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