed.
718 CTABLES /TABLE licensed.
719 CTABLES /TABLE licensed [COUNT, TOTALS[COUNT, VALIDN]] /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
720 CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['Yes', 'No'] TOTAL=YES.
721 * Notice that the string matching is case-sensitive.
722 CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['Yes', 'no'] TOTAL=YES.
723 CTABLES /TABLE licensed /CATEGORIES VARIABLES=licensed ['No' THRU 'yes'] TOTAL=YES.
725 /PCOMPUTE ¬yes=EXPR(['No']+['DontKnow']+['Refused'])
726 /PPROPERTIES ¬yes LABEL='Not Yes' HIDESOURCECATS=YES
728 /CATEGORIES VARIABLES=licensed ['Yes', ¬yes, 'No', 'DontKnow', 'Refused'].
730 /PCOMPUTE ¬yes=EXPR(['DontKnow' THRU 'No'] + ['Refused'])
731 /PPROPERTIES ¬yes LABEL='Not Yes' HIDESOURCECATS=YES
733 /CATEGORIES VARIABLES=licensed ['Yes', ¬yes, 'DontKnow' THRU 'No', 'Refused'].
735 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
745 ╭─────────────────┬─────┬───────╮
747 ├─────────────────┼─────┼───────┤
748 │licensed DontKnow│ 4│ │
752 │ Total │ 6999│ 6951│
753 ╰─────────────────┴─────┴───────╯
756 ╭──────────────┬─────╮
758 ├──────────────┼─────┤
759 │licensed Yes │ 6379│
762 ╰──────────────┴─────╯
765 ╭──────────────┬─────╮
767 ├──────────────┼─────┤
768 │licensed Yes │ 6379│
771 ╰──────────────┴─────╯
774 ╭────────────────┬─────╮
776 ├────────────────┼─────┤
781 ╰────────────────┴─────╯
784 ╭────────────────┬─────╮
786 ├────────────────┼─────┤
787 │licensed Yes │ 6379│
789 ╰────────────────┴─────╯
792 ╭────────────────┬─────╮
794 ├────────────────┼─────┤
795 │licensed Yes │ 6379│
797 ╰────────────────┴─────╯
801 AT_SETUP([CTABLES one scale variable])
802 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
803 AT_DATA([ctables.sps],
805 CTABLES /TABLE qnd1[COUNT, VALIDN, TOTALN, MEAN, STDDEV, MINIMUM, MAXIMUM].
806 CTABLES /TABLE BY qnd1.
807 CTABLES /TABLE BY BY qnd1.
809 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
811 ╭──────────────────────┬─────┬───────┬───────┬────┬────────────┬───────┬───────╮
812 │ │ │ │ │ │ Std │ │ │
813 │ │Count│Valid N│Total N│Mean│ Deviation │Minimum│Maximum│
814 ├──────────────────────┼─────┼───────┼───────┼────┼────────────┼───────┼───────┤
815 │D1. AGE: What is your │ 6999│ 6930│ 6999│ 48│ 19│ 16│ 86│
816 │age? │ │ │ │ │ │ │ │
817 ╰──────────────────────┴─────┴───────┴───────┴────┴────────────┴───────┴───────╯
820 ╭──────────────────────────╮
821 │D1. AGE: What is your age?│
822 ├──────────────────────────┤
824 ├──────────────────────────┤
826 ╰──────────────────────────╯
829 D1. AGE: What is your age?
838 AT_SETUP([CTABLES simple stacking])
839 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
840 AT_DATA([ctables.sps],
842 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
844 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
846 ╭───────────────────────────────────────────────────────────────┬──────────────╮
853 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
854 │105b. How likely is it that drivers who have had Almost │ 10%│ 11%│
855 │too much to drink to drive safely will A. Get certain │ │ │
856 │stopped by the police? Very likely │ 21%│ 22%│
857 │ Somewhat │ 38%│ 42%│
859 │ Somewhat │ 21%│ 18%│
863 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
864 │105b. How likely is it that drivers who have had Almost │ 14%│ 18%│
865 │too much to drink to drive safely will B. Have an certain │ │ │
866 │accident? Very likely │ 36%│ 45%│
867 │ Somewhat │ 39%│ 32%│
873 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
874 │105b. How likely is it that drivers who have had Almost │ 18%│ 16%│
875 │too much to drink to drive safely will C. Be certain │ │ │
876 │convicted for drunk driving? Very likely │ 32%│ 28%│
877 │ Somewhat │ 27%│ 32%│
879 │ Somewhat │ 15%│ 15%│
883 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
884 │105b. How likely is it that drivers who have had Almost │ 16%│ 16%│
885 │too much to drink to drive safely will D. Be certain │ │ │
886 │arrested for drunk driving? Very likely │ 26%│ 27%│
887 │ Somewhat │ 32%│ 35%│
889 │ Somewhat │ 17%│ 15%│
893 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
897 AT_SETUP([CTABLES show or hide empty categories])
898 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
899 AT_DATA([ctables.sps],
901 IF (qn105ba = 2) qn105ba = 1.
902 IF (qns3a = 1) qns3a = 2.
903 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
904 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
905 /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
906 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
907 /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
908 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
909 /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
911 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
913 ╭──────────────────────────────────────────────────────────────┬───────────────╮
920 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
921 │105b. How likely is it that drivers who have had Almost │ .│ 32%│
922 │too much to drink to drive safely will A. Get certain │ │ │
923 │stopped by the police? Very likely│ .│ 0%│
930 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
933 ╭──────────────────────────────────────────────────────────────┬───────────────╮
940 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
941 │105b. How likely is it that drivers who have had Almost │ .│ 32%│
942 │too much to drink to drive safely will A. Get certain │ │ │
943 │stopped by the police? Somewhat │ .│ 40%│
949 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
952 ╭────────────────────────────────────────────────────────────────────┬─────────╮
959 ├────────────────────────────────────────────────────────────────────┼─────────┤
960 │105b. How likely is it that drivers who have had too Almost │ 32%│
961 │much to drink to drive safely will A. Get stopped by certain │ │
962 │the police? Very likely │ 0%│
969 ╰────────────────────────────────────────────────────────────────────┴─────────╯
972 ╭────────────────────────────────────────────────────────────────────┬─────────╮
979 ├────────────────────────────────────────────────────────────────────┼─────────┤
980 │105b. How likely is it that drivers who have had too Almost │ 32%│
981 │much to drink to drive safely will A. Get stopped by certain │ │
982 │the police? Somewhat │ 40%│
988 ╰────────────────────────────────────────────────────────────────────┴─────────╯
992 AT_SETUP([CTABLES sorting categories])
993 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
994 AT_DATA([ctables.sps],
996 IF (QND5A=6) QND5A=-1.
997 IF (QND5A=5) QND5A=-2.
998 CTABLES /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=VALUE ORDER=A
999 /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=VALUE ORDER=D
1000 /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=LABEL ORDER=A
1001 /TABLE qnd5a /CATEGORIES VARIABLES=qnd5a KEY=LABEL ORDER=D.
1003 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1005 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1007 ├────────────────────────────────────────────────────────────────────────┼─────┤
1008 │D5a. What would you say is your primary ethnic -2.00 │ 52│
1009 │background? -1.00 │ 78│
1013 │ South American │ 34│
1014 │ Central American │ 0│
1015 │ Puerto Rican, OR │ 0│
1016 │ Something else │ 68│
1017 │ Multiple - cannot choose│ 7│
1019 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1022 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1024 ├────────────────────────────────────────────────────────────────────────┼─────┤
1025 │D5a. What would you say is your primary ethnic Multiple - cannot choose│ 7│
1026 │background? one │ │
1027 │ Something else │ 68│
1028 │ Puerto Rican, OR │ 0│
1029 │ Central American │ 0│
1030 │ South American │ 34│
1036 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1039 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1041 ├────────────────────────────────────────────────────────────────────────┼─────┤
1042 │D5a. What would you say is your primary ethnic Central American │ 0│
1043 │background? Cuban │ 20│
1045 │ Multiple - cannot choose│ 7│
1047 │ Puerto Rican, OR │ 0│
1048 │ Something else │ 68│
1049 │ South American │ 34│
1053 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1056 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1058 ├────────────────────────────────────────────────────────────────────────┼─────┤
1059 │D5a. What would you say is your primary ethnic Spanish │ 48│
1060 │background? South American │ 34│
1061 │ Something else │ 68│
1062 │ Puerto Rican, OR │ 0│
1063 │ Multiple - cannot choose│ 7│
1067 │ Central American │ 0│
1070 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1074 AT_SETUP([CTABLES simple nesting])
1075 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1076 AT_DATA([ctables.sps],
1078 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
1079 /CATEGORIES VARIABLES=qns3a TOTAL=YES.
1080 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
1081 /CATEGORIES VARIABLES=qns3a TOTAL=YES
1082 /CLABELS ROW=OPPOSITE.
1084 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1086 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
1089 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1090 │105b. How likely is it that drivers Almost S3a. Male │ 297│ 4%│
1091 │who have had too much to drink to certain GENDER: Female│ 403│ 6%│
1092 │drive safely will A. Get stopped by Total │ 700│ 10%│
1093 │the police? ╶──────────────────────────┼─────┼──────┤
1094 │ Very S3a. Male │ 660│ 10%│
1095 │ likely GENDER: Female│ 842│ 12%│
1096 │ Total │ 1502│ 22%│
1097 │ ╶──────────────────────────┼─────┼──────┤
1098 │ Somewhat S3a. Male │ 1174│ 17%│
1099 │ likely GENDER: Female│ 1589│ 23%│
1100 │ Total │ 2763│ 40%│
1101 │ ╶──────────────────────────┼─────┼──────┤
1102 │ Somewhat S3a. Male │ 640│ 9%│
1103 │ unlikely GENDER: Female│ 667│ 10%│
1104 │ Total │ 1307│ 19%│
1105 │ ╶──────────────────────────┼─────┼──────┤
1106 │ Very S3a. Male │ 311│ 5%│
1107 │ unlikely GENDER: Female│ 298│ 4%│
1109 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1110 │105b. How likely is it that drivers Almost S3a. Male │ 429│ 6%│
1111 │who have had too much to drink to certain GENDER: Female│ 671│ 10%│
1112 │drive safely will B. Have an accident? Total │ 1100│ 16%│
1113 │ ╶──────────────────────────┼─────┼──────┤
1114 │ Very S3a. Male │ 1104│ 16%│
1115 │ likely GENDER: Female│ 1715│ 25%│
1116 │ Total │ 2819│ 41%│
1117 │ ╶──────────────────────────┼─────┼──────┤
1118 │ Somewhat S3a. Male │ 1203│ 17%│
1119 │ likely GENDER: Female│ 1214│ 18%│
1120 │ Total │ 2417│ 35%│
1121 │ ╶──────────────────────────┼─────┼──────┤
1122 │ Somewhat S3a. Male │ 262│ 4%│
1123 │ unlikely GENDER: Female│ 168│ 2%│
1125 │ ╶──────────────────────────┼─────┼──────┤
1126 │ Very S3a. Male │ 81│ 1%│
1127 │ unlikely GENDER: Female│ 59│ 1%│
1129 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1130 │105b. How likely is it that drivers Almost S3a. Male │ 539│ 8%│
1131 │who have had too much to drink to certain GENDER: Female│ 610│ 9%│
1132 │drive safely will C. Be convicted for Total │ 1149│ 17%│
1133 │drunk driving? ╶──────────────────────────┼─────┼──────┤
1134 │ Very S3a. Male │ 988│ 14%│
1135 │ likely GENDER: Female│ 1049│ 15%│
1136 │ Total │ 2037│ 30%│
1137 │ ╶──────────────────────────┼─────┼──────┤
1138 │ Somewhat S3a. Male │ 822│ 12%│
1139 │ likely GENDER: Female│ 1210│ 18%│
1140 │ Total │ 2032│ 30%│
1141 │ ╶──────────────────────────┼─────┼──────┤
1142 │ Somewhat S3a. Male │ 446│ 7%│
1143 │ unlikely GENDER: Female│ 548│ 8%│
1145 │ ╶──────────────────────────┼─────┼──────┤
1146 │ Very S3a. Male │ 268│ 4%│
1147 │ unlikely GENDER: Female│ 354│ 5%│
1149 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1150 │105b. How likely is it that drivers Almost S3a. Male │ 498│ 7%│
1151 │who have had too much to drink to certain GENDER: Female│ 603│ 9%│
1152 │drive safely will D. Be arrested for Total │ 1101│ 16%│
1153 │drunk driving? ╶──────────────────────────┼─────┼──────┤
1154 │ Very S3a. Male │ 805│ 12%│
1155 │ likely GENDER: Female│ 1029│ 15%│
1156 │ Total │ 1834│ 27%│
1157 │ ╶──────────────────────────┼─────┼──────┤
1158 │ Somewhat S3a. Male │ 975│ 14%│
1159 │ likely GENDER: Female│ 1332│ 19%│
1160 │ Total │ 2307│ 34%│
1161 │ ╶──────────────────────────┼─────┼──────┤
1162 │ Somewhat S3a. Male │ 535│ 8%│
1163 │ unlikely GENDER: Female│ 560│ 8%│
1164 │ Total │ 1095│ 16%│
1165 │ ╶──────────────────────────┼─────┼──────┤
1166 │ Very S3a. Male │ 270│ 4%│
1167 │ unlikely GENDER: Female│ 279│ 4%│
1169 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
1172 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
1173 │ │ Almost │ Very │ Somewhat│ Somewhat│ Very │
1174 │ │ certain│likely│ likely │ unlikely│unlikely│
1175 │ ├────────┼──────┼─────────┼─────────┼────────┤
1177 │ │ Table %│ % │ Table % │ Table % │ Table %│
1178 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1179 │S3a. Male 105b. How likely │ 4%│ 10%│ 17%│ 9%│ 5%│
1180 │GENDER: is it that drivers│ │ │ │ │ │
1181 │ who have had too │ │ │ │ │ │
1182 │ much to drink to │ │ │ │ │ │
1183 │ drive safely will │ │ │ │ │ │
1184 │ A. Get stopped by │ │ │ │ │ │
1185 │ the police? │ │ │ │ │ │
1186 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1187 │ Female 105b. How likely │ 6%│ 12%│ 23%│ 10%│ 4%│
1188 │ is it that drivers│ │ │ │ │ │
1189 │ who have had too │ │ │ │ │ │
1190 │ much to drink to │ │ │ │ │ │
1191 │ drive safely will │ │ │ │ │ │
1192 │ A. Get stopped by │ │ │ │ │ │
1193 │ the police? │ │ │ │ │ │
1194 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1195 │ Total 105b. How likely │ 10%│ 22%│ 40%│ 19%│ 9%│
1196 │ is it that drivers│ │ │ │ │ │
1197 │ who have had too │ │ │ │ │ │
1198 │ much to drink to │ │ │ │ │ │
1199 │ drive safely will │ │ │ │ │ │
1200 │ A. Get stopped by │ │ │ │ │ │
1201 │ the police? │ │ │ │ │ │
1202 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1203 │S3a. Male 105b. How likely │ 6%│ 16%│ 17%│ 4%│ 1%│
1204 │GENDER: is it that drivers│ │ │ │ │ │
1205 │ who have had too │ │ │ │ │ │
1206 │ much to drink to │ │ │ │ │ │
1207 │ drive safely will │ │ │ │ │ │
1208 │ B. Have an │ │ │ │ │ │
1209 │ accident? │ │ │ │ │ │
1210 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1211 │ Female 105b. How likely │ 10%│ 25%│ 18%│ 2%│ 1%│
1212 │ is it that drivers│ │ │ │ │ │
1213 │ who have had too │ │ │ │ │ │
1214 │ much to drink to │ │ │ │ │ │
1215 │ drive safely will │ │ │ │ │ │
1216 │ B. Have an │ │ │ │ │ │
1217 │ accident? │ │ │ │ │ │
1218 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1219 │ Total 105b. How likely │ 16%│ 41%│ 35%│ 6%│ 2%│
1220 │ is it that drivers│ │ │ │ │ │
1221 │ who have had too │ │ │ │ │ │
1222 │ much to drink to │ │ │ │ │ │
1223 │ drive safely will │ │ │ │ │ │
1224 │ B. Have an │ │ │ │ │ │
1225 │ accident? │ │ │ │ │ │
1226 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1227 │S3a. Male 105b. How likely │ 8%│ 14%│ 12%│ 7%│ 4%│
1228 │GENDER: is it that drivers│ │ │ │ │ │
1229 │ who have had too │ │ │ │ │ │
1230 │ much to drink to │ │ │ │ │ │
1231 │ drive safely will │ │ │ │ │ │
1232 │ C. Be convicted │ │ │ │ │ │
1233 │ for drunk driving?│ │ │ │ │ │
1234 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1235 │ Female 105b. How likely │ 9%│ 15%│ 18%│ 8%│ 5%│
1236 │ is it that drivers│ │ │ │ │ │
1237 │ who have had too │ │ │ │ │ │
1238 │ much to drink to │ │ │ │ │ │
1239 │ drive safely will │ │ │ │ │ │
1240 │ C. Be convicted │ │ │ │ │ │
1241 │ for drunk driving?│ │ │ │ │ │
1242 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1243 │ Total 105b. How likely │ 17%│ 30%│ 30%│ 15%│ 9%│
1244 │ is it that drivers│ │ │ │ │ │
1245 │ who have had too │ │ │ │ │ │
1246 │ much to drink to │ │ │ │ │ │
1247 │ drive safely will │ │ │ │ │ │
1248 │ C. Be convicted │ │ │ │ │ │
1249 │ for drunk driving?│ │ │ │ │ │
1250 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1251 │S3a. Male 105b. How likely │ 7%│ 12%│ 14%│ 8%│ 4%│
1252 │GENDER: is it that drivers│ │ │ │ │ │
1253 │ who have had too │ │ │ │ │ │
1254 │ much to drink to │ │ │ │ │ │
1255 │ drive safely will │ │ │ │ │ │
1256 │ D. Be arrested for│ │ │ │ │ │
1257 │ drunk driving? │ │ │ │ │ │
1258 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1259 │ Female 105b. How likely │ 9%│ 15%│ 19%│ 8%│ 4%│
1260 │ is it that drivers│ │ │ │ │ │
1261 │ who have had too │ │ │ │ │ │
1262 │ much to drink to │ │ │ │ │ │
1263 │ drive safely will │ │ │ │ │ │
1264 │ D. Be arrested for│ │ │ │ │ │
1265 │ drunk driving? │ │ │ │ │ │
1266 │ ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
1267 │ Total 105b. How likely │ 16%│ 27%│ 34%│ 16%│ 8%│
1268 │ is it that drivers│ │ │ │ │ │
1269 │ who have had too │ │ │ │ │ │
1270 │ much to drink to │ │ │ │ │ │
1271 │ drive safely will │ │ │ │ │ │
1272 │ D. Be arrested for│ │ │ │ │ │
1273 │ drunk driving? │ │ │ │ │ │
1274 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
1278 AT_SETUP([CTABLES nesting and scale variables])
1279 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1280 AT_DATA([ctables.sps],
1282 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
1283 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
1284 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
1285 /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
1286 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
1288 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1290 ╭─────────────────────────────────────────────────────────────────┬────────────╮
1296 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
1297 │D1. AGE: What 1. How often do you usually drive Every day │ 46│ 46│
1298 │is your age? a car or other motor vehicle? Several days a │ 51│ 59│
1300 │ Once a week or │ 44│ 54│
1302 │ Only certain │ 34│ 41│
1303 │ times a year │ │ │
1305 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
1308 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
1309 │ │Minimum│Maximum│Mean│
1310 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
1311 │D1. AGE: S3a. Male 26. During the last 12 Yes│ 16│ 86│ 42│
1312 │What is GENDER: months, has there been a │ │ │ │
1313 │your time when you felt you │ │ │ │
1314 │age? should cut down on your No │ 16│ 86│ 46│
1316 │ ╶───────────────────────────────────────┼───────┼───────┼────┤
1317 │ Female 26. During the last 12 Yes│ 16│ 86│ 43│
1318 │ months, has there been a │ │ │ │
1319 │ time when you felt you │ │ │ │
1320 │ should cut down on your No │ 16│ 86│ 48│
1322 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
1323 │D1. AGE: S3a. Male 27. During the last 12 Yes│ 16│ 86│ 38│
1324 │What is GENDER: months, has there been a │ │ │ │
1325 │your time when people criticized No │ 16│ 86│ 46│
1326 │age? your drinking? │ │ │ │
1327 │ ╶───────────────────────────────────────┼───────┼───────┼────┤
1328 │ Female 27. During the last 12 Yes│ 17│ 69│ 37│
1329 │ months, has there been a │ │ │ │
1330 │ time when people criticized No │ 16│ 86│ 48│
1331 │ your drinking? │ │ │ │
1332 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
1335 ╭─────────────────────────────┬────────────────────────────────────────────────╮
1336 │ │S1. Including yourself, how many members of this│
1337 │ │ household are age 16 or older? │
1338 │ ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
1339 │ │ │ │ │ │ │ │ 6 or │
1340 │ │ None │ 1 │ 2 │ 3 │ 4 │ 5 │ more │
1341 │ ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
1342 │ │Column│Column│Column│Column│Column│Column│Column│
1343 │ │ % │ % │ % │ % │ % │ % │ % │
1344 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
1345 │Sa1. RDD 105b. Almost │ .│ 9.5%│ 8.2%│ 12.4%│ 9.9%│ 20.0%│ 23.8%│
1346 │SAMPLE How certain │ │ │ │ │ │ │ │
1347 │SOURCE: likely │ │ │ │ │ │ │ │
1348 │ is it Very │ .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
1349 │ that likely │ │ │ │ │ │ │ │
1350 │ drivers │ │ │ │ │ │ │ │
1351 │ who have │ │ │ │ │ │ │ │
1352 │ had too Somewhat│ .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
1353 │ much to likely │ │ │ │ │ │ │ │
1354 │ drink to │ │ │ │ │ │ │ │
1355 │ drive │ │ │ │ │ │ │ │
1356 │ safely Somewhat│ .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│ 9.5%│
1357 │ will A. unlikely│ │ │ │ │ │ │ │
1358 │ Get │ │ │ │ │ │ │ │
1359 │ stopped Very │ .│ 9.2%│ 9.7%│ 8.2%│ 9.4%│ 7.3%│ 9.5%│
1360 │ by the unlikely│ │ │ │ │ │ │ │
1361 │ police? │ │ │ │ │ │ │ │
1362 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
1365 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
1368 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
1369 │Age 16 to 25 20. On how many of the thirty days in this │ 5.2│ 6.0│
1370 │group typical month did you have one or more │ │ │
1371 │ alcoholic beverages to drink? │ │ │
1372 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1373 │ 26 to 35 20. On how many of the thirty days in this │ 4.7│ 5.9│
1374 │ typical month did you have one or more │ │ │
1375 │ alcoholic beverages to drink? │ │ │
1376 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1377 │ 36 to 45 20. On how many of the thirty days in this │ 5.5│ 6.8│
1378 │ typical month did you have one or more │ │ │
1379 │ alcoholic beverages to drink? │ │ │
1380 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1381 │ 46 to 55 20. On how many of the thirty days in this │ 5.8│ 7.7│
1382 │ typical month did you have one or more │ │ │
1383 │ alcoholic beverages to drink? │ │ │
1384 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1385 │ 56 to 65 20. On how many of the thirty days in this │ 6.3│ 8.2│
1386 │ typical month did you have one or more │ │ │
1387 │ alcoholic beverages to drink? │ │ │
1388 │ ╶───────────────────────────────────────────────────────┼────┼──────────┤
1389 │ 66 or 20. On how many of the thirty days in this │ 7.1│ 9.2│
1390 │ older typical month did you have one or more │ │ │
1391 │ alcoholic beverages to drink? │ │ │
1392 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
1397 AT_SETUP([CTABLES SLABELS])
1398 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1399 AT_DATA([ctables.sps],
1401 CTABLES /TABLE qn1 [COUNT COLPCT].
1402 CTABLES /TABLE qn1 [COUNT COLPCT]
1403 /SLABELS POSITION=ROW.
1404 CTABLES /TABLE qn1 [COUNT COLPCT]
1405 /SLABELS POSITION=ROW VISIBLE=NO.
1407 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1409 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
1412 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
1413 │ 1. How often do you usually drive a car or Every day │ 4667│ 66.9%│
1414 │other motor vehicle? Several days a week│ 1274│ 18.3%│
1415 │ Once a week or less│ 361│ 5.2%│
1416 │ Only certain times │ 130│ 1.9%│
1418 │ Never │ 540│ 7.7%│
1419 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
1422 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1423 │ 1. How often do you usually drive a car or Every day Count │ 4667│
1424 │other motor vehicle? Column │66.9%│
1426 │ ╶───────────────────────────┼─────┤
1427 │ Several days a week Count │ 1274│
1430 │ ╶───────────────────────────┼─────┤
1431 │ Once a week or less Count │ 361│
1434 │ ╶───────────────────────────┼─────┤
1435 │ Only certain times Count │ 130│
1436 │ a year Column │ 1.9%│
1438 │ ╶───────────────────────────┼─────┤
1439 │ Never Count │ 540│
1442 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1445 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1446 │ 1. How often do you usually drive a car or other Every day │ 4667│
1447 │motor vehicle? │66.9%│
1448 │ Several days a week │ 1274│
1450 │ Once a week or less │ 361│
1452 │ Only certain times a │ 130│
1456 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1460 AT_SETUP([CTABLES simple totals])
1461 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1462 AT_DATA([ctables.sps],
1465 /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
1466 DESCRIPTIVES qn18/STATISTICS=MEAN.
1467 CTABLES /TABLE=region > qn18 [MEAN, COUNT, VALIDN, TOTALN]
1468 /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
1470 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
1472 ╭────────────────────────────────────────────────────────────────────────┬─────╮
1474 ├────────────────────────────────────────────────────────────────────────┼─────┤
1475 │17. When you drink alcoholic beverages, which ONE of OR, something else│ 2│
1476 │the following beverages do you drink MOST OFTEN? Beer │ 1073│
1479 │ Wine coolers │ 137│
1480 │ Hard liquor or │ 888│
1482 │ Flavored malt │ 83│
1484 │ Number responding │ 4221│
1485 ╰────────────────────────────────────────────────────────────────────────┴─────╯
1487 Descriptive Statistics
1488 ╭────────────────────────────────────────────────────────────────────┬────┬────╮
1490 ├────────────────────────────────────────────────────────────────────┼────┼────┤
1491 │18. When you drink ANSWERFROM(QN17R1), about how many │4218│4.62│
1492 │ANSWERFROM(QN17R2) do you usually drink per sitting? │ │ │
1493 │Valid N (listwise) │6999│ │
1494 │Missing N (listwise) │2781│ │
1495 ╰────────────────────────────────────────────────────────────────────┴────┴────╯
1498 ╭──────────────────────────────────────────────────────┬────┬─────┬──────┬─────╮
1499 │ │ │ │ Valid│Total│
1500 │ │Mean│Count│ N │ N │
1501 ├──────────────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1502 │Region NE 18. When you drink ANSWERFROM(QN17R1),│4.36│ 1409│ 949│ 1409│
1503 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1504 │ you usually drink per sitting? │ │ │ │ │
1505 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1506 │ MW 18. When you drink ANSWERFROM(QN17R1),│4.67│ 1654│ 1027│ 1654│
1507 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1508 │ you usually drink per sitting? │ │ │ │ │
1509 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1510 │ S 18. When you drink ANSWERFROM(QN17R1),│4.71│ 2390│ 1287│ 2390│
1511 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1512 │ you usually drink per sitting? │ │ │ │ │
1513 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1514 │ W 18. When you drink ANSWERFROM(QN17R1),│4.69│ 1546│ 955│ 1546│
1515 │ about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1516 │ you usually drink per sitting? │ │ │ │ │
1517 │ ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
1518 │ All 18. When you drink ANSWERFROM(QN17R1),│4.62│ 6999│ 4218│ 6999│
1519 │ regions about how many ANSWERFROM(QN17R2) do │ │ │ │ │
1520 │ you usually drink per sitting? │ │ │ │ │
1521 ╰──────────────────────────────────────────────────────┴────┴─────┴──────┴─────╯
1525 AT_SETUP([CTABLES subtotals])
1526 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1527 AT_DATA([ctables.sps],
1529 CTABLES /TABLE=qn105ba BY qns1
1530 /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
1531 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
1532 /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
1533 CTABLES /TABLE=qn105ba BY qns1
1534 /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
1535 /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
1537 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1539 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
1540 │ │ S1. Including yourself, how many members of this household │
1541 │ │ are age 16 or older? │
1542 │ ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
1543 │ │ 1 │ 2 │ Subtotal│ 3 │ 4 │ 5 │ Subtotal │
1544 │ ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1545 │ │ Count │ Count │ Count │ Count │ Count │ Count│ Count │
1546 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1547 │105b. How likely is it that drivers who have Almost │ 147│ 246│ 393│ 62│ 19│ 11│ 92│
1548 │had too much to drink to drive safely will A. certain │ │ │ │ │ │ │ │
1549 │Get stopped by the police? Very likely│ 384│ 552│ 936│ 120│ 51│ 14│ 185│
1550 │ Somewhat │ 590│ 1249│ 1839│ 193│ 72│ 20│ 285│
1551 │ likely │ │ │ │ │ │ │ │
1552 │ Somewhat │ 278│ 647│ 925│ 84│ 32│ 6│ 122│
1553 │ unlikely │ │ │ │ │ │ │ │
1554 │ Very │ 141│ 290│ 431│ 41│ 18│ 4│ 63│
1555 │ unlikely │ │ │ │ │ │ │ │
1556 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
1559 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
1560 │ │ S1. Including yourself, how many members of this household │
1561 │ │ are age 16 or older? │
1562 │ ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
1563 │ │ │ │ │ │ │ │ 6 or │
1564 │ │ None │ 1 │ 2 │ 3 │ 4 │ 5 │ more │
1565 │ ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
1566 │ │ │ │ │ │ Column│ │ │
1567 │ │Column %│Column %│Column %│Column %│ % │Column %│Column %│
1568 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
1569 │105b. How likely is it that drivers who have Almost │ .│ 9.5%│ 8.2%│ 12.4%│ 9.9%│ 20.0%│ 23.8%│
1570 │had too much to drink to drive safely will certain │ │ │ │ │ │ │ │
1571 │A. Get stopped by the police? Very likely│ .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
1572 │ Somewhat │ .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
1573 │ likely │ │ │ │ │ │ │ │
1574 │ Subtotal │ │ 72.8%│ 68.6%│ 75.0%│ 74.0%│ 81.8%│ 81.0%│
1575 │ Somewhat │ .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│ 9.5%│
1576 │ unlikely │ │ │ │ │ │ │ │
1577 │ Very │ .│ 9.2%│ 9.7%│ 8.2%│ 9.4%│ 7.3%│ 9.5%│
1578 │ unlikely │ │ │ │ │ │ │ │
1579 │ Subtotal │ │ 27.2%│ 31.4%│ 25.0%│ 26.0%│ 18.2%│ 19.0%│
1580 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
1583 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
1584 │ │ S1. Including yourself, how many members of this household │
1585 │ │ are age 16 or older? │
1586 │ ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
1587 │ │ 1 │ 2 │ Subtotal│ 3 │ 4 │ 5 │ Subtotal │
1588 │ ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1589 │ │ Count │ Count │ Count │ Count │ Count │ Count│ Count │
1590 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
1591 │105b. How likely is it that drivers who have Almost │ 147│ 246│ 393│ 62│ 19│ 11│ 92│
1592 │had too much to drink to drive safely will A. certain │ │ │ │ │ │ │ │
1593 │Get stopped by the police? Very likely│ 384│ 552│ 936│ 120│ 51│ 14│ 185│
1594 │ Somewhat │ 590│ 1249│ 1839│ 193│ 72│ 20│ 285│
1595 │ likely │ │ │ │ │ │ │ │
1596 │ Subtotal │ 1121│ 2047│ 3168│ 375│ 142│ 45│ 562│
1597 │ Somewhat │ 278│ 647│ 925│ 84│ 32│ 6│ 122│
1598 │ unlikely │ │ │ │ │ │ │ │
1599 │ Very │ 141│ 290│ 431│ 41│ 18│ 4│ 63│
1600 │ unlikely │ │ │ │ │ │ │ │
1601 │ Subtotal │ 419│ 937│ 1356│ 125│ 50│ 10│ 185│
1602 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
1606 AT_SETUP([CTABLES PCOMPUTE])
1607 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1608 AT_DATA([ctables.sps],
1611 /PCOMPUTE &x=EXPR([3] + [4])
1612 /PCOMPUTE &y=EXPR([4] + [5])
1613 /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES FORMAT=COUNT F8.2
1614 /PPROPERTIES &y LABEL='4+5'
1615 /TABLE=qn105ba BY qns1
1616 /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
1618 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1620 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
1621 │ │ S1. Including yourself, how many members of this household │
1622 │ │ are age 16 or older? │
1623 │ ├───────┬───────┬──────────┬───────┬────────┬──────┬──────────┤
1624 │ │ 1 │ 2 │ Subtotal │ 5 │ 3+4 │ 4+5 │ Subtotal │
1625 │ ├───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
1626 │ │ Count │ Count │ Count │ Count │ Count │ Count│ Count │
1627 ├────────────────────────────────────────────────────────┼───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
1628 │105b. How likely is it that drivers who have Almost │ 147│ 246│ 393│ 11│ 81.00│ 30│ 92│
1629 │had too much to drink to drive safely will certain │ │ │ │ │ │ │ │
1630 │A. Get stopped by the police? Very likely│ 384│ 552│ 936│ 14│ 171.00│ 65│ 185│
1631 │ Somewhat │ 590│ 1249│ 1839│ 20│ 265.00│ 92│ 285│
1632 │ likely │ │ │ │ │ │ │ │
1633 │ Somewhat │ 278│ 647│ 925│ 6│ 116.00│ 38│ 122│
1634 │ unlikely │ │ │ │ │ │ │ │
1635 │ Very │ 141│ 290│ 431│ 4│ 59.00│ 22│ 63│
1636 │ unlikely │ │ │ │ │ │ │ │
1637 ╰────────────────────────────────────────────────────────┴───────┴───────┴──────────┴───────┴────────┴──────┴──────────╯
1641 AT_SETUP([CTABLES CLABELS])
1642 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
1643 AT_DATA([ctables.sps],
1645 CTABLES /TABLE AgeGroup BY qns3a.
1646 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
1647 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
1648 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=LAYER.
1649 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=LAYER.
1652 AT_CHECK([pspp ctables.sps --table-look="$builddir"/all-layers.stt -O box=unicode -O width=120], [0], [dnl
1654 ╭───────────────────────┬────────────╮
1660 ├───────────────────────┼─────┼──────┤
1661 │Age group 15 or younger│ 0│ 0│
1662 │ 16 to 25 │ 594│ 505│
1663 │ 26 to 35 │ 476│ 491│
1664 │ 36 to 45 │ 489│ 548│
1665 │ 46 to 55 │ 526│ 649│
1666 │ 56 to 65 │ 516│ 731│
1667 │ 66 or older │ 531│ 943│
1668 ╰───────────────────────┴─────┴──────╯
1671 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
1673 │ ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
1675 │ ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
1676 │ │ 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 │
1677 │ │ younger │ 25 │ 35 │ 45 │ 55 │ 65 │ older │ younger │ 25 │ 35 │ 45 │ 55 │ 65 │ older │
1678 │ ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
1679 │ │ Count │ Count │ Count│ Count│ Count│ Count │ Count │ Count │ Count│ Count │ Count│ Count│ Count│ Count │
1680 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
1681 │Age │ 0│ 594│ 476│ 489│ 526│ 516│ 531│ 0│ 505│ 491│ 548│ 649│ 731│ 943│
1682 │group │ │ │ │ │ │ │ │ │ │ │ │ │ │ │
1683 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
1686 ╭──────────────────────────────┬────────────╮
1690 ├──────────────────────────────┼────────────┤
1691 │Age group 15 or younger Male │ 0│
1693 │ ╶────────────────────┼────────────┤
1694 │ 16 to 25 Male │ 594│
1696 │ ╶────────────────────┼────────────┤
1697 │ 26 to 35 Male │ 476│
1699 │ ╶────────────────────┼────────────┤
1700 │ 36 to 45 Male │ 489│
1702 │ ╶────────────────────┼────────────┤
1703 │ 46 to 55 Male │ 526│
1705 │ ╶────────────────────┼────────────┤
1706 │ 56 to 65 Male │ 516│
1708 │ ╶────────────────────┼────────────┤
1709 │ 66 or older Male │ 531│
1711 ╰──────────────────────────────┴────────────╯
1715 ╭─────────┬────────────╮
1721 ├─────────┼─────┼──────┤
1723 ╰─────────┴─────┴──────╯
1727 ╭─────────┬────────────╮
1733 ├─────────┼─────┼──────┤
1734 │Age group│ 594│ 505│
1735 ╰─────────┴─────┴──────╯
1739 ╭─────────┬────────────╮
1745 ├─────────┼─────┼──────┤
1746 │Age group│ 476│ 491│
1747 ╰─────────┴─────┴──────╯
1751 ╭─────────┬────────────╮
1757 ├─────────┼─────┼──────┤
1758 │Age group│ 489│ 548│
1759 ╰─────────┴─────┴──────╯
1763 ╭─────────┬────────────╮
1769 ├─────────┼─────┼──────┤
1770 │Age group│ 526│ 649│
1771 ╰─────────┴─────┴──────╯
1775 ╭─────────┬────────────╮
1781 ├─────────┼─────┼──────┤
1782 │Age group│ 516│ 731│
1783 ╰─────────┴─────┴──────╯
1787 ╭─────────┬────────────╮
1793 ├─────────┼─────┼──────┤
1794 │Age group│ 531│ 943│
1795 ╰─────────┴─────┴──────╯
1799 ╭───────────────────────┬────────────╮
1803 ├───────────────────────┼────────────┤
1804 │Age group 15 or younger│ 0│
1810 │ 66 or older │ 531│
1811 ╰───────────────────────┴────────────╯
1815 ╭───────────────────────┬────────────╮
1819 ├───────────────────────┼────────────┤
1820 │Age group 15 or younger│ 0│
1826 │ 66 or older │ 943│
1827 ╰───────────────────────┴────────────╯
1831 AT_SETUP([CTABLES missing values])
1832 AT_DATA([ctables.sps],
1833 [[DATA LIST LIST NOTABLE/x y.
1872 MISSING VALUES x (1, 2) y (2, 3).
1873 VARIABLE LEVEL ALL (NOMINAL).
1875 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN,
1876 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
1877 /CATEGORIES VARIABLES=ALL TOTAL=YES.
1878 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN,
1879 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
1880 /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
1881 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
1882 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1883 /CATEGORIES VARIABLES=ALL TOTAL=YES
1884 /SLABELS POSITION=ROW.
1885 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
1886 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1887 /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE
1888 /SLABELS POSITION=ROW.
1889 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN,
1890 TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1891 /CATEGORIES VARIABLES=x [1, 2, 3, 4] TOTAL=YES
1892 /CATEGORIES VARIABLES=y [1, 3, 4, 5] TOTAL=YES
1893 /SLABELS POSITION=ROW.
1895 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1897 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1898 │ │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1899 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1900 │x 3.00 │ 6│ 33.3%│ 33.3%│ 16.7%│ │ │
1901 │ 4.00 │ 6│ 33.3%│ 33.3%│ 16.7%│ │ │
1902 │ 5.00 │ 6│ 33.3%│ 33.3%│ 16.7%│ │ │
1903 │ Total│ 18│ 100.0%│ 100.0%│ 100.0%│ 18│ 36│
1904 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1905 dnl Note that Column Total N % doesn't add up to 100 because missing
1906 dnl values are included in the total but not shown as a category and this
1907 dnl is expected behavior.
1910 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1911 │ │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1912 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1913 │x 1.00 │ 6│ 20.0%│ .0%│ 16.7%│ │ │
1914 │ 2.00 │ 6│ 20.0%│ .0%│ 16.7%│ │ │
1915 │ 3.00 │ 6│ 20.0%│ 33.3%│ 16.7%│ │ │
1916 │ 4.00 │ 6│ 20.0%│ 33.3%│ 16.7%│ │ │
1917 │ 5.00 │ 6│ 20.0%│ 33.3%│ 16.7%│ │ │
1918 │ Total│ 30│ 100.0%│ 100.0%│ 100.0%│ 18│ 36│
1919 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1920 dnl Note that Column Total N % doesn't add up to 100 because system-missing
1921 dnl values are included in the total but not shown as a category and this
1922 dnl is expected behavior.
1925 ╭────────────────────────┬───────────────────────────╮
1927 │ ├──────┬──────┬──────┬──────┤
1928 │ │ 1.00 │ 4.00 │ 5.00 │ Total│
1929 ├────────────────────────┼──────┼──────┼──────┼──────┤
1930 │x 3.00 Count │ 1│ 1│ 1│ 3│
1931 │ Column % │ 33.3%│ 33.3%│ 33.3%│ .│
1932 │ Column Valid N %│ 33.3%│ 33.3%│ 33.3%│ .│
1933 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ .│
1934 │ Row % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1935 │ Row Valid N % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1936 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│100.0%│
1937 │ Valid N │ │ │ │ 3│
1938 │ Total N │ │ │ │ 6│
1939 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1940 │ 4.00 Count │ 1│ 1│ 1│ 3│
1941 │ Column % │ 33.3%│ 33.3%│ 33.3%│ .│
1942 │ Column Valid N %│ 33.3%│ 33.3%│ 33.3%│ .│
1943 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ .│
1944 │ Row % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1945 │ Row Valid N % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1946 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│100.0%│
1947 │ Valid N │ │ │ │ 3│
1948 │ Total N │ │ │ │ 6│
1949 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1950 │ 5.00 Count │ 1│ 1│ 1│ 3│
1951 │ Column % │ 33.3%│ 33.3%│ 33.3%│ .│
1952 │ Column Valid N %│ 33.3%│ 33.3%│ 33.3%│ .│
1953 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ .│
1954 │ Row % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1955 │ Row Valid N % │ 33.3%│ 33.3%│ 33.3%│100.0%│
1956 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│100.0%│
1957 │ Valid N │ │ │ │ 3│
1958 │ Total N │ │ │ │ 6│
1959 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1960 │ Total Count │ 3│ 3│ 3│ 9│
1961 │ Column % │100.0%│100.0%│100.0%│ .│
1962 │ Column Valid N %│100.0%│100.0%│100.0%│ .│
1963 │ Column Total N %│100.0%│100.0%│100.0%│ .│
1964 │ Row % │ .│ .│ .│ .│
1965 │ Row Valid N % │ .│ .│ .│ .│
1966 │ Row Total N % │ .│ .│ .│ .│
1967 │ Valid N │ 3│ 3│ 3│ 9│
1968 │ Total N │ 6│ 6│ 6│ 36│
1969 ╰────────────────────────┴──────┴──────┴──────┴──────╯
1972 ╭────────────────────────┬─────────────────────────────────────────╮
1974 │ ├──────┬──────┬──────┬──────┬──────┬──────┤
1975 │ │ 1.00 │ 2.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1976 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1977 │x 1.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
1978 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
1979 │ Column Valid N %│ .0%│ .│ .│ .0%│ .0%│ .│
1980 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
1981 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1982 │ Row Valid N % │ .│ .│ .│ .│ .│ .│
1983 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1984 │ Valid N │ │ │ │ │ │ 0│
1985 │ Total N │ │ │ │ │ │ 6│
1986 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1987 │ 2.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
1988 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
1989 │ Column Valid N %│ .0%│ .│ .│ .0%│ .0%│ .│
1990 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
1991 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1992 │ Row Valid N % │ .│ .│ .│ .│ .│ .│
1993 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1994 │ Valid N │ │ │ │ │ │ 0│
1995 │ Total N │ │ │ │ │ │ 6│
1996 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1997 │ 3.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
1998 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
1999 │ Column Valid N %│ 33.3%│ .│ .│ 33.3%│ 33.3%│ .│
2000 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
2001 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
2002 │ Row Valid N % │ 33.3%│ .0%│ .0%│ 33.3%│ 33.3%│100.0%│
2003 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2004 │ Valid N │ │ │ │ │ │ 3│
2005 │ Total N │ │ │ │ │ │ 6│
2006 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2007 │ 4.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
2008 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2009 │ Column Valid N %│ 33.3%│ .│ .│ 33.3%│ 33.3%│ .│
2010 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
2011 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
2012 │ Row Valid N % │ 33.3%│ .0%│ .0%│ 33.3%│ 33.3%│100.0%│
2013 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2014 │ Valid N │ │ │ │ │ │ 3│
2015 │ Total N │ │ │ │ │ │ 6│
2016 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2017 │ 5.00 Count │ 1│ 1│ 1│ 1│ 1│ 5│
2018 │ Column % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2019 │ Column Valid N %│ 33.3%│ .│ .│ 33.3%│ 33.3%│ .│
2020 │ Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ .│
2021 │ Row % │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
2022 │ Row Valid N % │ 33.3%│ .0%│ .0%│ 33.3%│ 33.3%│100.0%│
2023 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2024 │ Valid N │ │ │ │ │ │ 3│
2025 │ Total N │ │ │ │ │ │ 6│
2026 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
2027 │ Total Count │ 5│ 5│ 5│ 5│ 5│ 25│
2028 │ Column % │100.0%│100.0%│100.0%│100.0%│100.0%│ .│
2029 │ Column Valid N %│100.0%│ .│ .│100.0%│100.0%│ .│
2030 │ Column Total N %│100.0%│100.0%│100.0%│100.0%│100.0%│ .│
2031 │ Row % │ .│ .│ .│ .│ .│ .│
2032 │ Row Valid N % │ .│ .│ .│ .│ .│ .│
2033 │ Row Total N % │ .│ .│ .│ .│ .│ .│
2034 │ Valid N │ 3│ 0│ 0│ 3│ 3│ 9│
2035 │ Total N │ 6│ 6│ 6│ 6│ 6│ 36│
2036 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────╯
2039 ╭────────────────────────┬──────────────────────────────────╮
2041 │ ├──────┬──────┬──────┬──────┬──────┤
2042 │ │ 1.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
2043 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┤
2044 │x 1.00 Count │ 1│ 1│ 1│ 1│ 4│
2045 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2046 │ Column Valid N %│ .0%│ .│ .0%│ .0%│ .│
2047 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2048 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2049 │ Row Valid N % │ .│ .│ .│ .│ .│
2050 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2051 │ Valid N │ │ │ │ │ 0│
2052 │ Total N │ │ │ │ │ 6│
2053 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2054 │ 2.00 Count │ 1│ 1│ 1│ 1│ 4│
2055 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2056 │ Column Valid N %│ .0%│ .│ .0%│ .0%│ .│
2057 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2058 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2059 │ Row Valid N % │ .│ .│ .│ .│ .│
2060 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2061 │ Valid N │ │ │ │ │ 0│
2062 │ Total N │ │ │ │ │ 6│
2063 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2064 │ 3.00 Count │ 1│ 1│ 1│ 1│ 4│
2065 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2066 │ Column Valid N %│ 50.0%│ .│ 50.0%│ 50.0%│ .│
2067 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2068 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2069 │ Row Valid N % │ 33.3%│ .0%│ 33.3%│ 33.3%│100.0%│
2070 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2071 │ Valid N │ │ │ │ │ 3│
2072 │ Total N │ │ │ │ │ 6│
2073 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2074 │ 4.00 Count │ 1│ 1│ 1│ 1│ 4│
2075 │ Column % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│ .│
2076 │ Column Valid N %│ 50.0%│ .│ 50.0%│ 50.0%│ .│
2077 │ Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│ .│
2078 │ Row % │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
2079 │ Row Valid N % │ 33.3%│ .0%│ 33.3%│ 33.3%│100.0%│
2080 │ Row Total N % │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
2081 │ Valid N │ │ │ │ │ 3│
2082 │ Total N │ │ │ │ │ 6│
2083 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
2084 │ Total Count │ 4│ 4│ 4│ 4│ 16│
2085 │ Column % │100.0%│100.0%│100.0%│100.0%│ .│
2086 │ Column Valid N %│100.0%│ .│100.0%│100.0%│ .│
2087 │ Column Total N %│100.0%│100.0%│100.0%│100.0%│ .│
2088 │ Row % │ .│ .│ .│ .│ .│
2089 │ Row Valid N % │ .│ .│ .│ .│ .│
2090 │ Row Total N % │ .│ .│ .│ .│ .│
2091 │ Valid N │ 2│ 0│ 2│ 2│ 6│
2092 │ Total N │ 5│ 5│ 5│ 5│ 30│
2093 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────╯
2097 AT_SETUP([CTABLES SMISSING=LISTWISE])
2098 AT_KEYWORDS([SMISSING LISTWISE])
2099 AT_DATA([ctables.sps],
2100 [[DATA LIST LIST NOTABLE/x y z.
2108 VARIABLE LEVEL x (NOMINAL).
2110 CTABLES /TABLE (y + z) > x.
2111 CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
2113 * The following doesn't come out as listwise because the tables are
2114 separate, not linked by an > operator.
2115 CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
2117 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
2147 AT_SETUP([CTABLES VLABELS])
2148 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2149 AT_DATA([ctables.sps],
2151 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=DEFAULT /TABLE qnd5a BY qns3a.
2152 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NAME /TABLE qnd5a BY qns3a.
2153 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=LABEL /TABLE qnd5a BY qns3a.
2154 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=BOTH /TABLE qnd5a BY qns3a.
2155 CTABLES /VLABELS VARIABLES=qns3a qnd5a DISPLAY=NONE /TABLE qnd5a BY qns3a.
2157 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2159 ╭────────────────────────────────────────────────────────────────┬────────────╮
2165 ├────────────────────────────────────────────────────────────────┼─────┼──────┤
2166 │D5a. What would you say is your primary Cuban │ 13│ 7│
2167 │ethnic background? Mexican │ 175│ 136│
2169 │ South American │ 21│ 13│
2170 │ Central American │ 27│ 25│
2171 │ Puerto Rican, OR │ 37│ 41│
2172 │ Something else │ 35│ 33│
2173 │ Multiple - cannot │ 2│ 5│
2175 ╰────────────────────────────────────────────────────────────────┴─────┴──────╯
2178 ╭──────────────────────────────────┬────────────╮
2184 ├──────────────────────────────────┼─────┼──────┤
2185 │QND5A Cuban │ 13│ 7│
2186 │ Mexican │ 175│ 136│
2188 │ South American │ 21│ 13│
2189 │ Central American │ 27│ 25│
2190 │ Puerto Rican, OR │ 37│ 41│
2191 │ Something else │ 35│ 33│
2192 │ Multiple - cannot choose one│ 2│ 5│
2193 ╰──────────────────────────────────┴─────┴──────╯
2196 ╭────────────────────────────────────────────────────────────────┬────────────╮
2202 ├────────────────────────────────────────────────────────────────┼─────┼──────┤
2203 │D5a. What would you say is your primary Cuban │ 13│ 7│
2204 │ethnic background? Mexican │ 175│ 136│
2206 │ South American │ 21│ 13│
2207 │ Central American │ 27│ 25│
2208 │ Puerto Rican, OR │ 37│ 41│
2209 │ Something else │ 35│ 33│
2210 │ Multiple - cannot │ 2│ 5│
2212 ╰────────────────────────────────────────────────────────────────┴─────┴──────╯
2215 ╭────────────────────────────────────────────────────────────┬────────────────╮
2218 │ ├───────┬────────┤
2220 │ ├───────┼────────┤
2222 ├────────────────────────────────────────────────────────────┼───────┼────────┤
2223 │QND5A D5a. What would you say is your Cuban │ 13│ 7│
2224 │primary ethnic background? Mexican │ 175│ 136│
2226 │ South American │ 21│ 13│
2227 │ Central American │ 27│ 25│
2228 │ Puerto Rican, OR │ 37│ 41│
2229 │ Something else │ 35│ 33│
2230 │ Multiple - cannot │ 2│ 5│
2232 ╰────────────────────────────────────────────────────────────┴───────┴────────╯
2235 ╭────────────────────────────┬─────┬──────╮
2239 ├────────────────────────────┼─────┼──────┤
2241 │Mexican │ 175│ 136│
2243 │South American │ 21│ 13│
2244 │Central American │ 27│ 25│
2245 │Puerto Rican, OR │ 37│ 41│
2246 │Something else │ 35│ 33│
2247 │Multiple - cannot choose one│ 2│ 5│
2248 ╰────────────────────────────┴─────┴──────╯
2252 AT_SETUP([CTABLES FORMAT EMPTY])
2253 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2254 AT_DATA([ctables.sps],
2256 CTABLES /FORMAT EMPTY=ZERO /TABLE qnd5a BY qnd5.
2257 CTABLES /FORMAT EMPTY=BLANK /TABLE qnd5a BY qnd5.
2258 CTABLES /FORMAT EMPTY='n/a' /TABLE qnd5a BY qnd5.
2260 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2262 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2263 │ │ D5. ETHNICITY: Are you of │
2264 │ │ Hispanic or Latino origin or │
2266 │ ├───────────────┬───────────────┤
2268 │ ├───────────────┼───────────────┤
2270 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2271 │D5a. What would you say is Cuban │ 20│ 0│
2272 │your primary ethnic Mexican │ 311│ 0│
2273 │background? Spanish │ 48│ 0│
2274 │ South American │ 34│ 0│
2275 │ Central American│ 52│ 0│
2276 │ Puerto Rican, OR│ 78│ 0│
2277 │ Something else │ 68│ 0│
2278 │ Multiple - │ 7│ 0│
2279 │ cannot choose │ │ │
2281 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2284 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2285 │ │ D5. ETHNICITY: Are you of │
2286 │ │ Hispanic or Latino origin or │
2288 │ ├───────────────┬───────────────┤
2290 │ ├───────────────┼───────────────┤
2292 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2293 │D5a. What would you say is Cuban │ 20│ │
2294 │your primary ethnic Mexican │ 311│ │
2295 │background? Spanish │ 48│ │
2296 │ South American │ 34│ │
2297 │ Central American│ 52│ │
2298 │ Puerto Rican, OR│ 78│ │
2299 │ Something else │ 68│ │
2301 │ cannot choose │ │ │
2303 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2306 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2307 │ │ D5. ETHNICITY: Are you of │
2308 │ │ Hispanic or Latino origin or │
2310 │ ├───────────────┬───────────────┤
2312 │ ├───────────────┼───────────────┤
2314 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2315 │D5a. What would you say is Cuban │ 20│n/a │
2316 │your primary ethnic Mexican │ 311│n/a │
2317 │background? Spanish │ 48│n/a │
2318 │ South American │ 34│n/a │
2319 │ Central American│ 52│n/a │
2320 │ Puerto Rican, OR│ 78│n/a │
2321 │ Something else │ 68│n/a │
2322 │ Multiple - │ 7│n/a │
2323 │ cannot choose │ │ │
2325 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2329 AT_SETUP([CTABLES FORMAT MISSING])
2330 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2331 AT_DATA([ctables.sps],
2333 CTABLES /FORMAT MISSING='(no data)' /TABLE qnd5a[COLPCT] BY qnd5.
2335 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2337 ╭─────────────────────────────────────────────┬───────────────────────────────╮
2338 │ │ D5. ETHNICITY: Are you of │
2339 │ │ Hispanic or Latino origin or │
2341 │ ├───────────────┬───────────────┤
2343 │ ├───────────────┼───────────────┤
2344 │ │ Column % │ Column % │
2345 ├─────────────────────────────────────────────┼───────────────┼───────────────┤
2346 │D5a. What would you say is Cuban │ 3.2%│(no data) │
2347 │your primary ethnic Mexican │ 50.3%│(no data) │
2348 │background? Spanish │ 7.8%│(no data) │
2349 │ South American │ 5.5%│(no data) │
2350 │ Central American│ 8.4%│(no data) │
2351 │ Puerto Rican, OR│ 12.6%│(no data) │
2352 │ Something else │ 11.0%│(no data) │
2353 │ Multiple - │ 1.1%│(no data) │
2354 │ cannot choose │ │ │
2356 ╰─────────────────────────────────────────────┴───────────────┴───────────────╯
2360 AT_SETUP([CTABLES HIDESMALLCOUNTS])
2361 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2362 AT_DATA([ctables.sps],
2364 CTABLES /TABLE qn38[c][COUNT, COLPCT].
2365 CTABLES /HIDESMALLCOUNTS /TABLE qn38[c][COUNT, COLPCT].
2366 CTABLES /HIDESMALLCOUNTS COUNT=10 /TABLE qn38[c][COUNT, COLPCT].
2368 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2370 ╭──────────────────────────────────────────────────────────────┬─────┬────────╮
2372 ├──────────────────────────────────────────────────────────────┼─────┼────────┤
2373 │38. How many drinks did you have on that Less than one│ 7│ .5%│
2374 │occasion? 1 │ 491│ 34.9%│
2394 ╰──────────────────────────────────────────────────────────────┴─────┴────────╯
2397 ╭──────────────────────────────────────────────────────────────┬─────┬────────╮
2399 ├──────────────────────────────────────────────────────────────┼─────┼────────┤
2400 │38. How many drinks did you have on that Less than one│ 7│ .5%│
2401 │occasion? 1 │ 491│ 34.9%│
2421 ╰──────────────────────────────────────────────────────────────┴─────┴────────╯
2424 ╭──────────────────────────────────────────────────────────────┬─────┬────────╮
2426 ├──────────────────────────────────────────────────────────────┼─────┼────────┤
2427 │38. How many drinks did you have on that Less than one│<10 │ .5%│
2428 │occasion? 1 │ 491│ 34.9%│
2448 ╰──────────────────────────────────────────────────────────────┴─────┴────────╯
2452 AT_SETUP([CTABLES FORMAT MINCOLWIDTH MAXCOLWIDTH])
2453 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2454 AT_DATA([ctables.sps],
2456 CTABLES /FORMAT MINCOLWIDTH=1 MAXCOLWIDTH=2 UNITS=INCHES /TABLE BY qns3a.
2458 AT_CHECK([pspp ctables.sps -o - -O box=unicode -o pspp.spv], [0], [dnl
2470 AT_CHECK([pspp-output get-table-look pspp.spv pspp.stt])
2471 AT_CHECK([sed 's/ /\n/g' pspp.stt | grep ColumnWidth | sort], [0], [dnl
2472 maximumColumnWidth="192"
2473 minimumColumnWidth="96"
2477 AT_SETUP([CTABLES special formats])
2478 AT_KEYWORDS([NEGPAREN NEQUAL PAREN PCTPAREN])
2479 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2480 AT_DATA([ctables.sps],
2482 COMPUTE x = qnd3 - 4.
2483 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].
2485 AT_CHECK([pspp ctables.sps -O box=unicode], [0], [dnl
2487 ╭─┬───────┬───────┬───────┬───────┬───────┬───────┬───────┬───────╮
2488 │ │Minimum│Minimum│Minimum│Minimum│Maximum│Maximum│Maximum│Maximum│
2489 ├─┼───────┼───────┼───────┼───────┼───────┼───────┼───────┼───────┤
2490 │x│(3.0) │N=-3.0 │(-3.0) │(-3.0%)│8.0 │N=8.0 │(8.0) │(8.0%) │
2491 ╰─┴───────┴───────┴───────┴───────┴───────┴───────┴───────┴───────╯
2495 AT_SETUP([CTABLES TITLES])
2496 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
2497 AT_DATA([ctables.sps],
2500 /VLABELS VARIABLES=qn1 DISPLAY=NONE
2501 /TABLE ((qn1[c][COUNT])) BY qns3a[c] > qnd5
2502 /TITLES TITLE='How often do you drive?'
2503 CAPTION='Generated )TIME on )DATE'
2506 AT_CHECK([pspp ctables.sps -O box=unicode | sed 's/..:..:../HH:MM:SS/
2507 s&../../..&MM/DD/YY&'], [0], [dnl
2508 How often do you drive?
2509 ╭───────────────────────────────────┬─────────────────────────────────────────╮
2511 │ ├────────────────────┬────────────────────┤
2513 │ ├────────────────────┼────────────────────┤
2514 │ │ D5. ETHNICITY: Are │ D5. ETHNICITY: Are │
2515 │ │ you of Hispanic or │ you of Hispanic or │
2516 │ │ Latino origin or │ Latino origin or │
2517 │( ( 1. How often do you usually │ descent? │ descent? │
2518 │drive a car or other motor ├─────────┬──────────┼─────────┬──────────┤
2519 │vehicle?) ) BY S3a. GENDER: > D5. │ Yes │ No │ Yes │ No │
2520 │ETHNICITY: Are you of Hispanic or ├─────────┼──────────┼─────────┼──────────┤
2521 │Latino origin or descent? │ Count │ Count │ Count │ Count │
2522 ├───────────────────────────────────┼─────────┼──────────┼─────────┼──────────┤
2523 │Every day │ 218│ 2066│ 166│ 2175│
2524 │Several days a week │ 44│ 391│ 45│ 782│
2525 │Once a week or less │ 16│ 109│ 12│ 223│
2526 │Only certain times a year │ 15│ 41│ 11│ 61│
2527 │Never │ 39│ 150│ 56│ 278│
2528 ╰───────────────────────────────────┴─────────┴──────────┴─────────┴──────────╯
2529 Generated HH:MM:SS on MM/DD/YY