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

   1 AT_BANNER([CTABLES])
   2
   3 # AT_SETUP([CTABLES parsing])
   4 # AT_DATA([ctables.sps],
   5 # [[DATA LIST LIST NOTABLE /x y z.
   6 # CTABLES /TABLE=(x + y) > z.
   7 # CTABLES /TABLE=(x[c] + y[c]) > z.
   8 # CTABLES /TABLE=(x + y) > z[c].
   9 # CTABLES /TABLE=x BY y BY z.
  10 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  11 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  12 # ]])
  13 # AT_CHECK([pspp ctables.sps])
  14 # AT_CLEANUP
  15
  16 AT_SETUP([CTABLES one categorical variable])
  17 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  18 AT_DATA([ctables.sps],
  19 [[GET 'nhtsa.sav'.
  20 CTABLES /TABLE qn1.
  21 CTABLES /TABLE BY qn1.
  22 CTABLES /TABLE BY BY qn1.
  23 ]])
  24 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
  25                                   Custom Tables
  26 ╭────────────────────────────────────────────────────────────────────────┬─────╮
  27 │                                                                        │Count│
  28 ├────────────────────────────────────────────────────────────────────────┼─────┤
  29 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
  30 │motor vehicle?                                     Several days a week  │ 1274│
  31 │                                                   Once a week or less  │  361│
  32 │                                                   Only certain times a │  130│
  33 │                                                   year                 │     │
  34 │                                                   Never                │  540│
  35 ╰────────────────────────────────────────────────────────────────────────┴─────╯
  36
  37                                   Custom Tables
  38 ╭──────────────────────────────────────────────────────────────────────────────╮
  39 │        1. How often do you usually drive a car or other motor vehicle?       │
  40 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
  41 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
  42 │Every day│       week       │       less       │          year          │Never│
  43 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
  44 │  Count  │       Count      │       Count      │          Count         │Count│
  45 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
  46 │     4667│              1274│               361│                     130│  540│
  47 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
  48
  49 Custom Tables
  50 Every day
  51 ╭─────╮
  52 │Count│
  53 ├─────┤
  54 │ 4667│
  55 ╰─────╯
  56 ])
  57 AT_CLEANUP
  58
  59 AT_SETUP([CTABLES one scale variable])
  60 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  61 AT_DATA([ctables.sps],
  62 [[GET 'nhtsa.sav'.
  63 CTABLES /TABLE qnd1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM].
  64 CTABLES /TABLE BY qnd1.
  65 CTABLES /TABLE BY BY qnd1.
  66 ]])
  67 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
  68                             Custom Tables
  69 ╭──────────────────────────┬─────┬────┬─────────────┬───────┬───────╮
  70 │                          │Count│Mean│Std Deviation│Minimum│Maximum│
  71 ├──────────────────────────┼─────┼────┼─────────────┼───────┼───────┤
  72 │D1. AGE: What is your age?│ 6930│  48│           19│     16│     86│
  73 ╰──────────────────────────┴─────┴────┴─────────────┴───────┴───────╯
  74
  75         Custom Tables
  76 ╭──────────────────────────╮
  77 │D1. AGE: What is your age?│
  78 ├──────────────────────────┤
  79 │           Mean           │
  80 ├──────────────────────────┤
  81 │                        48│
  82 ╰──────────────────────────╯
  83
  84 Custom Tables
  85 D1. AGE: What is your age?
  86 ╭────╮
  87 │Mean│
  88 ├────┤
  89 │  48│
  90 ╰────╯
  91 ])
  92 AT_CLEANUP
  93
  94 AT_SETUP([CTABLES simple stacking])
  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 qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
  99 ]])
 100 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 101                                   Custom Tables
 102 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 103 │                                                               │ S3a. GENDER: │
 104 │                                                               ├──────┬───────┤
 105 │                                                               │ Male │ Female│
 106 │                                                               ├──────┼───────┤
 107 │                                                               │Column│ Column│
 108 │                                                               │   %  │   %   │
 109 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 110 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 111 │too much to drink to drive safely will A. Get      certain     │      │       │
 112 │stopped by the police?                             Very likely │   21%│    22%│
 113 │                                                   Somewhat    │   38%│    42%│
 114 │                                                   likely      │      │       │
 115 │                                                   Somewhat    │   21%│    18%│
 116 │                                                   unlikely    │      │       │
 117 │                                                   Very        │   10%│     8%│
 118 │                                                   unlikely    │      │       │
 119 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 120 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 121 │too much to drink to drive safely will B. Have an  certain     │      │       │
 122 │accident?                                          Very likely │   36%│    45%│
 123 │                                                   Somewhat    │   39%│    32%│
 124 │                                                   likely      │      │       │
 125 │                                                   Somewhat    │    9%│     4%│
 126 │                                                   unlikely    │      │       │
 127 │                                                   Very        │    3%│     2%│
 128 │                                                   unlikely    │      │       │
 129 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 130 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 131 │too much to drink to drive safely will C. Be       certain     │      │       │
 132 │convicted for drunk driving?                       Very likely │   32%│    28%│
 133 │                                                   Somewhat    │   27%│    32%│
 134 │                                                   likely      │      │       │
 135 │                                                   Somewhat    │   15%│    15%│
 136 │                                                   unlikely    │      │       │
 137 │                                                   Very        │    9%│     9%│
 138 │                                                   unlikely    │      │       │
 139 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 140 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 141 │too much to drink to drive safely will D. Be       certain     │      │       │
 142 │arrested for drunk driving?                        Very likely │   26%│    27%│
 143 │                                                   Somewhat    │   32%│    35%│
 144 │                                                   likely      │      │       │
 145 │                                                   Somewhat    │   17%│    15%│
 146 │                                                   unlikely    │      │       │
 147 │                                                   Very        │    9%│     7%│
 148 │                                                   unlikely    │      │       │
 149 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 150 ])
 151 AT_CLEANUP
 152
 153
 154 AT_SETUP([CTABLES simple nesting])
 155 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 156 AT_DATA([ctables.sps],
 157 [[GET 'nhtsa.sav'.
 158 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 159   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 160 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 161   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 162   /CLABELS ROW=OPPOSITE.
 163 ]])
 164 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 165                                   Custom Tables
 166 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 167 │                                                                 │     │ Table│
 168 │                                                                 │Count│   %  │
 169 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 170 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 171 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 172 │drive safely will A. Get stopped by                        Total │  700│   10%│
 173 │the police?                           ╶──────────────────────────┼─────┼──────┤
 174 │                                       Very       S3a.     Male  │  660│   10%│
 175 │                                       likely     GENDER:  Female│  842│   12%│
 176 │                                                           Total │ 1502│   22%│
 177 │                                      ╶──────────────────────────┼─────┼──────┤
 178 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 179 │                                       likely     GENDER:  Female│ 1589│   23%│
 180 │                                                           Total │ 2763│   40%│
 181 │                                      ╶──────────────────────────┼─────┼──────┤
 182 │                                       Somewhat   S3a.     Male  │  640│    9%│
 183 │                                       unlikely   GENDER:  Female│  667│   10%│
 184 │                                                           Total │ 1307│   19%│
 185 │                                      ╶──────────────────────────┼─────┼──────┤
 186 │                                       Very       S3a.     Male  │  311│    5%│
 187 │                                       unlikely   GENDER:  Female│  298│    4%│
 188 │                                                           Total │  609│    9%│
 189 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 190 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 191 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 192 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 193 │                                      ╶──────────────────────────┼─────┼──────┤
 194 │                                       Very       S3a.     Male  │ 1104│   16%│
 195 │                                       likely     GENDER:  Female│ 1715│   25%│
 196 │                                                           Total │ 2819│   41%│
 197 │                                      ╶──────────────────────────┼─────┼──────┤
 198 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 199 │                                       likely     GENDER:  Female│ 1214│   18%│
 200 │                                                           Total │ 2417│   35%│
 201 │                                      ╶──────────────────────────┼─────┼──────┤
 202 │                                       Somewhat   S3a.     Male  │  262│    4%│
 203 │                                       unlikely   GENDER:  Female│  168│    2%│
 204 │                                                           Total │  430│    6%│
 205 │                                      ╶──────────────────────────┼─────┼──────┤
 206 │                                       Very       S3a.     Male  │   81│    1%│
 207 │                                       unlikely   GENDER:  Female│   59│    1%│
 208 │                                                           Total │  140│    2%│
 209 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 210 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 211 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 212 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 213 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 214 │                                       Very       S3a.     Male  │  988│   14%│
 215 │                                       likely     GENDER:  Female│ 1049│   15%│
 216 │                                                           Total │ 2037│   30%│
 217 │                                      ╶──────────────────────────┼─────┼──────┤
 218 │                                       Somewhat   S3a.     Male  │  822│   12%│
 219 │                                       likely     GENDER:  Female│ 1210│   18%│
 220 │                                                           Total │ 2032│   30%│
 221 │                                      ╶──────────────────────────┼─────┼──────┤
 222 │                                       Somewhat   S3a.     Male  │  446│    7%│
 223 │                                       unlikely   GENDER:  Female│  548│    8%│
 224 │                                                           Total │  994│   15%│
 225 │                                      ╶──────────────────────────┼─────┼──────┤
 226 │                                       Very       S3a.     Male  │  268│    4%│
 227 │                                       unlikely   GENDER:  Female│  354│    5%│
 228 │                                                           Total │  622│    9%│
 229 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 230 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 231 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 232 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 233 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 234 │                                       Very       S3a.     Male  │  805│   12%│
 235 │                                       likely     GENDER:  Female│ 1029│   15%│
 236 │                                                           Total │ 1834│   27%│
 237 │                                      ╶──────────────────────────┼─────┼──────┤
 238 │                                       Somewhat   S3a.     Male  │  975│   14%│
 239 │                                       likely     GENDER:  Female│ 1332│   19%│
 240 │                                                           Total │ 2307│   34%│
 241 │                                      ╶──────────────────────────┼─────┼──────┤
 242 │                                       Somewhat   S3a.     Male  │  535│    8%│
 243 │                                       unlikely   GENDER:  Female│  560│    8%│
 244 │                                                           Total │ 1095│   16%│
 245 │                                      ╶──────────────────────────┼─────┼──────┤
 246 │                                       Very       S3a.     Male  │  270│    4%│
 247 │                                       unlikely   GENDER:  Female│  279│    4%│
 248 │                                                           Total │  549│    8%│
 249 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 250
 251                                   Custom Tables
 252 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 253 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 254 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 255 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 256 │                                 │        │ Table│         │         │        │
 257 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 258 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 259 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 260 │GENDER:        is it that drivers│        │      │         │         │        │
 261 │               who have had too  │        │      │         │         │        │
 262 │               much to drink to  │        │      │         │         │        │
 263 │               drive safely will │        │      │         │         │        │
 264 │               A. Get stopped by │        │      │         │         │        │
 265 │               the police?       │        │      │         │         │        │
 266 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 267 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 268 │               is it that drivers│        │      │         │         │        │
 269 │               who have had too  │        │      │         │         │        │
 270 │               much to drink to  │        │      │         │         │        │
 271 │               drive safely will │        │      │         │         │        │
 272 │               A. Get stopped by │        │      │         │         │        │
 273 │               the police?       │        │      │         │         │        │
 274 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 275 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 276 │               is it that drivers│        │      │         │         │        │
 277 │               who have had too  │        │      │         │         │        │
 278 │               much to drink to  │        │      │         │         │        │
 279 │               drive safely will │        │      │         │         │        │
 280 │               A. Get stopped by │        │      │         │         │        │
 281 │               the police?       │        │      │         │         │        │
 282 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 283 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 284 │GENDER:        is it that drivers│        │      │         │         │        │
 285 │               who have had too  │        │      │         │         │        │
 286 │               much to drink to  │        │      │         │         │        │
 287 │               drive safely will │        │      │         │         │        │
 288 │               B. Have an        │        │      │         │         │        │
 289 │               accident?         │        │      │         │         │        │
 290 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 291 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 292 │               is it that drivers│        │      │         │         │        │
 293 │               who have had too  │        │      │         │         │        │
 294 │               much to drink to  │        │      │         │         │        │
 295 │               drive safely will │        │      │         │         │        │
 296 │               B. Have an        │        │      │         │         │        │
 297 │               accident?         │        │      │         │         │        │
 298 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 299 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 300 │               is it that drivers│        │      │         │         │        │
 301 │               who have had too  │        │      │         │         │        │
 302 │               much to drink to  │        │      │         │         │        │
 303 │               drive safely will │        │      │         │         │        │
 304 │               B. Have an        │        │      │         │         │        │
 305 │               accident?         │        │      │         │         │        │
 306 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 307 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 308 │GENDER:        is it that drivers│        │      │         │         │        │
 309 │               who have had too  │        │      │         │         │        │
 310 │               much to drink to  │        │      │         │         │        │
 311 │               drive safely will │        │      │         │         │        │
 312 │               C. Be convicted   │        │      │         │         │        │
 313 │               for drunk driving?│        │      │         │         │        │
 314 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 315 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 316 │               is it that drivers│        │      │         │         │        │
 317 │               who have had too  │        │      │         │         │        │
 318 │               much to drink to  │        │      │         │         │        │
 319 │               drive safely will │        │      │         │         │        │
 320 │               C. Be convicted   │        │      │         │         │        │
 321 │               for drunk driving?│        │      │         │         │        │
 322 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 323 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 324 │               is it that drivers│        │      │         │         │        │
 325 │               who have had too  │        │      │         │         │        │
 326 │               much to drink to  │        │      │         │         │        │
 327 │               drive safely will │        │      │         │         │        │
 328 │               C. Be convicted   │        │      │         │         │        │
 329 │               for drunk driving?│        │      │         │         │        │
 330 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 331 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 332 │GENDER:        is it that drivers│        │      │         │         │        │
 333 │               who have had too  │        │      │         │         │        │
 334 │               much to drink to  │        │      │         │         │        │
 335 │               drive safely will │        │      │         │         │        │
 336 │               D. Be arrested for│        │      │         │         │        │
 337 │               drunk driving?    │        │      │         │         │        │
 338 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 339 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 340 │               is it that drivers│        │      │         │         │        │
 341 │               who have had too  │        │      │         │         │        │
 342 │               much to drink to  │        │      │         │         │        │
 343 │               drive safely will │        │      │         │         │        │
 344 │               D. Be arrested for│        │      │         │         │        │
 345 │               drunk driving?    │        │      │         │         │        │
 346 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 347 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 348 │               is it that drivers│        │      │         │         │        │
 349 │               who have had too  │        │      │         │         │        │
 350 │               much to drink to  │        │      │         │         │        │
 351 │               drive safely will │        │      │         │         │        │
 352 │               D. Be arrested for│        │      │         │         │        │
 353 │               drunk driving?    │        │      │         │         │        │
 354 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 355 ])
 356 AT_CLEANUP
 357
 358 AT_SETUP([CTABLES nesting and scale variables])
 359 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 360 AT_DATA([ctables.sps],
 361 [[GET 'nhtsa.sav'.
 362 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 363 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 364 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1.
 365 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 366 ]])
 367 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 368                                   Custom Tables
 369 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 370 │                                                                 │S3a. GENDER:│
 371 │                                                                 ├─────┬──────┤
 372 │                                                                 │ Male│Female│
 373 │                                                                 ├─────┼──────┤
 374 │                                                                 │ Mean│ Mean │
 375 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 376 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 377 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 378 │                                                  week           │     │      │
 379 │                                                  Once a week or │   44│    54│
 380 │                                                  less           │     │      │
 381 │                                                  Only certain   │   34│    41│
 382 │                                                  times a year   │     │      │
 383 │                                                  Never          │   39│    55│
 384 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 385
 386                                   Custom Tables
 387 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 388 │                                                         │Minimum│Maximum│Mean│
 389 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 390 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 391 │What is  GENDER:         months, has there been a        │       │       │    │
 392 │your                     time when you felt you          │       │       │    │
 393 │age?                     should cut down on your      No │     16│     86│  46│
 394 │                         drinking?                       │       │       │    │
 395 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 396 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 397 │                         months, has there been a        │       │       │    │
 398 │                         time when you felt you          │       │       │    │
 399 │                         should cut down on your      No │     16│     86│  48│
 400 │                         drinking?                       │       │       │    │
 401 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 402 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 403 │What is  GENDER:         months, has there been a        │       │       │    │
 404 │your                     time when people criticized  No │     16│     86│  46│
 405 │age?                     your drinking?                  │       │       │    │
 406 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 407 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 408 │                         months, has there been a        │       │       │    │
 409 │                         time when people criticized  No │     16│     86│  48│
 410 │                         your drinking?                  │       │       │    │
 411 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 412
 413                                   Custom Tables
 414 ╭──────────────────────────────────┬───────────────────────────────────────────╮
 415 │                                  │S1. Including yourself, how many members of│
 416 │                                  │    this household are age 16 or older?    │
 417 │                                  ├──────┬───────┬──────┬──────┬───────┬──────┤
 418 │                                  │      │       │      │      │       │ 6 or │
 419 │                                  │   1  │   2   │   3  │   4  │   5   │ more │
 420 │                                  ├──────┼───────┼──────┼──────┼───────┼──────┤
 421 │                                  │Column│ Column│Column│Column│ Column│Column│
 422 │                                  │   %  │   %   │   %  │   %  │   %   │   %  │
 423 ├──────────────────────────────────┼──────┼───────┼──────┼──────┼───────┼──────┤
 424 │Sa1.     RDD 105b. How    Almost  │  9.5%│   8.2%│ 12.4%│  9.9%│  20.0%│ 23.8%│
 425 │SAMPLE       likely is it certain │      │       │      │      │       │      │
 426 │SOURCE:      that drivers Very    │ 24.9%│  18.5%│ 24.0%│ 26.6%│  25.5%│ 33.3%│
 427 │             who have had likely  │      │       │      │      │       │      │
 428 │             too much to  Somewhat│ 38.3%│  41.9%│ 38.6%│ 37.5%│  36.4%│ 23.8%│
 429 │             drink to     likely  │      │       │      │      │       │      │
 430 │             drive safely Somewhat│ 18.1%│  21.7%│ 16.8%│ 16.7%│  10.9%│  9.5%│
 431 │             will A. Get  unlikely│      │       │      │      │       │      │
 432 │             stopped by   Very    │  9.2%│   9.7%│  8.2%│  9.4%│   7.3%│  9.5%│
 433 │             the police?  unlikely│      │       │      │      │       │      │
 434 ╰──────────────────────────────────┴──────┴───────┴──────┴──────┴───────┴──────╯
 435
 436                                   Custom Tables
 437 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 438 │                                                              │    │    Std   │
 439 │                                                              │Mean│ Deviation│
 440 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 441 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 442 │group           typical month did you have one or more        │    │          │
 443 │                alcoholic beverages to drink?                 │    │          │
 444 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 445 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 446 │                typical month did you have one or more        │    │          │
 447 │                alcoholic beverages to drink?                 │    │          │
 448 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 449 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 450 │                typical month did you have one or more        │    │          │
 451 │                alcoholic beverages to drink?                 │    │          │
 452 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 453 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 454 │                typical month did you have one or more        │    │          │
 455 │                alcoholic beverages to drink?                 │    │          │
 456 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 457 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 458 │                typical month did you have one or more        │    │          │
 459 │                alcoholic beverages to drink?                 │    │          │
 460 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 461 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 462 │       older    typical month did you have one or more        │    │          │
 463 │                alcoholic beverages to drink?                 │    │          │
 464 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 465 ])
 466 AT_CLEANUP
 467
 468
 469 AT_SETUP([CTABLES SLABELS])
 470 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 471 AT_DATA([ctables.sps],
 472 [[GET 'nhtsa.sav'.
 473 CTABLES /TABLE qn1 [COUNT COLPCT].
 474 CTABLES /TABLE qn1 [COUNT COLPCT]
 475     /SLABELS POSITION=ROW.
 476 CTABLES /TABLE qn1 [COUNT COLPCT]
 477     /SLABELS POSITION=ROW VISIBLE=NO.
 478 ]])
 479 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 480                                   Custom Tables
 481 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 482 │                                                                │     │ Column│
 483 │                                                                │Count│   %   │
 484 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 485 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 486 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 487 │                                             Once a week or less│  361│   5.2%│
 488 │                                             Only certain times │  130│   1.9%│
 489 │                                             a year             │     │       │
 490 │                                             Never              │  540│   7.7%│
 491 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 492
 493                                   Custom Tables
 494 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 495 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 496 │other motor vehicle?                                             Column │66.9%│
 497 │                                                                 %      │     │
 498 │                                            ╶───────────────────────────┼─────┤
 499 │                                             Several days a week Count  │ 1274│
 500 │                                                                 Column │18.3%│
 501 │                                                                 %      │     │
 502 │                                            ╶───────────────────────────┼─────┤
 503 │                                             Once a week or less Count  │  361│
 504 │                                                                 Column │ 5.2%│
 505 │                                                                 %      │     │
 506 │                                            ╶───────────────────────────┼─────┤
 507 │                                             Only certain times  Count  │  130│
 508 │                                             a year              Column │ 1.9%│
 509 │                                                                 %      │     │
 510 │                                            ╶───────────────────────────┼─────┤
 511 │                                             Never               Count  │  540│
 512 │                                                                 Column │ 7.7%│
 513 │                                                                 %      │     │
 514 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 515
 516                                   Custom Tables
 517 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 518 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 519 │motor vehicle?                                                          │66.9%│
 520 │                                                   Several days a week  │ 1274│
 521 │                                                                        │18.3%│
 522 │                                                   Once a week or less  │  361│
 523 │                                                                        │ 5.2%│
 524 │                                                   Only certain times a │  130│
 525 │                                                   year                 │ 1.9%│
 526 │                                                   Never                │  540│
 527 │                                                                        │ 7.7%│
 528 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 529 ])
 530 AT_CLEANUP
 531
 532 AT_SETUP([CTABLES simple totals])
 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=qn17
 537     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 538 CTABLES /TABLE=region > qn18 [MEAN, COUNT]
 539     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 540 ]])
 541 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 542                                   Custom Tables
 543 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 544 │                                                                        │Count│
 545 ├────────────────────────────────────────────────────────────────────────┼─────┤
 546 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 547 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 548 │                                                      Light beer        │  620│
 549 │                                                      Wine              │ 1418│
 550 │                                                      Wine coolers      │  137│
 551 │                                                      Hard liquor or    │  888│
 552 │                                                      mixed drinks      │     │
 553 │                                                      Flavored malt     │   83│
 554 │                                                      drinks            │     │
 555 │                                                      Number responding │ 4221│
 556 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 557
 558                                   Custom Tables
 559 ╭───────────────────────────────────────────────────────────────────┬────┬─────╮
 560 │                                                                   │Mean│Count│
 561 ├───────────────────────────────────────────────────────────────────┼────┼─────┤
 562 │Region NE       18. When you drink ANSWERFROM(QN17R1), about how   │4.36│  949│
 563 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 564 │                sitting?                                           │    │     │
 565 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 566 │       MW       18. When you drink ANSWERFROM(QN17R1), about how   │4.67│ 1027│
 567 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 568 │                sitting?                                           │    │     │
 569 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 570 │       S        18. When you drink ANSWERFROM(QN17R1), about how   │4.71│ 1287│
 571 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 572 │                sitting?                                           │    │     │
 573 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 574 │       W        18. When you drink ANSWERFROM(QN17R1), about how   │4.69│  955│
 575 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 576 │                sitting?                                           │    │     │
 577 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 578 │       All      18. When you drink ANSWERFROM(QN17R1), about how   │4.62│ 4218│
 579 │       regions  many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 580 │                sitting?                                           │    │     │
 581 ╰───────────────────────────────────────────────────────────────────┴────┴─────╯
 582 ])
 583 AT_CLEANUP
 584
 585 AT_SETUP([CTABLES subtotals])
 586 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 587 AT_DATA([ctables.sps],
 588 [[GET 'nhtsa.sav'.
 589 CTABLES /TABLE=qn105ba BY qns1
 590     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 591 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 592     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 593 CTABLES /TABLE=qn105ba BY qns1
 594     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 595     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 596 ]])
 597 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 598                                                       Custom Tables
 599 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 600 │                                                         │ S1. Including yourself, how many members of this household │
 601 │                                                         │                    are age 16 or older?                    │
 602 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 603 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 604 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 605 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 606 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 607 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 608 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 609 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 610 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 611 │                                              likely     │       │       │         │       │        │      │          │
 612 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 613 │                                              unlikely   │       │       │         │       │        │      │          │
 614 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 615 │                                              unlikely   │       │       │         │       │        │      │          │
 616 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 617
 618                                                       Custom Tables
 619 ╭────────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────╮
 620 │                                                            │     S1. Including yourself, how many members of this    │
 621 │                                                            │              household are age 16 or older?             │
 622 │                                                            ├─────────┬────────┬─────────┬────────┬─────────┬─────────┤
 623 │                                                            │    1    │    2   │    3    │    4   │    5    │6 or more│
 624 │                                                            ├─────────┼────────┼─────────┼────────┼─────────┼─────────┤
 625 │                                                            │ Column %│Column %│ Column %│Column %│ Column %│ Column %│
 626 ├────────────────────────────────────────────────────────────┼─────────┼────────┼─────────┼────────┼─────────┼─────────┤
 627 │105b. How likely is it that drivers who have had Almost     │     9.5%│    8.2%│    12.4%│    9.9%│    20.0%│    23.8%│
 628 │too much to drink to drive safely will A. Get    certain    │         │        │         │        │         │         │
 629 │stopped by the police?                           Very likely│    24.9%│   18.5%│    24.0%│   26.6%│    25.5%│    33.3%│
 630 │                                                 Somewhat   │    38.3%│   41.9%│    38.6%│   37.5%│    36.4%│    23.8%│
 631 │                                                 likely     │         │        │         │        │         │         │
 632 │                                                 Subtotal   │    72.8%│   68.6%│    75.0%│   74.0%│    81.8%│    81.0%│
 633 │                                                 Somewhat   │    18.1%│   21.7%│    16.8%│   16.7%│    10.9%│     9.5%│
 634 │                                                 unlikely   │         │        │         │        │         │         │
 635 │                                                 Very       │     9.2%│    9.7%│     8.2%│    9.4%│     7.3%│     9.5%│
 636 │                                                 unlikely   │         │        │         │        │         │         │
 637 │                                                 Subtotal   │    27.2%│   31.4%│    25.0%│   26.0%│    18.2%│    19.0%│
 638 ╰────────────────────────────────────────────────────────────┴─────────┴────────┴─────────┴────────┴─────────┴─────────╯
 639
 640                                                       Custom Tables
 641 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 642 │                                                         │ S1. Including yourself, how many members of this household │
 643 │                                                         │                    are age 16 or older?                    │
 644 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 645 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 646 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 647 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 648 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 649 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 650 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 651 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 652 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 653 │                                              likely     │       │       │         │       │        │      │          │
 654 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 655 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 656 │                                              unlikely   │       │       │         │       │        │      │          │
 657 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 658 │                                              unlikely   │       │       │         │       │        │      │          │
 659 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 660 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 661 ])
 662 AT_CLEANUP