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 - PPROPERTIES:
  46 dnl   * )LABEL[N].
  47 dnl   * summary statistics and formats?
  48 dnl - HIDESMALLCOUNTS.
  49 dnl - Are string ranges a thing?
  50 dnl
  51 dnl Bug:
  52 dnl     CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
  53 dnl produces a bad median:
  54 dnl                     Custom Tables
  55 dnl +--------------------------+-----------------------+
  56 dnl |                          |      S3a. GENDER:     |
  57 dnl |                          +-----------+-----------+
  58 dnl |                          |    Male   |   Female  |
  59 dnl |                          +----+------+----+------+
  60 dnl |                          |Mean|Median|Mean|Median|
  61 dnl +--------------------------+----+------+----+------+
  62 dnl |D1. AGE: What is your age?|  46|   999|  50|   999|
  63 dnl +--------------------------+----+------+----+------+
  64
  65
  66
  67 # AT_SETUP([CTABLES parsing])
  68 # AT_DATA([ctables.sps],
  69 # [[DATA LIST LIST NOTABLE /x y z.
  70 # CTABLES /TABLE=(x + y) > z.
  71 # CTABLES /TABLE=(x[c] + y[c]) > z.
  72 # CTABLES /TABLE=(x + y) > z[c].
  73 # CTABLES /TABLE=x BY y BY z.
  74 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  75 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  76 # ]])
  77 # AT_CHECK([pspp ctables.sps])
  78 # AT_CLEANUP
  79
  80 AT_SETUP([CTABLES one categorical variable])
  81 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  82 AT_DATA([ctables.sps],
  83 [[GET 'nhtsa.sav'.
  84 CTABLES /TABLE qn1.
  85 CTABLES /TABLE BY qn1.
  86 CTABLES /TABLE BY BY qn1.
  87 ]])
  88 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
  89                                   Custom Tables
  90 ╭────────────────────────────────────────────────────────────────────────┬─────╮
  91 │                                                                        │Count│
  92 ├────────────────────────────────────────────────────────────────────────┼─────┤
  93 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
  94 │motor vehicle?                                     Several days a week  │ 1274│
  95 │                                                   Once a week or less  │  361│
  96 │                                                   Only certain times a │  130│
  97 │                                                   year                 │     │
  98 │                                                   Never                │  540│
  99 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 100
 101                                   Custom Tables
 102 ╭──────────────────────────────────────────────────────────────────────────────╮
 103 │        1. How often do you usually drive a car or other motor vehicle?       │
 104 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
 105 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
 106 │Every day│       week       │       less       │          year          │Never│
 107 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 108 │  Count  │       Count      │       Count      │          Count         │Count│
 109 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 110 │     4667│              1274│               361│                     130│  540│
 111 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
 112
 113 Custom Tables
 114 Every day
 115 ╭─────╮
 116 │Count│
 117 ├─────┤
 118 │ 4667│
 119 ╰─────╯
 120 ])
 121 AT_CLEANUP
 122
 123 AT_SETUP([CTABLES one scale variable])
 124 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 125 AT_DATA([ctables.sps],
 126 [[GET 'nhtsa.sav'.
 127 CTABLES /TABLE qnd1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM].
 128 CTABLES /TABLE BY qnd1.
 129 CTABLES /TABLE BY BY qnd1.
 130 ]])
 131 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 132                             Custom Tables
 133 ╭──────────────────────────┬─────┬────┬─────────────┬───────┬───────╮
 134 │                          │Count│Mean│Std Deviation│Minimum│Maximum│
 135 ├──────────────────────────┼─────┼────┼─────────────┼───────┼───────┤
 136 │D1. AGE: What is your age?│ 6930│  48│           19│     16│     86│
 137 ╰──────────────────────────┴─────┴────┴─────────────┴───────┴───────╯
 138
 139         Custom Tables
 140 ╭──────────────────────────╮
 141 │D1. AGE: What is your age?│
 142 ├──────────────────────────┤
 143 │           Mean           │
 144 ├──────────────────────────┤
 145 │                        48│
 146 ╰──────────────────────────╯
 147
 148 Custom Tables
 149 D1. AGE: What is your age?
 150 ╭────╮
 151 │Mean│
 152 ├────┤
 153 │  48│
 154 ╰────╯
 155 ])
 156 AT_CLEANUP
 157
 158 AT_SETUP([CTABLES simple stacking])
 159 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 160 AT_DATA([ctables.sps],
 161 [[GET 'nhtsa.sav'.
 162 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 163 ]])
 164 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 165                                   Custom Tables
 166 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 167 │                                                               │ S3a. GENDER: │
 168 │                                                               ├──────┬───────┤
 169 │                                                               │ Male │ Female│
 170 │                                                               ├──────┼───────┤
 171 │                                                               │Column│ Column│
 172 │                                                               │   %  │   %   │
 173 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 174 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 175 │too much to drink to drive safely will A. Get      certain     │      │       │
 176 │stopped by the police?                             Very likely │   21%│    22%│
 177 │                                                   Somewhat    │   38%│    42%│
 178 │                                                   likely      │      │       │
 179 │                                                   Somewhat    │   21%│    18%│
 180 │                                                   unlikely    │      │       │
 181 │                                                   Very        │   10%│     8%│
 182 │                                                   unlikely    │      │       │
 183 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 184 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 185 │too much to drink to drive safely will B. Have an  certain     │      │       │
 186 │accident?                                          Very likely │   36%│    45%│
 187 │                                                   Somewhat    │   39%│    32%│
 188 │                                                   likely      │      │       │
 189 │                                                   Somewhat    │    9%│     4%│
 190 │                                                   unlikely    │      │       │
 191 │                                                   Very        │    3%│     2%│
 192 │                                                   unlikely    │      │       │
 193 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 194 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 195 │too much to drink to drive safely will C. Be       certain     │      │       │
 196 │convicted for drunk driving?                       Very likely │   32%│    28%│
 197 │                                                   Somewhat    │   27%│    32%│
 198 │                                                   likely      │      │       │
 199 │                                                   Somewhat    │   15%│    15%│
 200 │                                                   unlikely    │      │       │
 201 │                                                   Very        │    9%│     9%│
 202 │                                                   unlikely    │      │       │
 203 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 204 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 205 │too much to drink to drive safely will D. Be       certain     │      │       │
 206 │arrested for drunk driving?                        Very likely │   26%│    27%│
 207 │                                                   Somewhat    │   32%│    35%│
 208 │                                                   likely      │      │       │
 209 │                                                   Somewhat    │   17%│    15%│
 210 │                                                   unlikely    │      │       │
 211 │                                                   Very        │    9%│     7%│
 212 │                                                   unlikely    │      │       │
 213 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 214 ])
 215 AT_CLEANUP
 216
 217 AT_SETUP([CTABLES show or hide empty categories])
 218 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 219 AT_DATA([ctables.sps],
 220 [[GET 'nhtsa.sav'.
 221 IF (qn105ba = 2) qn105ba = 1.
 222 IF (qns3a = 1) qns3a = 2.
 223 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 224 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 225     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 226 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 227     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 228 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 229     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 230 ]])
 231 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 232                                   Custom Tables
 233 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 234 │                                                              │  S3a. GENDER: │
 235 │                                                              ├───────┬───────┤
 236 │                                                              │  Male │ Female│
 237 │                                                              ├───────┼───────┤
 238 │                                                              │ Column│ Column│
 239 │                                                              │   %   │   %   │
 240 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 241 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 242 │too much to drink to drive safely will A. Get      certain    │       │       │
 243 │stopped by the police?                             Very likely│      .│     0%│
 244 │                                                   Somewhat   │      .│    40%│
 245 │                                                   likely     │       │       │
 246 │                                                   Somewhat   │      .│    19%│
 247 │                                                   unlikely   │       │       │
 248 │                                                   Very       │      .│     9%│
 249 │                                                   unlikely   │       │       │
 250 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 251
 252                                   Custom Tables
 253 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 254 │                                                              │  S3a. GENDER: │
 255 │                                                              ├───────┬───────┤
 256 │                                                              │  Male │ Female│
 257 │                                                              ├───────┼───────┤
 258 │                                                              │ Column│ Column│
 259 │                                                              │   %   │   %   │
 260 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 261 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 262 │too much to drink to drive safely will A. Get      certain    │       │       │
 263 │stopped by the police?                             Somewhat   │      .│    40%│
 264 │                                                   likely     │       │       │
 265 │                                                   Somewhat   │      .│    19%│
 266 │                                                   unlikely   │       │       │
 267 │                                                   Very       │      .│     9%│
 268 │                                                   unlikely   │       │       │
 269 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 270
 271                                   Custom Tables
 272 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 273 │                                                                    │   S3a.  │
 274 │                                                                    │ GENDER: │
 275 │                                                                    ├─────────┤
 276 │                                                                    │  Female │
 277 │                                                                    ├─────────┤
 278 │                                                                    │ Column %│
 279 ├────────────────────────────────────────────────────────────────────┼─────────┤
 280 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 281 │much to drink to drive safely will A. Get stopped by    certain     │         │
 282 │the police?                                             Very likely │       0%│
 283 │                                                        Somewhat    │      40%│
 284 │                                                        likely      │         │
 285 │                                                        Somewhat    │      19%│
 286 │                                                        unlikely    │         │
 287 │                                                        Very        │       9%│
 288 │                                                        unlikely    │         │
 289 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 290
 291                                   Custom Tables
 292 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 293 │                                                                    │   S3a.  │
 294 │                                                                    │ GENDER: │
 295 │                                                                    ├─────────┤
 296 │                                                                    │  Female │
 297 │                                                                    ├─────────┤
 298 │                                                                    │ Column %│
 299 ├────────────────────────────────────────────────────────────────────┼─────────┤
 300 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 301 │much to drink to drive safely will A. Get stopped by    certain     │         │
 302 │the police?                                             Somewhat    │      40%│
 303 │                                                        likely      │         │
 304 │                                                        Somewhat    │      19%│
 305 │                                                        unlikely    │         │
 306 │                                                        Very        │       9%│
 307 │                                                        unlikely    │         │
 308 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 309 ])
 310 AT_CLEANUP
 311
 312 AT_SETUP([CTABLES simple nesting])
 313 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 314 AT_DATA([ctables.sps],
 315 [[GET 'nhtsa.sav'.
 316 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 317   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 318 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 319   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 320   /CLABELS ROW=OPPOSITE.
 321 ]])
 322 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 323                                   Custom Tables
 324 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 325 │                                                                 │     │ Table│
 326 │                                                                 │Count│   %  │
 327 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 328 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 329 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 330 │drive safely will A. Get stopped by                        Total │  700│   10%│
 331 │the police?                           ╶──────────────────────────┼─────┼──────┤
 332 │                                       Very       S3a.     Male  │  660│   10%│
 333 │                                       likely     GENDER:  Female│  842│   12%│
 334 │                                                           Total │ 1502│   22%│
 335 │                                      ╶──────────────────────────┼─────┼──────┤
 336 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 337 │                                       likely     GENDER:  Female│ 1589│   23%│
 338 │                                                           Total │ 2763│   40%│
 339 │                                      ╶──────────────────────────┼─────┼──────┤
 340 │                                       Somewhat   S3a.     Male  │  640│    9%│
 341 │                                       unlikely   GENDER:  Female│  667│   10%│
 342 │                                                           Total │ 1307│   19%│
 343 │                                      ╶──────────────────────────┼─────┼──────┤
 344 │                                       Very       S3a.     Male  │  311│    5%│
 345 │                                       unlikely   GENDER:  Female│  298│    4%│
 346 │                                                           Total │  609│    9%│
 347 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 348 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 349 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 350 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 351 │                                      ╶──────────────────────────┼─────┼──────┤
 352 │                                       Very       S3a.     Male  │ 1104│   16%│
 353 │                                       likely     GENDER:  Female│ 1715│   25%│
 354 │                                                           Total │ 2819│   41%│
 355 │                                      ╶──────────────────────────┼─────┼──────┤
 356 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 357 │                                       likely     GENDER:  Female│ 1214│   18%│
 358 │                                                           Total │ 2417│   35%│
 359 │                                      ╶──────────────────────────┼─────┼──────┤
 360 │                                       Somewhat   S3a.     Male  │  262│    4%│
 361 │                                       unlikely   GENDER:  Female│  168│    2%│
 362 │                                                           Total │  430│    6%│
 363 │                                      ╶──────────────────────────┼─────┼──────┤
 364 │                                       Very       S3a.     Male  │   81│    1%│
 365 │                                       unlikely   GENDER:  Female│   59│    1%│
 366 │                                                           Total │  140│    2%│
 367 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 368 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 369 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 370 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 371 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 372 │                                       Very       S3a.     Male  │  988│   14%│
 373 │                                       likely     GENDER:  Female│ 1049│   15%│
 374 │                                                           Total │ 2037│   30%│
 375 │                                      ╶──────────────────────────┼─────┼──────┤
 376 │                                       Somewhat   S3a.     Male  │  822│   12%│
 377 │                                       likely     GENDER:  Female│ 1210│   18%│
 378 │                                                           Total │ 2032│   30%│
 379 │                                      ╶──────────────────────────┼─────┼──────┤
 380 │                                       Somewhat   S3a.     Male  │  446│    7%│
 381 │                                       unlikely   GENDER:  Female│  548│    8%│
 382 │                                                           Total │  994│   15%│
 383 │                                      ╶──────────────────────────┼─────┼──────┤
 384 │                                       Very       S3a.     Male  │  268│    4%│
 385 │                                       unlikely   GENDER:  Female│  354│    5%│
 386 │                                                           Total │  622│    9%│
 387 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 388 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 389 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 390 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 391 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 392 │                                       Very       S3a.     Male  │  805│   12%│
 393 │                                       likely     GENDER:  Female│ 1029│   15%│
 394 │                                                           Total │ 1834│   27%│
 395 │                                      ╶──────────────────────────┼─────┼──────┤
 396 │                                       Somewhat   S3a.     Male  │  975│   14%│
 397 │                                       likely     GENDER:  Female│ 1332│   19%│
 398 │                                                           Total │ 2307│   34%│
 399 │                                      ╶──────────────────────────┼─────┼──────┤
 400 │                                       Somewhat   S3a.     Male  │  535│    8%│
 401 │                                       unlikely   GENDER:  Female│  560│    8%│
 402 │                                                           Total │ 1095│   16%│
 403 │                                      ╶──────────────────────────┼─────┼──────┤
 404 │                                       Very       S3a.     Male  │  270│    4%│
 405 │                                       unlikely   GENDER:  Female│  279│    4%│
 406 │                                                           Total │  549│    8%│
 407 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 408
 409                                   Custom Tables
 410 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 411 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 412 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 413 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 414 │                                 │        │ Table│         │         │        │
 415 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 416 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 417 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 418 │GENDER:        is it that drivers│        │      │         │         │        │
 419 │               who have had too  │        │      │         │         │        │
 420 │               much to drink to  │        │      │         │         │        │
 421 │               drive safely will │        │      │         │         │        │
 422 │               A. Get stopped by │        │      │         │         │        │
 423 │               the police?       │        │      │         │         │        │
 424 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 425 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 426 │               is it that drivers│        │      │         │         │        │
 427 │               who have had too  │        │      │         │         │        │
 428 │               much to drink to  │        │      │         │         │        │
 429 │               drive safely will │        │      │         │         │        │
 430 │               A. Get stopped by │        │      │         │         │        │
 431 │               the police?       │        │      │         │         │        │
 432 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 433 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 434 │               is it that drivers│        │      │         │         │        │
 435 │               who have had too  │        │      │         │         │        │
 436 │               much to drink to  │        │      │         │         │        │
 437 │               drive safely will │        │      │         │         │        │
 438 │               A. Get stopped by │        │      │         │         │        │
 439 │               the police?       │        │      │         │         │        │
 440 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 441 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 442 │GENDER:        is it that drivers│        │      │         │         │        │
 443 │               who have had too  │        │      │         │         │        │
 444 │               much to drink to  │        │      │         │         │        │
 445 │               drive safely will │        │      │         │         │        │
 446 │               B. Have an        │        │      │         │         │        │
 447 │               accident?         │        │      │         │         │        │
 448 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 449 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 450 │               is it that drivers│        │      │         │         │        │
 451 │               who have had too  │        │      │         │         │        │
 452 │               much to drink to  │        │      │         │         │        │
 453 │               drive safely will │        │      │         │         │        │
 454 │               B. Have an        │        │      │         │         │        │
 455 │               accident?         │        │      │         │         │        │
 456 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 457 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 458 │               is it that drivers│        │      │         │         │        │
 459 │               who have had too  │        │      │         │         │        │
 460 │               much to drink to  │        │      │         │         │        │
 461 │               drive safely will │        │      │         │         │        │
 462 │               B. Have an        │        │      │         │         │        │
 463 │               accident?         │        │      │         │         │        │
 464 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 465 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 466 │GENDER:        is it that drivers│        │      │         │         │        │
 467 │               who have had too  │        │      │         │         │        │
 468 │               much to drink to  │        │      │         │         │        │
 469 │               drive safely will │        │      │         │         │        │
 470 │               C. Be convicted   │        │      │         │         │        │
 471 │               for drunk driving?│        │      │         │         │        │
 472 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 473 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 474 │               is it that drivers│        │      │         │         │        │
 475 │               who have had too  │        │      │         │         │        │
 476 │               much to drink to  │        │      │         │         │        │
 477 │               drive safely will │        │      │         │         │        │
 478 │               C. Be convicted   │        │      │         │         │        │
 479 │               for drunk driving?│        │      │         │         │        │
 480 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 481 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 482 │               is it that drivers│        │      │         │         │        │
 483 │               who have had too  │        │      │         │         │        │
 484 │               much to drink to  │        │      │         │         │        │
 485 │               drive safely will │        │      │         │         │        │
 486 │               C. Be convicted   │        │      │         │         │        │
 487 │               for drunk driving?│        │      │         │         │        │
 488 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 489 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 490 │GENDER:        is it that drivers│        │      │         │         │        │
 491 │               who have had too  │        │      │         │         │        │
 492 │               much to drink to  │        │      │         │         │        │
 493 │               drive safely will │        │      │         │         │        │
 494 │               D. Be arrested for│        │      │         │         │        │
 495 │               drunk driving?    │        │      │         │         │        │
 496 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 497 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 498 │               is it that drivers│        │      │         │         │        │
 499 │               who have had too  │        │      │         │         │        │
 500 │               much to drink to  │        │      │         │         │        │
 501 │               drive safely will │        │      │         │         │        │
 502 │               D. Be arrested for│        │      │         │         │        │
 503 │               drunk driving?    │        │      │         │         │        │
 504 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 505 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 506 │               is it that drivers│        │      │         │         │        │
 507 │               who have had too  │        │      │         │         │        │
 508 │               much to drink to  │        │      │         │         │        │
 509 │               drive safely will │        │      │         │         │        │
 510 │               D. Be arrested for│        │      │         │         │        │
 511 │               drunk driving?    │        │      │         │         │        │
 512 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 513 ])
 514 AT_CLEANUP
 515
 516 AT_SETUP([CTABLES nesting and scale variables])
 517 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 518 AT_DATA([ctables.sps],
 519 [[GET 'nhtsa.sav'.
 520 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 521 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 522 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 523   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 524 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 525 ]])
 526 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 527                                   Custom Tables
 528 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 529 │                                                                 │S3a. GENDER:│
 530 │                                                                 ├─────┬──────┤
 531 │                                                                 │ Male│Female│
 532 │                                                                 ├─────┼──────┤
 533 │                                                                 │ Mean│ Mean │
 534 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 535 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 536 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 537 │                                                  week           │     │      │
 538 │                                                  Once a week or │   44│    54│
 539 │                                                  less           │     │      │
 540 │                                                  Only certain   │   34│    41│
 541 │                                                  times a year   │     │      │
 542 │                                                  Never          │   39│    55│
 543 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 544
 545                                   Custom Tables
 546 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 547 │                                                         │Minimum│Maximum│Mean│
 548 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 549 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 550 │What is  GENDER:         months, has there been a        │       │       │    │
 551 │your                     time when you felt you          │       │       │    │
 552 │age?                     should cut down on your      No │     16│     86│  46│
 553 │                         drinking?                       │       │       │    │
 554 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 555 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 556 │                         months, has there been a        │       │       │    │
 557 │                         time when you felt you          │       │       │    │
 558 │                         should cut down on your      No │     16│     86│  48│
 559 │                         drinking?                       │       │       │    │
 560 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 561 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 562 │What is  GENDER:         months, has there been a        │       │       │    │
 563 │your                     time when people criticized  No │     16│     86│  46│
 564 │age?                     your drinking?                  │       │       │    │
 565 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 566 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 567 │                         months, has there been a        │       │       │    │
 568 │                         time when people criticized  No │     16│     86│  48│
 569 │                         your drinking?                  │       │       │    │
 570 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 571
 572                                   Custom Tables
 573 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 574 │                             │S1. Including yourself, how many members of this│
 575 │                             │         household are age 16 or older?         │
 576 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 577 │                             │      │      │      │      │      │      │ 6 or │
 578 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 579 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 580 │                             │Column│Column│Column│Column│Column│Column│Column│
 581 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 582 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 583 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 584 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 585 │SOURCE:     likely           │      │      │      │      │      │      │      │
 586 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 587 │            that     likely  │      │      │      │      │      │      │      │
 588 │            drivers          │      │      │      │      │      │      │      │
 589 │            who have         │      │      │      │      │      │      │      │
 590 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 591 │            much to  likely  │      │      │      │      │      │      │      │
 592 │            drink to         │      │      │      │      │      │      │      │
 593 │            drive            │      │      │      │      │      │      │      │
 594 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 595 │            will A.  unlikely│      │      │      │      │      │      │      │
 596 │            Get              │      │      │      │      │      │      │      │
 597 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 598 │            by the   unlikely│      │      │      │      │      │      │      │
 599 │            police?          │      │      │      │      │      │      │      │
 600 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 601
 602                                   Custom Tables
 603 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 604 │                                                              │    │    Std   │
 605 │                                                              │Mean│ Deviation│
 606 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 607 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 608 │group           typical month did you have one or more        │    │          │
 609 │                alcoholic beverages to drink?                 │    │          │
 610 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 611 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 612 │                typical month did you have one or more        │    │          │
 613 │                alcoholic beverages to drink?                 │    │          │
 614 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 615 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 616 │                typical month did you have one or more        │    │          │
 617 │                alcoholic beverages to drink?                 │    │          │
 618 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 619 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 620 │                typical month did you have one or more        │    │          │
 621 │                alcoholic beverages to drink?                 │    │          │
 622 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 623 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 624 │                typical month did you have one or more        │    │          │
 625 │                alcoholic beverages to drink?                 │    │          │
 626 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 627 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 628 │       older    typical month did you have one or more        │    │          │
 629 │                alcoholic beverages to drink?                 │    │          │
 630 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 631 ])
 632 AT_CLEANUP
 633
 634
 635 AT_SETUP([CTABLES SLABELS])
 636 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 637 AT_DATA([ctables.sps],
 638 [[GET 'nhtsa.sav'.
 639 CTABLES /TABLE qn1 [COUNT COLPCT].
 640 CTABLES /TABLE qn1 [COUNT COLPCT]
 641     /SLABELS POSITION=ROW.
 642 CTABLES /TABLE qn1 [COUNT COLPCT]
 643     /SLABELS POSITION=ROW VISIBLE=NO.
 644 ]])
 645 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 646                                   Custom Tables
 647 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 648 │                                                                │     │ Column│
 649 │                                                                │Count│   %   │
 650 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 651 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 652 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 653 │                                             Once a week or less│  361│   5.2%│
 654 │                                             Only certain times │  130│   1.9%│
 655 │                                             a year             │     │       │
 656 │                                             Never              │  540│   7.7%│
 657 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 658
 659                                   Custom Tables
 660 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 661 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 662 │other motor vehicle?                                             Column │66.9%│
 663 │                                                                 %      │     │
 664 │                                            ╶───────────────────────────┼─────┤
 665 │                                             Several days a week Count  │ 1274│
 666 │                                                                 Column │18.3%│
 667 │                                                                 %      │     │
 668 │                                            ╶───────────────────────────┼─────┤
 669 │                                             Once a week or less Count  │  361│
 670 │                                                                 Column │ 5.2%│
 671 │                                                                 %      │     │
 672 │                                            ╶───────────────────────────┼─────┤
 673 │                                             Only certain times  Count  │  130│
 674 │                                             a year              Column │ 1.9%│
 675 │                                                                 %      │     │
 676 │                                            ╶───────────────────────────┼─────┤
 677 │                                             Never               Count  │  540│
 678 │                                                                 Column │ 7.7%│
 679 │                                                                 %      │     │
 680 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 681
 682                                   Custom Tables
 683 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 684 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 685 │motor vehicle?                                                          │66.9%│
 686 │                                                   Several days a week  │ 1274│
 687 │                                                                        │18.3%│
 688 │                                                   Once a week or less  │  361│
 689 │                                                                        │ 5.2%│
 690 │                                                   Only certain times a │  130│
 691 │                                                   year                 │ 1.9%│
 692 │                                                   Never                │  540│
 693 │                                                                        │ 7.7%│
 694 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 695 ])
 696 AT_CLEANUP
 697
 698 AT_SETUP([CTABLES simple totals])
 699 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 700 AT_DATA([ctables.sps],
 701 [[GET 'nhtsa.sav'.
 702 CTABLES /TABLE=qn17
 703     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 704 CTABLES /TABLE=region > qn18 [MEAN, COUNT]
 705     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 706 ]])
 707 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 708                                   Custom Tables
 709 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 710 │                                                                        │Count│
 711 ├────────────────────────────────────────────────────────────────────────┼─────┤
 712 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 713 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 714 │                                                      Light beer        │  620│
 715 │                                                      Wine              │ 1418│
 716 │                                                      Wine coolers      │  137│
 717 │                                                      Hard liquor or    │  888│
 718 │                                                      mixed drinks      │     │
 719 │                                                      Flavored malt     │   83│
 720 │                                                      drinks            │     │
 721 │                                                      Number responding │ 4221│
 722 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 723
 724                                   Custom Tables
 725 ╭───────────────────────────────────────────────────────────────────┬────┬─────╮
 726 │                                                                   │Mean│Count│
 727 ├───────────────────────────────────────────────────────────────────┼────┼─────┤
 728 │Region NE       18. When you drink ANSWERFROM(QN17R1), about how   │4.36│  949│
 729 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 730 │                sitting?                                           │    │     │
 731 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 732 │       MW       18. When you drink ANSWERFROM(QN17R1), about how   │4.67│ 1027│
 733 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 734 │                sitting?                                           │    │     │
 735 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 736 │       S        18. When you drink ANSWERFROM(QN17R1), about how   │4.71│ 1287│
 737 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 738 │                sitting?                                           │    │     │
 739 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 740 │       W        18. When you drink ANSWERFROM(QN17R1), about how   │4.69│  955│
 741 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 742 │                sitting?                                           │    │     │
 743 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 744 │       All      18. When you drink ANSWERFROM(QN17R1), about how   │4.62│ 4218│
 745 │       regions  many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 746 │                sitting?                                           │    │     │
 747 ╰───────────────────────────────────────────────────────────────────┴────┴─────╯
 748 ])
 749 AT_CLEANUP
 750
 751 AT_SETUP([CTABLES subtotals])
 752 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 753 AT_DATA([ctables.sps],
 754 [[GET 'nhtsa.sav'.
 755 CTABLES /TABLE=qn105ba BY qns1
 756     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 757 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 758     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 759 CTABLES /TABLE=qn105ba BY qns1
 760     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 761     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 762 ]])
 763 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 764                                                       Custom Tables
 765 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 766 │                                                         │ S1. Including yourself, how many members of this household │
 767 │                                                         │                    are age 16 or older?                    │
 768 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 769 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 770 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 771 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 772 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 773 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 774 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 775 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 776 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 777 │                                              likely     │       │       │         │       │        │      │          │
 778 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 779 │                                              unlikely   │       │       │         │       │        │      │          │
 780 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 781 │                                              unlikely   │       │       │         │       │        │      │          │
 782 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 783
 784                                                       Custom Tables
 785 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 786 │                                                        │  S1. Including yourself, how many members of this household │
 787 │                                                        │                     are age 16 or older?                    │
 788 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 789 │                                                        │        │        │        │        │       │        │  6 or  │
 790 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 791 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 792 │                                                        │        │        │        │        │ Column│        │        │
 793 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 794 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 795 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 796 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 797 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 798 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 799 │                                             likely     │        │        │        │        │       │        │        │
 800 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 801 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 802 │                                             unlikely   │        │        │        │        │       │        │        │
 803 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 804 │                                             unlikely   │        │        │        │        │       │        │        │
 805 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 806 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 807
 808                                                       Custom Tables
 809 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 810 │                                                         │ S1. Including yourself, how many members of this household │
 811 │                                                         │                    are age 16 or older?                    │
 812 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 813 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 814 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 815 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 816 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 817 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 818 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 819 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 820 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 821 │                                              likely     │       │       │         │       │        │      │          │
 822 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 823 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 824 │                                              unlikely   │       │       │         │       │        │      │          │
 825 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 826 │                                              unlikely   │       │       │         │       │        │      │          │
 827 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 828 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 829 ])
 830 AT_CLEANUP
 831
 832 AT_SETUP([CTABLES PCOMPUTE])
 833 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 834 AT_DATA([ctables.sps],
 835 [[GET 'nhtsa.sav'.
 836 CTABLES
 837     /PCOMPUTE &x=EXPR([3] + [4])
 838     /PCOMPUTE &y=EXPR([4] + [5])
 839     /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES
 840     /PPROPERTIES &y LABEL='4+5'
 841     /TABLE=qn105ba BY qns1
 842     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
 843 ]])
 844 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 845                                                       Custom Tables
 846 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 847 │                                                         │ S1. Including yourself, how many members of this household │
 848 │                                                         │                    are age 16 or older?                    │
 849 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 850 │                                                         │   1   │   2   │ Subtotal│   5   │   3+4  │  4+5 │ Subtotal │
 851 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 852 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 853 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 854 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     11│      81│    30│        92│
 855 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 856 │Get stopped by the police?                    Very likely│    384│    552│      936│     14│     171│    65│       185│
 857 │                                              Somewhat   │    590│   1249│     1839│     20│     265│    92│       285│
 858 │                                              likely     │       │       │         │       │        │      │          │
 859 │                                              Somewhat   │    278│    647│      925│      6│     116│    38│       122│
 860 │                                              unlikely   │       │       │         │       │        │      │          │
 861 │                                              Very       │    141│    290│      431│      4│      59│    22│        63│
 862 │                                              unlikely   │       │       │         │       │        │      │          │
 863 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 864 ])
 865 AT_CLEANUP
 866
 867 AT_SETUP([CTABLES CLABELS])
 868 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 869 AT_DATA([ctables.sps],
 870 [[GET 'nhtsa.sav'.
 871 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
 872 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
 873 ]])
 874 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 875                                                       Custom Tables
 876 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
 877 │       │                                                 S3a. GENDER:                                                 │
 878 │       ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
 879 │       │                         Male                         │                         Female                        │
 880 │       ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
 881 │       │  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 │
 882 │       │ younger │   25  │  35  │  45  │  55  │   65  │ older │  younger │  25  │   35  │  45  │  55  │  65  │  older │
 883 │       ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 884 │       │  Count  │ Count │ Count│ Count│ Count│ Count │ Count │   Count  │ Count│ Count │ Count│ Count│ Count│  Count │
 885 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 886 │Age    │        0│    594│   476│   489│   526│    516│    531│         0│   505│    491│   548│   649│   731│     943│
 887 │group  │         │       │      │      │      │       │       │          │      │       │      │      │      │        │
 888 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
 889
 890                 Custom Tables
 891 ╭──────────────────────────────┬────────────╮
 892 │                              │S3a. GENDER:│
 893 │                              ├────────────┤
 894 │                              │    Count   │
 895 ├──────────────────────────────┼────────────┤
 896 │Age group 15 or younger Male  │           0│
 897 │                        Female│           0│
 898 │         ╶────────────────────┼────────────┤
 899 │          16 to 25      Male  │         594│
 900 │                        Female│         505│
 901 │         ╶────────────────────┼────────────┤
 902 │          26 to 35      Male  │         476│
 903 │                        Female│         491│
 904 │         ╶────────────────────┼────────────┤
 905 │          36 to 45      Male  │         489│
 906 │                        Female│         548│
 907 │         ╶────────────────────┼────────────┤
 908 │          46 to 55      Male  │         526│
 909 │                        Female│         649│
 910 │         ╶────────────────────┼────────────┤
 911 │          56 to 65      Male  │         516│
 912 │                        Female│         731│
 913 │         ╶────────────────────┼────────────┤
 914 │          66 or older   Male  │         531│
 915 │                        Female│         943│
 916 ╰──────────────────────────────┴────────────╯
 917 ])
 918 AT_CLEANUP