pintos-os.org Git - pspp/blob - tests/language/stats/ctables.at

   1 AT_BANNER([CTABLES])
   2
   3 dnl Features not yet tested:
   4 dnl - Preprocessing to distinguish categorical from scale.
   5 dnl - Parsing (positive and negative)
   6 dnl - String variables and values
   7 dnl - Testing details of missing value handling in summaries.
   8 dnl - test CLABELS ROWLABELS=LAYER.
   9 dnl - Test VLABELS.
  10 dnl - Test WEIGHT and adjustment weights.
  11 dnl - EMPTY=INCLUDE For string ranges.
  12 dnl - Summary functions:
  13 dnl   * Separate summary functions for totals and subtotals.
  14 dnl   * )CILEVEL in summary label specification
  15 dnl Category sorting:
  16 dnl   * VALUE
  17 dnl   * LABEL
  18 dnl   * ascending/descending
  19 dnl - CATEGORIES:
  20 dnl   * String values
  21 dnl   * Date values
  22 dnl   * THRU (numeric ranges)
  23 dnl   * THRU (string ranges)
  24 dnl   * OTHERNM
  25 dnl - FORMAT:
  26 dnl   * MINCOLWIDTH, MAXCOLWIDTH, UNITS.
  27 dnl   * EMPTY.
  28 dnl   * MISSING.
  29 dnl - HIDESMALLCOUNTS.
  30 dnl - Date/time variables and values
  31 dnl - Special formats for summary functions: NEGPAREN, NEQUAL, PAREN, PCTPAREN.
  32 dnl - TITLES: )DATE, )TIME, )TABLE.
  33 dnl - Test PCOMPUTE:
  34 dnl   * PCOMPUTE for more than one kind of summary (e.g. [COUNT, ROWPCT]).
  35 dnl   * MISSING, OTHERNM
  36 dnl   * strings and string ranges
  37 dnl   * multi-dimensional (multiple CCT_POSTCOMPUTE in one cell)
  38 dnl   * dates
  39 dnl - PPROPERTIES:
  40 dnl   * )LABEL[N].
  41 dnl - Summary functions:
  42 dnl   * U-prefix for unweighted summaries.
  43 dnl   * areaPCT.SUM and UareaPCT.SUM functions.
  44 dnl - SPLIT FILE with SEPARATE splits
  45 dnl - Definition of columns/rows when labels are rotated from one axis to another.
  46 dnl
  47 dnl Not for v1:
  48 dnl - Multiple response sets
  49 dnl - MRSETS subcommand.
  50 dnl - CATEGORIES: Special case for explicit category specifications and multiple dichotomy sets.
  51 dnl - SIGTEST
  52 dnl - COMPARETEST
  53 dnl - Summary functions:
  54 dnl   * .LCL and .UCL suffixes.
  55 dnl   * .SE suffixes.
  56 dnl - CATEGORIES:
  57 dnl   * Data-dependent sorting.
  58 dnl
  59 dnl
  60 dnl Bug:
  61 dnl     CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
  62 dnl produces a bad median:
  63 dnl                     Custom Tables
  64 dnl +--------------------------+-----------------------+
  65 dnl |                          |      S3a. GENDER:     |
  66 dnl |                          +-----------+-----------+
  67 dnl |                          |    Male   |   Female  |
  68 dnl |                          +----+------+----+------+
  69 dnl |                          |Mean|Median|Mean|Median|
  70 dnl +--------------------------+----+------+----+------+
  71 dnl |D1. AGE: What is your age?|  46|   999|  50|   999|
  72 dnl +--------------------------+----+------+----+------+
  73
  74
  75
  76 AT_SETUP([CTABLES parsing])
  77 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  78 AT_DATA([ctables.sps],
  79 [[GET 'nhtsa.sav'.
  80 CTABLES
  81     /FORMAT MINCOLWIDTH=10 MAXCOLWIDTH=20 UNITS=POINTS EMPTY=ZERO MISSING="x"
  82     /FORMAT MINCOLWIDTH=DEFAULT MAXCOLWIDTH=DEFAULT UNITS=INCHES EMPTY=BLANK MISSING="."
  83     /FORMAT UNITS=CM EMPTY="(-)"
  84     /VLABELS VARIABLES=qn1 DISPLAY=DEFAULT
  85     /VLABELS VARIABLES=qn17 DISPLAY=NAME
  86     /VLABELS VARIABLES=qns3a DISPLAY=LABEL
  87     /VLABELS VARIABLES=qnd1 DISPLAY=BOTH
  88     /VLABELS VARIABLES=qn20 DISPLAY=NONE
  89     /MRSETS COUNTDUPLICATES=NO
  90     /MRSETS COUNTDUPLICATES=YES
  91     /SMISSING VARIABLE
  92     /SMISSING LISTWISE
  93     /WEIGHT VARIABLE=qns3a
  94     /HIDESMALLCOUNTS
  95     /HIDESMALLCOUNTS COUNT=10
  96     /TABLE qnd1
  97     /SLABELS POSITION=COLUMN VISIBLE=YES
  98     /SLABELS VISIBLE=NO POSITION=ROW
  99     /SLABELS POSITION=LAYER
 100     /CLABELS AUTO
 101     /CLABELS ROWLABELS=OPPOSITE
 102     /CLABELS ROWLABELS=LAYER
 103     /CLABELS COLLABELS=OPPOSITE
 104     /CLABELS COLLABELS=LAYER
 105     /CRITERIA CILEVEL=50
 106     /CATEGORIES VARIABLES=qn1 qn17
 107                 ORDER=A KEY=VALUE MISSING=INCLUDE TOTAL=YES LABEL="xyzzy"
 108                 POSITION=BEFORE EMPTY=INCLUDE.
 109 ]])
 110 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 111             Custom Tables
 112 Mean
 113 ╭───────────────────────────────┬──╮
 114 │qnd1 D1. AGE: What is your age?│49│
 115 ╰───────────────────────────────┴──╯
 116 ])
 117 AT_CLEANUP
 118
 119 AT_SETUP([CTABLES one categorical variable])
 120 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 121 AT_DATA([ctables.sps],
 122 [[GET 'nhtsa.sav'.
 123 CTABLES /TABLE qn1.
 124 CTABLES /TABLE BY qn1.
 125 CTABLES /TABLE BY BY qn1.
 126 ]])
 127 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 128                                   Custom Tables
 129 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 130 │                                                                        │Count│
 131 ├────────────────────────────────────────────────────────────────────────┼─────┤
 132 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 133 │motor vehicle?                                     Several days a week  │ 1274│
 134 │                                                   Once a week or less  │  361│
 135 │                                                   Only certain times a │  130│
 136 │                                                   year                 │     │
 137 │                                                   Never                │  540│
 138 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 139
 140                                   Custom Tables
 141 ╭──────────────────────────────────────────────────────────────────────────────╮
 142 │        1. How often do you usually drive a car or other motor vehicle?       │
 143 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
 144 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
 145 │Every day│       week       │       less       │          year          │Never│
 146 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 147 │  Count  │       Count      │       Count      │          Count         │Count│
 148 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 149 │     4667│              1274│               361│                     130│  540│
 150 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
 151
 152 Custom Tables
 153 Every day
 154 ╭─────╮
 155 │Count│
 156 ├─────┤
 157 │ 4667│
 158 ╰─────╯
 159 ])
 160 AT_CLEANUP
 161
 162 AT_SETUP([CTABLES one scale variable])
 163 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 164 AT_DATA([ctables.sps],
 165 [[GET 'nhtsa.sav'.
 166 CTABLES /TABLE qnd1[COUNT, VALIDN, TOTALN, MEAN, STDDEV, MINIMUM, MAXIMUM].
 167 CTABLES /TABLE BY qnd1.
 168 CTABLES /TABLE BY BY qnd1.
 169 ]])
 170 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 171                                   Custom Tables
 172 ╭──────────────────────┬─────┬───────┬───────┬────┬────────────┬───────┬───────╮
 173 │                      │     │       │       │    │     Std    │       │       │
 174 │                      │Count│Valid N│Total N│Mean│  Deviation │Minimum│Maximum│
 175 ├──────────────────────┼─────┼───────┼───────┼────┼────────────┼───────┼───────┤
 176 │D1. AGE: What is your │ 6999│   6930│   6999│  48│          19│     16│     86│
 177 │age?                  │     │       │       │    │            │       │       │
 178 ╰──────────────────────┴─────┴───────┴───────┴────┴────────────┴───────┴───────╯
 179
 180         Custom Tables
 181 ╭──────────────────────────╮
 182 │D1. AGE: What is your age?│
 183 ├──────────────────────────┤
 184 │           Mean           │
 185 ├──────────────────────────┤
 186 │                        48│
 187 ╰──────────────────────────╯
 188
 189 Custom Tables
 190 D1. AGE: What is your age?
 191 ╭────╮
 192 │Mean│
 193 ├────┤
 194 │  48│
 195 ╰────╯
 196 ])
 197 AT_CLEANUP
 198
 199 AT_SETUP([CTABLES simple stacking])
 200 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 201 AT_DATA([ctables.sps],
 202 [[GET 'nhtsa.sav'.
 203 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 204 ]])
 205 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 206                                   Custom Tables
 207 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 208 │                                                               │ S3a. GENDER: │
 209 │                                                               ├──────┬───────┤
 210 │                                                               │ Male │ Female│
 211 │                                                               ├──────┼───────┤
 212 │                                                               │Column│ Column│
 213 │                                                               │   %  │   %   │
 214 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 215 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 216 │too much to drink to drive safely will A. Get      certain     │      │       │
 217 │stopped by the police?                             Very likely │   21%│    22%│
 218 │                                                   Somewhat    │   38%│    42%│
 219 │                                                   likely      │      │       │
 220 │                                                   Somewhat    │   21%│    18%│
 221 │                                                   unlikely    │      │       │
 222 │                                                   Very        │   10%│     8%│
 223 │                                                   unlikely    │      │       │
 224 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 225 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 226 │too much to drink to drive safely will B. Have an  certain     │      │       │
 227 │accident?                                          Very likely │   36%│    45%│
 228 │                                                   Somewhat    │   39%│    32%│
 229 │                                                   likely      │      │       │
 230 │                                                   Somewhat    │    9%│     4%│
 231 │                                                   unlikely    │      │       │
 232 │                                                   Very        │    3%│     2%│
 233 │                                                   unlikely    │      │       │
 234 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 235 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 236 │too much to drink to drive safely will C. Be       certain     │      │       │
 237 │convicted for drunk driving?                       Very likely │   32%│    28%│
 238 │                                                   Somewhat    │   27%│    32%│
 239 │                                                   likely      │      │       │
 240 │                                                   Somewhat    │   15%│    15%│
 241 │                                                   unlikely    │      │       │
 242 │                                                   Very        │    9%│     9%│
 243 │                                                   unlikely    │      │       │
 244 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 245 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 246 │too much to drink to drive safely will D. Be       certain     │      │       │
 247 │arrested for drunk driving?                        Very likely │   26%│    27%│
 248 │                                                   Somewhat    │   32%│    35%│
 249 │                                                   likely      │      │       │
 250 │                                                   Somewhat    │   17%│    15%│
 251 │                                                   unlikely    │      │       │
 252 │                                                   Very        │    9%│     7%│
 253 │                                                   unlikely    │      │       │
 254 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 255 ])
 256 AT_CLEANUP
 257
 258 AT_SETUP([CTABLES show or hide empty categories])
 259 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 260 AT_DATA([ctables.sps],
 261 [[GET 'nhtsa.sav'.
 262 IF (qn105ba = 2) qn105ba = 1.
 263 IF (qns3a = 1) qns3a = 2.
 264 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 265 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 266     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 267 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 268     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 269 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 270     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 271 ]])
 272 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 273                                   Custom Tables
 274 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 275 │                                                              │  S3a. GENDER: │
 276 │                                                              ├───────┬───────┤
 277 │                                                              │  Male │ Female│
 278 │                                                              ├───────┼───────┤
 279 │                                                              │ Column│ Column│
 280 │                                                              │   %   │   %   │
 281 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 282 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 283 │too much to drink to drive safely will A. Get      certain    │       │       │
 284 │stopped by the police?                             Very likely│      .│     0%│
 285 │                                                   Somewhat   │      .│    40%│
 286 │                                                   likely     │       │       │
 287 │                                                   Somewhat   │      .│    19%│
 288 │                                                   unlikely   │       │       │
 289 │                                                   Very       │      .│     9%│
 290 │                                                   unlikely   │       │       │
 291 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 292
 293                                   Custom Tables
 294 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 295 │                                                              │  S3a. GENDER: │
 296 │                                                              ├───────┬───────┤
 297 │                                                              │  Male │ Female│
 298 │                                                              ├───────┼───────┤
 299 │                                                              │ Column│ Column│
 300 │                                                              │   %   │   %   │
 301 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 302 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 303 │too much to drink to drive safely will A. Get      certain    │       │       │
 304 │stopped by the police?                             Somewhat   │      .│    40%│
 305 │                                                   likely     │       │       │
 306 │                                                   Somewhat   │      .│    19%│
 307 │                                                   unlikely   │       │       │
 308 │                                                   Very       │      .│     9%│
 309 │                                                   unlikely   │       │       │
 310 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 311
 312                                   Custom Tables
 313 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 314 │                                                                    │   S3a.  │
 315 │                                                                    │ GENDER: │
 316 │                                                                    ├─────────┤
 317 │                                                                    │  Female │
 318 │                                                                    ├─────────┤
 319 │                                                                    │ Column %│
 320 ├────────────────────────────────────────────────────────────────────┼─────────┤
 321 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 322 │much to drink to drive safely will A. Get stopped by    certain     │         │
 323 │the police?                                             Very likely │       0%│
 324 │                                                        Somewhat    │      40%│
 325 │                                                        likely      │         │
 326 │                                                        Somewhat    │      19%│
 327 │                                                        unlikely    │         │
 328 │                                                        Very        │       9%│
 329 │                                                        unlikely    │         │
 330 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 331
 332                                   Custom Tables
 333 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 334 │                                                                    │   S3a.  │
 335 │                                                                    │ GENDER: │
 336 │                                                                    ├─────────┤
 337 │                                                                    │  Female │
 338 │                                                                    ├─────────┤
 339 │                                                                    │ Column %│
 340 ├────────────────────────────────────────────────────────────────────┼─────────┤
 341 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 342 │much to drink to drive safely will A. Get stopped by    certain     │         │
 343 │the police?                                             Somewhat    │      40%│
 344 │                                                        likely      │         │
 345 │                                                        Somewhat    │      19%│
 346 │                                                        unlikely    │         │
 347 │                                                        Very        │       9%│
 348 │                                                        unlikely    │         │
 349 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 350 ])
 351 AT_CLEANUP
 352
 353 AT_SETUP([CTABLES simple nesting])
 354 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 355 AT_DATA([ctables.sps],
 356 [[GET 'nhtsa.sav'.
 357 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 358   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 359 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 360   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 361   /CLABELS ROW=OPPOSITE.
 362 ]])
 363 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 364                                   Custom Tables
 365 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 366 │                                                                 │     │ Table│
 367 │                                                                 │Count│   %  │
 368 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 369 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 370 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 371 │drive safely will A. Get stopped by                        Total │  700│   10%│
 372 │the police?                           ╶──────────────────────────┼─────┼──────┤
 373 │                                       Very       S3a.     Male  │  660│   10%│
 374 │                                       likely     GENDER:  Female│  842│   12%│
 375 │                                                           Total │ 1502│   22%│
 376 │                                      ╶──────────────────────────┼─────┼──────┤
 377 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 378 │                                       likely     GENDER:  Female│ 1589│   23%│
 379 │                                                           Total │ 2763│   40%│
 380 │                                      ╶──────────────────────────┼─────┼──────┤
 381 │                                       Somewhat   S3a.     Male  │  640│    9%│
 382 │                                       unlikely   GENDER:  Female│  667│   10%│
 383 │                                                           Total │ 1307│   19%│
 384 │                                      ╶──────────────────────────┼─────┼──────┤
 385 │                                       Very       S3a.     Male  │  311│    5%│
 386 │                                       unlikely   GENDER:  Female│  298│    4%│
 387 │                                                           Total │  609│    9%│
 388 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 389 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 390 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 391 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 392 │                                      ╶──────────────────────────┼─────┼──────┤
 393 │                                       Very       S3a.     Male  │ 1104│   16%│
 394 │                                       likely     GENDER:  Female│ 1715│   25%│
 395 │                                                           Total │ 2819│   41%│
 396 │                                      ╶──────────────────────────┼─────┼──────┤
 397 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 398 │                                       likely     GENDER:  Female│ 1214│   18%│
 399 │                                                           Total │ 2417│   35%│
 400 │                                      ╶──────────────────────────┼─────┼──────┤
 401 │                                       Somewhat   S3a.     Male  │  262│    4%│
 402 │                                       unlikely   GENDER:  Female│  168│    2%│
 403 │                                                           Total │  430│    6%│
 404 │                                      ╶──────────────────────────┼─────┼──────┤
 405 │                                       Very       S3a.     Male  │   81│    1%│
 406 │                                       unlikely   GENDER:  Female│   59│    1%│
 407 │                                                           Total │  140│    2%│
 408 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 409 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 410 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 411 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 412 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 413 │                                       Very       S3a.     Male  │  988│   14%│
 414 │                                       likely     GENDER:  Female│ 1049│   15%│
 415 │                                                           Total │ 2037│   30%│
 416 │                                      ╶──────────────────────────┼─────┼──────┤
 417 │                                       Somewhat   S3a.     Male  │  822│   12%│
 418 │                                       likely     GENDER:  Female│ 1210│   18%│
 419 │                                                           Total │ 2032│   30%│
 420 │                                      ╶──────────────────────────┼─────┼──────┤
 421 │                                       Somewhat   S3a.     Male  │  446│    7%│
 422 │                                       unlikely   GENDER:  Female│  548│    8%│
 423 │                                                           Total │  994│   15%│
 424 │                                      ╶──────────────────────────┼─────┼──────┤
 425 │                                       Very       S3a.     Male  │  268│    4%│
 426 │                                       unlikely   GENDER:  Female│  354│    5%│
 427 │                                                           Total │  622│    9%│
 428 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 429 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 430 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 431 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 432 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 433 │                                       Very       S3a.     Male  │  805│   12%│
 434 │                                       likely     GENDER:  Female│ 1029│   15%│
 435 │                                                           Total │ 1834│   27%│
 436 │                                      ╶──────────────────────────┼─────┼──────┤
 437 │                                       Somewhat   S3a.     Male  │  975│   14%│
 438 │                                       likely     GENDER:  Female│ 1332│   19%│
 439 │                                                           Total │ 2307│   34%│
 440 │                                      ╶──────────────────────────┼─────┼──────┤
 441 │                                       Somewhat   S3a.     Male  │  535│    8%│
 442 │                                       unlikely   GENDER:  Female│  560│    8%│
 443 │                                                           Total │ 1095│   16%│
 444 │                                      ╶──────────────────────────┼─────┼──────┤
 445 │                                       Very       S3a.     Male  │  270│    4%│
 446 │                                       unlikely   GENDER:  Female│  279│    4%│
 447 │                                                           Total │  549│    8%│
 448 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 449
 450                                   Custom Tables
 451 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 452 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 453 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 454 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 455 │                                 │        │ Table│         │         │        │
 456 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 457 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 458 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 459 │GENDER:        is it that drivers│        │      │         │         │        │
 460 │               who have had too  │        │      │         │         │        │
 461 │               much to drink to  │        │      │         │         │        │
 462 │               drive safely will │        │      │         │         │        │
 463 │               A. Get stopped by │        │      │         │         │        │
 464 │               the police?       │        │      │         │         │        │
 465 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 466 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 467 │               is it that drivers│        │      │         │         │        │
 468 │               who have had too  │        │      │         │         │        │
 469 │               much to drink to  │        │      │         │         │        │
 470 │               drive safely will │        │      │         │         │        │
 471 │               A. Get stopped by │        │      │         │         │        │
 472 │               the police?       │        │      │         │         │        │
 473 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 474 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 475 │               is it that drivers│        │      │         │         │        │
 476 │               who have had too  │        │      │         │         │        │
 477 │               much to drink to  │        │      │         │         │        │
 478 │               drive safely will │        │      │         │         │        │
 479 │               A. Get stopped by │        │      │         │         │        │
 480 │               the police?       │        │      │         │         │        │
 481 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 482 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 483 │GENDER:        is it that drivers│        │      │         │         │        │
 484 │               who have had too  │        │      │         │         │        │
 485 │               much to drink to  │        │      │         │         │        │
 486 │               drive safely will │        │      │         │         │        │
 487 │               B. Have an        │        │      │         │         │        │
 488 │               accident?         │        │      │         │         │        │
 489 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 490 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 491 │               is it that drivers│        │      │         │         │        │
 492 │               who have had too  │        │      │         │         │        │
 493 │               much to drink to  │        │      │         │         │        │
 494 │               drive safely will │        │      │         │         │        │
 495 │               B. Have an        │        │      │         │         │        │
 496 │               accident?         │        │      │         │         │        │
 497 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 498 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 499 │               is it that drivers│        │      │         │         │        │
 500 │               who have had too  │        │      │         │         │        │
 501 │               much to drink to  │        │      │         │         │        │
 502 │               drive safely will │        │      │         │         │        │
 503 │               B. Have an        │        │      │         │         │        │
 504 │               accident?         │        │      │         │         │        │
 505 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 506 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 507 │GENDER:        is it that drivers│        │      │         │         │        │
 508 │               who have had too  │        │      │         │         │        │
 509 │               much to drink to  │        │      │         │         │        │
 510 │               drive safely will │        │      │         │         │        │
 511 │               C. Be convicted   │        │      │         │         │        │
 512 │               for drunk driving?│        │      │         │         │        │
 513 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 514 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 515 │               is it that drivers│        │      │         │         │        │
 516 │               who have had too  │        │      │         │         │        │
 517 │               much to drink to  │        │      │         │         │        │
 518 │               drive safely will │        │      │         │         │        │
 519 │               C. Be convicted   │        │      │         │         │        │
 520 │               for drunk driving?│        │      │         │         │        │
 521 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 522 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 523 │               is it that drivers│        │      │         │         │        │
 524 │               who have had too  │        │      │         │         │        │
 525 │               much to drink to  │        │      │         │         │        │
 526 │               drive safely will │        │      │         │         │        │
 527 │               C. Be convicted   │        │      │         │         │        │
 528 │               for drunk driving?│        │      │         │         │        │
 529 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 530 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 531 │GENDER:        is it that drivers│        │      │         │         │        │
 532 │               who have had too  │        │      │         │         │        │
 533 │               much to drink to  │        │      │         │         │        │
 534 │               drive safely will │        │      │         │         │        │
 535 │               D. Be arrested for│        │      │         │         │        │
 536 │               drunk driving?    │        │      │         │         │        │
 537 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 538 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 539 │               is it that drivers│        │      │         │         │        │
 540 │               who have had too  │        │      │         │         │        │
 541 │               much to drink to  │        │      │         │         │        │
 542 │               drive safely will │        │      │         │         │        │
 543 │               D. Be arrested for│        │      │         │         │        │
 544 │               drunk driving?    │        │      │         │         │        │
 545 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 546 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 547 │               is it that drivers│        │      │         │         │        │
 548 │               who have had too  │        │      │         │         │        │
 549 │               much to drink to  │        │      │         │         │        │
 550 │               drive safely will │        │      │         │         │        │
 551 │               D. Be arrested for│        │      │         │         │        │
 552 │               drunk driving?    │        │      │         │         │        │
 553 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 554 ])
 555 AT_CLEANUP
 556
 557 AT_SETUP([CTABLES nesting and scale variables])
 558 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 559 AT_DATA([ctables.sps],
 560 [[GET 'nhtsa.sav'.
 561 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 562 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 563 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 564   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 565 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 566 ]])
 567 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 568                                   Custom Tables
 569 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 570 │                                                                 │S3a. GENDER:│
 571 │                                                                 ├─────┬──────┤
 572 │                                                                 │ Male│Female│
 573 │                                                                 ├─────┼──────┤
 574 │                                                                 │ Mean│ Mean │
 575 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 576 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 577 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 578 │                                                  week           │     │      │
 579 │                                                  Once a week or │   44│    54│
 580 │                                                  less           │     │      │
 581 │                                                  Only certain   │   34│    41│
 582 │                                                  times a year   │     │      │
 583 │                                                  Never          │   39│    55│
 584 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 585
 586                                   Custom Tables
 587 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 588 │                                                         │Minimum│Maximum│Mean│
 589 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 590 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 591 │What is  GENDER:         months, has there been a        │       │       │    │
 592 │your                     time when you felt you          │       │       │    │
 593 │age?                     should cut down on your      No │     16│     86│  46│
 594 │                         drinking?                       │       │       │    │
 595 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 596 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 597 │                         months, has there been a        │       │       │    │
 598 │                         time when you felt you          │       │       │    │
 599 │                         should cut down on your      No │     16│     86│  48│
 600 │                         drinking?                       │       │       │    │
 601 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 602 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 603 │What is  GENDER:         months, has there been a        │       │       │    │
 604 │your                     time when people criticized  No │     16│     86│  46│
 605 │age?                     your drinking?                  │       │       │    │
 606 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 607 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 608 │                         months, has there been a        │       │       │    │
 609 │                         time when people criticized  No │     16│     86│  48│
 610 │                         your drinking?                  │       │       │    │
 611 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 612
 613                                   Custom Tables
 614 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 615 │                             │S1. Including yourself, how many members of this│
 616 │                             │         household are age 16 or older?         │
 617 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 618 │                             │      │      │      │      │      │      │ 6 or │
 619 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 620 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 621 │                             │Column│Column│Column│Column│Column│Column│Column│
 622 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 623 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 624 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 625 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 626 │SOURCE:     likely           │      │      │      │      │      │      │      │
 627 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 628 │            that     likely  │      │      │      │      │      │      │      │
 629 │            drivers          │      │      │      │      │      │      │      │
 630 │            who have         │      │      │      │      │      │      │      │
 631 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 632 │            much to  likely  │      │      │      │      │      │      │      │
 633 │            drink to         │      │      │      │      │      │      │      │
 634 │            drive            │      │      │      │      │      │      │      │
 635 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 636 │            will A.  unlikely│      │      │      │      │      │      │      │
 637 │            Get              │      │      │      │      │      │      │      │
 638 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 639 │            by the   unlikely│      │      │      │      │      │      │      │
 640 │            police?          │      │      │      │      │      │      │      │
 641 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 642
 643                                   Custom Tables
 644 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 645 │                                                              │    │    Std   │
 646 │                                                              │Mean│ Deviation│
 647 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 648 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 649 │group           typical month did you have one or more        │    │          │
 650 │                alcoholic beverages to drink?                 │    │          │
 651 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 652 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 653 │                typical month did you have one or more        │    │          │
 654 │                alcoholic beverages to drink?                 │    │          │
 655 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 656 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 657 │                typical month did you have one or more        │    │          │
 658 │                alcoholic beverages to drink?                 │    │          │
 659 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 660 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 661 │                typical month did you have one or more        │    │          │
 662 │                alcoholic beverages to drink?                 │    │          │
 663 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 664 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 665 │                typical month did you have one or more        │    │          │
 666 │                alcoholic beverages to drink?                 │    │          │
 667 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 668 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 669 │       older    typical month did you have one or more        │    │          │
 670 │                alcoholic beverages to drink?                 │    │          │
 671 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 672 ])
 673 AT_CLEANUP
 674
 675
 676 AT_SETUP([CTABLES SLABELS])
 677 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 678 AT_DATA([ctables.sps],
 679 [[GET 'nhtsa.sav'.
 680 CTABLES /TABLE qn1 [COUNT COLPCT].
 681 CTABLES /TABLE qn1 [COUNT COLPCT]
 682     /SLABELS POSITION=ROW.
 683 CTABLES /TABLE qn1 [COUNT COLPCT]
 684     /SLABELS POSITION=ROW VISIBLE=NO.
 685 ]])
 686 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 687                                   Custom Tables
 688 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 689 │                                                                │     │ Column│
 690 │                                                                │Count│   %   │
 691 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 692 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 693 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 694 │                                             Once a week or less│  361│   5.2%│
 695 │                                             Only certain times │  130│   1.9%│
 696 │                                             a year             │     │       │
 697 │                                             Never              │  540│   7.7%│
 698 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 699
 700                                   Custom Tables
 701 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 702 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 703 │other motor vehicle?                                             Column │66.9%│
 704 │                                                                 %      │     │
 705 │                                            ╶───────────────────────────┼─────┤
 706 │                                             Several days a week Count  │ 1274│
 707 │                                                                 Column │18.3%│
 708 │                                                                 %      │     │
 709 │                                            ╶───────────────────────────┼─────┤
 710 │                                             Once a week or less Count  │  361│
 711 │                                                                 Column │ 5.2%│
 712 │                                                                 %      │     │
 713 │                                            ╶───────────────────────────┼─────┤
 714 │                                             Only certain times  Count  │  130│
 715 │                                             a year              Column │ 1.9%│
 716 │                                                                 %      │     │
 717 │                                            ╶───────────────────────────┼─────┤
 718 │                                             Never               Count  │  540│
 719 │                                                                 Column │ 7.7%│
 720 │                                                                 %      │     │
 721 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 722
 723                                   Custom Tables
 724 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 725 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 726 │motor vehicle?                                                          │66.9%│
 727 │                                                   Several days a week  │ 1274│
 728 │                                                                        │18.3%│
 729 │                                                   Once a week or less  │  361│
 730 │                                                                        │ 5.2%│
 731 │                                                   Only certain times a │  130│
 732 │                                                   year                 │ 1.9%│
 733 │                                                   Never                │  540│
 734 │                                                                        │ 7.7%│
 735 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 736 ])
 737 AT_CLEANUP
 738
 739 AT_SETUP([CTABLES simple totals])
 740 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 741 AT_DATA([ctables.sps],
 742 [[GET 'nhtsa.sav'.
 743 CTABLES /TABLE=qn17
 744     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 745 DESCRIPTIVES qn18/STATISTICS=MEAN.
 746 CTABLES /TABLE=region > qn18 [MEAN, COUNT, VALIDN, TOTALN]
 747     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 748 ]])
 749 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 750                                   Custom Tables
 751 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 752 │                                                                        │Count│
 753 ├────────────────────────────────────────────────────────────────────────┼─────┤
 754 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 755 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 756 │                                                      Light beer        │  620│
 757 │                                                      Wine              │ 1418│
 758 │                                                      Wine coolers      │  137│
 759 │                                                      Hard liquor or    │  888│
 760 │                                                      mixed drinks      │     │
 761 │                                                      Flavored malt     │   83│
 762 │                                                      drinks            │     │
 763 │                                                      Number responding │ 4221│
 764 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 765
 766                              Descriptive Statistics
 767 ╭────────────────────────────────────────────────────────────────────┬────┬────╮
 768 │                                                                    │  N │Mean│
 769 ├────────────────────────────────────────────────────────────────────┼────┼────┤
 770 │18. When you drink ANSWERFROM(QN17R1), about how many               │4218│4.62│
 771 │ANSWERFROM(QN17R2) do you usually drink per sitting?                │    │    │
 772 │Valid N (listwise)                                                  │6999│    │
 773 │Missing N (listwise)                                                │2781│    │
 774 ╰────────────────────────────────────────────────────────────────────┴────┴────╯
 775
 776                                   Custom Tables
 777 ╭──────────────────────────────────────────────────────┬────┬─────┬──────┬─────╮
 778 │                                                      │    │     │ Valid│Total│
 779 │                                                      │Mean│Count│   N  │  N  │
 780 ├──────────────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 781 │Region NE       18. When you drink ANSWERFROM(QN17R1),│4.36│ 1409│   949│ 1409│
 782 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 783 │                you usually drink per sitting?        │    │     │      │     │
 784 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 785 │       MW       18. When you drink ANSWERFROM(QN17R1),│4.67│ 1654│  1027│ 1654│
 786 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 787 │                you usually drink per sitting?        │    │     │      │     │
 788 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 789 │       S        18. When you drink ANSWERFROM(QN17R1),│4.71│ 2390│  1287│ 2390│
 790 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 791 │                you usually drink per sitting?        │    │     │      │     │
 792 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 793 │       W        18. When you drink ANSWERFROM(QN17R1),│4.69│ 1546│   955│ 1546│
 794 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 795 │                you usually drink per sitting?        │    │     │      │     │
 796 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 797 │       All      18. When you drink ANSWERFROM(QN17R1),│4.62│ 6999│  4218│ 6999│
 798 │       regions  about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 799 │                you usually drink per sitting?        │    │     │      │     │
 800 ╰──────────────────────────────────────────────────────┴────┴─────┴──────┴─────╯
 801 ])
 802 AT_CLEANUP
 803
 804 AT_SETUP([CTABLES subtotals])
 805 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 806 AT_DATA([ctables.sps],
 807 [[GET 'nhtsa.sav'.
 808 CTABLES /TABLE=qn105ba BY qns1
 809     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 810 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 811     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 812 CTABLES /TABLE=qn105ba BY qns1
 813     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 814     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 815 ]])
 816 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 817                                                       Custom Tables
 818 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 819 │                                                         │ S1. Including yourself, how many members of this household │
 820 │                                                         │                    are age 16 or older?                    │
 821 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 822 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 823 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 824 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 825 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 826 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 827 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 828 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 829 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 830 │                                              likely     │       │       │         │       │        │      │          │
 831 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 832 │                                              unlikely   │       │       │         │       │        │      │          │
 833 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 834 │                                              unlikely   │       │       │         │       │        │      │          │
 835 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 836
 837                                                       Custom Tables
 838 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 839 │                                                        │  S1. Including yourself, how many members of this household │
 840 │                                                        │                     are age 16 or older?                    │
 841 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 842 │                                                        │        │        │        │        │       │        │  6 or  │
 843 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 844 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 845 │                                                        │        │        │        │        │ Column│        │        │
 846 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 847 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 848 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 849 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 850 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 851 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 852 │                                             likely     │        │        │        │        │       │        │        │
 853 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 854 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 855 │                                             unlikely   │        │        │        │        │       │        │        │
 856 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 857 │                                             unlikely   │        │        │        │        │       │        │        │
 858 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 859 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 860
 861                                                       Custom Tables
 862 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 863 │                                                         │ S1. Including yourself, how many members of this household │
 864 │                                                         │                    are age 16 or older?                    │
 865 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 866 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 867 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 868 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 869 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 870 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 871 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 872 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 873 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 874 │                                              likely     │       │       │         │       │        │      │          │
 875 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 876 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 877 │                                              unlikely   │       │       │         │       │        │      │          │
 878 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 879 │                                              unlikely   │       │       │         │       │        │      │          │
 880 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 881 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 882 ])
 883 AT_CLEANUP
 884
 885 AT_SETUP([CTABLES PCOMPUTE])
 886 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 887 AT_DATA([ctables.sps],
 888 [[GET 'nhtsa.sav'.
 889 CTABLES
 890     /PCOMPUTE &x=EXPR([3] + [4])
 891     /PCOMPUTE &y=EXPR([4] + [5])
 892     /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES FORMAT=COUNT F8.2
 893     /PPROPERTIES &y LABEL='4+5'
 894     /TABLE=qn105ba BY qns1
 895     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
 896 ]])
 897 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 898                                                       Custom Tables
 899 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 900 │                                                        │  S1. Including yourself, how many members of this household │
 901 │                                                        │                     are age 16 or older?                    │
 902 │                                                        ├───────┬───────┬──────────┬───────┬────────┬──────┬──────────┤
 903 │                                                        │   1   │   2   │ Subtotal │   5   │   3+4  │  4+5 │ Subtotal │
 904 │                                                        ├───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
 905 │                                                        │ Count │ Count │   Count  │ Count │  Count │ Count│   Count  │
 906 ├────────────────────────────────────────────────────────┼───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
 907 │105b. How likely is it that drivers who have Almost     │    147│    246│       393│     11│   81.00│    30│        92│
 908 │had too much to drink to drive safely will   certain    │       │       │          │       │        │      │          │
 909 │A. Get stopped by the police?                Very likely│    384│    552│       936│     14│  171.00│    65│       185│
 910 │                                             Somewhat   │    590│   1249│      1839│     20│  265.00│    92│       285│
 911 │                                             likely     │       │       │          │       │        │      │          │
 912 │                                             Somewhat   │    278│    647│       925│      6│  116.00│    38│       122│
 913 │                                             unlikely   │       │       │          │       │        │      │          │
 914 │                                             Very       │    141│    290│       431│      4│   59.00│    22│        63│
 915 │                                             unlikely   │       │       │          │       │        │      │          │
 916 ╰────────────────────────────────────────────────────────┴───────┴───────┴──────────┴───────┴────────┴──────┴──────────╯
 917 ])
 918 AT_CLEANUP
 919
 920 AT_SETUP([CTABLES CLABELS])
 921 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 922 AT_DATA([ctables.sps],
 923 [[GET 'nhtsa.sav'.
 924 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
 925 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
 926 ]])
 927 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 928                                                       Custom Tables
 929 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
 930 │       │                                                 S3a. GENDER:                                                 │
 931 │       ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
 932 │       │                         Male                         │                         Female                        │
 933 │       ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
 934 │       │  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 │
 935 │       │ younger │   25  │  35  │  45  │  55  │   65  │ older │  younger │  25  │   35  │  45  │  55  │  65  │  older │
 936 │       ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 937 │       │  Count  │ Count │ Count│ Count│ Count│ Count │ Count │   Count  │ Count│ Count │ Count│ Count│ Count│  Count │
 938 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 939 │Age    │        0│    594│   476│   489│   526│    516│    531│         0│   505│    491│   548│   649│   731│     943│
 940 │group  │         │       │      │      │      │       │       │          │      │       │      │      │      │        │
 941 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
 942
 943                 Custom Tables
 944 ╭──────────────────────────────┬────────────╮
 945 │                              │S3a. GENDER:│
 946 │                              ├────────────┤
 947 │                              │    Count   │
 948 ├──────────────────────────────┼────────────┤
 949 │Age group 15 or younger Male  │           0│
 950 │                        Female│           0│
 951 │         ╶────────────────────┼────────────┤
 952 │          16 to 25      Male  │         594│
 953 │                        Female│         505│
 954 │         ╶────────────────────┼────────────┤
 955 │          26 to 35      Male  │         476│
 956 │                        Female│         491│
 957 │         ╶────────────────────┼────────────┤
 958 │          36 to 45      Male  │         489│
 959 │                        Female│         548│
 960 │         ╶────────────────────┼────────────┤
 961 │          46 to 55      Male  │         526│
 962 │                        Female│         649│
 963 │         ╶────────────────────┼────────────┤
 964 │          56 to 65      Male  │         516│
 965 │                        Female│         731│
 966 │         ╶────────────────────┼────────────┤
 967 │          66 or older   Male  │         531│
 968 │                        Female│         943│
 969 ╰──────────────────────────────┴────────────╯
 970 ])
 971 AT_CLEANUP
 972
 973 AT_SETUP([CTABLES missing values])
 974 AT_DATA([ctables.sps],
 975 [[DATA LIST LIST NOTABLE/x y.
 976 BEGIN DATA.
 977 1 1
 978 1 2
 979 1 3
 980 1 4
 981 1 5
 982 1 .
 983 2 1
 984 2 2
 985 2 3
 986 2 4
 987 2 5
 988 2 .
 989 3 1
 990 3 2
 991 3 3
 992 3 4
 993 3 5
 994 3 .
 995 4 1
 996 4 2
 997 4 3
 998 4 4
 999 4 5
1000 4 .
1001 5 1
1002 5 2
1003 5 3
1004 5 4
1005 5 5
1006 5 .
1007 . 1
1008 . 2
1009 . 3
1010 . 4
1011 . 5
1012 . .
1013 END DATA.
1014 MISSING VALUES x (1, 2) y (2, 3).
1015 VARIABLE LEVEL ALL (NOMINAL).
1016
1017 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
1018     /CATEGORIES VARIABLES=ALL TOTAL=YES.
1019 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
1020     /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
1021 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1022     /CATEGORIES VARIABLES=ALL TOTAL=YES
1023     /SLABELS POSITION=ROW.
1024 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1025     /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE
1026     /SLABELS POSITION=ROW.
1027 CTABLES /TABLE x BY y[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, ROWPCT, ROWPCT.VALIDN, ROWPCT.TOTALN, VALIDN, TOTALN]]
1028     /CATEGORIES VARIABLES=x [1, 2, 3, 4] TOTAL=YES
1029     /CATEGORIES VARIABLES=y [1, 3, 4, 5] TOTAL=YES
1030     /SLABELS POSITION=ROW.
1031 ]])
1032 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1033                                Custom Tables
1034 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1035 │       │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1036 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1037 │x 3.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1038 │  4.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1039 │  5.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1040 │  Total│   18│  100.0%│          100.0%│          100.0%│     18│     36│
1041 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1042 dnl Note that Column Total N % doesn't add up to 100 because missing
1043 dnl values are included in the total but not shown as a category and this
1044 dnl is expected behavior.
1045
1046                                Custom Tables
1047 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1048 │       │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1049 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1050 │x 1.00 │    6│   20.0%│             .0%│           16.7%│       │       │
1051 │  2.00 │    6│   20.0%│             .0%│           16.7%│       │       │
1052 │  3.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1053 │  4.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1054 │  5.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1055 │  Total│   30│  100.0%│          100.0%│          100.0%│     18│     36│
1056 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1057 dnl Note that Column Total N % doesn't add up to 100 because system-missing
1058 dnl values are included in the total but not shown as a category and this
1059 dnl is expected behavior.
1060
1061                      Custom Tables
1062 ╭────────────────────────┬───────────────────────────╮
1063 │                        │             y             │
1064 │                        ├──────┬──────┬──────┬──────┤
1065 │                        │ 1.00 │ 4.00 │ 5.00 │ Total│
1066 ├────────────────────────┼──────┼──────┼──────┼──────┤
1067 │x 3.00  Count           │     1│     1│     1│     3│
1068 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1069 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1070 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1071 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1072 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1073 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1074 │        Valid N         │      │      │      │     3│
1075 │        Total N         │      │      │      │     6│
1076 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1077 │  4.00  Count           │     1│     1│     1│     3│
1078 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1079 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1080 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1081 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1082 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1083 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1084 │        Valid N         │      │      │      │     3│
1085 │        Total N         │      │      │      │     6│
1086 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1087 │  5.00  Count           │     1│     1│     1│     3│
1088 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1089 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1090 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1091 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1092 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1093 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1094 │        Valid N         │      │      │      │     3│
1095 │        Total N         │      │      │      │     6│
1096 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1097 │  Total Count           │     3│     3│     3│     9│
1098 │        Column %        │100.0%│100.0%│100.0%│     .│
1099 │        Column Valid N %│100.0%│100.0%│100.0%│     .│
1100 │        Column Total N %│100.0%│100.0%│100.0%│     .│
1101 │        Row %           │     .│     .│     .│     .│
1102 │        Row Valid N %   │     .│     .│     .│     .│
1103 │        Row Total N %   │     .│     .│     .│     .│
1104 │        Valid N         │     3│     3│     3│     9│
1105 │        Total N         │     6│     6│     6│    36│
1106 ╰────────────────────────┴──────┴──────┴──────┴──────╯
1107
1108                             Custom Tables
1109 ╭────────────────────────┬─────────────────────────────────────────╮
1110 │                        │                    y                    │
1111 │                        ├──────┬──────┬──────┬──────┬──────┬──────┤
1112 │                        │ 1.00 │ 2.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1113 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1114 │x 1.00  Count           │     1│     1│     1│     1│     1│     5│
1115 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1116 │        Column Valid N %│   .0%│     .│     .│   .0%│   .0%│     .│
1117 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1118 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1119 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1120 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1121 │        Valid N         │      │      │      │      │      │     0│
1122 │        Total N         │      │      │      │      │      │     6│
1123 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1124 │  2.00  Count           │     1│     1│     1│     1│     1│     5│
1125 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1126 │        Column Valid N %│   .0%│     .│     .│   .0%│   .0%│     .│
1127 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1128 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1129 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1130 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1131 │        Valid N         │      │      │      │      │      │     0│
1132 │        Total N         │      │      │      │      │      │     6│
1133 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1134 │  3.00  Count           │     1│     1│     1│     1│     1│     5│
1135 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1136 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1137 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1138 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1139 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1140 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1141 │        Valid N         │      │      │      │      │      │     3│
1142 │        Total N         │      │      │      │      │      │     6│
1143 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1144 │  4.00  Count           │     1│     1│     1│     1│     1│     5│
1145 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1146 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1147 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1148 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1149 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1150 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1151 │        Valid N         │      │      │      │      │      │     3│
1152 │        Total N         │      │      │      │      │      │     6│
1153 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1154 │  5.00  Count           │     1│     1│     1│     1│     1│     5│
1155 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1156 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1157 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1158 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1159 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1160 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1161 │        Valid N         │      │      │      │      │      │     3│
1162 │        Total N         │      │      │      │      │      │     6│
1163 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1164 │  Total Count           │     5│     5│     5│     5│     5│    25│
1165 │        Column %        │100.0%│100.0%│100.0%│100.0%│100.0%│     .│
1166 │        Column Valid N %│100.0%│     .│     .│100.0%│100.0%│     .│
1167 │        Column Total N %│100.0%│100.0%│100.0%│100.0%│100.0%│     .│
1168 │        Row %           │     .│     .│     .│     .│     .│     .│
1169 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1170 │        Row Total N %   │     .│     .│     .│     .│     .│     .│
1171 │        Valid N         │     3│     0│     0│     3│     3│     9│
1172 │        Total N         │     6│     6│     6│     6│     6│    36│
1173 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────╯
1174
1175                         Custom Tables
1176 ╭────────────────────────┬──────────────────────────────────╮
1177 │                        │                 y                │
1178 │                        ├──────┬──────┬──────┬──────┬──────┤
1179 │                        │ 1.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1180 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┤
1181 │x 1.00  Count           │     1│     1│     1│     1│     4│
1182 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1183 │        Column Valid N %│   .0%│     .│   .0%│   .0%│     .│
1184 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1185 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1186 │        Row Valid N %   │     .│     .│     .│     .│     .│
1187 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1188 │        Valid N         │      │      │      │      │     0│
1189 │        Total N         │      │      │      │      │     6│
1190 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1191 │  2.00  Count           │     1│     1│     1│     1│     4│
1192 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1193 │        Column Valid N %│   .0%│     .│   .0%│   .0%│     .│
1194 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1195 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1196 │        Row Valid N %   │     .│     .│     .│     .│     .│
1197 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1198 │        Valid N         │      │      │      │      │     0│
1199 │        Total N         │      │      │      │      │     6│
1200 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1201 │  3.00  Count           │     1│     1│     1│     1│     4│
1202 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1203 │        Column Valid N %│ 50.0%│     .│ 50.0%│ 50.0%│     .│
1204 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1205 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1206 │        Row Valid N %   │ 33.3%│   .0%│ 33.3%│ 33.3%│100.0%│
1207 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1208 │        Valid N         │      │      │      │      │     3│
1209 │        Total N         │      │      │      │      │     6│
1210 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1211 │  4.00  Count           │     1│     1│     1│     1│     4│
1212 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1213 │        Column Valid N %│ 50.0%│     .│ 50.0%│ 50.0%│     .│
1214 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1215 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1216 │        Row Valid N %   │ 33.3%│   .0%│ 33.3%│ 33.3%│100.0%│
1217 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1218 │        Valid N         │      │      │      │      │     3│
1219 │        Total N         │      │      │      │      │     6│
1220 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1221 │  Total Count           │     4│     4│     4│     4│    16│
1222 │        Column %        │100.0%│100.0%│100.0%│100.0%│     .│
1223 │        Column Valid N %│100.0%│     .│100.0%│100.0%│     .│
1224 │        Column Total N %│100.0%│100.0%│100.0%│100.0%│     .│
1225 │        Row %           │     .│     .│     .│     .│     .│
1226 │        Row Valid N %   │     .│     .│     .│     .│     .│
1227 │        Row Total N %   │     .│     .│     .│     .│     .│
1228 │        Valid N         │     2│     0│     2│     2│     6│
1229 │        Total N         │     5│     5│     5│     5│    30│
1230 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────╯
1231 ])
1232 AT_CLEANUP
1233
1234 AT_SETUP([CTABLES SMISSING=LISTWISE])
1235 AT_KEYWORDS([SMISSING LISTWISE])
1236 AT_DATA([ctables.sps],
1237 [[DATA LIST LIST NOTABLE/x y z.
1238 BEGIN DATA.
1239 1  . 40
1240 1 10 50
1241 1 20 60
1242 1  .  .
1243 1 30  .
1244 END DATA.
1245 VARIABLE LEVEL x (NOMINAL).
1246
1247 CTABLES /TABLE (y + z) > x.
1248 CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
1249
1250 * The following doesn't come out as listwise because the tables are
1251 separate, not linked by an > operator.
1252 CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
1253 ]])
1254 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1255   Custom Tables
1256 ╭────────┬─────╮
1257 │        │ Mean│
1258 ├────────┼─────┤
1259 │y x 1.00│20.00│
1260 ├────────┼─────┤
1261 │z x 1.00│50.00│
1262 ╰────────┴─────╯
1263
1264   Custom Tables
1265 ╭────────┬─────╮
1266 │        │ Mean│
1267 ├────────┼─────┤
1268 │y x 1.00│15.00│
1269 ├────────┼─────┤
1270 │z x 1.00│55.00│
1271 ╰────────┴─────╯
1272
1273   Custom Tables
1274 ╭────────┬─────╮
1275 │        │ Mean│
1276 ├────────┼─────┤
1277 │y x 1.00│20.00│
1278 ├────────┼─────┤
1279 │z x 1.00│50.00│
1280 ╰────────┴─────╯
1281 ])
1282 AT_CLEANUP