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 - PCOMPUTE:
   9 dnl   * dates
  10 dnl
  11 dnl Features not yet tested:
  12 dnl - Parsing (positive and negative)
  13 dnl - String variables and values
  14 dnl - Testing details of missing value handling in summaries.
  15 dnl - test CLABELS ROWLABELS=LAYER.
  16 dnl - Test VLABELS.
  17 dnl - Test WEIGHT and adjustment weights.
  18 dnl - EMPTY=INCLUDE For string ranges.
  19 dnl - Summary functions:
  20 dnl   * Separate summary functions for totals and subtotals.
  21 dnl   * )CILEVEL in summary label specification
  22 dnl Category sorting:
  23 dnl   * VALUE
  24 dnl   * LABEL
  25 dnl   * ascending/descending
  26 dnl - CATEGORIES:
  27 dnl   * String values
  28 dnl   * Date values
  29 dnl   * THRU (numeric ranges)
  30 dnl   * THRU (string ranges)
  31 dnl   * OTHERNM
  32 dnl - FORMAT:
  33 dnl   * MINCOLWIDTH, MAXCOLWIDTH, UNITS.
  34 dnl   * EMPTY.
  35 dnl   * MISSING.
  36 dnl - HIDESMALLCOUNTS.
  37 dnl - Date/time variables and values
  38 dnl - Special formats for summary functions: NEGPAREN, NEQUAL, PAREN, PCTPAREN.
  39 dnl - TITLES: )DATE, )TIME, )TABLE.
  40 dnl - Test PCOMPUTE:
  41 dnl   * PCOMPUTE for more than one kind of summary (e.g. [COUNT, ROWPCT]).
  42 dnl   * MISSING, OTHERNM
  43 dnl   * strings and string ranges
  44 dnl   * multi-dimensional (multiple CCT_POSTCOMPUTE in one cell)
  45 dnl - PPROPERTIES:
  46 dnl   * )LABEL[N].
  47 dnl - Summary functions:
  48 dnl   * U-prefix for unweighted summaries.
  49 dnl   * areaPCT.SUM and UareaPCT.SUM functions.
  50 dnl
  51 dnl Not for v1:
  52 dnl - Multiple response sets
  53 dnl - MRSETS subcommand.
  54 dnl - CATEGORIES: Special case for explicit category specifications and multiple dichotomy sets.
  55 dnl - SIGTEST
  56 dnl - COMPARETEST
  57 dnl - Summary functions:
  58 dnl   * .LCL and .UCL suffixes.
  59 dnl   * .SE suffixes.
  60 dnl - CATEGORIES:
  61 dnl   * Data-dependent sorting.
  62 dnl
  63 dnl
  64 dnl Bug:
  65 dnl     CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
  66 dnl produces a bad median:
  67 dnl                     Custom Tables
  68 dnl +--------------------------+-----------------------+
  69 dnl |                          |      S3a. GENDER:     |
  70 dnl |                          +-----------+-----------+
  71 dnl |                          |    Male   |   Female  |
  72 dnl |                          +----+------+----+------+
  73 dnl |                          |Mean|Median|Mean|Median|
  74 dnl +--------------------------+----+------+----+------+
  75 dnl |D1. AGE: What is your age?|  46|   999|  50|   999|
  76 dnl +--------------------------+----+------+----+------+
  77
  78
  79
  80 # AT_SETUP([CTABLES parsing])
  81 # AT_DATA([ctables.sps],
  82 # [[DATA LIST LIST NOTABLE /x y z.
  83 # CTABLES /TABLE=(x + y) > z.
  84 # CTABLES /TABLE=(x[c] + y[c]) > z.
  85 # CTABLES /TABLE=(x + y) > z[c].
  86 # CTABLES /TABLE=x BY y BY z.
  87 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  88 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  89 # ]])
  90 # AT_CHECK([pspp ctables.sps])
  91 # AT_CLEANUP
  92
  93 AT_SETUP([CTABLES one categorical variable])
  94 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  95 AT_DATA([ctables.sps],
  96 [[GET 'nhtsa.sav'.
  97 CTABLES /TABLE qn1.
  98 CTABLES /TABLE BY qn1.
  99 CTABLES /TABLE BY BY qn1.
 100 ]])
 101 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 102                                   Custom Tables
 103 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 104 │                                                                        │Count│
 105 ├────────────────────────────────────────────────────────────────────────┼─────┤
 106 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 107 │motor vehicle?                                     Several days a week  │ 1274│
 108 │                                                   Once a week or less  │  361│
 109 │                                                   Only certain times a │  130│
 110 │                                                   year                 │     │
 111 │                                                   Never                │  540│
 112 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 113
 114                                   Custom Tables
 115 ╭──────────────────────────────────────────────────────────────────────────────╮
 116 │        1. How often do you usually drive a car or other motor vehicle?       │
 117 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
 118 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
 119 │Every day│       week       │       less       │          year          │Never│
 120 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 121 │  Count  │       Count      │       Count      │          Count         │Count│
 122 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 123 │     4667│              1274│               361│                     130│  540│
 124 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
 125
 126 Custom Tables
 127 Every day
 128 ╭─────╮
 129 │Count│
 130 ├─────┤
 131 │ 4667│
 132 ╰─────╯
 133 ])
 134 AT_CLEANUP
 135
 136 AT_SETUP([CTABLES one scale variable])
 137 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 138 AT_DATA([ctables.sps],
 139 [[GET 'nhtsa.sav'.
 140 CTABLES /TABLE qnd1[COUNT, VALIDN, TOTALN, MEAN, STDDEV, MINIMUM, MAXIMUM].
 141 CTABLES /TABLE BY qnd1.
 142 CTABLES /TABLE BY BY qnd1.
 143 ]])
 144 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 145                                   Custom Tables
 146 ╭──────────────────────┬─────┬───────┬───────┬────┬────────────┬───────┬───────╮
 147 │                      │     │       │       │    │     Std    │       │       │
 148 │                      │Count│Valid N│Total N│Mean│  Deviation │Minimum│Maximum│
 149 ├──────────────────────┼─────┼───────┼───────┼────┼────────────┼───────┼───────┤
 150 │D1. AGE: What is your │ 6999│   6930│   6999│  48│          19│     16│     86│
 151 │age?                  │     │       │       │    │            │       │       │
 152 ╰──────────────────────┴─────┴───────┴───────┴────┴────────────┴───────┴───────╯
 153
 154         Custom Tables
 155 ╭──────────────────────────╮
 156 │D1. AGE: What is your age?│
 157 ├──────────────────────────┤
 158 │           Mean           │
 159 ├──────────────────────────┤
 160 │                        48│
 161 ╰──────────────────────────╯
 162
 163 Custom Tables
 164 D1. AGE: What is your age?
 165 ╭────╮
 166 │Mean│
 167 ├────┤
 168 │  48│
 169 ╰────╯
 170 ])
 171 AT_CLEANUP
 172
 173 AT_SETUP([CTABLES simple stacking])
 174 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 175 AT_DATA([ctables.sps],
 176 [[GET 'nhtsa.sav'.
 177 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 178 ]])
 179 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 180                                   Custom Tables
 181 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 182 │                                                               │ S3a. GENDER: │
 183 │                                                               ├──────┬───────┤
 184 │                                                               │ Male │ Female│
 185 │                                                               ├──────┼───────┤
 186 │                                                               │Column│ Column│
 187 │                                                               │   %  │   %   │
 188 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 189 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 190 │too much to drink to drive safely will A. Get      certain     │      │       │
 191 │stopped by the police?                             Very likely │   21%│    22%│
 192 │                                                   Somewhat    │   38%│    42%│
 193 │                                                   likely      │      │       │
 194 │                                                   Somewhat    │   21%│    18%│
 195 │                                                   unlikely    │      │       │
 196 │                                                   Very        │   10%│     8%│
 197 │                                                   unlikely    │      │       │
 198 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 199 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 200 │too much to drink to drive safely will B. Have an  certain     │      │       │
 201 │accident?                                          Very likely │   36%│    45%│
 202 │                                                   Somewhat    │   39%│    32%│
 203 │                                                   likely      │      │       │
 204 │                                                   Somewhat    │    9%│     4%│
 205 │                                                   unlikely    │      │       │
 206 │                                                   Very        │    3%│     2%│
 207 │                                                   unlikely    │      │       │
 208 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 209 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 210 │too much to drink to drive safely will C. Be       certain     │      │       │
 211 │convicted for drunk driving?                       Very likely │   32%│    28%│
 212 │                                                   Somewhat    │   27%│    32%│
 213 │                                                   likely      │      │       │
 214 │                                                   Somewhat    │   15%│    15%│
 215 │                                                   unlikely    │      │       │
 216 │                                                   Very        │    9%│     9%│
 217 │                                                   unlikely    │      │       │
 218 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 219 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 220 │too much to drink to drive safely will D. Be       certain     │      │       │
 221 │arrested for drunk driving?                        Very likely │   26%│    27%│
 222 │                                                   Somewhat    │   32%│    35%│
 223 │                                                   likely      │      │       │
 224 │                                                   Somewhat    │   17%│    15%│
 225 │                                                   unlikely    │      │       │
 226 │                                                   Very        │    9%│     7%│
 227 │                                                   unlikely    │      │       │
 228 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 229 ])
 230 AT_CLEANUP
 231
 232 AT_SETUP([CTABLES show or hide empty categories])
 233 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 234 AT_DATA([ctables.sps],
 235 [[GET 'nhtsa.sav'.
 236 IF (qn105ba = 2) qn105ba = 1.
 237 IF (qns3a = 1) qns3a = 2.
 238 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 239 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 240     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 241 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 242     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 243 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 244     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 245 ]])
 246 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 247                                   Custom Tables
 248 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 249 │                                                              │  S3a. GENDER: │
 250 │                                                              ├───────┬───────┤
 251 │                                                              │  Male │ Female│
 252 │                                                              ├───────┼───────┤
 253 │                                                              │ Column│ Column│
 254 │                                                              │   %   │   %   │
 255 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 256 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 257 │too much to drink to drive safely will A. Get      certain    │       │       │
 258 │stopped by the police?                             Very likely│      .│     0%│
 259 │                                                   Somewhat   │      .│    40%│
 260 │                                                   likely     │       │       │
 261 │                                                   Somewhat   │      .│    19%│
 262 │                                                   unlikely   │       │       │
 263 │                                                   Very       │      .│     9%│
 264 │                                                   unlikely   │       │       │
 265 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 266
 267                                   Custom Tables
 268 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 269 │                                                              │  S3a. GENDER: │
 270 │                                                              ├───────┬───────┤
 271 │                                                              │  Male │ Female│
 272 │                                                              ├───────┼───────┤
 273 │                                                              │ Column│ Column│
 274 │                                                              │   %   │   %   │
 275 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 276 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 277 │too much to drink to drive safely will A. Get      certain    │       │       │
 278 │stopped by the police?                             Somewhat   │      .│    40%│
 279 │                                                   likely     │       │       │
 280 │                                                   Somewhat   │      .│    19%│
 281 │                                                   unlikely   │       │       │
 282 │                                                   Very       │      .│     9%│
 283 │                                                   unlikely   │       │       │
 284 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 285
 286                                   Custom Tables
 287 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 288 │                                                                    │   S3a.  │
 289 │                                                                    │ GENDER: │
 290 │                                                                    ├─────────┤
 291 │                                                                    │  Female │
 292 │                                                                    ├─────────┤
 293 │                                                                    │ Column %│
 294 ├────────────────────────────────────────────────────────────────────┼─────────┤
 295 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 296 │much to drink to drive safely will A. Get stopped by    certain     │         │
 297 │the police?                                             Very likely │       0%│
 298 │                                                        Somewhat    │      40%│
 299 │                                                        likely      │         │
 300 │                                                        Somewhat    │      19%│
 301 │                                                        unlikely    │         │
 302 │                                                        Very        │       9%│
 303 │                                                        unlikely    │         │
 304 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 305
 306                                   Custom Tables
 307 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 308 │                                                                    │   S3a.  │
 309 │                                                                    │ GENDER: │
 310 │                                                                    ├─────────┤
 311 │                                                                    │  Female │
 312 │                                                                    ├─────────┤
 313 │                                                                    │ Column %│
 314 ├────────────────────────────────────────────────────────────────────┼─────────┤
 315 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 316 │much to drink to drive safely will A. Get stopped by    certain     │         │
 317 │the police?                                             Somewhat    │      40%│
 318 │                                                        likely      │         │
 319 │                                                        Somewhat    │      19%│
 320 │                                                        unlikely    │         │
 321 │                                                        Very        │       9%│
 322 │                                                        unlikely    │         │
 323 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 324 ])
 325 AT_CLEANUP
 326
 327 AT_SETUP([CTABLES simple nesting])
 328 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 329 AT_DATA([ctables.sps],
 330 [[GET 'nhtsa.sav'.
 331 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 332   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 333 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 334   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 335   /CLABELS ROW=OPPOSITE.
 336 ]])
 337 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 338                                   Custom Tables
 339 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 340 │                                                                 │     │ Table│
 341 │                                                                 │Count│   %  │
 342 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 343 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 344 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 345 │drive safely will A. Get stopped by                        Total │  700│   10%│
 346 │the police?                           ╶──────────────────────────┼─────┼──────┤
 347 │                                       Very       S3a.     Male  │  660│   10%│
 348 │                                       likely     GENDER:  Female│  842│   12%│
 349 │                                                           Total │ 1502│   22%│
 350 │                                      ╶──────────────────────────┼─────┼──────┤
 351 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 352 │                                       likely     GENDER:  Female│ 1589│   23%│
 353 │                                                           Total │ 2763│   40%│
 354 │                                      ╶──────────────────────────┼─────┼──────┤
 355 │                                       Somewhat   S3a.     Male  │  640│    9%│
 356 │                                       unlikely   GENDER:  Female│  667│   10%│
 357 │                                                           Total │ 1307│   19%│
 358 │                                      ╶──────────────────────────┼─────┼──────┤
 359 │                                       Very       S3a.     Male  │  311│    5%│
 360 │                                       unlikely   GENDER:  Female│  298│    4%│
 361 │                                                           Total │  609│    9%│
 362 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 363 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 364 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 365 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 366 │                                      ╶──────────────────────────┼─────┼──────┤
 367 │                                       Very       S3a.     Male  │ 1104│   16%│
 368 │                                       likely     GENDER:  Female│ 1715│   25%│
 369 │                                                           Total │ 2819│   41%│
 370 │                                      ╶──────────────────────────┼─────┼──────┤
 371 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 372 │                                       likely     GENDER:  Female│ 1214│   18%│
 373 │                                                           Total │ 2417│   35%│
 374 │                                      ╶──────────────────────────┼─────┼──────┤
 375 │                                       Somewhat   S3a.     Male  │  262│    4%│
 376 │                                       unlikely   GENDER:  Female│  168│    2%│
 377 │                                                           Total │  430│    6%│
 378 │                                      ╶──────────────────────────┼─────┼──────┤
 379 │                                       Very       S3a.     Male  │   81│    1%│
 380 │                                       unlikely   GENDER:  Female│   59│    1%│
 381 │                                                           Total │  140│    2%│
 382 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 383 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 384 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 385 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 386 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 387 │                                       Very       S3a.     Male  │  988│   14%│
 388 │                                       likely     GENDER:  Female│ 1049│   15%│
 389 │                                                           Total │ 2037│   30%│
 390 │                                      ╶──────────────────────────┼─────┼──────┤
 391 │                                       Somewhat   S3a.     Male  │  822│   12%│
 392 │                                       likely     GENDER:  Female│ 1210│   18%│
 393 │                                                           Total │ 2032│   30%│
 394 │                                      ╶──────────────────────────┼─────┼──────┤
 395 │                                       Somewhat   S3a.     Male  │  446│    7%│
 396 │                                       unlikely   GENDER:  Female│  548│    8%│
 397 │                                                           Total │  994│   15%│
 398 │                                      ╶──────────────────────────┼─────┼──────┤
 399 │                                       Very       S3a.     Male  │  268│    4%│
 400 │                                       unlikely   GENDER:  Female│  354│    5%│
 401 │                                                           Total │  622│    9%│
 402 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 403 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 404 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 405 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 406 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 407 │                                       Very       S3a.     Male  │  805│   12%│
 408 │                                       likely     GENDER:  Female│ 1029│   15%│
 409 │                                                           Total │ 1834│   27%│
 410 │                                      ╶──────────────────────────┼─────┼──────┤
 411 │                                       Somewhat   S3a.     Male  │  975│   14%│
 412 │                                       likely     GENDER:  Female│ 1332│   19%│
 413 │                                                           Total │ 2307│   34%│
 414 │                                      ╶──────────────────────────┼─────┼──────┤
 415 │                                       Somewhat   S3a.     Male  │  535│    8%│
 416 │                                       unlikely   GENDER:  Female│  560│    8%│
 417 │                                                           Total │ 1095│   16%│
 418 │                                      ╶──────────────────────────┼─────┼──────┤
 419 │                                       Very       S3a.     Male  │  270│    4%│
 420 │                                       unlikely   GENDER:  Female│  279│    4%│
 421 │                                                           Total │  549│    8%│
 422 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 423
 424                                   Custom Tables
 425 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 426 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 427 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 428 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 429 │                                 │        │ Table│         │         │        │
 430 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 431 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 432 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 433 │GENDER:        is it that drivers│        │      │         │         │        │
 434 │               who have had too  │        │      │         │         │        │
 435 │               much to drink to  │        │      │         │         │        │
 436 │               drive safely will │        │      │         │         │        │
 437 │               A. Get stopped by │        │      │         │         │        │
 438 │               the police?       │        │      │         │         │        │
 439 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 440 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 441 │               is it that drivers│        │      │         │         │        │
 442 │               who have had too  │        │      │         │         │        │
 443 │               much to drink to  │        │      │         │         │        │
 444 │               drive safely will │        │      │         │         │        │
 445 │               A. Get stopped by │        │      │         │         │        │
 446 │               the police?       │        │      │         │         │        │
 447 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 448 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 449 │               is it that drivers│        │      │         │         │        │
 450 │               who have had too  │        │      │         │         │        │
 451 │               much to drink to  │        │      │         │         │        │
 452 │               drive safely will │        │      │         │         │        │
 453 │               A. Get stopped by │        │      │         │         │        │
 454 │               the police?       │        │      │         │         │        │
 455 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 456 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 457 │GENDER:        is it that drivers│        │      │         │         │        │
 458 │               who have had too  │        │      │         │         │        │
 459 │               much to drink to  │        │      │         │         │        │
 460 │               drive safely will │        │      │         │         │        │
 461 │               B. Have an        │        │      │         │         │        │
 462 │               accident?         │        │      │         │         │        │
 463 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 464 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 465 │               is it that drivers│        │      │         │         │        │
 466 │               who have had too  │        │      │         │         │        │
 467 │               much to drink to  │        │      │         │         │        │
 468 │               drive safely will │        │      │         │         │        │
 469 │               B. Have an        │        │      │         │         │        │
 470 │               accident?         │        │      │         │         │        │
 471 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 472 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 473 │               is it that drivers│        │      │         │         │        │
 474 │               who have had too  │        │      │         │         │        │
 475 │               much to drink to  │        │      │         │         │        │
 476 │               drive safely will │        │      │         │         │        │
 477 │               B. Have an        │        │      │         │         │        │
 478 │               accident?         │        │      │         │         │        │
 479 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 480 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 481 │GENDER:        is it that drivers│        │      │         │         │        │
 482 │               who have had too  │        │      │         │         │        │
 483 │               much to drink to  │        │      │         │         │        │
 484 │               drive safely will │        │      │         │         │        │
 485 │               C. Be convicted   │        │      │         │         │        │
 486 │               for drunk driving?│        │      │         │         │        │
 487 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 488 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 489 │               is it that drivers│        │      │         │         │        │
 490 │               who have had too  │        │      │         │         │        │
 491 │               much to drink to  │        │      │         │         │        │
 492 │               drive safely will │        │      │         │         │        │
 493 │               C. Be convicted   │        │      │         │         │        │
 494 │               for drunk driving?│        │      │         │         │        │
 495 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 496 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 497 │               is it that drivers│        │      │         │         │        │
 498 │               who have had too  │        │      │         │         │        │
 499 │               much to drink to  │        │      │         │         │        │
 500 │               drive safely will │        │      │         │         │        │
 501 │               C. Be convicted   │        │      │         │         │        │
 502 │               for drunk driving?│        │      │         │         │        │
 503 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 504 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 505 │GENDER:        is it that drivers│        │      │         │         │        │
 506 │               who have had too  │        │      │         │         │        │
 507 │               much to drink to  │        │      │         │         │        │
 508 │               drive safely will │        │      │         │         │        │
 509 │               D. Be arrested for│        │      │         │         │        │
 510 │               drunk driving?    │        │      │         │         │        │
 511 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 512 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 513 │               is it that drivers│        │      │         │         │        │
 514 │               who have had too  │        │      │         │         │        │
 515 │               much to drink to  │        │      │         │         │        │
 516 │               drive safely will │        │      │         │         │        │
 517 │               D. Be arrested for│        │      │         │         │        │
 518 │               drunk driving?    │        │      │         │         │        │
 519 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 520 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 521 │               is it that drivers│        │      │         │         │        │
 522 │               who have had too  │        │      │         │         │        │
 523 │               much to drink to  │        │      │         │         │        │
 524 │               drive safely will │        │      │         │         │        │
 525 │               D. Be arrested for│        │      │         │         │        │
 526 │               drunk driving?    │        │      │         │         │        │
 527 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 528 ])
 529 AT_CLEANUP
 530
 531 AT_SETUP([CTABLES nesting and scale variables])
 532 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 533 AT_DATA([ctables.sps],
 534 [[GET 'nhtsa.sav'.
 535 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 536 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 537 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 538   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 539 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 540 ]])
 541 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 542                                   Custom Tables
 543 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 544 │                                                                 │S3a. GENDER:│
 545 │                                                                 ├─────┬──────┤
 546 │                                                                 │ Male│Female│
 547 │                                                                 ├─────┼──────┤
 548 │                                                                 │ Mean│ Mean │
 549 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 550 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 551 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 552 │                                                  week           │     │      │
 553 │                                                  Once a week or │   44│    54│
 554 │                                                  less           │     │      │
 555 │                                                  Only certain   │   34│    41│
 556 │                                                  times a year   │     │      │
 557 │                                                  Never          │   39│    55│
 558 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 559
 560                                   Custom Tables
 561 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 562 │                                                         │Minimum│Maximum│Mean│
 563 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 564 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 565 │What is  GENDER:         months, has there been a        │       │       │    │
 566 │your                     time when you felt you          │       │       │    │
 567 │age?                     should cut down on your      No │     16│     86│  46│
 568 │                         drinking?                       │       │       │    │
 569 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 570 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 571 │                         months, has there been a        │       │       │    │
 572 │                         time when you felt you          │       │       │    │
 573 │                         should cut down on your      No │     16│     86│  48│
 574 │                         drinking?                       │       │       │    │
 575 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 576 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 577 │What is  GENDER:         months, has there been a        │       │       │    │
 578 │your                     time when people criticized  No │     16│     86│  46│
 579 │age?                     your drinking?                  │       │       │    │
 580 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 581 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 582 │                         months, has there been a        │       │       │    │
 583 │                         time when people criticized  No │     16│     86│  48│
 584 │                         your drinking?                  │       │       │    │
 585 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 586
 587                                   Custom Tables
 588 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 589 │                             │S1. Including yourself, how many members of this│
 590 │                             │         household are age 16 or older?         │
 591 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 592 │                             │      │      │      │      │      │      │ 6 or │
 593 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 594 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 595 │                             │Column│Column│Column│Column│Column│Column│Column│
 596 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 597 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 598 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 599 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 600 │SOURCE:     likely           │      │      │      │      │      │      │      │
 601 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 602 │            that     likely  │      │      │      │      │      │      │      │
 603 │            drivers          │      │      │      │      │      │      │      │
 604 │            who have         │      │      │      │      │      │      │      │
 605 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 606 │            much to  likely  │      │      │      │      │      │      │      │
 607 │            drink to         │      │      │      │      │      │      │      │
 608 │            drive            │      │      │      │      │      │      │      │
 609 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 610 │            will A.  unlikely│      │      │      │      │      │      │      │
 611 │            Get              │      │      │      │      │      │      │      │
 612 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 613 │            by the   unlikely│      │      │      │      │      │      │      │
 614 │            police?          │      │      │      │      │      │      │      │
 615 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 616
 617                                   Custom Tables
 618 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 619 │                                                              │    │    Std   │
 620 │                                                              │Mean│ Deviation│
 621 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 622 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 623 │group           typical month did you have one or more        │    │          │
 624 │                alcoholic beverages to drink?                 │    │          │
 625 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 626 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 627 │                typical month did you have one or more        │    │          │
 628 │                alcoholic beverages to drink?                 │    │          │
 629 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 630 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 631 │                typical month did you have one or more        │    │          │
 632 │                alcoholic beverages to drink?                 │    │          │
 633 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 634 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 635 │                typical month did you have one or more        │    │          │
 636 │                alcoholic beverages to drink?                 │    │          │
 637 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 638 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 639 │                typical month did you have one or more        │    │          │
 640 │                alcoholic beverages to drink?                 │    │          │
 641 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 642 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 643 │       older    typical month did you have one or more        │    │          │
 644 │                alcoholic beverages to drink?                 │    │          │
 645 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 646 ])
 647 AT_CLEANUP
 648
 649
 650 AT_SETUP([CTABLES SLABELS])
 651 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 652 AT_DATA([ctables.sps],
 653 [[GET 'nhtsa.sav'.
 654 CTABLES /TABLE qn1 [COUNT COLPCT].
 655 CTABLES /TABLE qn1 [COUNT COLPCT]
 656     /SLABELS POSITION=ROW.
 657 CTABLES /TABLE qn1 [COUNT COLPCT]
 658     /SLABELS POSITION=ROW VISIBLE=NO.
 659 ]])
 660 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 661                                   Custom Tables
 662 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 663 │                                                                │     │ Column│
 664 │                                                                │Count│   %   │
 665 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 666 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 667 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 668 │                                             Once a week or less│  361│   5.2%│
 669 │                                             Only certain times │  130│   1.9%│
 670 │                                             a year             │     │       │
 671 │                                             Never              │  540│   7.7%│
 672 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 673
 674                                   Custom Tables
 675 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 676 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 677 │other motor vehicle?                                             Column │66.9%│
 678 │                                                                 %      │     │
 679 │                                            ╶───────────────────────────┼─────┤
 680 │                                             Several days a week Count  │ 1274│
 681 │                                                                 Column │18.3%│
 682 │                                                                 %      │     │
 683 │                                            ╶───────────────────────────┼─────┤
 684 │                                             Once a week or less Count  │  361│
 685 │                                                                 Column │ 5.2%│
 686 │                                                                 %      │     │
 687 │                                            ╶───────────────────────────┼─────┤
 688 │                                             Only certain times  Count  │  130│
 689 │                                             a year              Column │ 1.9%│
 690 │                                                                 %      │     │
 691 │                                            ╶───────────────────────────┼─────┤
 692 │                                             Never               Count  │  540│
 693 │                                                                 Column │ 7.7%│
 694 │                                                                 %      │     │
 695 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 696
 697                                   Custom Tables
 698 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 699 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 700 │motor vehicle?                                                          │66.9%│
 701 │                                                   Several days a week  │ 1274│
 702 │                                                                        │18.3%│
 703 │                                                   Once a week or less  │  361│
 704 │                                                                        │ 5.2%│
 705 │                                                   Only certain times a │  130│
 706 │                                                   year                 │ 1.9%│
 707 │                                                   Never                │  540│
 708 │                                                                        │ 7.7%│
 709 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 710 ])
 711 AT_CLEANUP
 712
 713 AT_SETUP([CTABLES simple totals])
 714 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 715 AT_DATA([ctables.sps],
 716 [[GET 'nhtsa.sav'.
 717 CTABLES /TABLE=qn17
 718     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 719 DESCRIPTIVES qn18/STATISTICS=MEAN.
 720 CTABLES /TABLE=region > qn18 [MEAN, COUNT, VALIDN, TOTALN]
 721     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 722 ]])
 723 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 724                                   Custom Tables
 725 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 726 │                                                                        │Count│
 727 ├────────────────────────────────────────────────────────────────────────┼─────┤
 728 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 729 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 730 │                                                      Light beer        │  620│
 731 │                                                      Wine              │ 1418│
 732 │                                                      Wine coolers      │  137│
 733 │                                                      Hard liquor or    │  888│
 734 │                                                      mixed drinks      │     │
 735 │                                                      Flavored malt     │   83│
 736 │                                                      drinks            │     │
 737 │                                                      Number responding │ 4221│
 738 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 739
 740                              Descriptive Statistics
 741 ╭────────────────────────────────────────────────────────────────────┬────┬────╮
 742 │                                                                    │  N │Mean│
 743 ├────────────────────────────────────────────────────────────────────┼────┼────┤
 744 │18. When you drink ANSWERFROM(QN17R1), about how many               │4218│4.62│
 745 │ANSWERFROM(QN17R2) do you usually drink per sitting?                │    │    │
 746 │Valid N (listwise)                                                  │6999│    │
 747 │Missing N (listwise)                                                │2781│    │
 748 ╰────────────────────────────────────────────────────────────────────┴────┴────╯
 749
 750                                   Custom Tables
 751 ╭──────────────────────────────────────────────────────┬────┬─────┬──────┬─────╮
 752 │                                                      │    │     │ Valid│Total│
 753 │                                                      │Mean│Count│   N  │  N  │
 754 ├──────────────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 755 │Region NE       18. When you drink ANSWERFROM(QN17R1),│4.36│ 1409│   949│ 1409│
 756 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 757 │                you usually drink per sitting?        │    │     │      │     │
 758 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 759 │       MW       18. When you drink ANSWERFROM(QN17R1),│4.67│ 1654│  1027│ 1654│
 760 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 761 │                you usually drink per sitting?        │    │     │      │     │
 762 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 763 │       S        18. When you drink ANSWERFROM(QN17R1),│4.71│ 2390│  1287│ 2390│
 764 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 765 │                you usually drink per sitting?        │    │     │      │     │
 766 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 767 │       W        18. When you drink ANSWERFROM(QN17R1),│4.69│ 1546│   955│ 1546│
 768 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 769 │                you usually drink per sitting?        │    │     │      │     │
 770 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 771 │       All      18. When you drink ANSWERFROM(QN17R1),│4.62│ 6999│  4218│ 6999│
 772 │       regions  about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 773 │                you usually drink per sitting?        │    │     │      │     │
 774 ╰──────────────────────────────────────────────────────┴────┴─────┴──────┴─────╯
 775 ])
 776 AT_CLEANUP
 777
 778 AT_SETUP([CTABLES subtotals])
 779 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 780 AT_DATA([ctables.sps],
 781 [[GET 'nhtsa.sav'.
 782 CTABLES /TABLE=qn105ba BY qns1
 783     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 784 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 785     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 786 CTABLES /TABLE=qn105ba BY qns1
 787     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 788     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 789 ]])
 790 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 791                                                       Custom Tables
 792 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 793 │                                                         │ S1. Including yourself, how many members of this household │
 794 │                                                         │                    are age 16 or older?                    │
 795 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 796 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 797 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 798 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 799 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 800 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 801 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 802 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 803 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 804 │                                              likely     │       │       │         │       │        │      │          │
 805 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 806 │                                              unlikely   │       │       │         │       │        │      │          │
 807 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 808 │                                              unlikely   │       │       │         │       │        │      │          │
 809 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 810
 811                                                       Custom Tables
 812 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 813 │                                                        │  S1. Including yourself, how many members of this household │
 814 │                                                        │                     are age 16 or older?                    │
 815 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 816 │                                                        │        │        │        │        │       │        │  6 or  │
 817 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 818 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 819 │                                                        │        │        │        │        │ Column│        │        │
 820 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 821 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 822 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 823 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 824 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 825 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 826 │                                             likely     │        │        │        │        │       │        │        │
 827 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 828 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 829 │                                             unlikely   │        │        │        │        │       │        │        │
 830 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 831 │                                             unlikely   │        │        │        │        │       │        │        │
 832 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 833 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 834
 835                                                       Custom Tables
 836 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 837 │                                                         │ S1. Including yourself, how many members of this household │
 838 │                                                         │                    are age 16 or older?                    │
 839 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 840 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 841 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 842 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 843 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 844 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 845 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 846 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 847 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 848 │                                              likely     │       │       │         │       │        │      │          │
 849 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 850 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 851 │                                              unlikely   │       │       │         │       │        │      │          │
 852 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 853 │                                              unlikely   │       │       │         │       │        │      │          │
 854 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 855 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 856 ])
 857 AT_CLEANUP
 858
 859 AT_SETUP([CTABLES PCOMPUTE])
 860 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 861 AT_DATA([ctables.sps],
 862 [[GET 'nhtsa.sav'.
 863 CTABLES
 864     /PCOMPUTE &x=EXPR([3] + [4])
 865     /PCOMPUTE &y=EXPR([4] + [5])
 866     /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES FORMAT=COUNT F8.2
 867     /PPROPERTIES &y LABEL='4+5'
 868     /TABLE=qn105ba BY qns1
 869     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
 870 ]])
 871 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 872                                                       Custom Tables
 873 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 874 │                                                        │  S1. Including yourself, how many members of this household │
 875 │                                                        │                     are age 16 or older?                    │
 876 │                                                        ├───────┬───────┬──────────┬───────┬────────┬──────┬──────────┤
 877 │                                                        │   1   │   2   │ Subtotal │   5   │   3+4  │  4+5 │ Subtotal │
 878 │                                                        ├───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
 879 │                                                        │ Count │ Count │   Count  │ Count │  Count │ Count│   Count  │
 880 ├────────────────────────────────────────────────────────┼───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
 881 │105b. How likely is it that drivers who have Almost     │    147│    246│       393│     11│   81.00│    30│        92│
 882 │had too much to drink to drive safely will   certain    │       │       │          │       │        │      │          │
 883 │A. Get stopped by the police?                Very likely│    384│    552│       936│     14│  171.00│    65│       185│
 884 │                                             Somewhat   │    590│   1249│      1839│     20│  265.00│    92│       285│
 885 │                                             likely     │       │       │          │       │        │      │          │
 886 │                                             Somewhat   │    278│    647│       925│      6│  116.00│    38│       122│
 887 │                                             unlikely   │       │       │          │       │        │      │          │
 888 │                                             Very       │    141│    290│       431│      4│   59.00│    22│        63│
 889 │                                             unlikely   │       │       │          │       │        │      │          │
 890 ╰────────────────────────────────────────────────────────┴───────┴───────┴──────────┴───────┴────────┴──────┴──────────╯
 891 ])
 892 AT_CLEANUP
 893
 894 AT_SETUP([CTABLES CLABELS])
 895 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 896 AT_DATA([ctables.sps],
 897 [[GET 'nhtsa.sav'.
 898 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
 899 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
 900 ]])
 901 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 902                                                       Custom Tables
 903 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
 904 │       │                                                 S3a. GENDER:                                                 │
 905 │       ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
 906 │       │                         Male                         │                         Female                        │
 907 │       ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
 908 │       │  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 │
 909 │       │ younger │   25  │  35  │  45  │  55  │   65  │ older │  younger │  25  │   35  │  45  │  55  │  65  │  older │
 910 │       ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 911 │       │  Count  │ Count │ Count│ Count│ Count│ Count │ Count │   Count  │ Count│ Count │ Count│ Count│ Count│  Count │
 912 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 913 │Age    │        0│    594│   476│   489│   526│    516│    531│         0│   505│    491│   548│   649│   731│     943│
 914 │group  │         │       │      │      │      │       │       │          │      │       │      │      │      │        │
 915 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
 916
 917                 Custom Tables
 918 ╭──────────────────────────────┬────────────╮
 919 │                              │S3a. GENDER:│
 920 │                              ├────────────┤
 921 │                              │    Count   │
 922 ├──────────────────────────────┼────────────┤
 923 │Age group 15 or younger Male  │           0│
 924 │                        Female│           0│
 925 │         ╶────────────────────┼────────────┤
 926 │          16 to 25      Male  │         594│
 927 │                        Female│         505│
 928 │         ╶────────────────────┼────────────┤
 929 │          26 to 35      Male  │         476│
 930 │                        Female│         491│
 931 │         ╶────────────────────┼────────────┤
 932 │          36 to 45      Male  │         489│
 933 │                        Female│         548│
 934 │         ╶────────────────────┼────────────┤
 935 │          46 to 55      Male  │         526│
 936 │                        Female│         649│
 937 │         ╶────────────────────┼────────────┤
 938 │          56 to 65      Male  │         516│
 939 │                        Female│         731│
 940 │         ╶────────────────────┼────────────┤
 941 │          66 or older   Male  │         531│
 942 │                        Female│         943│
 943 ╰──────────────────────────────┴────────────╯
 944 ])
 945 AT_CLEANUP
 946
 947 AT_SETUP([CTABLES missing values])
 948 AT_DATA([ctables.sps],
 949 [[DATA LIST LIST NOTABLE/x y.
 950 BEGIN DATA.
 951 1 1
 952 1 2
 953 1 3
 954 1 4
 955 1 5
 956 1 .
 957 2 1
 958 2 2
 959 2 3
 960 2 4
 961 2 5
 962 2 .
 963 3 1
 964 3 2
 965 3 3
 966 3 4
 967 3 5
 968 3 .
 969 4 1
 970 4 2
 971 4 3
 972 4 4
 973 4 5
 974 4 .
 975 5 1
 976 5 2
 977 5 3
 978 5 4
 979 5 5
 980 5 .
 981 . 1
 982 . 2
 983 . 3
 984 . 4
 985 . 5
 986 . .
 987 END DATA.
 988 MISSING VALUES x (1, 2) y (2, 3).
 989 VARIABLE LEVEL ALL (NOMINAL).
 990
 991 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
 992     /CATEGORIES VARIABLES=ALL TOTAL=YES.
 993 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
 994     /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
 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=ALL TOTAL=YES
 997     /SLABELS POSITION=ROW.
 998 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]]
 999     /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE
1000     /SLABELS POSITION=ROW.
1001 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]]
1002     /CATEGORIES VARIABLES=x [1, 2, 3, 4] TOTAL=YES
1003     /CATEGORIES VARIABLES=y [1, 3, 4, 5] TOTAL=YES
1004     /SLABELS POSITION=ROW.
1005 ]])
1006 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1007                                Custom Tables
1008 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1009 │       │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1010 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1011 │x 3.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1012 │  4.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1013 │  5.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1014 │  Total│   18│  100.0%│          100.0%│          100.0%│     18│     36│
1015 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1016 dnl Note that Column Total N % doesn't add up to 100 because missing
1017 dnl values are included in the total but not shown as a category and this
1018 dnl is expected behavior.
1019
1020                                Custom Tables
1021 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1022 │       │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1023 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1024 │x 1.00 │    6│   20.0%│             .0%│           16.7%│       │       │
1025 │  2.00 │    6│   20.0%│             .0%│           16.7%│       │       │
1026 │  3.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1027 │  4.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1028 │  5.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1029 │  Total│   30│  100.0%│          100.0%│          100.0%│     18│     36│
1030 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1031 dnl Note that Column Total N % doesn't add up to 100 because system-missing
1032 dnl values are included in the total but not shown as a category and this
1033 dnl is expected behavior.
1034
1035                      Custom Tables
1036 ╭────────────────────────┬───────────────────────────╮
1037 │                        │             y             │
1038 │                        ├──────┬──────┬──────┬──────┤
1039 │                        │ 1.00 │ 4.00 │ 5.00 │ Total│
1040 ├────────────────────────┼──────┼──────┼──────┼──────┤
1041 │x 3.00  Count           │     1│     1│     1│     3│
1042 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1043 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1044 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1045 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1046 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1047 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1048 │        Valid N         │      │      │      │     3│
1049 │        Total N         │      │      │      │     6│
1050 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1051 │  4.00  Count           │     1│     1│     1│     3│
1052 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1053 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1054 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1055 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1056 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1057 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1058 │        Valid N         │      │      │      │     3│
1059 │        Total N         │      │      │      │     6│
1060 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1061 │  5.00  Count           │     1│     1│     1│     3│
1062 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1063 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1064 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1065 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1066 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1067 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1068 │        Valid N         │      │      │      │     3│
1069 │        Total N         │      │      │      │     6│
1070 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1071 │  Total Count           │     3│     3│     3│     9│
1072 │        Column %        │100.0%│100.0%│100.0%│     .│
1073 │        Column Valid N %│100.0%│100.0%│100.0%│     .│
1074 │        Column Total N %│100.0%│100.0%│100.0%│     .│
1075 │        Row %           │     .│     .│     .│     .│
1076 │        Row Valid N %   │     .│     .│     .│     .│
1077 │        Row Total N %   │     .│     .│     .│     .│
1078 │        Valid N         │     3│     3│     3│     9│
1079 │        Total N         │     6│     6│     6│    36│
1080 ╰────────────────────────┴──────┴──────┴──────┴──────╯
1081
1082                             Custom Tables
1083 ╭────────────────────────┬─────────────────────────────────────────╮
1084 │                        │                    y                    │
1085 │                        ├──────┬──────┬──────┬──────┬──────┬──────┤
1086 │                        │ 1.00 │ 2.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1087 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1088 │x 1.00  Count           │     1│     1│     1│     1│     1│     5│
1089 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1090 │        Column Valid N %│   .0%│     .│     .│   .0%│   .0%│     .│
1091 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1092 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1093 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1094 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1095 │        Valid N         │      │      │      │      │      │     0│
1096 │        Total N         │      │      │      │      │      │     6│
1097 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1098 │  2.00  Count           │     1│     1│     1│     1│     1│     5│
1099 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1100 │        Column Valid N %│   .0%│     .│     .│   .0%│   .0%│     .│
1101 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1102 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1103 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1104 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1105 │        Valid N         │      │      │      │      │      │     0│
1106 │        Total N         │      │      │      │      │      │     6│
1107 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1108 │  3.00  Count           │     1│     1│     1│     1│     1│     5│
1109 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1110 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1111 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1112 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1113 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1114 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1115 │        Valid N         │      │      │      │      │      │     3│
1116 │        Total N         │      │      │      │      │      │     6│
1117 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1118 │  4.00  Count           │     1│     1│     1│     1│     1│     5│
1119 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1120 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1121 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1122 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1123 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1124 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1125 │        Valid N         │      │      │      │      │      │     3│
1126 │        Total N         │      │      │      │      │      │     6│
1127 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1128 │  5.00  Count           │     1│     1│     1│     1│     1│     5│
1129 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1130 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1131 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1132 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1133 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1134 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1135 │        Valid N         │      │      │      │      │      │     3│
1136 │        Total N         │      │      │      │      │      │     6│
1137 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1138 │  Total Count           │     5│     5│     5│     5│     5│    25│
1139 │        Column %        │100.0%│100.0%│100.0%│100.0%│100.0%│     .│
1140 │        Column Valid N %│100.0%│     .│     .│100.0%│100.0%│     .│
1141 │        Column Total N %│100.0%│100.0%│100.0%│100.0%│100.0%│     .│
1142 │        Row %           │     .│     .│     .│     .│     .│     .│
1143 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1144 │        Row Total N %   │     .│     .│     .│     .│     .│     .│
1145 │        Valid N         │     3│     0│     0│     3│     3│     9│
1146 │        Total N         │     6│     6│     6│     6│     6│    36│
1147 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────╯
1148
1149                         Custom Tables
1150 ╭────────────────────────┬──────────────────────────────────╮
1151 │                        │                 y                │
1152 │                        ├──────┬──────┬──────┬──────┬──────┤
1153 │                        │ 1.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1154 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┤
1155 │x 1.00  Count           │     1│     1│     1│     1│     4│
1156 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1157 │        Column Valid N %│   .0%│     .│   .0%│   .0%│     .│
1158 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1159 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1160 │        Row Valid N %   │     .│     .│     .│     .│     .│
1161 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1162 │        Valid N         │      │      │      │      │     0│
1163 │        Total N         │      │      │      │      │     6│
1164 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1165 │  2.00  Count           │     1│     1│     1│     1│     4│
1166 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1167 │        Column Valid N %│   .0%│     .│   .0%│   .0%│     .│
1168 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1169 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1170 │        Row Valid N %   │     .│     .│     .│     .│     .│
1171 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1172 │        Valid N         │      │      │      │      │     0│
1173 │        Total N         │      │      │      │      │     6│
1174 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1175 │  3.00  Count           │     1│     1│     1│     1│     4│
1176 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1177 │        Column Valid N %│ 50.0%│     .│ 50.0%│ 50.0%│     .│
1178 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1179 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1180 │        Row Valid N %   │ 33.3%│   .0%│ 33.3%│ 33.3%│100.0%│
1181 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1182 │        Valid N         │      │      │      │      │     3│
1183 │        Total N         │      │      │      │      │     6│
1184 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1185 │  4.00  Count           │     1│     1│     1│     1│     4│
1186 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1187 │        Column Valid N %│ 50.0%│     .│ 50.0%│ 50.0%│     .│
1188 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1189 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1190 │        Row Valid N %   │ 33.3%│   .0%│ 33.3%│ 33.3%│100.0%│
1191 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1192 │        Valid N         │      │      │      │      │     3│
1193 │        Total N         │      │      │      │      │     6│
1194 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1195 │  Total Count           │     4│     4│     4│     4│    16│
1196 │        Column %        │100.0%│100.0%│100.0%│100.0%│     .│
1197 │        Column Valid N %│100.0%│     .│100.0%│100.0%│     .│
1198 │        Column Total N %│100.0%│100.0%│100.0%│100.0%│     .│
1199 │        Row %           │     .│     .│     .│     .│     .│
1200 │        Row Valid N %   │     .│     .│     .│     .│     .│
1201 │        Row Total N %   │     .│     .│     .│     .│     .│
1202 │        Valid N         │     2│     0│     2│     2│     6│
1203 │        Total N         │     5│     5│     5│     5│    30│
1204 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────╯
1205 ])
1206 AT_CLEANUP
1207
1208 AT_SETUP([CTABLES SMISSING=LISTWISE])
1209 AT_KEYWORDS([SMISSING LISTWISE])
1210 AT_DATA([ctables.sps],
1211 [[DATA LIST LIST NOTABLE/x y z.
1212 BEGIN DATA.
1213 1  . 40
1214 1 10 50
1215 1 20 60
1216 1  .  .
1217 1 30  .
1218 END DATA.
1219 VARIABLE LEVEL x (NOMINAL).
1220
1221 CTABLES /TABLE (y + z) > x.
1222 CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
1223
1224 * The following doesn't come out as listwise because the tables are
1225 separate, not linked by an > operator.
1226 CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
1227 ]])
1228 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1229   Custom Tables
1230 ╭────────┬─────╮
1231 │        │ Mean│
1232 ├────────┼─────┤
1233 │y x 1.00│20.00│
1234 ├────────┼─────┤
1235 │z x 1.00│50.00│
1236 ╰────────┴─────╯
1237
1238   Custom Tables
1239 ╭────────┬─────╮
1240 │        │ Mean│
1241 ├────────┼─────┤
1242 │y x 1.00│15.00│
1243 ├────────┼─────┤
1244 │z x 1.00│55.00│
1245 ╰────────┴─────╯
1246
1247   Custom Tables
1248 ╭────────┬─────╮
1249 │        │ Mean│
1250 ├────────┼─────┤
1251 │y x 1.00│20.00│
1252 ├────────┼─────┤
1253 │z x 1.00│50.00│
1254 ╰────────┴─────╯
1255 ])
1256 AT_CLEANUP