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

   1 AT_BANNER([CTABLES])
   2
   3 dnl TODO:
   4 dnl
   5 dnl - Parsing (positive and negative)
   6 dnl - String variables and values
   7 dnl - Date/time variables and values
   8 dnl - Multiple-response sets.
   9 dnl   * MRSETS subcommand.
  10 dnl - SPLIT FILE with SEPARATE splits
  11 dnl - Definition of columns/rows when labels are rotated from one axis to another.
  12 dnl - Preprocessing to distinguish categorical from scale.
  13 dnl - )CILEVEL in summary specifications
  14 dnl - Summary functions:
  15 dnl   * Unimplemented ones.
  16 dnl   * U-prefix for unweighted summaries.
  17 dnl   * .LCL and .UCL suffixes.
  18 dnl   * .SE suffixes.
  19 dnl   * Separate summary functions for totals and subtotals.
  20 dnl - Special formats for summary functions: NEGPAREN, NEQUAL, PAREN, PCTPAREN.
  21 dnl - Testing details of missing value handling in summaries.
  22 dnl - test CLABELS ROWLABELS=LAYER.
  23 dnl - CATEGORIES:
  24 dnl   * Special case for explicit category specifications and multiple dichotomy sets
  25 dnl   * THRU
  26 dnl   * OTHERNM
  27 dnl   * String values
  28 dnl   * Date values
  29 dnl   * Data-dependent sorting.
  30 dnl - TITLES: )DATE, )TIME, )TABLE.
  31 dnl - SIGTEST
  32 dnl - COMPARETEST
  33 dnl - FORMAT:
  34 dnl   * MINCOLWIDTH, MAXCOLWIDTH, UNITS.
  35 dnl   * EMPTY.
  36 dnl   * MISSING.
  37 dnl - VLABELS.
  38 dnl - SMISSING (see documentation).
  39 dnl - Test WEIGHT and adjustment weights.
  40 dnl - Test PCOMPUTE and PPROPERTIES.
  41 dnl - PCOMPUTE:
  42 dnl   * multi-dimensional
  43 dnl   * MISSING, OTHERNM
  44 dnl   * strings
  45 dnl - HIDESMALLCOUNTS.
  46 dnl - Are string ranges a thing?
  47 dnl
  48 dnl Bug:
  49 dnl     CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
  50 dnl produces a bad median:
  51 dnl                     Custom Tables
  52 dnl +--------------------------+-----------------------+
  53 dnl |                          |      S3a. GENDER:     |
  54 dnl |                          +-----------+-----------+
  55 dnl |                          |    Male   |   Female  |
  56 dnl |                          +----+------+----+------+
  57 dnl |                          |Mean|Median|Mean|Median|
  58 dnl +--------------------------+----+------+----+------+
  59 dnl |D1. AGE: What is your age?|  46|   999|  50|   999|
  60 dnl +--------------------------+----+------+----+------+
  61
  62
  63
  64 # AT_SETUP([CTABLES parsing])
  65 # AT_DATA([ctables.sps],
  66 # [[DATA LIST LIST NOTABLE /x y z.
  67 # CTABLES /TABLE=(x + y) > z.
  68 # CTABLES /TABLE=(x[c] + y[c]) > z.
  69 # CTABLES /TABLE=(x + y) > z[c].
  70 # CTABLES /TABLE=x BY y BY z.
  71 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  72 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  73 # ]])
  74 # AT_CHECK([pspp ctables.sps])
  75 # AT_CLEANUP
  76
  77 AT_SETUP([CTABLES one categorical variable])
  78 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  79 AT_DATA([ctables.sps],
  80 [[GET 'nhtsa.sav'.
  81 CTABLES /TABLE qn1.
  82 CTABLES /TABLE BY qn1.
  83 CTABLES /TABLE BY BY qn1.
  84 ]])
  85 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
  86                                   Custom Tables
  87 ╭────────────────────────────────────────────────────────────────────────┬─────╮
  88 │                                                                        │Count│
  89 ├────────────────────────────────────────────────────────────────────────┼─────┤
  90 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
  91 │motor vehicle?                                     Several days a week  │ 1274│
  92 │                                                   Once a week or less  │  361│
  93 │                                                   Only certain times a │  130│
  94 │                                                   year                 │     │
  95 │                                                   Never                │  540│
  96 ╰────────────────────────────────────────────────────────────────────────┴─────╯
  97
  98                                   Custom Tables
  99 ╭──────────────────────────────────────────────────────────────────────────────╮
 100 │        1. How often do you usually drive a car or other motor vehicle?       │
 101 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
 102 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
 103 │Every day│       week       │       less       │          year          │Never│
 104 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 105 │  Count  │       Count      │       Count      │          Count         │Count│
 106 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 107 │     4667│              1274│               361│                     130│  540│
 108 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
 109
 110 Custom Tables
 111 Every day
 112 ╭─────╮
 113 │Count│
 114 ├─────┤
 115 │ 4667│
 116 ╰─────╯
 117 ])
 118 AT_CLEANUP
 119
 120 AT_SETUP([CTABLES one scale variable])
 121 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 122 AT_DATA([ctables.sps],
 123 [[GET 'nhtsa.sav'.
 124 CTABLES /TABLE qnd1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM].
 125 CTABLES /TABLE BY qnd1.
 126 CTABLES /TABLE BY BY qnd1.
 127 ]])
 128 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 129                             Custom Tables
 130 ╭──────────────────────────┬─────┬────┬─────────────┬───────┬───────╮
 131 │                          │Count│Mean│Std Deviation│Minimum│Maximum│
 132 ├──────────────────────────┼─────┼────┼─────────────┼───────┼───────┤
 133 │D1. AGE: What is your age?│ 6930│  48│           19│     16│     86│
 134 ╰──────────────────────────┴─────┴────┴─────────────┴───────┴───────╯
 135
 136         Custom Tables
 137 ╭──────────────────────────╮
 138 │D1. AGE: What is your age?│
 139 ├──────────────────────────┤
 140 │           Mean           │
 141 ├──────────────────────────┤
 142 │                        48│
 143 ╰──────────────────────────╯
 144
 145 Custom Tables
 146 D1. AGE: What is your age?
 147 ╭────╮
 148 │Mean│
 149 ├────┤
 150 │  48│
 151 ╰────╯
 152 ])
 153 AT_CLEANUP
 154
 155 AT_SETUP([CTABLES simple stacking])
 156 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 157 AT_DATA([ctables.sps],
 158 [[GET 'nhtsa.sav'.
 159 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 160 ]])
 161 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 162                                   Custom Tables
 163 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 164 │                                                               │ S3a. GENDER: │
 165 │                                                               ├──────┬───────┤
 166 │                                                               │ Male │ Female│
 167 │                                                               ├──────┼───────┤
 168 │                                                               │Column│ Column│
 169 │                                                               │   %  │   %   │
 170 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 171 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 172 │too much to drink to drive safely will A. Get      certain     │      │       │
 173 │stopped by the police?                             Very likely │   21%│    22%│
 174 │                                                   Somewhat    │   38%│    42%│
 175 │                                                   likely      │      │       │
 176 │                                                   Somewhat    │   21%│    18%│
 177 │                                                   unlikely    │      │       │
 178 │                                                   Very        │   10%│     8%│
 179 │                                                   unlikely    │      │       │
 180 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 181 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 182 │too much to drink to drive safely will B. Have an  certain     │      │       │
 183 │accident?                                          Very likely │   36%│    45%│
 184 │                                                   Somewhat    │   39%│    32%│
 185 │                                                   likely      │      │       │
 186 │                                                   Somewhat    │    9%│     4%│
 187 │                                                   unlikely    │      │       │
 188 │                                                   Very        │    3%│     2%│
 189 │                                                   unlikely    │      │       │
 190 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 191 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 192 │too much to drink to drive safely will C. Be       certain     │      │       │
 193 │convicted for drunk driving?                       Very likely │   32%│    28%│
 194 │                                                   Somewhat    │   27%│    32%│
 195 │                                                   likely      │      │       │
 196 │                                                   Somewhat    │   15%│    15%│
 197 │                                                   unlikely    │      │       │
 198 │                                                   Very        │    9%│     9%│
 199 │                                                   unlikely    │      │       │
 200 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 201 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 202 │too much to drink to drive safely will D. Be       certain     │      │       │
 203 │arrested for drunk driving?                        Very likely │   26%│    27%│
 204 │                                                   Somewhat    │   32%│    35%│
 205 │                                                   likely      │      │       │
 206 │                                                   Somewhat    │   17%│    15%│
 207 │                                                   unlikely    │      │       │
 208 │                                                   Very        │    9%│     7%│
 209 │                                                   unlikely    │      │       │
 210 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 211 ])
 212 AT_CLEANUP
 213
 214 AT_SETUP([CTABLES show or hide empty categories])
 215 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 216 AT_DATA([ctables.sps],
 217 [[GET 'nhtsa.sav'.
 218 IF (qn105ba = 2) qn105ba = 1.
 219 IF (qns3a = 1) qns3a = 2.
 220 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 221 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 222     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 223 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 224     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 225 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 226     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 227 ]])
 228 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 229                                   Custom Tables
 230 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 231 │                                                              │  S3a. GENDER: │
 232 │                                                              ├───────┬───────┤
 233 │                                                              │  Male │ Female│
 234 │                                                              ├───────┼───────┤
 235 │                                                              │ Column│ Column│
 236 │                                                              │   %   │   %   │
 237 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 238 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 239 │too much to drink to drive safely will A. Get      certain    │       │       │
 240 │stopped by the police?                             Very likely│      .│     0%│
 241 │                                                   Somewhat   │      .│    40%│
 242 │                                                   likely     │       │       │
 243 │                                                   Somewhat   │      .│    19%│
 244 │                                                   unlikely   │       │       │
 245 │                                                   Very       │      .│     9%│
 246 │                                                   unlikely   │       │       │
 247 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 248
 249                                   Custom Tables
 250 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 251 │                                                              │  S3a. GENDER: │
 252 │                                                              ├───────┬───────┤
 253 │                                                              │  Male │ Female│
 254 │                                                              ├───────┼───────┤
 255 │                                                              │ Column│ Column│
 256 │                                                              │   %   │   %   │
 257 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 258 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 259 │too much to drink to drive safely will A. Get      certain    │       │       │
 260 │stopped by the police?                             Somewhat   │      .│    40%│
 261 │                                                   likely     │       │       │
 262 │                                                   Somewhat   │      .│    19%│
 263 │                                                   unlikely   │       │       │
 264 │                                                   Very       │      .│     9%│
 265 │                                                   unlikely   │       │       │
 266 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 267
 268                                   Custom Tables
 269 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 270 │                                                                    │   S3a.  │
 271 │                                                                    │ GENDER: │
 272 │                                                                    ├─────────┤
 273 │                                                                    │  Female │
 274 │                                                                    ├─────────┤
 275 │                                                                    │ Column %│
 276 ├────────────────────────────────────────────────────────────────────┼─────────┤
 277 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 278 │much to drink to drive safely will A. Get stopped by    certain     │         │
 279 │the police?                                             Very likely │       0%│
 280 │                                                        Somewhat    │      40%│
 281 │                                                        likely      │         │
 282 │                                                        Somewhat    │      19%│
 283 │                                                        unlikely    │         │
 284 │                                                        Very        │       9%│
 285 │                                                        unlikely    │         │
 286 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 287
 288                                   Custom Tables
 289 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 290 │                                                                    │   S3a.  │
 291 │                                                                    │ GENDER: │
 292 │                                                                    ├─────────┤
 293 │                                                                    │  Female │
 294 │                                                                    ├─────────┤
 295 │                                                                    │ Column %│
 296 ├────────────────────────────────────────────────────────────────────┼─────────┤
 297 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 298 │much to drink to drive safely will A. Get stopped by    certain     │         │
 299 │the police?                                             Somewhat    │      40%│
 300 │                                                        likely      │         │
 301 │                                                        Somewhat    │      19%│
 302 │                                                        unlikely    │         │
 303 │                                                        Very        │       9%│
 304 │                                                        unlikely    │         │
 305 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 306 ])
 307 AT_CLEANUP
 308
 309 AT_SETUP([CTABLES simple nesting])
 310 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 311 AT_DATA([ctables.sps],
 312 [[GET 'nhtsa.sav'.
 313 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 314   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 315 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 316   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 317   /CLABELS ROW=OPPOSITE.
 318 ]])
 319 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 320                                   Custom Tables
 321 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 322 │                                                                 │     │ Table│
 323 │                                                                 │Count│   %  │
 324 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 325 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 326 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 327 │drive safely will A. Get stopped by                        Total │  700│   10%│
 328 │the police?                           ╶──────────────────────────┼─────┼──────┤
 329 │                                       Very       S3a.     Male  │  660│   10%│
 330 │                                       likely     GENDER:  Female│  842│   12%│
 331 │                                                           Total │ 1502│   22%│
 332 │                                      ╶──────────────────────────┼─────┼──────┤
 333 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 334 │                                       likely     GENDER:  Female│ 1589│   23%│
 335 │                                                           Total │ 2763│   40%│
 336 │                                      ╶──────────────────────────┼─────┼──────┤
 337 │                                       Somewhat   S3a.     Male  │  640│    9%│
 338 │                                       unlikely   GENDER:  Female│  667│   10%│
 339 │                                                           Total │ 1307│   19%│
 340 │                                      ╶──────────────────────────┼─────┼──────┤
 341 │                                       Very       S3a.     Male  │  311│    5%│
 342 │                                       unlikely   GENDER:  Female│  298│    4%│
 343 │                                                           Total │  609│    9%│
 344 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 345 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 346 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 347 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 348 │                                      ╶──────────────────────────┼─────┼──────┤
 349 │                                       Very       S3a.     Male  │ 1104│   16%│
 350 │                                       likely     GENDER:  Female│ 1715│   25%│
 351 │                                                           Total │ 2819│   41%│
 352 │                                      ╶──────────────────────────┼─────┼──────┤
 353 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 354 │                                       likely     GENDER:  Female│ 1214│   18%│
 355 │                                                           Total │ 2417│   35%│
 356 │                                      ╶──────────────────────────┼─────┼──────┤
 357 │                                       Somewhat   S3a.     Male  │  262│    4%│
 358 │                                       unlikely   GENDER:  Female│  168│    2%│
 359 │                                                           Total │  430│    6%│
 360 │                                      ╶──────────────────────────┼─────┼──────┤
 361 │                                       Very       S3a.     Male  │   81│    1%│
 362 │                                       unlikely   GENDER:  Female│   59│    1%│
 363 │                                                           Total │  140│    2%│
 364 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 365 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 366 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 367 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 368 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 369 │                                       Very       S3a.     Male  │  988│   14%│
 370 │                                       likely     GENDER:  Female│ 1049│   15%│
 371 │                                                           Total │ 2037│   30%│
 372 │                                      ╶──────────────────────────┼─────┼──────┤
 373 │                                       Somewhat   S3a.     Male  │  822│   12%│
 374 │                                       likely     GENDER:  Female│ 1210│   18%│
 375 │                                                           Total │ 2032│   30%│
 376 │                                      ╶──────────────────────────┼─────┼──────┤
 377 │                                       Somewhat   S3a.     Male  │  446│    7%│
 378 │                                       unlikely   GENDER:  Female│  548│    8%│
 379 │                                                           Total │  994│   15%│
 380 │                                      ╶──────────────────────────┼─────┼──────┤
 381 │                                       Very       S3a.     Male  │  268│    4%│
 382 │                                       unlikely   GENDER:  Female│  354│    5%│
 383 │                                                           Total │  622│    9%│
 384 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 385 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 386 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 387 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 388 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 389 │                                       Very       S3a.     Male  │  805│   12%│
 390 │                                       likely     GENDER:  Female│ 1029│   15%│
 391 │                                                           Total │ 1834│   27%│
 392 │                                      ╶──────────────────────────┼─────┼──────┤
 393 │                                       Somewhat   S3a.     Male  │  975│   14%│
 394 │                                       likely     GENDER:  Female│ 1332│   19%│
 395 │                                                           Total │ 2307│   34%│
 396 │                                      ╶──────────────────────────┼─────┼──────┤
 397 │                                       Somewhat   S3a.     Male  │  535│    8%│
 398 │                                       unlikely   GENDER:  Female│  560│    8%│
 399 │                                                           Total │ 1095│   16%│
 400 │                                      ╶──────────────────────────┼─────┼──────┤
 401 │                                       Very       S3a.     Male  │  270│    4%│
 402 │                                       unlikely   GENDER:  Female│  279│    4%│
 403 │                                                           Total │  549│    8%│
 404 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 405
 406                                   Custom Tables
 407 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 408 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 409 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 410 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 411 │                                 │        │ Table│         │         │        │
 412 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 413 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 414 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 415 │GENDER:        is it that drivers│        │      │         │         │        │
 416 │               who have had too  │        │      │         │         │        │
 417 │               much to drink to  │        │      │         │         │        │
 418 │               drive safely will │        │      │         │         │        │
 419 │               A. Get stopped by │        │      │         │         │        │
 420 │               the police?       │        │      │         │         │        │
 421 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 422 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 423 │               is it that drivers│        │      │         │         │        │
 424 │               who have had too  │        │      │         │         │        │
 425 │               much to drink to  │        │      │         │         │        │
 426 │               drive safely will │        │      │         │         │        │
 427 │               A. Get stopped by │        │      │         │         │        │
 428 │               the police?       │        │      │         │         │        │
 429 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 430 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 431 │               is it that drivers│        │      │         │         │        │
 432 │               who have had too  │        │      │         │         │        │
 433 │               much to drink to  │        │      │         │         │        │
 434 │               drive safely will │        │      │         │         │        │
 435 │               A. Get stopped by │        │      │         │         │        │
 436 │               the police?       │        │      │         │         │        │
 437 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 438 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 439 │GENDER:        is it that drivers│        │      │         │         │        │
 440 │               who have had too  │        │      │         │         │        │
 441 │               much to drink to  │        │      │         │         │        │
 442 │               drive safely will │        │      │         │         │        │
 443 │               B. Have an        │        │      │         │         │        │
 444 │               accident?         │        │      │         │         │        │
 445 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 446 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 447 │               is it that drivers│        │      │         │         │        │
 448 │               who have had too  │        │      │         │         │        │
 449 │               much to drink to  │        │      │         │         │        │
 450 │               drive safely will │        │      │         │         │        │
 451 │               B. Have an        │        │      │         │         │        │
 452 │               accident?         │        │      │         │         │        │
 453 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 454 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 455 │               is it that drivers│        │      │         │         │        │
 456 │               who have had too  │        │      │         │         │        │
 457 │               much to drink to  │        │      │         │         │        │
 458 │               drive safely will │        │      │         │         │        │
 459 │               B. Have an        │        │      │         │         │        │
 460 │               accident?         │        │      │         │         │        │
 461 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 462 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 463 │GENDER:        is it that drivers│        │      │         │         │        │
 464 │               who have had too  │        │      │         │         │        │
 465 │               much to drink to  │        │      │         │         │        │
 466 │               drive safely will │        │      │         │         │        │
 467 │               C. Be convicted   │        │      │         │         │        │
 468 │               for drunk driving?│        │      │         │         │        │
 469 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 470 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 471 │               is it that drivers│        │      │         │         │        │
 472 │               who have had too  │        │      │         │         │        │
 473 │               much to drink to  │        │      │         │         │        │
 474 │               drive safely will │        │      │         │         │        │
 475 │               C. Be convicted   │        │      │         │         │        │
 476 │               for drunk driving?│        │      │         │         │        │
 477 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 478 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 479 │               is it that drivers│        │      │         │         │        │
 480 │               who have had too  │        │      │         │         │        │
 481 │               much to drink to  │        │      │         │         │        │
 482 │               drive safely will │        │      │         │         │        │
 483 │               C. Be convicted   │        │      │         │         │        │
 484 │               for drunk driving?│        │      │         │         │        │
 485 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 486 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 487 │GENDER:        is it that drivers│        │      │         │         │        │
 488 │               who have had too  │        │      │         │         │        │
 489 │               much to drink to  │        │      │         │         │        │
 490 │               drive safely will │        │      │         │         │        │
 491 │               D. Be arrested for│        │      │         │         │        │
 492 │               drunk driving?    │        │      │         │         │        │
 493 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 494 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 495 │               is it that drivers│        │      │         │         │        │
 496 │               who have had too  │        │      │         │         │        │
 497 │               much to drink to  │        │      │         │         │        │
 498 │               drive safely will │        │      │         │         │        │
 499 │               D. Be arrested for│        │      │         │         │        │
 500 │               drunk driving?    │        │      │         │         │        │
 501 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 502 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 503 │               is it that drivers│        │      │         │         │        │
 504 │               who have had too  │        │      │         │         │        │
 505 │               much to drink to  │        │      │         │         │        │
 506 │               drive safely will │        │      │         │         │        │
 507 │               D. Be arrested for│        │      │         │         │        │
 508 │               drunk driving?    │        │      │         │         │        │
 509 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 510 ])
 511 AT_CLEANUP
 512
 513 AT_SETUP([CTABLES nesting and scale variables])
 514 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 515 AT_DATA([ctables.sps],
 516 [[GET 'nhtsa.sav'.
 517 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 518 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 519 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 520   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 521 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 522 ]])
 523 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 524                                   Custom Tables
 525 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 526 │                                                                 │S3a. GENDER:│
 527 │                                                                 ├─────┬──────┤
 528 │                                                                 │ Male│Female│
 529 │                                                                 ├─────┼──────┤
 530 │                                                                 │ Mean│ Mean │
 531 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 532 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 533 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 534 │                                                  week           │     │      │
 535 │                                                  Once a week or │   44│    54│
 536 │                                                  less           │     │      │
 537 │                                                  Only certain   │   34│    41│
 538 │                                                  times a year   │     │      │
 539 │                                                  Never          │   39│    55│
 540 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 541
 542                                   Custom Tables
 543 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 544 │                                                         │Minimum│Maximum│Mean│
 545 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 546 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 547 │What is  GENDER:         months, has there been a        │       │       │    │
 548 │your                     time when you felt you          │       │       │    │
 549 │age?                     should cut down on your      No │     16│     86│  46│
 550 │                         drinking?                       │       │       │    │
 551 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 552 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 553 │                         months, has there been a        │       │       │    │
 554 │                         time when you felt you          │       │       │    │
 555 │                         should cut down on your      No │     16│     86│  48│
 556 │                         drinking?                       │       │       │    │
 557 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 558 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 559 │What is  GENDER:         months, has there been a        │       │       │    │
 560 │your                     time when people criticized  No │     16│     86│  46│
 561 │age?                     your drinking?                  │       │       │    │
 562 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 563 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 564 │                         months, has there been a        │       │       │    │
 565 │                         time when people criticized  No │     16│     86│  48│
 566 │                         your drinking?                  │       │       │    │
 567 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 568
 569                                   Custom Tables
 570 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 571 │                             │S1. Including yourself, how many members of this│
 572 │                             │         household are age 16 or older?         │
 573 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 574 │                             │      │      │      │      │      │      │ 6 or │
 575 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 576 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 577 │                             │Column│Column│Column│Column│Column│Column│Column│
 578 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 579 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 580 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 581 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 582 │SOURCE:     likely           │      │      │      │      │      │      │      │
 583 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 584 │            that     likely  │      │      │      │      │      │      │      │
 585 │            drivers          │      │      │      │      │      │      │      │
 586 │            who have         │      │      │      │      │      │      │      │
 587 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 588 │            much to  likely  │      │      │      │      │      │      │      │
 589 │            drink to         │      │      │      │      │      │      │      │
 590 │            drive            │      │      │      │      │      │      │      │
 591 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 592 │            will A.  unlikely│      │      │      │      │      │      │      │
 593 │            Get              │      │      │      │      │      │      │      │
 594 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 595 │            by the   unlikely│      │      │      │      │      │      │      │
 596 │            police?          │      │      │      │      │      │      │      │
 597 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 598
 599                                   Custom Tables
 600 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 601 │                                                              │    │    Std   │
 602 │                                                              │Mean│ Deviation│
 603 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 604 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 605 │group           typical month did you have one or more        │    │          │
 606 │                alcoholic beverages to drink?                 │    │          │
 607 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 608 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 609 │                typical month did you have one or more        │    │          │
 610 │                alcoholic beverages to drink?                 │    │          │
 611 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 612 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 613 │                typical month did you have one or more        │    │          │
 614 │                alcoholic beverages to drink?                 │    │          │
 615 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 616 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 617 │                typical month did you have one or more        │    │          │
 618 │                alcoholic beverages to drink?                 │    │          │
 619 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 620 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 621 │                typical month did you have one or more        │    │          │
 622 │                alcoholic beverages to drink?                 │    │          │
 623 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 624 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 625 │       older    typical month did you have one or more        │    │          │
 626 │                alcoholic beverages to drink?                 │    │          │
 627 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 628 ])
 629 AT_CLEANUP
 630
 631
 632 AT_SETUP([CTABLES SLABELS])
 633 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 634 AT_DATA([ctables.sps],
 635 [[GET 'nhtsa.sav'.
 636 CTABLES /TABLE qn1 [COUNT COLPCT].
 637 CTABLES /TABLE qn1 [COUNT COLPCT]
 638     /SLABELS POSITION=ROW.
 639 CTABLES /TABLE qn1 [COUNT COLPCT]
 640     /SLABELS POSITION=ROW VISIBLE=NO.
 641 ]])
 642 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 643                                   Custom Tables
 644 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 645 │                                                                │     │ Column│
 646 │                                                                │Count│   %   │
 647 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 648 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 649 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 650 │                                             Once a week or less│  361│   5.2%│
 651 │                                             Only certain times │  130│   1.9%│
 652 │                                             a year             │     │       │
 653 │                                             Never              │  540│   7.7%│
 654 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 655
 656                                   Custom Tables
 657 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 658 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 659 │other motor vehicle?                                             Column │66.9%│
 660 │                                                                 %      │     │
 661 │                                            ╶───────────────────────────┼─────┤
 662 │                                             Several days a week Count  │ 1274│
 663 │                                                                 Column │18.3%│
 664 │                                                                 %      │     │
 665 │                                            ╶───────────────────────────┼─────┤
 666 │                                             Once a week or less Count  │  361│
 667 │                                                                 Column │ 5.2%│
 668 │                                                                 %      │     │
 669 │                                            ╶───────────────────────────┼─────┤
 670 │                                             Only certain times  Count  │  130│
 671 │                                             a year              Column │ 1.9%│
 672 │                                                                 %      │     │
 673 │                                            ╶───────────────────────────┼─────┤
 674 │                                             Never               Count  │  540│
 675 │                                                                 Column │ 7.7%│
 676 │                                                                 %      │     │
 677 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 678
 679                                   Custom Tables
 680 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 681 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 682 │motor vehicle?                                                          │66.9%│
 683 │                                                   Several days a week  │ 1274│
 684 │                                                                        │18.3%│
 685 │                                                   Once a week or less  │  361│
 686 │                                                                        │ 5.2%│
 687 │                                                   Only certain times a │  130│
 688 │                                                   year                 │ 1.9%│
 689 │                                                   Never                │  540│
 690 │                                                                        │ 7.7%│
 691 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 692 ])
 693 AT_CLEANUP
 694
 695 AT_SETUP([CTABLES simple totals])
 696 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 697 AT_DATA([ctables.sps],
 698 [[GET 'nhtsa.sav'.
 699 CTABLES /TABLE=qn17
 700     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 701 CTABLES /TABLE=region > qn18 [MEAN, COUNT]
 702     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 703 ]])
 704 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 705                                   Custom Tables
 706 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 707 │                                                                        │Count│
 708 ├────────────────────────────────────────────────────────────────────────┼─────┤
 709 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 710 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 711 │                                                      Light beer        │  620│
 712 │                                                      Wine              │ 1418│
 713 │                                                      Wine coolers      │  137│
 714 │                                                      Hard liquor or    │  888│
 715 │                                                      mixed drinks      │     │
 716 │                                                      Flavored malt     │   83│
 717 │                                                      drinks            │     │
 718 │                                                      Number responding │ 4221│
 719 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 720
 721                                   Custom Tables
 722 ╭───────────────────────────────────────────────────────────────────┬────┬─────╮
 723 │                                                                   │Mean│Count│
 724 ├───────────────────────────────────────────────────────────────────┼────┼─────┤
 725 │Region NE       18. When you drink ANSWERFROM(QN17R1), about how   │4.36│  949│
 726 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 727 │                sitting?                                           │    │     │
 728 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 729 │       MW       18. When you drink ANSWERFROM(QN17R1), about how   │4.67│ 1027│
 730 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 731 │                sitting?                                           │    │     │
 732 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 733 │       S        18. When you drink ANSWERFROM(QN17R1), about how   │4.71│ 1287│
 734 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 735 │                sitting?                                           │    │     │
 736 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 737 │       W        18. When you drink ANSWERFROM(QN17R1), about how   │4.69│  955│
 738 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 739 │                sitting?                                           │    │     │
 740 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 741 │       All      18. When you drink ANSWERFROM(QN17R1), about how   │4.62│ 4218│
 742 │       regions  many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 743 │                sitting?                                           │    │     │
 744 ╰───────────────────────────────────────────────────────────────────┴────┴─────╯
 745 ])
 746 AT_CLEANUP
 747
 748 AT_SETUP([CTABLES subtotals])
 749 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 750 AT_DATA([ctables.sps],
 751 [[GET 'nhtsa.sav'.
 752 CTABLES /TABLE=qn105ba BY qns1
 753     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 754 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 755     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 756 CTABLES /TABLE=qn105ba BY qns1
 757     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 758     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 759 ]])
 760 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 761                                                       Custom Tables
 762 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 763 │                                                         │ S1. Including yourself, how many members of this household │
 764 │                                                         │                    are age 16 or older?                    │
 765 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 766 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 767 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 768 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 769 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 770 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 771 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 772 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 773 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 774 │                                              likely     │       │       │         │       │        │      │          │
 775 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 776 │                                              unlikely   │       │       │         │       │        │      │          │
 777 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 778 │                                              unlikely   │       │       │         │       │        │      │          │
 779 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 780
 781                                                       Custom Tables
 782 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 783 │                                                        │  S1. Including yourself, how many members of this household │
 784 │                                                        │                     are age 16 or older?                    │
 785 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 786 │                                                        │        │        │        │        │       │        │  6 or  │
 787 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 788 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 789 │                                                        │        │        │        │        │ Column│        │        │
 790 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 791 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 792 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 793 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 794 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 795 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 796 │                                             likely     │        │        │        │        │       │        │        │
 797 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 798 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 799 │                                             unlikely   │        │        │        │        │       │        │        │
 800 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 801 │                                             unlikely   │        │        │        │        │       │        │        │
 802 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 803 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 804
 805                                                       Custom Tables
 806 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 807 │                                                         │ S1. Including yourself, how many members of this household │
 808 │                                                         │                    are age 16 or older?                    │
 809 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 810 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 811 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 812 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 813 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 814 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 815 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 816 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 817 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 818 │                                              likely     │       │       │         │       │        │      │          │
 819 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 820 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 821 │                                              unlikely   │       │       │         │       │        │      │          │
 822 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 823 │                                              unlikely   │       │       │         │       │        │      │          │
 824 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 825 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 826 ])
 827 AT_CLEANUP
 828
 829 AT_SETUP([CTABLES PCOMPUTE])
 830 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 831 AT_DATA([ctables.sps],
 832 [[GET 'nhtsa.sav'.
 833 CTABLES
 834     /PCOMPUTE &x=EXPR([3] + [4])
 835     /PCOMPUTE &y=EXPR([4] + [5])
 836     /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES
 837     /PPROPERTIES &y LABEL='4+5'
 838     /TABLE=qn105ba BY qns1
 839     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
 840 ]])
 841 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 842                                                       Custom Tables
 843 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 844 │                                                         │ S1. Including yourself, how many members of this household │
 845 │                                                         │                    are age 16 or older?                    │
 846 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 847 │                                                         │   1   │   2   │ Subtotal│   5   │   3+4  │  4+5 │ Subtotal │
 848 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 849 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 850 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 851 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     11│      81│    30│        92│
 852 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 853 │Get stopped by the police?                    Very likely│    384│    552│      936│     14│     171│    65│       185│
 854 │                                              Somewhat   │    590│   1249│     1839│     20│     265│    92│       285│
 855 │                                              likely     │       │       │         │       │        │      │          │
 856 │                                              Somewhat   │    278│    647│      925│      6│     116│    38│       122│
 857 │                                              unlikely   │       │       │         │       │        │      │          │
 858 │                                              Very       │    141│    290│      431│      4│      59│    22│        63│
 859 │                                              unlikely   │       │       │         │       │        │      │          │
 860 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 861 ])
 862 AT_CLEANUP
 863
 864 AT_SETUP([CTABLES CLABELS])
 865 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 866 AT_DATA([ctables.sps],
 867 [[GET 'nhtsa.sav'.
 868 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
 869 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
 870 ]])
 871 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 872                                                       Custom Tables
 873 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
 874 │       │                                                 S3a. GENDER:                                                 │
 875 │       ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
 876 │       │                         Male                         │                         Female                        │
 877 │       ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
 878 │       │  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 │
 879 │       │ younger │   25  │  35  │  45  │  55  │   65  │ older │  younger │  25  │   35  │  45  │  55  │  65  │  older │
 880 │       ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 881 │       │  Count  │ Count │ Count│ Count│ Count│ Count │ Count │   Count  │ Count│ Count │ Count│ Count│ Count│  Count │
 882 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 883 │Age    │        0│    594│   476│   489│   526│    516│    531│         0│   505│    491│   548│   649│   731│     943│
 884 │group  │         │       │      │      │      │       │       │          │      │       │      │      │      │        │
 885 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
 886
 887                 Custom Tables
 888 ╭──────────────────────────────┬────────────╮
 889 │                              │S3a. GENDER:│
 890 │                              ├────────────┤
 891 │                              │    Count   │
 892 ├──────────────────────────────┼────────────┤
 893 │Age group 15 or younger Male  │           0│
 894 │                        Female│           0│
 895 │         ╶────────────────────┼────────────┤
 896 │          16 to 25      Male  │         594│
 897 │                        Female│         505│
 898 │         ╶────────────────────┼────────────┤
 899 │          26 to 35      Male  │         476│
 900 │                        Female│         491│
 901 │         ╶────────────────────┼────────────┤
 902 │          36 to 45      Male  │         489│
 903 │                        Female│         548│
 904 │         ╶────────────────────┼────────────┤
 905 │          46 to 55      Male  │         526│
 906 │                        Female│         649│
 907 │         ╶────────────────────┼────────────┤
 908 │          56 to 65      Male  │         516│
 909 │                        Female│         731│
 910 │         ╶────────────────────┼────────────┤
 911 │          66 or older   Male  │         531│
 912 │                        Female│         943│
 913 ╰──────────────────────────────┴────────────╯
 914 ])
 915 AT_CLEANUP