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