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

   1 AT_BANNER([CTABLES])
   2
   3 dnl Features not yet implemented:
   4 dnl
   5 dnl - Date/time variables and values
   6 dnl - SPLIT FILE with SEPARATE splits
   7 dnl - Definition of columns/rows when labels are rotated from one axis to another.
   8 dnl - Preprocessing to distinguish categorical from scale.
   9 dnl - )CILEVEL in summary specifications
  10 dnl - Summary functions:
  11 dnl   * Unimplemented ones.
  12 dnl   * U-prefix for unweighted summaries.
  13 dnl   * .LCL and .UCL suffixes.
  14 dnl   * .SE suffixes.
  15 dnl   * Separate summary functions for totals and subtotals.
  16 dnl - CATEGORIES:
  17 dnl   * String values
  18 dnl   * Date values
  19 dnl   * Data-dependent sorting.
  20 dnl - TITLES: )DATE, )TIME, )TABLE.
  21 dnl - SMISSING (see documentation).
  22 dnl - PCOMPUTE:
  23 dnl   * multi-dimensional
  24 dnl   * MISSING, OTHERNM
  25 dnl   * strings
  26 dnl - PPROPERTIES:
  27 dnl   * )LABEL[N].
  28 dnl   * summary statistics and formats?
  29 dnl - Are string ranges a thing?
  30 dnl
  31 dnl Features not yet tested:
  32 dnl - Parsing (positive and negative)
  33 dnl - String variables and values
  34 dnl - Testing details of missing value handling in summaries.
  35 dnl - test CLABELS ROWLABELS=LAYER.
  36 dnl - Test VLABELS.
  37 dnl - Test WEIGHT and adjustment weights.
  38 dnl - Test PCOMPUTE and PPROPERTIES.
  39 dnl - CATEGORIES:
  40 dnl   * THRU
  41 dnl   * OTHERNM
  42 dnl - FORMAT:
  43 dnl   * MINCOLWIDTH, MAXCOLWIDTH, UNITS.
  44 dnl   * EMPTY.
  45 dnl   * MISSING.
  46 dnl - HIDESMALLCOUNTS.
  47 dnl - Special formats for summary functions: NEGPAREN, NEQUAL, PAREN, PCTPAREN.
  48 dnl
  49 dnl Not for v1:
  50 dnl - Multiple response sets
  51 dnl - MRSETS subcommand.
  52 dnl - CATEGORIES: Special case for explicit category specifications and multiple dichotomy sets.
  53 dnl - SIGTEST
  54 dnl - COMPARETEST
  55 dnl
  56 dnl
  57 dnl Bug:
  58 dnl     CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
  59 dnl produces a bad median:
  60 dnl                     Custom Tables
  61 dnl +--------------------------+-----------------------+
  62 dnl |                          |      S3a. GENDER:     |
  63 dnl |                          +-----------+-----------+
  64 dnl |                          |    Male   |   Female  |
  65 dnl |                          +----+------+----+------+
  66 dnl |                          |Mean|Median|Mean|Median|
  67 dnl +--------------------------+----+------+----+------+
  68 dnl |D1. AGE: What is your age?|  46|   999|  50|   999|
  69 dnl +--------------------------+----+------+----+------+
  70
  71
  72
  73 # AT_SETUP([CTABLES parsing])
  74 # AT_DATA([ctables.sps],
  75 # [[DATA LIST LIST NOTABLE /x y z.
  76 # CTABLES /TABLE=(x + y) > z.
  77 # CTABLES /TABLE=(x[c] + y[c]) > z.
  78 # CTABLES /TABLE=(x + y) > z[c].
  79 # CTABLES /TABLE=x BY y BY z.
  80 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  81 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  82 # ]])
  83 # AT_CHECK([pspp ctables.sps])
  84 # AT_CLEANUP
  85
  86 AT_SETUP([CTABLES one categorical variable])
  87 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  88 AT_DATA([ctables.sps],
  89 [[GET 'nhtsa.sav'.
  90 CTABLES /TABLE qn1.
  91 CTABLES /TABLE BY qn1.
  92 CTABLES /TABLE BY BY qn1.
  93 ]])
  94 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
  95                                   Custom Tables
  96 ╭────────────────────────────────────────────────────────────────────────┬─────╮
  97 │                                                                        │Count│
  98 ├────────────────────────────────────────────────────────────────────────┼─────┤
  99 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 100 │motor vehicle?                                     Several days a week  │ 1274│
 101 │                                                   Once a week or less  │  361│
 102 │                                                   Only certain times a │  130│
 103 │                                                   year                 │     │
 104 │                                                   Never                │  540│
 105 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 106
 107                                   Custom Tables
 108 ╭──────────────────────────────────────────────────────────────────────────────╮
 109 │        1. How often do you usually drive a car or other motor vehicle?       │
 110 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
 111 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
 112 │Every day│       week       │       less       │          year          │Never│
 113 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 114 │  Count  │       Count      │       Count      │          Count         │Count│
 115 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 116 │     4667│              1274│               361│                     130│  540│
 117 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
 118
 119 Custom Tables
 120 Every day
 121 ╭─────╮
 122 │Count│
 123 ├─────┤
 124 │ 4667│
 125 ╰─────╯
 126 ])
 127 AT_CLEANUP
 128
 129 AT_SETUP([CTABLES one scale variable])
 130 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 131 AT_DATA([ctables.sps],
 132 [[GET 'nhtsa.sav'.
 133 CTABLES /TABLE qnd1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM].
 134 CTABLES /TABLE BY qnd1.
 135 CTABLES /TABLE BY BY qnd1.
 136 ]])
 137 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 138                             Custom Tables
 139 ╭──────────────────────────┬─────┬────┬─────────────┬───────┬───────╮
 140 │                          │Count│Mean│Std Deviation│Minimum│Maximum│
 141 ├──────────────────────────┼─────┼────┼─────────────┼───────┼───────┤
 142 │D1. AGE: What is your age?│ 6930│  48│           19│     16│     86│
 143 ╰──────────────────────────┴─────┴────┴─────────────┴───────┴───────╯
 144
 145         Custom Tables
 146 ╭──────────────────────────╮
 147 │D1. AGE: What is your age?│
 148 ├──────────────────────────┤
 149 │           Mean           │
 150 ├──────────────────────────┤
 151 │                        48│
 152 ╰──────────────────────────╯
 153
 154 Custom Tables
 155 D1. AGE: What is your age?
 156 ╭────╮
 157 │Mean│
 158 ├────┤
 159 │  48│
 160 ╰────╯
 161 ])
 162 AT_CLEANUP
 163
 164 AT_SETUP([CTABLES simple stacking])
 165 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 166 AT_DATA([ctables.sps],
 167 [[GET 'nhtsa.sav'.
 168 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 169 ]])
 170 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 171                                   Custom Tables
 172 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 173 │                                                               │ S3a. GENDER: │
 174 │                                                               ├──────┬───────┤
 175 │                                                               │ Male │ Female│
 176 │                                                               ├──────┼───────┤
 177 │                                                               │Column│ Column│
 178 │                                                               │   %  │   %   │
 179 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 180 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 181 │too much to drink to drive safely will A. Get      certain     │      │       │
 182 │stopped by the police?                             Very likely │   21%│    22%│
 183 │                                                   Somewhat    │   38%│    42%│
 184 │                                                   likely      │      │       │
 185 │                                                   Somewhat    │   21%│    18%│
 186 │                                                   unlikely    │      │       │
 187 │                                                   Very        │   10%│     8%│
 188 │                                                   unlikely    │      │       │
 189 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 190 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 191 │too much to drink to drive safely will B. Have an  certain     │      │       │
 192 │accident?                                          Very likely │   36%│    45%│
 193 │                                                   Somewhat    │   39%│    32%│
 194 │                                                   likely      │      │       │
 195 │                                                   Somewhat    │    9%│     4%│
 196 │                                                   unlikely    │      │       │
 197 │                                                   Very        │    3%│     2%│
 198 │                                                   unlikely    │      │       │
 199 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 200 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 201 │too much to drink to drive safely will C. Be       certain     │      │       │
 202 │convicted for drunk driving?                       Very likely │   32%│    28%│
 203 │                                                   Somewhat    │   27%│    32%│
 204 │                                                   likely      │      │       │
 205 │                                                   Somewhat    │   15%│    15%│
 206 │                                                   unlikely    │      │       │
 207 │                                                   Very        │    9%│     9%│
 208 │                                                   unlikely    │      │       │
 209 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 210 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 211 │too much to drink to drive safely will D. Be       certain     │      │       │
 212 │arrested for drunk driving?                        Very likely │   26%│    27%│
 213 │                                                   Somewhat    │   32%│    35%│
 214 │                                                   likely      │      │       │
 215 │                                                   Somewhat    │   17%│    15%│
 216 │                                                   unlikely    │      │       │
 217 │                                                   Very        │    9%│     7%│
 218 │                                                   unlikely    │      │       │
 219 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 220 ])
 221 AT_CLEANUP
 222
 223 AT_SETUP([CTABLES show or hide empty categories])
 224 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 225 AT_DATA([ctables.sps],
 226 [[GET 'nhtsa.sav'.
 227 IF (qn105ba = 2) qn105ba = 1.
 228 IF (qns3a = 1) qns3a = 2.
 229 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 230 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 231     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 232 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 233     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 234 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 235     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 236 ]])
 237 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 238                                   Custom Tables
 239 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 240 │                                                              │  S3a. GENDER: │
 241 │                                                              ├───────┬───────┤
 242 │                                                              │  Male │ Female│
 243 │                                                              ├───────┼───────┤
 244 │                                                              │ Column│ Column│
 245 │                                                              │   %   │   %   │
 246 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 247 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 248 │too much to drink to drive safely will A. Get      certain    │       │       │
 249 │stopped by the police?                             Very likely│      .│     0%│
 250 │                                                   Somewhat   │      .│    40%│
 251 │                                                   likely     │       │       │
 252 │                                                   Somewhat   │      .│    19%│
 253 │                                                   unlikely   │       │       │
 254 │                                                   Very       │      .│     9%│
 255 │                                                   unlikely   │       │       │
 256 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 257
 258                                   Custom Tables
 259 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 260 │                                                              │  S3a. GENDER: │
 261 │                                                              ├───────┬───────┤
 262 │                                                              │  Male │ Female│
 263 │                                                              ├───────┼───────┤
 264 │                                                              │ Column│ Column│
 265 │                                                              │   %   │   %   │
 266 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 267 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 268 │too much to drink to drive safely will A. Get      certain    │       │       │
 269 │stopped by the police?                             Somewhat   │      .│    40%│
 270 │                                                   likely     │       │       │
 271 │                                                   Somewhat   │      .│    19%│
 272 │                                                   unlikely   │       │       │
 273 │                                                   Very       │      .│     9%│
 274 │                                                   unlikely   │       │       │
 275 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 276
 277                                   Custom Tables
 278 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 279 │                                                                    │   S3a.  │
 280 │                                                                    │ GENDER: │
 281 │                                                                    ├─────────┤
 282 │                                                                    │  Female │
 283 │                                                                    ├─────────┤
 284 │                                                                    │ Column %│
 285 ├────────────────────────────────────────────────────────────────────┼─────────┤
 286 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 287 │much to drink to drive safely will A. Get stopped by    certain     │         │
 288 │the police?                                             Very likely │       0%│
 289 │                                                        Somewhat    │      40%│
 290 │                                                        likely      │         │
 291 │                                                        Somewhat    │      19%│
 292 │                                                        unlikely    │         │
 293 │                                                        Very        │       9%│
 294 │                                                        unlikely    │         │
 295 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 296
 297                                   Custom Tables
 298 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 299 │                                                                    │   S3a.  │
 300 │                                                                    │ GENDER: │
 301 │                                                                    ├─────────┤
 302 │                                                                    │  Female │
 303 │                                                                    ├─────────┤
 304 │                                                                    │ Column %│
 305 ├────────────────────────────────────────────────────────────────────┼─────────┤
 306 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 307 │much to drink to drive safely will A. Get stopped by    certain     │         │
 308 │the police?                                             Somewhat    │      40%│
 309 │                                                        likely      │         │
 310 │                                                        Somewhat    │      19%│
 311 │                                                        unlikely    │         │
 312 │                                                        Very        │       9%│
 313 │                                                        unlikely    │         │
 314 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 315 ])
 316 AT_CLEANUP
 317
 318 AT_SETUP([CTABLES simple nesting])
 319 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 320 AT_DATA([ctables.sps],
 321 [[GET 'nhtsa.sav'.
 322 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 323   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 324 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 325   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 326   /CLABELS ROW=OPPOSITE.
 327 ]])
 328 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 329                                   Custom Tables
 330 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 331 │                                                                 │     │ Table│
 332 │                                                                 │Count│   %  │
 333 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 334 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 335 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 336 │drive safely will A. Get stopped by                        Total │  700│   10%│
 337 │the police?                           ╶──────────────────────────┼─────┼──────┤
 338 │                                       Very       S3a.     Male  │  660│   10%│
 339 │                                       likely     GENDER:  Female│  842│   12%│
 340 │                                                           Total │ 1502│   22%│
 341 │                                      ╶──────────────────────────┼─────┼──────┤
 342 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 343 │                                       likely     GENDER:  Female│ 1589│   23%│
 344 │                                                           Total │ 2763│   40%│
 345 │                                      ╶──────────────────────────┼─────┼──────┤
 346 │                                       Somewhat   S3a.     Male  │  640│    9%│
 347 │                                       unlikely   GENDER:  Female│  667│   10%│
 348 │                                                           Total │ 1307│   19%│
 349 │                                      ╶──────────────────────────┼─────┼──────┤
 350 │                                       Very       S3a.     Male  │  311│    5%│
 351 │                                       unlikely   GENDER:  Female│  298│    4%│
 352 │                                                           Total │  609│    9%│
 353 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 354 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 355 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 356 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 357 │                                      ╶──────────────────────────┼─────┼──────┤
 358 │                                       Very       S3a.     Male  │ 1104│   16%│
 359 │                                       likely     GENDER:  Female│ 1715│   25%│
 360 │                                                           Total │ 2819│   41%│
 361 │                                      ╶──────────────────────────┼─────┼──────┤
 362 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 363 │                                       likely     GENDER:  Female│ 1214│   18%│
 364 │                                                           Total │ 2417│   35%│
 365 │                                      ╶──────────────────────────┼─────┼──────┤
 366 │                                       Somewhat   S3a.     Male  │  262│    4%│
 367 │                                       unlikely   GENDER:  Female│  168│    2%│
 368 │                                                           Total │  430│    6%│
 369 │                                      ╶──────────────────────────┼─────┼──────┤
 370 │                                       Very       S3a.     Male  │   81│    1%│
 371 │                                       unlikely   GENDER:  Female│   59│    1%│
 372 │                                                           Total │  140│    2%│
 373 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 374 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 375 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 376 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 377 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 378 │                                       Very       S3a.     Male  │  988│   14%│
 379 │                                       likely     GENDER:  Female│ 1049│   15%│
 380 │                                                           Total │ 2037│   30%│
 381 │                                      ╶──────────────────────────┼─────┼──────┤
 382 │                                       Somewhat   S3a.     Male  │  822│   12%│
 383 │                                       likely     GENDER:  Female│ 1210│   18%│
 384 │                                                           Total │ 2032│   30%│
 385 │                                      ╶──────────────────────────┼─────┼──────┤
 386 │                                       Somewhat   S3a.     Male  │  446│    7%│
 387 │                                       unlikely   GENDER:  Female│  548│    8%│
 388 │                                                           Total │  994│   15%│
 389 │                                      ╶──────────────────────────┼─────┼──────┤
 390 │                                       Very       S3a.     Male  │  268│    4%│
 391 │                                       unlikely   GENDER:  Female│  354│    5%│
 392 │                                                           Total │  622│    9%│
 393 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 394 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 395 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 396 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 397 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 398 │                                       Very       S3a.     Male  │  805│   12%│
 399 │                                       likely     GENDER:  Female│ 1029│   15%│
 400 │                                                           Total │ 1834│   27%│
 401 │                                      ╶──────────────────────────┼─────┼──────┤
 402 │                                       Somewhat   S3a.     Male  │  975│   14%│
 403 │                                       likely     GENDER:  Female│ 1332│   19%│
 404 │                                                           Total │ 2307│   34%│
 405 │                                      ╶──────────────────────────┼─────┼──────┤
 406 │                                       Somewhat   S3a.     Male  │  535│    8%│
 407 │                                       unlikely   GENDER:  Female│  560│    8%│
 408 │                                                           Total │ 1095│   16%│
 409 │                                      ╶──────────────────────────┼─────┼──────┤
 410 │                                       Very       S3a.     Male  │  270│    4%│
 411 │                                       unlikely   GENDER:  Female│  279│    4%│
 412 │                                                           Total │  549│    8%│
 413 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 414
 415                                   Custom Tables
 416 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 417 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 418 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 419 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 420 │                                 │        │ Table│         │         │        │
 421 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 422 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 423 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 424 │GENDER:        is it that drivers│        │      │         │         │        │
 425 │               who have had too  │        │      │         │         │        │
 426 │               much to drink to  │        │      │         │         │        │
 427 │               drive safely will │        │      │         │         │        │
 428 │               A. Get stopped by │        │      │         │         │        │
 429 │               the police?       │        │      │         │         │        │
 430 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 431 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 432 │               is it that drivers│        │      │         │         │        │
 433 │               who have had too  │        │      │         │         │        │
 434 │               much to drink to  │        │      │         │         │        │
 435 │               drive safely will │        │      │         │         │        │
 436 │               A. Get stopped by │        │      │         │         │        │
 437 │               the police?       │        │      │         │         │        │
 438 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 439 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 440 │               is it that drivers│        │      │         │         │        │
 441 │               who have had too  │        │      │         │         │        │
 442 │               much to drink to  │        │      │         │         │        │
 443 │               drive safely will │        │      │         │         │        │
 444 │               A. Get stopped by │        │      │         │         │        │
 445 │               the police?       │        │      │         │         │        │
 446 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 447 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 448 │GENDER:        is it that drivers│        │      │         │         │        │
 449 │               who have had too  │        │      │         │         │        │
 450 │               much to drink to  │        │      │         │         │        │
 451 │               drive safely will │        │      │         │         │        │
 452 │               B. Have an        │        │      │         │         │        │
 453 │               accident?         │        │      │         │         │        │
 454 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 455 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 456 │               is it that drivers│        │      │         │         │        │
 457 │               who have had too  │        │      │         │         │        │
 458 │               much to drink to  │        │      │         │         │        │
 459 │               drive safely will │        │      │         │         │        │
 460 │               B. Have an        │        │      │         │         │        │
 461 │               accident?         │        │      │         │         │        │
 462 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 463 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 464 │               is it that drivers│        │      │         │         │        │
 465 │               who have had too  │        │      │         │         │        │
 466 │               much to drink to  │        │      │         │         │        │
 467 │               drive safely will │        │      │         │         │        │
 468 │               B. Have an        │        │      │         │         │        │
 469 │               accident?         │        │      │         │         │        │
 470 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 471 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 472 │GENDER:        is it that drivers│        │      │         │         │        │
 473 │               who have had too  │        │      │         │         │        │
 474 │               much to drink to  │        │      │         │         │        │
 475 │               drive safely will │        │      │         │         │        │
 476 │               C. Be convicted   │        │      │         │         │        │
 477 │               for drunk driving?│        │      │         │         │        │
 478 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 479 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 480 │               is it that drivers│        │      │         │         │        │
 481 │               who have had too  │        │      │         │         │        │
 482 │               much to drink to  │        │      │         │         │        │
 483 │               drive safely will │        │      │         │         │        │
 484 │               C. Be convicted   │        │      │         │         │        │
 485 │               for drunk driving?│        │      │         │         │        │
 486 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 487 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 488 │               is it that drivers│        │      │         │         │        │
 489 │               who have had too  │        │      │         │         │        │
 490 │               much to drink to  │        │      │         │         │        │
 491 │               drive safely will │        │      │         │         │        │
 492 │               C. Be convicted   │        │      │         │         │        │
 493 │               for drunk driving?│        │      │         │         │        │
 494 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 495 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 496 │GENDER:        is it that drivers│        │      │         │         │        │
 497 │               who have had too  │        │      │         │         │        │
 498 │               much to drink to  │        │      │         │         │        │
 499 │               drive safely will │        │      │         │         │        │
 500 │               D. Be arrested for│        │      │         │         │        │
 501 │               drunk driving?    │        │      │         │         │        │
 502 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 503 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 504 │               is it that drivers│        │      │         │         │        │
 505 │               who have had too  │        │      │         │         │        │
 506 │               much to drink to  │        │      │         │         │        │
 507 │               drive safely will │        │      │         │         │        │
 508 │               D. Be arrested for│        │      │         │         │        │
 509 │               drunk driving?    │        │      │         │         │        │
 510 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 511 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 512 │               is it that drivers│        │      │         │         │        │
 513 │               who have had too  │        │      │         │         │        │
 514 │               much to drink to  │        │      │         │         │        │
 515 │               drive safely will │        │      │         │         │        │
 516 │               D. Be arrested for│        │      │         │         │        │
 517 │               drunk driving?    │        │      │         │         │        │
 518 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 519 ])
 520 AT_CLEANUP
 521
 522 AT_SETUP([CTABLES nesting and scale variables])
 523 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 524 AT_DATA([ctables.sps],
 525 [[GET 'nhtsa.sav'.
 526 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 527 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 528 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 529   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 530 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 531 ]])
 532 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 533                                   Custom Tables
 534 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 535 │                                                                 │S3a. GENDER:│
 536 │                                                                 ├─────┬──────┤
 537 │                                                                 │ Male│Female│
 538 │                                                                 ├─────┼──────┤
 539 │                                                                 │ Mean│ Mean │
 540 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 541 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 542 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 543 │                                                  week           │     │      │
 544 │                                                  Once a week or │   44│    54│
 545 │                                                  less           │     │      │
 546 │                                                  Only certain   │   34│    41│
 547 │                                                  times a year   │     │      │
 548 │                                                  Never          │   39│    55│
 549 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 550
 551                                   Custom Tables
 552 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 553 │                                                         │Minimum│Maximum│Mean│
 554 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 555 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 556 │What is  GENDER:         months, has there been a        │       │       │    │
 557 │your                     time when you felt you          │       │       │    │
 558 │age?                     should cut down on your      No │     16│     86│  46│
 559 │                         drinking?                       │       │       │    │
 560 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 561 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 562 │                         months, has there been a        │       │       │    │
 563 │                         time when you felt you          │       │       │    │
 564 │                         should cut down on your      No │     16│     86│  48│
 565 │                         drinking?                       │       │       │    │
 566 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 567 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 568 │What is  GENDER:         months, has there been a        │       │       │    │
 569 │your                     time when people criticized  No │     16│     86│  46│
 570 │age?                     your drinking?                  │       │       │    │
 571 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 572 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 573 │                         months, has there been a        │       │       │    │
 574 │                         time when people criticized  No │     16│     86│  48│
 575 │                         your drinking?                  │       │       │    │
 576 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 577
 578                                   Custom Tables
 579 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 580 │                             │S1. Including yourself, how many members of this│
 581 │                             │         household are age 16 or older?         │
 582 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 583 │                             │      │      │      │      │      │      │ 6 or │
 584 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 585 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 586 │                             │Column│Column│Column│Column│Column│Column│Column│
 587 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 588 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 589 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 590 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 591 │SOURCE:     likely           │      │      │      │      │      │      │      │
 592 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 593 │            that     likely  │      │      │      │      │      │      │      │
 594 │            drivers          │      │      │      │      │      │      │      │
 595 │            who have         │      │      │      │      │      │      │      │
 596 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 597 │            much to  likely  │      │      │      │      │      │      │      │
 598 │            drink to         │      │      │      │      │      │      │      │
 599 │            drive            │      │      │      │      │      │      │      │
 600 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 601 │            will A.  unlikely│      │      │      │      │      │      │      │
 602 │            Get              │      │      │      │      │      │      │      │
 603 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 604 │            by the   unlikely│      │      │      │      │      │      │      │
 605 │            police?          │      │      │      │      │      │      │      │
 606 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 607
 608                                   Custom Tables
 609 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 610 │                                                              │    │    Std   │
 611 │                                                              │Mean│ Deviation│
 612 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 613 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 614 │group           typical month did you have one or more        │    │          │
 615 │                alcoholic beverages to drink?                 │    │          │
 616 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 617 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 618 │                typical month did you have one or more        │    │          │
 619 │                alcoholic beverages to drink?                 │    │          │
 620 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 621 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 622 │                typical month did you have one or more        │    │          │
 623 │                alcoholic beverages to drink?                 │    │          │
 624 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 625 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 626 │                typical month did you have one or more        │    │          │
 627 │                alcoholic beverages to drink?                 │    │          │
 628 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 629 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 630 │                typical month did you have one or more        │    │          │
 631 │                alcoholic beverages to drink?                 │    │          │
 632 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 633 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 634 │       older    typical month did you have one or more        │    │          │
 635 │                alcoholic beverages to drink?                 │    │          │
 636 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 637 ])
 638 AT_CLEANUP
 639
 640
 641 AT_SETUP([CTABLES SLABELS])
 642 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 643 AT_DATA([ctables.sps],
 644 [[GET 'nhtsa.sav'.
 645 CTABLES /TABLE qn1 [COUNT COLPCT].
 646 CTABLES /TABLE qn1 [COUNT COLPCT]
 647     /SLABELS POSITION=ROW.
 648 CTABLES /TABLE qn1 [COUNT COLPCT]
 649     /SLABELS POSITION=ROW VISIBLE=NO.
 650 ]])
 651 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 652                                   Custom Tables
 653 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 654 │                                                                │     │ Column│
 655 │                                                                │Count│   %   │
 656 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 657 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 658 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 659 │                                             Once a week or less│  361│   5.2%│
 660 │                                             Only certain times │  130│   1.9%│
 661 │                                             a year             │     │       │
 662 │                                             Never              │  540│   7.7%│
 663 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 664
 665                                   Custom Tables
 666 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 667 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 668 │other motor vehicle?                                             Column │66.9%│
 669 │                                                                 %      │     │
 670 │                                            ╶───────────────────────────┼─────┤
 671 │                                             Several days a week Count  │ 1274│
 672 │                                                                 Column │18.3%│
 673 │                                                                 %      │     │
 674 │                                            ╶───────────────────────────┼─────┤
 675 │                                             Once a week or less Count  │  361│
 676 │                                                                 Column │ 5.2%│
 677 │                                                                 %      │     │
 678 │                                            ╶───────────────────────────┼─────┤
 679 │                                             Only certain times  Count  │  130│
 680 │                                             a year              Column │ 1.9%│
 681 │                                                                 %      │     │
 682 │                                            ╶───────────────────────────┼─────┤
 683 │                                             Never               Count  │  540│
 684 │                                                                 Column │ 7.7%│
 685 │                                                                 %      │     │
 686 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 687
 688                                   Custom Tables
 689 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 690 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 691 │motor vehicle?                                                          │66.9%│
 692 │                                                   Several days a week  │ 1274│
 693 │                                                                        │18.3%│
 694 │                                                   Once a week or less  │  361│
 695 │                                                                        │ 5.2%│
 696 │                                                   Only certain times a │  130│
 697 │                                                   year                 │ 1.9%│
 698 │                                                   Never                │  540│
 699 │                                                                        │ 7.7%│
 700 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 701 ])
 702 AT_CLEANUP
 703
 704 AT_SETUP([CTABLES simple totals])
 705 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 706 AT_DATA([ctables.sps],
 707 [[GET 'nhtsa.sav'.
 708 CTABLES /TABLE=qn17
 709     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 710 CTABLES /TABLE=region > qn18 [MEAN, COUNT]
 711     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 712 ]])
 713 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 714                                   Custom Tables
 715 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 716 │                                                                        │Count│
 717 ├────────────────────────────────────────────────────────────────────────┼─────┤
 718 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 719 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 720 │                                                      Light beer        │  620│
 721 │                                                      Wine              │ 1418│
 722 │                                                      Wine coolers      │  137│
 723 │                                                      Hard liquor or    │  888│
 724 │                                                      mixed drinks      │     │
 725 │                                                      Flavored malt     │   83│
 726 │                                                      drinks            │     │
 727 │                                                      Number responding │ 4221│
 728 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 729
 730                                   Custom Tables
 731 ╭───────────────────────────────────────────────────────────────────┬────┬─────╮
 732 │                                                                   │Mean│Count│
 733 ├───────────────────────────────────────────────────────────────────┼────┼─────┤
 734 │Region NE       18. When you drink ANSWERFROM(QN17R1), about how   │4.36│  949│
 735 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 736 │                sitting?                                           │    │     │
 737 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 738 │       MW       18. When you drink ANSWERFROM(QN17R1), about how   │4.67│ 1027│
 739 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 740 │                sitting?                                           │    │     │
 741 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 742 │       S        18. When you drink ANSWERFROM(QN17R1), about how   │4.71│ 1287│
 743 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 744 │                sitting?                                           │    │     │
 745 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 746 │       W        18. When you drink ANSWERFROM(QN17R1), about how   │4.69│  955│
 747 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 748 │                sitting?                                           │    │     │
 749 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 750 │       All      18. When you drink ANSWERFROM(QN17R1), about how   │4.62│ 4218│
 751 │       regions  many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 752 │                sitting?                                           │    │     │
 753 ╰───────────────────────────────────────────────────────────────────┴────┴─────╯
 754 ])
 755 AT_CLEANUP
 756
 757 AT_SETUP([CTABLES subtotals])
 758 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 759 AT_DATA([ctables.sps],
 760 [[GET 'nhtsa.sav'.
 761 CTABLES /TABLE=qn105ba BY qns1
 762     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 763 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 764     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 765 CTABLES /TABLE=qn105ba BY qns1
 766     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 767     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 768 ]])
 769 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 770                                                       Custom Tables
 771 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 772 │                                                         │ S1. Including yourself, how many members of this household │
 773 │                                                         │                    are age 16 or older?                    │
 774 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 775 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 776 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 777 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 778 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 779 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 780 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 781 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 782 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 783 │                                              likely     │       │       │         │       │        │      │          │
 784 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 785 │                                              unlikely   │       │       │         │       │        │      │          │
 786 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 787 │                                              unlikely   │       │       │         │       │        │      │          │
 788 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 789
 790                                                       Custom Tables
 791 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 792 │                                                        │  S1. Including yourself, how many members of this household │
 793 │                                                        │                     are age 16 or older?                    │
 794 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 795 │                                                        │        │        │        │        │       │        │  6 or  │
 796 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 797 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 798 │                                                        │        │        │        │        │ Column│        │        │
 799 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 800 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 801 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 802 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 803 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 804 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 805 │                                             likely     │        │        │        │        │       │        │        │
 806 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 807 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 808 │                                             unlikely   │        │        │        │        │       │        │        │
 809 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 810 │                                             unlikely   │        │        │        │        │       │        │        │
 811 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 812 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 813
 814                                                       Custom Tables
 815 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 816 │                                                         │ S1. Including yourself, how many members of this household │
 817 │                                                         │                    are age 16 or older?                    │
 818 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 819 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 820 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 821 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 822 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 823 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 824 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 825 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 826 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 827 │                                              likely     │       │       │         │       │        │      │          │
 828 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 829 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 830 │                                              unlikely   │       │       │         │       │        │      │          │
 831 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 832 │                                              unlikely   │       │       │         │       │        │      │          │
 833 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 834 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 835 ])
 836 AT_CLEANUP
 837
 838 AT_SETUP([CTABLES PCOMPUTE])
 839 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 840 AT_DATA([ctables.sps],
 841 [[GET 'nhtsa.sav'.
 842 CTABLES
 843     /PCOMPUTE &x=EXPR([3] + [4])
 844     /PCOMPUTE &y=EXPR([4] + [5])
 845     /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES
 846     /PPROPERTIES &y LABEL='4+5'
 847     /TABLE=qn105ba BY qns1
 848     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
 849 ]])
 850 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 851                                                       Custom Tables
 852 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 853 │                                                         │ S1. Including yourself, how many members of this household │
 854 │                                                         │                    are age 16 or older?                    │
 855 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 856 │                                                         │   1   │   2   │ Subtotal│   5   │   3+4  │  4+5 │ Subtotal │
 857 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 858 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 859 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 860 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     11│      81│    30│        92│
 861 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 862 │Get stopped by the police?                    Very likely│    384│    552│      936│     14│     171│    65│       185│
 863 │                                              Somewhat   │    590│   1249│     1839│     20│     265│    92│       285│
 864 │                                              likely     │       │       │         │       │        │      │          │
 865 │                                              Somewhat   │    278│    647│      925│      6│     116│    38│       122│
 866 │                                              unlikely   │       │       │         │       │        │      │          │
 867 │                                              Very       │    141│    290│      431│      4│      59│    22│        63│
 868 │                                              unlikely   │       │       │         │       │        │      │          │
 869 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 870 ])
 871 AT_CLEANUP
 872
 873 AT_SETUP([CTABLES CLABELS])
 874 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 875 AT_DATA([ctables.sps],
 876 [[GET 'nhtsa.sav'.
 877 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
 878 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
 879 ]])
 880 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 881                                                       Custom Tables
 882 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
 883 │       │                                                 S3a. GENDER:                                                 │
 884 │       ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
 885 │       │                         Male                         │                         Female                        │
 886 │       ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
 887 │       │  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 │
 888 │       │ younger │   25  │  35  │  45  │  55  │   65  │ older │  younger │  25  │   35  │  45  │  55  │  65  │  older │
 889 │       ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 890 │       │  Count  │ Count │ Count│ Count│ Count│ Count │ Count │   Count  │ Count│ Count │ Count│ Count│ Count│  Count │
 891 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 892 │Age    │        0│    594│   476│   489│   526│    516│    531│         0│   505│    491│   548│   649│   731│     943│
 893 │group  │         │       │      │      │      │       │       │          │      │       │      │      │      │        │
 894 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
 895
 896                 Custom Tables
 897 ╭──────────────────────────────┬────────────╮
 898 │                              │S3a. GENDER:│
 899 │                              ├────────────┤
 900 │                              │    Count   │
 901 ├──────────────────────────────┼────────────┤
 902 │Age group 15 or younger Male  │           0│
 903 │                        Female│           0│
 904 │         ╶────────────────────┼────────────┤
 905 │          16 to 25      Male  │         594│
 906 │                        Female│         505│
 907 │         ╶────────────────────┼────────────┤
 908 │          26 to 35      Male  │         476│
 909 │                        Female│         491│
 910 │         ╶────────────────────┼────────────┤
 911 │          36 to 45      Male  │         489│
 912 │                        Female│         548│
 913 │         ╶────────────────────┼────────────┤
 914 │          46 to 55      Male  │         526│
 915 │                        Female│         649│
 916 │         ╶────────────────────┼────────────┤
 917 │          56 to 65      Male  │         516│
 918 │                        Female│         731│
 919 │         ╶────────────────────┼────────────┤
 920 │          66 or older   Male  │         531│
 921 │                        Female│         943│
 922 ╰──────────────────────────────┴────────────╯
 923 ])
 924 AT_CLEANUP