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

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