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

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