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

   1 AT_BANNER([CTABLES])
   2
   3 dnl Features not yet implemented:
   4 dnl
   5 dnl - SPLIT FILE with SEPARATE splits
   6 dnl - Definition of columns/rows when labels are rotated from one axis to another.
   7 dnl - Preprocessing to distinguish categorical from scale.
   8 dnl - Summary functions:
   9 dnl   * areaPCT.SUM and UareaPCT.SUM functions.
  10 dnl - PCOMPUTE:
  11 dnl   * multi-dimensional (multiple CCT_POSTCOMPUTE in one cell)
  12 dnl   * dates
  13 dnl
  14 dnl Features not yet tested:
  15 dnl - Parsing (positive and negative)
  16 dnl - String variables and values
  17 dnl - Testing details of missing value handling in summaries.
  18 dnl - test CLABELS ROWLABELS=LAYER.
  19 dnl - Test VLABELS.
  20 dnl - Test WEIGHT and adjustment weights.
  21 dnl - EMPTY=INCLUDE For string ranges.
  22 dnl - Summary functions:
  23 dnl   * Separate summary functions for totals and subtotals.
  24 dnl   * )CILEVEL in summary label specification
  25 dnl Category sorting:
  26 dnl   * VALUE
  27 dnl   * LABEL
  28 dnl   * ascending/descending
  29 dnl - CATEGORIES:
  30 dnl   * String values
  31 dnl   * Date values
  32 dnl   * THRU (numeric ranges)
  33 dnl   * THRU (string ranges)
  34 dnl   * OTHERNM
  35 dnl - FORMAT:
  36 dnl   * MINCOLWIDTH, MAXCOLWIDTH, UNITS.
  37 dnl   * EMPTY.
  38 dnl   * MISSING.
  39 dnl - HIDESMALLCOUNTS.
  40 dnl - Date/time variables and values
  41 dnl - Special formats for summary functions: NEGPAREN, NEQUAL, PAREN, PCTPAREN.
  42 dnl - TITLES: )DATE, )TIME, )TABLE.
  43 dnl - Test PCOMPUTE:
  44 dnl   * PCOMPUTE for more than one kind of summary (e.g. [COUNT, ROWPCT]).
  45 dnl   * MISSING, OTHERNM
  46 dnl   * strings and string ranges
  47 dnl - PPROPERTIES:
  48 dnl   * )LABEL[N].
  49 dnl - Summary functions:
  50 dnl   * U-prefix for unweighted summaries.
  51 dnl
  52 dnl Not for v1:
  53 dnl - Multiple response sets
  54 dnl - MRSETS subcommand.
  55 dnl - CATEGORIES: Special case for explicit category specifications and multiple dichotomy sets.
  56 dnl - SIGTEST
  57 dnl - COMPARETEST
  58 dnl - Summary functions:
  59 dnl   * .LCL and .UCL suffixes.
  60 dnl   * .SE suffixes.
  61 dnl - CATEGORIES:
  62 dnl   * Data-dependent sorting.
  63 dnl
  64 dnl
  65 dnl Bug:
  66 dnl     CTABLES /TABLE=qnd1 [MEAN, MEDIAN] BY qns3a.
  67 dnl produces a bad median:
  68 dnl                     Custom Tables
  69 dnl +--------------------------+-----------------------+
  70 dnl |                          |      S3a. GENDER:     |
  71 dnl |                          +-----------+-----------+
  72 dnl |                          |    Male   |   Female  |
  73 dnl |                          +----+------+----+------+
  74 dnl |                          |Mean|Median|Mean|Median|
  75 dnl +--------------------------+----+------+----+------+
  76 dnl |D1. AGE: What is your age?|  46|   999|  50|   999|
  77 dnl +--------------------------+----+------+----+------+
  78
  79
  80
  81 # AT_SETUP([CTABLES parsing])
  82 # AT_DATA([ctables.sps],
  83 # [[DATA LIST LIST NOTABLE /x y z.
  84 # CTABLES /TABLE=(x + y) > z.
  85 # CTABLES /TABLE=(x[c] + y[c]) > z.
  86 # CTABLES /TABLE=(x + y) > z[c].
  87 # CTABLES /TABLE=x BY y BY z.
  88 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  89 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  90 # ]])
  91 # AT_CHECK([pspp ctables.sps])
  92 # AT_CLEANUP
  93
  94 AT_SETUP([CTABLES one categorical variable])
  95 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  96 AT_DATA([ctables.sps],
  97 [[GET 'nhtsa.sav'.
  98 CTABLES /TABLE qn1.
  99 CTABLES /TABLE BY qn1.
 100 CTABLES /TABLE BY BY qn1.
 101 ]])
 102 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 103                                   Custom Tables
 104 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 105 │                                                                        │Count│
 106 ├────────────────────────────────────────────────────────────────────────┼─────┤
 107 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 108 │motor vehicle?                                     Several days a week  │ 1274│
 109 │                                                   Once a week or less  │  361│
 110 │                                                   Only certain times a │  130│
 111 │                                                   year                 │     │
 112 │                                                   Never                │  540│
 113 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 114
 115                                   Custom Tables
 116 ╭──────────────────────────────────────────────────────────────────────────────╮
 117 │        1. How often do you usually drive a car or other motor vehicle?       │
 118 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
 119 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
 120 │Every day│       week       │       less       │          year          │Never│
 121 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 122 │  Count  │       Count      │       Count      │          Count         │Count│
 123 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
 124 │     4667│              1274│               361│                     130│  540│
 125 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
 126
 127 Custom Tables
 128 Every day
 129 ╭─────╮
 130 │Count│
 131 ├─────┤
 132 │ 4667│
 133 ╰─────╯
 134 ])
 135 AT_CLEANUP
 136
 137 AT_SETUP([CTABLES one scale variable])
 138 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 139 AT_DATA([ctables.sps],
 140 [[GET 'nhtsa.sav'.
 141 CTABLES /TABLE qnd1[COUNT, VALIDN, TOTALN, MEAN, STDDEV, MINIMUM, MAXIMUM].
 142 CTABLES /TABLE BY qnd1.
 143 CTABLES /TABLE BY BY qnd1.
 144 ]])
 145 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 146                                   Custom Tables
 147 ╭──────────────────────┬─────┬───────┬───────┬────┬────────────┬───────┬───────╮
 148 │                      │     │       │       │    │     Std    │       │       │
 149 │                      │Count│Valid N│Total N│Mean│  Deviation │Minimum│Maximum│
 150 ├──────────────────────┼─────┼───────┼───────┼────┼────────────┼───────┼───────┤
 151 │D1. AGE: What is your │ 6999│   6930│   6999│  48│          19│     16│     86│
 152 │age?                  │     │       │       │    │            │       │       │
 153 ╰──────────────────────┴─────┴───────┴───────┴────┴────────────┴───────┴───────╯
 154
 155         Custom Tables
 156 ╭──────────────────────────╮
 157 │D1. AGE: What is your age?│
 158 ├──────────────────────────┤
 159 │           Mean           │
 160 ├──────────────────────────┤
 161 │                        48│
 162 ╰──────────────────────────╯
 163
 164 Custom Tables
 165 D1. AGE: What is your age?
 166 ╭────╮
 167 │Mean│
 168 ├────┤
 169 │  48│
 170 ╰────╯
 171 ])
 172 AT_CLEANUP
 173
 174 AT_SETUP([CTABLES simple stacking])
 175 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 176 AT_DATA([ctables.sps],
 177 [[GET 'nhtsa.sav'.
 178 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 179 ]])
 180 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 181                                   Custom Tables
 182 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 183 │                                                               │ S3a. GENDER: │
 184 │                                                               ├──────┬───────┤
 185 │                                                               │ Male │ Female│
 186 │                                                               ├──────┼───────┤
 187 │                                                               │Column│ Column│
 188 │                                                               │   %  │   %   │
 189 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 190 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 191 │too much to drink to drive safely will A. Get      certain     │      │       │
 192 │stopped by the police?                             Very likely │   21%│    22%│
 193 │                                                   Somewhat    │   38%│    42%│
 194 │                                                   likely      │      │       │
 195 │                                                   Somewhat    │   21%│    18%│
 196 │                                                   unlikely    │      │       │
 197 │                                                   Very        │   10%│     8%│
 198 │                                                   unlikely    │      │       │
 199 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 200 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 201 │too much to drink to drive safely will B. Have an  certain     │      │       │
 202 │accident?                                          Very likely │   36%│    45%│
 203 │                                                   Somewhat    │   39%│    32%│
 204 │                                                   likely      │      │       │
 205 │                                                   Somewhat    │    9%│     4%│
 206 │                                                   unlikely    │      │       │
 207 │                                                   Very        │    3%│     2%│
 208 │                                                   unlikely    │      │       │
 209 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 210 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 211 │too much to drink to drive safely will C. Be       certain     │      │       │
 212 │convicted for drunk driving?                       Very likely │   32%│    28%│
 213 │                                                   Somewhat    │   27%│    32%│
 214 │                                                   likely      │      │       │
 215 │                                                   Somewhat    │   15%│    15%│
 216 │                                                   unlikely    │      │       │
 217 │                                                   Very        │    9%│     9%│
 218 │                                                   unlikely    │      │       │
 219 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 220 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 221 │too much to drink to drive safely will D. Be       certain     │      │       │
 222 │arrested for drunk driving?                        Very likely │   26%│    27%│
 223 │                                                   Somewhat    │   32%│    35%│
 224 │                                                   likely      │      │       │
 225 │                                                   Somewhat    │   17%│    15%│
 226 │                                                   unlikely    │      │       │
 227 │                                                   Very        │    9%│     7%│
 228 │                                                   unlikely    │      │       │
 229 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 230 ])
 231 AT_CLEANUP
 232
 233 AT_SETUP([CTABLES show or hide empty categories])
 234 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 235 AT_DATA([ctables.sps],
 236 [[GET 'nhtsa.sav'.
 237 IF (qn105ba = 2) qn105ba = 1.
 238 IF (qns3a = 1) qns3a = 2.
 239 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 240 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 241     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 242 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 243     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 244 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 245     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 246 ]])
 247 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 248                                   Custom Tables
 249 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 250 │                                                              │  S3a. GENDER: │
 251 │                                                              ├───────┬───────┤
 252 │                                                              │  Male │ Female│
 253 │                                                              ├───────┼───────┤
 254 │                                                              │ Column│ Column│
 255 │                                                              │   %   │   %   │
 256 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 257 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 258 │too much to drink to drive safely will A. Get      certain    │       │       │
 259 │stopped by the police?                             Very likely│      .│     0%│
 260 │                                                   Somewhat   │      .│    40%│
 261 │                                                   likely     │       │       │
 262 │                                                   Somewhat   │      .│    19%│
 263 │                                                   unlikely   │       │       │
 264 │                                                   Very       │      .│     9%│
 265 │                                                   unlikely   │       │       │
 266 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 267
 268                                   Custom Tables
 269 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 270 │                                                              │  S3a. GENDER: │
 271 │                                                              ├───────┬───────┤
 272 │                                                              │  Male │ Female│
 273 │                                                              ├───────┼───────┤
 274 │                                                              │ Column│ Column│
 275 │                                                              │   %   │   %   │
 276 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 277 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 278 │too much to drink to drive safely will A. Get      certain    │       │       │
 279 │stopped by the police?                             Somewhat   │      .│    40%│
 280 │                                                   likely     │       │       │
 281 │                                                   Somewhat   │      .│    19%│
 282 │                                                   unlikely   │       │       │
 283 │                                                   Very       │      .│     9%│
 284 │                                                   unlikely   │       │       │
 285 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 286
 287                                   Custom Tables
 288 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 289 │                                                                    │   S3a.  │
 290 │                                                                    │ GENDER: │
 291 │                                                                    ├─────────┤
 292 │                                                                    │  Female │
 293 │                                                                    ├─────────┤
 294 │                                                                    │ Column %│
 295 ├────────────────────────────────────────────────────────────────────┼─────────┤
 296 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 297 │much to drink to drive safely will A. Get stopped by    certain     │         │
 298 │the police?                                             Very likely │       0%│
 299 │                                                        Somewhat    │      40%│
 300 │                                                        likely      │         │
 301 │                                                        Somewhat    │      19%│
 302 │                                                        unlikely    │         │
 303 │                                                        Very        │       9%│
 304 │                                                        unlikely    │         │
 305 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 306
 307                                   Custom Tables
 308 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 309 │                                                                    │   S3a.  │
 310 │                                                                    │ GENDER: │
 311 │                                                                    ├─────────┤
 312 │                                                                    │  Female │
 313 │                                                                    ├─────────┤
 314 │                                                                    │ Column %│
 315 ├────────────────────────────────────────────────────────────────────┼─────────┤
 316 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 317 │much to drink to drive safely will A. Get stopped by    certain     │         │
 318 │the police?                                             Somewhat    │      40%│
 319 │                                                        likely      │         │
 320 │                                                        Somewhat    │      19%│
 321 │                                                        unlikely    │         │
 322 │                                                        Very        │       9%│
 323 │                                                        unlikely    │         │
 324 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 325 ])
 326 AT_CLEANUP
 327
 328 AT_SETUP([CTABLES simple nesting])
 329 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 330 AT_DATA([ctables.sps],
 331 [[GET 'nhtsa.sav'.
 332 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 333   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 334 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 335   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 336   /CLABELS ROW=OPPOSITE.
 337 ]])
 338 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 339                                   Custom Tables
 340 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 341 │                                                                 │     │ Table│
 342 │                                                                 │Count│   %  │
 343 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 344 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 345 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 346 │drive safely will A. Get stopped by                        Total │  700│   10%│
 347 │the police?                           ╶──────────────────────────┼─────┼──────┤
 348 │                                       Very       S3a.     Male  │  660│   10%│
 349 │                                       likely     GENDER:  Female│  842│   12%│
 350 │                                                           Total │ 1502│   22%│
 351 │                                      ╶──────────────────────────┼─────┼──────┤
 352 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 353 │                                       likely     GENDER:  Female│ 1589│   23%│
 354 │                                                           Total │ 2763│   40%│
 355 │                                      ╶──────────────────────────┼─────┼──────┤
 356 │                                       Somewhat   S3a.     Male  │  640│    9%│
 357 │                                       unlikely   GENDER:  Female│  667│   10%│
 358 │                                                           Total │ 1307│   19%│
 359 │                                      ╶──────────────────────────┼─────┼──────┤
 360 │                                       Very       S3a.     Male  │  311│    5%│
 361 │                                       unlikely   GENDER:  Female│  298│    4%│
 362 │                                                           Total │  609│    9%│
 363 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 364 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 365 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 366 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 367 │                                      ╶──────────────────────────┼─────┼──────┤
 368 │                                       Very       S3a.     Male  │ 1104│   16%│
 369 │                                       likely     GENDER:  Female│ 1715│   25%│
 370 │                                                           Total │ 2819│   41%│
 371 │                                      ╶──────────────────────────┼─────┼──────┤
 372 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 373 │                                       likely     GENDER:  Female│ 1214│   18%│
 374 │                                                           Total │ 2417│   35%│
 375 │                                      ╶──────────────────────────┼─────┼──────┤
 376 │                                       Somewhat   S3a.     Male  │  262│    4%│
 377 │                                       unlikely   GENDER:  Female│  168│    2%│
 378 │                                                           Total │  430│    6%│
 379 │                                      ╶──────────────────────────┼─────┼──────┤
 380 │                                       Very       S3a.     Male  │   81│    1%│
 381 │                                       unlikely   GENDER:  Female│   59│    1%│
 382 │                                                           Total │  140│    2%│
 383 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 384 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 385 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 386 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 387 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 388 │                                       Very       S3a.     Male  │  988│   14%│
 389 │                                       likely     GENDER:  Female│ 1049│   15%│
 390 │                                                           Total │ 2037│   30%│
 391 │                                      ╶──────────────────────────┼─────┼──────┤
 392 │                                       Somewhat   S3a.     Male  │  822│   12%│
 393 │                                       likely     GENDER:  Female│ 1210│   18%│
 394 │                                                           Total │ 2032│   30%│
 395 │                                      ╶──────────────────────────┼─────┼──────┤
 396 │                                       Somewhat   S3a.     Male  │  446│    7%│
 397 │                                       unlikely   GENDER:  Female│  548│    8%│
 398 │                                                           Total │  994│   15%│
 399 │                                      ╶──────────────────────────┼─────┼──────┤
 400 │                                       Very       S3a.     Male  │  268│    4%│
 401 │                                       unlikely   GENDER:  Female│  354│    5%│
 402 │                                                           Total │  622│    9%│
 403 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 404 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 405 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 406 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 407 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 408 │                                       Very       S3a.     Male  │  805│   12%│
 409 │                                       likely     GENDER:  Female│ 1029│   15%│
 410 │                                                           Total │ 1834│   27%│
 411 │                                      ╶──────────────────────────┼─────┼──────┤
 412 │                                       Somewhat   S3a.     Male  │  975│   14%│
 413 │                                       likely     GENDER:  Female│ 1332│   19%│
 414 │                                                           Total │ 2307│   34%│
 415 │                                      ╶──────────────────────────┼─────┼──────┤
 416 │                                       Somewhat   S3a.     Male  │  535│    8%│
 417 │                                       unlikely   GENDER:  Female│  560│    8%│
 418 │                                                           Total │ 1095│   16%│
 419 │                                      ╶──────────────────────────┼─────┼──────┤
 420 │                                       Very       S3a.     Male  │  270│    4%│
 421 │                                       unlikely   GENDER:  Female│  279│    4%│
 422 │                                                           Total │  549│    8%│
 423 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 424
 425                                   Custom Tables
 426 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 427 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 428 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 429 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 430 │                                 │        │ Table│         │         │        │
 431 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 432 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 433 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 434 │GENDER:        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 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 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 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 450 │               is it that drivers│        │      │         │         │        │
 451 │               who have had too  │        │      │         │         │        │
 452 │               much to drink to  │        │      │         │         │        │
 453 │               drive safely will │        │      │         │         │        │
 454 │               A. Get stopped by │        │      │         │         │        │
 455 │               the police?       │        │      │         │         │        │
 456 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 457 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 458 │GENDER:        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 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 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 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 474 │               is it that drivers│        │      │         │         │        │
 475 │               who have had too  │        │      │         │         │        │
 476 │               much to drink to  │        │      │         │         │        │
 477 │               drive safely will │        │      │         │         │        │
 478 │               B. Have an        │        │      │         │         │        │
 479 │               accident?         │        │      │         │         │        │
 480 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 481 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 482 │GENDER:        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 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 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 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 498 │               is it that drivers│        │      │         │         │        │
 499 │               who have had too  │        │      │         │         │        │
 500 │               much to drink to  │        │      │         │         │        │
 501 │               drive safely will │        │      │         │         │        │
 502 │               C. Be convicted   │        │      │         │         │        │
 503 │               for drunk driving?│        │      │         │         │        │
 504 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 505 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 506 │GENDER:        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 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 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 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 522 │               is it that drivers│        │      │         │         │        │
 523 │               who have had too  │        │      │         │         │        │
 524 │               much to drink to  │        │      │         │         │        │
 525 │               drive safely will │        │      │         │         │        │
 526 │               D. Be arrested for│        │      │         │         │        │
 527 │               drunk driving?    │        │      │         │         │        │
 528 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 529 ])
 530 AT_CLEANUP
 531
 532 AT_SETUP([CTABLES nesting and scale variables])
 533 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 534 AT_DATA([ctables.sps],
 535 [[GET 'nhtsa.sav'.
 536 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 537 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 538 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 539   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 540 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 541 ]])
 542 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 543                                   Custom Tables
 544 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 545 │                                                                 │S3a. GENDER:│
 546 │                                                                 ├─────┬──────┤
 547 │                                                                 │ Male│Female│
 548 │                                                                 ├─────┼──────┤
 549 │                                                                 │ Mean│ Mean │
 550 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 551 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 552 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 553 │                                                  week           │     │      │
 554 │                                                  Once a week or │   44│    54│
 555 │                                                  less           │     │      │
 556 │                                                  Only certain   │   34│    41│
 557 │                                                  times a year   │     │      │
 558 │                                                  Never          │   39│    55│
 559 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 560
 561                                   Custom Tables
 562 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 563 │                                                         │Minimum│Maximum│Mean│
 564 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 565 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 566 │What is  GENDER:         months, has there been a        │       │       │    │
 567 │your                     time when you felt you          │       │       │    │
 568 │age?                     should cut down on your      No │     16│     86│  46│
 569 │                         drinking?                       │       │       │    │
 570 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 571 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 572 │                         months, has there been a        │       │       │    │
 573 │                         time when you felt you          │       │       │    │
 574 │                         should cut down on your      No │     16│     86│  48│
 575 │                         drinking?                       │       │       │    │
 576 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 577 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 578 │What is  GENDER:         months, has there been a        │       │       │    │
 579 │your                     time when people criticized  No │     16│     86│  46│
 580 │age?                     your drinking?                  │       │       │    │
 581 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 582 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 583 │                         months, has there been a        │       │       │    │
 584 │                         time when people criticized  No │     16│     86│  48│
 585 │                         your drinking?                  │       │       │    │
 586 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 587
 588                                   Custom Tables
 589 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 590 │                             │S1. Including yourself, how many members of this│
 591 │                             │         household are age 16 or older?         │
 592 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 593 │                             │      │      │      │      │      │      │ 6 or │
 594 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 595 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 596 │                             │Column│Column│Column│Column│Column│Column│Column│
 597 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 598 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 599 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 600 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 601 │SOURCE:     likely           │      │      │      │      │      │      │      │
 602 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 603 │            that     likely  │      │      │      │      │      │      │      │
 604 │            drivers          │      │      │      │      │      │      │      │
 605 │            who have         │      │      │      │      │      │      │      │
 606 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 607 │            much to  likely  │      │      │      │      │      │      │      │
 608 │            drink to         │      │      │      │      │      │      │      │
 609 │            drive            │      │      │      │      │      │      │      │
 610 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 611 │            will A.  unlikely│      │      │      │      │      │      │      │
 612 │            Get              │      │      │      │      │      │      │      │
 613 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 614 │            by the   unlikely│      │      │      │      │      │      │      │
 615 │            police?          │      │      │      │      │      │      │      │
 616 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 617
 618                                   Custom Tables
 619 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 620 │                                                              │    │    Std   │
 621 │                                                              │Mean│ Deviation│
 622 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 623 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 624 │group           typical month did you have one or more        │    │          │
 625 │                alcoholic beverages to drink?                 │    │          │
 626 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 627 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 628 │                typical month did you have one or more        │    │          │
 629 │                alcoholic beverages to drink?                 │    │          │
 630 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 631 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 632 │                typical month did you have one or more        │    │          │
 633 │                alcoholic beverages to drink?                 │    │          │
 634 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 635 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 636 │                typical month did you have one or more        │    │          │
 637 │                alcoholic beverages to drink?                 │    │          │
 638 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 639 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 640 │                typical month did you have one or more        │    │          │
 641 │                alcoholic beverages to drink?                 │    │          │
 642 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 643 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 644 │       older    typical month did you have one or more        │    │          │
 645 │                alcoholic beverages to drink?                 │    │          │
 646 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 647 ])
 648 AT_CLEANUP
 649
 650
 651 AT_SETUP([CTABLES SLABELS])
 652 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 653 AT_DATA([ctables.sps],
 654 [[GET 'nhtsa.sav'.
 655 CTABLES /TABLE qn1 [COUNT COLPCT].
 656 CTABLES /TABLE qn1 [COUNT COLPCT]
 657     /SLABELS POSITION=ROW.
 658 CTABLES /TABLE qn1 [COUNT COLPCT]
 659     /SLABELS POSITION=ROW VISIBLE=NO.
 660 ]])
 661 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 662                                   Custom Tables
 663 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 664 │                                                                │     │ Column│
 665 │                                                                │Count│   %   │
 666 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 667 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 668 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 669 │                                             Once a week or less│  361│   5.2%│
 670 │                                             Only certain times │  130│   1.9%│
 671 │                                             a year             │     │       │
 672 │                                             Never              │  540│   7.7%│
 673 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 674
 675                                   Custom Tables
 676 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 677 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 678 │other motor vehicle?                                             Column │66.9%│
 679 │                                                                 %      │     │
 680 │                                            ╶───────────────────────────┼─────┤
 681 │                                             Several days a week Count  │ 1274│
 682 │                                                                 Column │18.3%│
 683 │                                                                 %      │     │
 684 │                                            ╶───────────────────────────┼─────┤
 685 │                                             Once a week or less Count  │  361│
 686 │                                                                 Column │ 5.2%│
 687 │                                                                 %      │     │
 688 │                                            ╶───────────────────────────┼─────┤
 689 │                                             Only certain times  Count  │  130│
 690 │                                             a year              Column │ 1.9%│
 691 │                                                                 %      │     │
 692 │                                            ╶───────────────────────────┼─────┤
 693 │                                             Never               Count  │  540│
 694 │                                                                 Column │ 7.7%│
 695 │                                                                 %      │     │
 696 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 697
 698                                   Custom Tables
 699 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 700 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 701 │motor vehicle?                                                          │66.9%│
 702 │                                                   Several days a week  │ 1274│
 703 │                                                                        │18.3%│
 704 │                                                   Once a week or less  │  361│
 705 │                                                                        │ 5.2%│
 706 │                                                   Only certain times a │  130│
 707 │                                                   year                 │ 1.9%│
 708 │                                                   Never                │  540│
 709 │                                                                        │ 7.7%│
 710 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 711 ])
 712 AT_CLEANUP
 713
 714 AT_SETUP([CTABLES simple totals])
 715 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 716 AT_DATA([ctables.sps],
 717 [[GET 'nhtsa.sav'.
 718 CTABLES /TABLE=qn17
 719     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 720 DESCRIPTIVES qn18/STATISTICS=MEAN.
 721 CTABLES /TABLE=region > qn18 [MEAN, COUNT, VALIDN, TOTALN]
 722     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 723 ]])
 724 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 725                                   Custom Tables
 726 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 727 │                                                                        │Count│
 728 ├────────────────────────────────────────────────────────────────────────┼─────┤
 729 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 730 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 731 │                                                      Light beer        │  620│
 732 │                                                      Wine              │ 1418│
 733 │                                                      Wine coolers      │  137│
 734 │                                                      Hard liquor or    │  888│
 735 │                                                      mixed drinks      │     │
 736 │                                                      Flavored malt     │   83│
 737 │                                                      drinks            │     │
 738 │                                                      Number responding │ 4221│
 739 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 740
 741                              Descriptive Statistics
 742 ╭────────────────────────────────────────────────────────────────────┬────┬────╮
 743 │                                                                    │  N │Mean│
 744 ├────────────────────────────────────────────────────────────────────┼────┼────┤
 745 │18. When you drink ANSWERFROM(QN17R1), about how many               │4218│4.62│
 746 │ANSWERFROM(QN17R2) do you usually drink per sitting?                │    │    │
 747 │Valid N (listwise)                                                  │6999│    │
 748 │Missing N (listwise)                                                │2781│    │
 749 ╰────────────────────────────────────────────────────────────────────┴────┴────╯
 750
 751                                   Custom Tables
 752 ╭──────────────────────────────────────────────────────┬────┬─────┬──────┬─────╮
 753 │                                                      │    │     │ Valid│Total│
 754 │                                                      │Mean│Count│   N  │  N  │
 755 ├──────────────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 756 │Region NE       18. When you drink ANSWERFROM(QN17R1),│4.36│ 1409│   949│ 1409│
 757 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 758 │                you usually drink per sitting?        │    │     │      │     │
 759 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 760 │       MW       18. When you drink ANSWERFROM(QN17R1),│4.67│ 1654│  1027│ 1654│
 761 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 762 │                you usually drink per sitting?        │    │     │      │     │
 763 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 764 │       S        18. When you drink ANSWERFROM(QN17R1),│4.71│ 2390│  1287│ 2390│
 765 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 766 │                you usually drink per sitting?        │    │     │      │     │
 767 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 768 │       W        18. When you drink ANSWERFROM(QN17R1),│4.69│ 1546│   955│ 1546│
 769 │                about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 770 │                you usually drink per sitting?        │    │     │      │     │
 771 │      ╶───────────────────────────────────────────────┼────┼─────┼──────┼─────┤
 772 │       All      18. When you drink ANSWERFROM(QN17R1),│4.62│ 6999│  4218│ 6999│
 773 │       regions  about how many ANSWERFROM(QN17R2) do  │    │     │      │     │
 774 │                you usually drink per sitting?        │    │     │      │     │
 775 ╰──────────────────────────────────────────────────────┴────┴─────┴──────┴─────╯
 776 ])
 777 AT_CLEANUP
 778
 779 AT_SETUP([CTABLES subtotals])
 780 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 781 AT_DATA([ctables.sps],
 782 [[GET 'nhtsa.sav'.
 783 CTABLES /TABLE=qn105ba BY qns1
 784     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 785 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 786     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 787 CTABLES /TABLE=qn105ba BY qns1
 788     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 789     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 790 ]])
 791 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 792                                                       Custom Tables
 793 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 794 │                                                         │ S1. Including yourself, how many members of this household │
 795 │                                                         │                    are age 16 or older?                    │
 796 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 797 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 798 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 799 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 800 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 801 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 802 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 803 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 804 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 805 │                                              likely     │       │       │         │       │        │      │          │
 806 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 807 │                                              unlikely   │       │       │         │       │        │      │          │
 808 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 809 │                                              unlikely   │       │       │         │       │        │      │          │
 810 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 811
 812                                                       Custom Tables
 813 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 814 │                                                        │  S1. Including yourself, how many members of this household │
 815 │                                                        │                     are age 16 or older?                    │
 816 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 817 │                                                        │        │        │        │        │       │        │  6 or  │
 818 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 819 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 820 │                                                        │        │        │        │        │ Column│        │        │
 821 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 822 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 823 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 824 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 825 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 826 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 827 │                                             likely     │        │        │        │        │       │        │        │
 828 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 829 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 830 │                                             unlikely   │        │        │        │        │       │        │        │
 831 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 832 │                                             unlikely   │        │        │        │        │       │        │        │
 833 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 834 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 835
 836                                                       Custom Tables
 837 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 838 │                                                         │ S1. Including yourself, how many members of this household │
 839 │                                                         │                    are age 16 or older?                    │
 840 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 841 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 842 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 843 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 844 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 845 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 846 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 847 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 848 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 849 │                                              likely     │       │       │         │       │        │      │          │
 850 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 851 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 852 │                                              unlikely   │       │       │         │       │        │      │          │
 853 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 854 │                                              unlikely   │       │       │         │       │        │      │          │
 855 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 856 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 857 ])
 858 AT_CLEANUP
 859
 860 AT_SETUP([CTABLES PCOMPUTE])
 861 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 862 AT_DATA([ctables.sps],
 863 [[GET 'nhtsa.sav'.
 864 CTABLES
 865     /PCOMPUTE &x=EXPR([3] + [4])
 866     /PCOMPUTE &y=EXPR([4] + [5])
 867     /PPROPERTIES &x LABEL='3+4' HIDESOURCECATS=YES FORMAT=COUNT F8.2
 868     /PPROPERTIES &y LABEL='4+5'
 869     /TABLE=qn105ba BY qns1
 870     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, &x, &y, SUBTOTAL]
 871 ]])
 872 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 873                                                       Custom Tables
 874 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 875 │                                                        │  S1. Including yourself, how many members of this household │
 876 │                                                        │                     are age 16 or older?                    │
 877 │                                                        ├───────┬───────┬──────────┬───────┬────────┬──────┬──────────┤
 878 │                                                        │   1   │   2   │ Subtotal │   5   │   3+4  │  4+5 │ Subtotal │
 879 │                                                        ├───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
 880 │                                                        │ Count │ Count │   Count  │ Count │  Count │ Count│   Count  │
 881 ├────────────────────────────────────────────────────────┼───────┼───────┼──────────┼───────┼────────┼──────┼──────────┤
 882 │105b. How likely is it that drivers who have Almost     │    147│    246│       393│     11│   81.00│    30│        92│
 883 │had too much to drink to drive safely will   certain    │       │       │          │       │        │      │          │
 884 │A. Get stopped by the police?                Very likely│    384│    552│       936│     14│  171.00│    65│       185│
 885 │                                             Somewhat   │    590│   1249│      1839│     20│  265.00│    92│       285│
 886 │                                             likely     │       │       │          │       │        │      │          │
 887 │                                             Somewhat   │    278│    647│       925│      6│  116.00│    38│       122│
 888 │                                             unlikely   │       │       │          │       │        │      │          │
 889 │                                             Very       │    141│    290│       431│      4│   59.00│    22│        63│
 890 │                                             unlikely   │       │       │          │       │        │      │          │
 891 ╰────────────────────────────────────────────────────────┴───────┴───────┴──────────┴───────┴────────┴──────┴──────────╯
 892 ])
 893 AT_CLEANUP
 894
 895 AT_SETUP([CTABLES CLABELS])
 896 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 897 AT_DATA([ctables.sps],
 898 [[GET 'nhtsa.sav'.
 899 CTABLES /TABLE AgeGroup BY qns3a /CLABELS ROWLABELS=OPPOSITE.
 900 CTABLES /TABLE AgeGroup BY qns3a /CLABELS COLLABELS=OPPOSITE.
 901 ]])
 902 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 903                                                       Custom Tables
 904 ╭───────┬──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
 905 │       │                                                 S3a. GENDER:                                                 │
 906 │       ├──────────────────────────────────────────────────────┬───────────────────────────────────────────────────────┤
 907 │       │                         Male                         │                         Female                        │
 908 │       ├─────────┬───────┬──────┬──────┬──────┬───────┬───────┼──────────┬──────┬───────┬──────┬──────┬──────┬────────┤
 909 │       │  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 │
 910 │       │ younger │   25  │  35  │  45  │  55  │   65  │ older │  younger │  25  │   35  │  45  │  55  │  65  │  older │
 911 │       ├─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 912 │       │  Count  │ Count │ Count│ Count│ Count│ Count │ Count │   Count  │ Count│ Count │ Count│ Count│ Count│  Count │
 913 ├───────┼─────────┼───────┼──────┼──────┼──────┼───────┼───────┼──────────┼──────┼───────┼──────┼──────┼──────┼────────┤
 914 │Age    │        0│    594│   476│   489│   526│    516│    531│         0│   505│    491│   548│   649│   731│     943│
 915 │group  │         │       │      │      │      │       │       │          │      │       │      │      │      │        │
 916 ╰───────┴─────────┴───────┴──────┴──────┴──────┴───────┴───────┴──────────┴──────┴───────┴──────┴──────┴──────┴────────╯
 917
 918                 Custom Tables
 919 ╭──────────────────────────────┬────────────╮
 920 │                              │S3a. GENDER:│
 921 │                              ├────────────┤
 922 │                              │    Count   │
 923 ├──────────────────────────────┼────────────┤
 924 │Age group 15 or younger Male  │           0│
 925 │                        Female│           0│
 926 │         ╶────────────────────┼────────────┤
 927 │          16 to 25      Male  │         594│
 928 │                        Female│         505│
 929 │         ╶────────────────────┼────────────┤
 930 │          26 to 35      Male  │         476│
 931 │                        Female│         491│
 932 │         ╶────────────────────┼────────────┤
 933 │          36 to 45      Male  │         489│
 934 │                        Female│         548│
 935 │         ╶────────────────────┼────────────┤
 936 │          46 to 55      Male  │         526│
 937 │                        Female│         649│
 938 │         ╶────────────────────┼────────────┤
 939 │          56 to 65      Male  │         516│
 940 │                        Female│         731│
 941 │         ╶────────────────────┼────────────┤
 942 │          66 or older   Male  │         531│
 943 │                        Female│         943│
 944 ╰──────────────────────────────┴────────────╯
 945 ])
 946 AT_CLEANUP
 947
 948 AT_SETUP([CTABLES missing values])
 949 AT_DATA([ctables.sps],
 950 [[DATA LIST LIST NOTABLE/x y.
 951 BEGIN DATA.
 952 1 1
 953 1 2
 954 1 3
 955 1 4
 956 1 5
 957 1 .
 958 2 1
 959 2 2
 960 2 3
 961 2 4
 962 2 5
 963 2 .
 964 3 1
 965 3 2
 966 3 3
 967 3 4
 968 3 5
 969 3 .
 970 4 1
 971 4 2
 972 4 3
 973 4 4
 974 4 5
 975 4 .
 976 5 1
 977 5 2
 978 5 3
 979 5 4
 980 5 5
 981 5 .
 982 . 1
 983 . 2
 984 . 3
 985 . 4
 986 . 5
 987 . .
 988 END DATA.
 989 MISSING VALUES x (1, 2) y (2, 3).
 990 VARIABLE LEVEL ALL (NOMINAL).
 991
 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.
 994 CTABLES /TABLE x[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, TOTALS[COUNT, COLPCT, COLPCT.VALIDN, COLPCT.TOTALN, VALIDN, TOTALN]]
 995     /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE.
 996 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]]
 997     /CATEGORIES VARIABLES=ALL TOTAL=YES
 998     /SLABELS POSITION=ROW.
 999 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]]
1000     /CATEGORIES VARIABLES=ALL TOTAL=YES MISSING=INCLUDE
1001     /SLABELS POSITION=ROW.
1002 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]]
1003     /CATEGORIES VARIABLES=x [1, 2, 3, 4] TOTAL=YES
1004     /CATEGORIES VARIABLES=y [1, 3, 4, 5] TOTAL=YES
1005     /SLABELS POSITION=ROW.
1006 ]])
1007 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1008                                Custom Tables
1009 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1010 │       │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1011 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1012 │x 3.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1013 │  4.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1014 │  5.00 │    6│   33.3%│           33.3%│           16.7%│       │       │
1015 │  Total│   18│  100.0%│          100.0%│          100.0%│     18│     36│
1016 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1017 dnl Note that Column Total N % doesn't add up to 100 because missing
1018 dnl values are included in the total but not shown as a category and this
1019 dnl is expected behavior.
1020
1021                                Custom Tables
1022 ╭───────┬─────┬────────┬────────────────┬────────────────┬───────┬───────╮
1023 │       │Count│Column %│Column Valid N %│Column Total N %│Valid N│Total N│
1024 ├───────┼─────┼────────┼────────────────┼────────────────┼───────┼───────┤
1025 │x 1.00 │    6│   20.0%│             .0%│           16.7%│       │       │
1026 │  2.00 │    6│   20.0%│             .0%│           16.7%│       │       │
1027 │  3.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1028 │  4.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1029 │  5.00 │    6│   20.0%│           33.3%│           16.7%│       │       │
1030 │  Total│   30│  100.0%│          100.0%│          100.0%│     18│     36│
1031 ╰───────┴─────┴────────┴────────────────┴────────────────┴───────┴───────╯
1032 dnl Note that Column Total N % doesn't add up to 100 because system-missing
1033 dnl values are included in the total but not shown as a category and this
1034 dnl is expected behavior.
1035
1036                      Custom Tables
1037 ╭────────────────────────┬───────────────────────────╮
1038 │                        │             y             │
1039 │                        ├──────┬──────┬──────┬──────┤
1040 │                        │ 1.00 │ 4.00 │ 5.00 │ Total│
1041 ├────────────────────────┼──────┼──────┼──────┼──────┤
1042 │x 3.00  Count           │     1│     1│     1│     3│
1043 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1044 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1045 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1046 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1047 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1048 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1049 │        Valid N         │      │      │      │     3│
1050 │        Total N         │      │      │      │     6│
1051 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1052 │  4.00  Count           │     1│     1│     1│     3│
1053 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1054 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1055 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1056 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1057 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1058 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1059 │        Valid N         │      │      │      │     3│
1060 │        Total N         │      │      │      │     6│
1061 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1062 │  5.00  Count           │     1│     1│     1│     3│
1063 │        Column %        │ 33.3%│ 33.3%│ 33.3%│     .│
1064 │        Column Valid N %│ 33.3%│ 33.3%│ 33.3%│     .│
1065 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│     .│
1066 │        Row %           │ 33.3%│ 33.3%│ 33.3%│100.0%│
1067 │        Row Valid N %   │ 33.3%│ 33.3%│ 33.3%│100.0%│
1068 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│100.0%│
1069 │        Valid N         │      │      │      │     3│
1070 │        Total N         │      │      │      │     6│
1071 │ ╶──────────────────────┼──────┼──────┼──────┼──────┤
1072 │  Total Count           │     3│     3│     3│     9│
1073 │        Column %        │100.0%│100.0%│100.0%│     .│
1074 │        Column Valid N %│100.0%│100.0%│100.0%│     .│
1075 │        Column Total N %│100.0%│100.0%│100.0%│     .│
1076 │        Row %           │     .│     .│     .│     .│
1077 │        Row Valid N %   │     .│     .│     .│     .│
1078 │        Row Total N %   │     .│     .│     .│     .│
1079 │        Valid N         │     3│     3│     3│     9│
1080 │        Total N         │     6│     6│     6│    36│
1081 ╰────────────────────────┴──────┴──────┴──────┴──────╯
1082
1083                             Custom Tables
1084 ╭────────────────────────┬─────────────────────────────────────────╮
1085 │                        │                    y                    │
1086 │                        ├──────┬──────┬──────┬──────┬──────┬──────┤
1087 │                        │ 1.00 │ 2.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1088 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1089 │x 1.00  Count           │     1│     1│     1│     1│     1│     5│
1090 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1091 │        Column Valid N %│   .0%│     .│     .│   .0%│   .0%│     .│
1092 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1093 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1094 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1095 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1096 │        Valid N         │      │      │      │      │      │     0│
1097 │        Total N         │      │      │      │      │      │     6│
1098 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1099 │  2.00  Count           │     1│     1│     1│     1│     1│     5│
1100 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1101 │        Column Valid N %│   .0%│     .│     .│   .0%│   .0%│     .│
1102 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1103 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1104 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1105 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1106 │        Valid N         │      │      │      │      │      │     0│
1107 │        Total N         │      │      │      │      │      │     6│
1108 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1109 │  3.00  Count           │     1│     1│     1│     1│     1│     5│
1110 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1111 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1112 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1113 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1114 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1115 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1116 │        Valid N         │      │      │      │      │      │     3│
1117 │        Total N         │      │      │      │      │      │     6│
1118 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1119 │  4.00  Count           │     1│     1│     1│     1│     1│     5│
1120 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1121 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1122 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1123 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1124 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1125 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1126 │        Valid N         │      │      │      │      │      │     3│
1127 │        Total N         │      │      │      │      │      │     6│
1128 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1129 │  5.00  Count           │     1│     1│     1│     1│     1│     5│
1130 │        Column %        │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1131 │        Column Valid N %│ 33.3%│     .│     .│ 33.3%│ 33.3%│     .│
1132 │        Column Total N %│ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│     .│
1133 │        Row %           │ 20.0%│ 20.0%│ 20.0%│ 20.0%│ 20.0%│100.0%│
1134 │        Row Valid N %   │ 33.3%│   .0%│   .0%│ 33.3%│ 33.3%│100.0%│
1135 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1136 │        Valid N         │      │      │      │      │      │     3│
1137 │        Total N         │      │      │      │      │      │     6│
1138 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┤
1139 │  Total Count           │     5│     5│     5│     5│     5│    25│
1140 │        Column %        │100.0%│100.0%│100.0%│100.0%│100.0%│     .│
1141 │        Column Valid N %│100.0%│     .│     .│100.0%│100.0%│     .│
1142 │        Column Total N %│100.0%│100.0%│100.0%│100.0%│100.0%│     .│
1143 │        Row %           │     .│     .│     .│     .│     .│     .│
1144 │        Row Valid N %   │     .│     .│     .│     .│     .│     .│
1145 │        Row Total N %   │     .│     .│     .│     .│     .│     .│
1146 │        Valid N         │     3│     0│     0│     3│     3│     9│
1147 │        Total N         │     6│     6│     6│     6│     6│    36│
1148 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────╯
1149
1150                         Custom Tables
1151 ╭────────────────────────┬──────────────────────────────────╮
1152 │                        │                 y                │
1153 │                        ├──────┬──────┬──────┬──────┬──────┤
1154 │                        │ 1.00 │ 3.00 │ 4.00 │ 5.00 │ Total│
1155 ├────────────────────────┼──────┼──────┼──────┼──────┼──────┤
1156 │x 1.00  Count           │     1│     1│     1│     1│     4│
1157 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1158 │        Column Valid N %│   .0%│     .│   .0%│   .0%│     .│
1159 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1160 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1161 │        Row Valid N %   │     .│     .│     .│     .│     .│
1162 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1163 │        Valid N         │      │      │      │      │     0│
1164 │        Total N         │      │      │      │      │     6│
1165 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1166 │  2.00  Count           │     1│     1│     1│     1│     4│
1167 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1168 │        Column Valid N %│   .0%│     .│   .0%│   .0%│     .│
1169 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1170 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1171 │        Row Valid N %   │     .│     .│     .│     .│     .│
1172 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1173 │        Valid N         │      │      │      │      │     0│
1174 │        Total N         │      │      │      │      │     6│
1175 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1176 │  3.00  Count           │     1│     1│     1│     1│     4│
1177 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1178 │        Column Valid N %│ 50.0%│     .│ 50.0%│ 50.0%│     .│
1179 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1180 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1181 │        Row Valid N %   │ 33.3%│   .0%│ 33.3%│ 33.3%│100.0%│
1182 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1183 │        Valid N         │      │      │      │      │     3│
1184 │        Total N         │      │      │      │      │     6│
1185 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1186 │  4.00  Count           │     1│     1│     1│     1│     4│
1187 │        Column %        │ 25.0%│ 25.0%│ 25.0%│ 25.0%│     .│
1188 │        Column Valid N %│ 50.0%│     .│ 50.0%│ 50.0%│     .│
1189 │        Column Total N %│ 20.0%│ 20.0%│ 20.0%│ 20.0%│     .│
1190 │        Row %           │ 25.0%│ 25.0%│ 25.0%│ 25.0%│100.0%│
1191 │        Row Valid N %   │ 33.3%│   .0%│ 33.3%│ 33.3%│100.0%│
1192 │        Row Total N %   │ 16.7%│ 16.7%│ 16.7%│ 16.7%│100.0%│
1193 │        Valid N         │      │      │      │      │     3│
1194 │        Total N         │      │      │      │      │     6│
1195 │ ╶──────────────────────┼──────┼──────┼──────┼──────┼──────┤
1196 │  Total Count           │     4│     4│     4│     4│    16│
1197 │        Column %        │100.0%│100.0%│100.0%│100.0%│     .│
1198 │        Column Valid N %│100.0%│     .│100.0%│100.0%│     .│
1199 │        Column Total N %│100.0%│100.0%│100.0%│100.0%│     .│
1200 │        Row %           │     .│     .│     .│     .│     .│
1201 │        Row Valid N %   │     .│     .│     .│     .│     .│
1202 │        Row Total N %   │     .│     .│     .│     .│     .│
1203 │        Valid N         │     2│     0│     2│     2│     6│
1204 │        Total N         │     5│     5│     5│     5│    30│
1205 ╰────────────────────────┴──────┴──────┴──────┴──────┴──────╯
1206 ])
1207 AT_CLEANUP
1208
1209 AT_SETUP([CTABLES SMISSING=LISTWISE])
1210 AT_KEYWORDS([SMISSING LISTWISE])
1211 AT_DATA([ctables.sps],
1212 [[DATA LIST LIST NOTABLE/x y z.
1213 BEGIN DATA.
1214 1  . 40
1215 1 10 50
1216 1 20 60
1217 1  .  .
1218 1 30  .
1219 END DATA.
1220 VARIABLE LEVEL x (NOMINAL).
1221
1222 CTABLES /TABLE (y + z) > x.
1223 CTABLES /SMISSING LISTWISE /TABLE (y + z) > x.
1224
1225 * The following doesn't come out as listwise because the tables are
1226 separate, not linked by an > operator.
1227 CTABLES /SMISSING LISTWISE /TABLE (y > x) + (z > x).
1228 ]])
1229 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
1230   Custom Tables
1231 ╭────────┬─────╮
1232 │        │ Mean│
1233 ├────────┼─────┤
1234 │y x 1.00│20.00│
1235 ├────────┼─────┤
1236 │z x 1.00│50.00│
1237 ╰────────┴─────╯
1238
1239   Custom Tables
1240 ╭────────┬─────╮
1241 │        │ Mean│
1242 ├────────┼─────┤
1243 │y x 1.00│15.00│
1244 ├────────┼─────┤
1245 │z x 1.00│55.00│
1246 ╰────────┴─────╯
1247
1248   Custom Tables
1249 ╭────────┬─────╮
1250 │        │ Mean│
1251 ├────────┼─────┤
1252 │y x 1.00│20.00│
1253 ├────────┼─────┤
1254 │z x 1.00│50.00│
1255 ╰────────┴─────╯
1256 ])
1257 AT_CLEANUP