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

   1 AT_BANNER([CTABLES])
   2
   3 dnl TODO:
   4 dnl
   5 dnl - Parsing (positive and negative)
   6 dnl - String variables and values
   7 dnl - Date/time variables and values
   8 dnl - Multiple-response sets.
   9 dnl   * MRSETS subcommand.
  10 dnl - SPLIT FILE with SEPARATE splits
  11 dnl - Definition of columns/rows when labels are rotated from one axis to another.
  12 dnl - Preprocessing to distinguish categorical from scale.
  13 dnl - )CILEVEL in summary specifications
  14 dnl - Summary functions:
  15 dnl   * Unimplemented ones.
  16 dnl   * U-prefix for unweighted summaries.
  17 dnl   * .LCL and .UCL suffixes.
  18 dnl   * .SE suffixes.
  19 dnl   * Separate summary functions for totals and subtotals.
  20 dnl - Special formats for summary functions: NEGPAREN, NEQUAL, PAREN, PCTPAREN.
  21 dnl - Testing details of missing value handling in summaries.
  22 dnl - test CLABELS ROWLABELS=LAYER.
  23 dnl - CATEGORIES:
  24 dnl   * Special case for explicit category specifications and multiple dichotomy sets
  25 dnl   * THRU
  26 dnl   * OTHERNM
  27 dnl   * String values
  28 dnl   * Date values
  29 dnl   * Data-dependent sorting.
  30 dnl - TITLES: )DATE, )TIME, )TABLE.
  31 dnl - SIGTEST
  32 dnl - COMPARETEST
  33 dnl - FORMAT:
  34 dnl   * MINCOLWIDTH, MAXCOLWIDTH, UNITS.
  35 dnl   * EMPTY.
  36 dnl   * MISSING.
  37 dnl - VLABELS.
  38 dnl - SMISSING.
  39 dnl - Test WEIGHT and adjustment weights.
  40 dnl - PCOMPUTE and PPROPERTIES.
  41 dnl - HIDESMALLCOUNTS.
  42 dnl - Are string ranges a thing?
  43
  44 # AT_SETUP([CTABLES parsing])
  45 # AT_DATA([ctables.sps],
  46 # [[DATA LIST LIST NOTABLE /x y z.
  47 # CTABLES /TABLE=(x + y) > z.
  48 # CTABLES /TABLE=(x[c] + y[c]) > z.
  49 # CTABLES /TABLE=(x + y) > z[c].
  50 # CTABLES /TABLE=x BY y BY z.
  51 # CTABLES /TABLE=x[c] [ROWPCT.COUNT] > y[c].
  52 # CTABLES /TABLE=x[c] > y[c] [ROWPCT.COUNT].
  53 # ]])
  54 # AT_CHECK([pspp ctables.sps])
  55 # AT_CLEANUP
  56
  57 AT_SETUP([CTABLES one categorical variable])
  58 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
  59 AT_DATA([ctables.sps],
  60 [[GET 'nhtsa.sav'.
  61 CTABLES /TABLE qn1.
  62 CTABLES /TABLE BY qn1.
  63 CTABLES /TABLE BY BY qn1.
  64 ]])
  65 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
  66                                   Custom Tables
  67 ╭────────────────────────────────────────────────────────────────────────┬─────╮
  68 │                                                                        │Count│
  69 ├────────────────────────────────────────────────────────────────────────┼─────┤
  70 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
  71 │motor vehicle?                                     Several days a week  │ 1274│
  72 │                                                   Once a week or less  │  361│
  73 │                                                   Only certain times a │  130│
  74 │                                                   year                 │     │
  75 │                                                   Never                │  540│
  76 ╰────────────────────────────────────────────────────────────────────────┴─────╯
  77
  78                                   Custom Tables
  79 ╭──────────────────────────────────────────────────────────────────────────────╮
  80 │        1. How often do you usually drive a car or other motor vehicle?       │
  81 ├─────────┬──────────────────┬──────────────────┬────────────────────────┬─────┤
  82 │         │  Several days a  │  Once a week or  │  Only certain times a  │     │
  83 │Every day│       week       │       less       │          year          │Never│
  84 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
  85 │  Count  │       Count      │       Count      │          Count         │Count│
  86 ├─────────┼──────────────────┼──────────────────┼────────────────────────┼─────┤
  87 │     4667│              1274│               361│                     130│  540│
  88 ╰─────────┴──────────────────┴──────────────────┴────────────────────────┴─────╯
  89
  90 Custom Tables
  91 Every day
  92 ╭─────╮
  93 │Count│
  94 ├─────┤
  95 │ 4667│
  96 ╰─────╯
  97 ])
  98 AT_CLEANUP
  99
 100 AT_SETUP([CTABLES one scale variable])
 101 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 102 AT_DATA([ctables.sps],
 103 [[GET 'nhtsa.sav'.
 104 CTABLES /TABLE qnd1[COUNT, MEAN, STDDEV, MINIMUM, MAXIMUM].
 105 CTABLES /TABLE BY qnd1.
 106 CTABLES /TABLE BY BY qnd1.
 107 ]])
 108 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 109                             Custom Tables
 110 ╭──────────────────────────┬─────┬────┬─────────────┬───────┬───────╮
 111 │                          │Count│Mean│Std Deviation│Minimum│Maximum│
 112 ├──────────────────────────┼─────┼────┼─────────────┼───────┼───────┤
 113 │D1. AGE: What is your age?│ 6930│  48│           19│     16│     86│
 114 ╰──────────────────────────┴─────┴────┴─────────────┴───────┴───────╯
 115
 116         Custom Tables
 117 ╭──────────────────────────╮
 118 │D1. AGE: What is your age?│
 119 ├──────────────────────────┤
 120 │           Mean           │
 121 ├──────────────────────────┤
 122 │                        48│
 123 ╰──────────────────────────╯
 124
 125 Custom Tables
 126 D1. AGE: What is your age?
 127 ╭────╮
 128 │Mean│
 129 ├────┤
 130 │  48│
 131 ╰────╯
 132 ])
 133 AT_CLEANUP
 134
 135 AT_SETUP([CTABLES simple stacking])
 136 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 137 AT_DATA([ctables.sps],
 138 [[GET 'nhtsa.sav'.
 139 CTABLES /TABLE qn105ba + qn105bb + qn105bc + qn105bd BY qns3a [COLPCT PCT8.0].
 140 ]])
 141 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 142                                   Custom Tables
 143 ╭───────────────────────────────────────────────────────────────┬──────────────╮
 144 │                                                               │ S3a. GENDER: │
 145 │                                                               ├──────┬───────┤
 146 │                                                               │ Male │ Female│
 147 │                                                               ├──────┼───────┤
 148 │                                                               │Column│ Column│
 149 │                                                               │   %  │   %   │
 150 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 151 │105b. How likely is it that drivers who have had   Almost      │   10%│    11%│
 152 │too much to drink to drive safely will A. Get      certain     │      │       │
 153 │stopped by the police?                             Very likely │   21%│    22%│
 154 │                                                   Somewhat    │   38%│    42%│
 155 │                                                   likely      │      │       │
 156 │                                                   Somewhat    │   21%│    18%│
 157 │                                                   unlikely    │      │       │
 158 │                                                   Very        │   10%│     8%│
 159 │                                                   unlikely    │      │       │
 160 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 161 │105b. How likely is it that drivers who have had   Almost      │   14%│    18%│
 162 │too much to drink to drive safely will B. Have an  certain     │      │       │
 163 │accident?                                          Very likely │   36%│    45%│
 164 │                                                   Somewhat    │   39%│    32%│
 165 │                                                   likely      │      │       │
 166 │                                                   Somewhat    │    9%│     4%│
 167 │                                                   unlikely    │      │       │
 168 │                                                   Very        │    3%│     2%│
 169 │                                                   unlikely    │      │       │
 170 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 171 │105b. How likely is it that drivers who have had   Almost      │   18%│    16%│
 172 │too much to drink to drive safely will C. Be       certain     │      │       │
 173 │convicted for drunk driving?                       Very likely │   32%│    28%│
 174 │                                                   Somewhat    │   27%│    32%│
 175 │                                                   likely      │      │       │
 176 │                                                   Somewhat    │   15%│    15%│
 177 │                                                   unlikely    │      │       │
 178 │                                                   Very        │    9%│     9%│
 179 │                                                   unlikely    │      │       │
 180 ├───────────────────────────────────────────────────────────────┼──────┼───────┤
 181 │105b. How likely is it that drivers who have had   Almost      │   16%│    16%│
 182 │too much to drink to drive safely will D. Be       certain     │      │       │
 183 │arrested for drunk driving?                        Very likely │   26%│    27%│
 184 │                                                   Somewhat    │   32%│    35%│
 185 │                                                   likely      │      │       │
 186 │                                                   Somewhat    │   17%│    15%│
 187 │                                                   unlikely    │      │       │
 188 │                                                   Very        │    9%│     7%│
 189 │                                                   unlikely    │      │       │
 190 ╰───────────────────────────────────────────────────────────────┴──────┴───────╯
 191 ])
 192 AT_CLEANUP
 193
 194 AT_SETUP([CTABLES show or hide empty categories])
 195 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 196 AT_DATA([ctables.sps],
 197 [[GET 'nhtsa.sav'.
 198 IF (qn105ba = 2) qn105ba = 1.
 199 IF (qns3a = 1) qns3a = 2.
 200 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0].
 201 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 202     /CATEGORIES VAR=qn105ba EMPTY=EXCLUDE.
 203 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 204     /CATEGORIES VAR=qns3a EMPTY=EXCLUDE.
 205 CTABLES /TABLE qn105ba BY qns3a [COLPCT PCT8.0]
 206     /CATEGORIES VAR=ALL EMPTY=EXCLUDE.
 207 ]])
 208 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 209                                   Custom Tables
 210 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 211 │                                                              │  S3a. GENDER: │
 212 │                                                              ├───────┬───────┤
 213 │                                                              │  Male │ Female│
 214 │                                                              ├───────┼───────┤
 215 │                                                              │ Column│ Column│
 216 │                                                              │   %   │   %   │
 217 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 218 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 219 │too much to drink to drive safely will A. Get      certain    │       │       │
 220 │stopped by the police?                             Very likely│      .│     0%│
 221 │                                                   Somewhat   │      .│    40%│
 222 │                                                   likely     │       │       │
 223 │                                                   Somewhat   │      .│    19%│
 224 │                                                   unlikely   │       │       │
 225 │                                                   Very       │      .│     9%│
 226 │                                                   unlikely   │       │       │
 227 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 228
 229                                   Custom Tables
 230 ╭──────────────────────────────────────────────────────────────┬───────────────╮
 231 │                                                              │  S3a. GENDER: │
 232 │                                                              ├───────┬───────┤
 233 │                                                              │  Male │ Female│
 234 │                                                              ├───────┼───────┤
 235 │                                                              │ Column│ Column│
 236 │                                                              │   %   │   %   │
 237 ├──────────────────────────────────────────────────────────────┼───────┼───────┤
 238 │105b. How likely is it that drivers who have had   Almost     │      .│    32%│
 239 │too much to drink to drive safely will A. Get      certain    │       │       │
 240 │stopped by the police?                             Somewhat   │      .│    40%│
 241 │                                                   likely     │       │       │
 242 │                                                   Somewhat   │      .│    19%│
 243 │                                                   unlikely   │       │       │
 244 │                                                   Very       │      .│     9%│
 245 │                                                   unlikely   │       │       │
 246 ╰──────────────────────────────────────────────────────────────┴───────┴───────╯
 247
 248                                   Custom Tables
 249 ╭────────────────────────────────────────────────────────────────────┬─────────╮
 250 │                                                                    │   S3a.  │
 251 │                                                                    │ GENDER: │
 252 │                                                                    ├─────────┤
 253 │                                                                    │  Female │
 254 │                                                                    ├─────────┤
 255 │                                                                    │ Column %│
 256 ├────────────────────────────────────────────────────────────────────┼─────────┤
 257 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 258 │much to drink to drive safely will A. Get stopped by    certain     │         │
 259 │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.  │
 271 │                                                                    │ GENDER: │
 272 │                                                                    ├─────────┤
 273 │                                                                    │  Female │
 274 │                                                                    ├─────────┤
 275 │                                                                    │ Column %│
 276 ├────────────────────────────────────────────────────────────────────┼─────────┤
 277 │105b. How likely is it that drivers who have had too    Almost      │      32%│
 278 │much to drink to drive safely will A. Get stopped by    certain     │         │
 279 │the police?                                             Somewhat    │      40%│
 280 │                                                        likely      │         │
 281 │                                                        Somewhat    │      19%│
 282 │                                                        unlikely    │         │
 283 │                                                        Very        │       9%│
 284 │                                                        unlikely    │         │
 285 ╰────────────────────────────────────────────────────────────────────┴─────────╯
 286 ])
 287 AT_CLEANUP
 288
 289 AT_SETUP([CTABLES simple nesting])
 290 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 291 AT_DATA([ctables.sps],
 292 [[GET 'nhtsa.sav'.
 293 CTABLES /TABLE (qn105ba + qn105bb + qn105bc + qn105bd) > qns3a [COUNT, TABLEPCT PCT8.0]
 294   /CATEGORIES VARIABLES=qns3a TOTAL=YES.
 295 CTABLES /TABLE qns3a > (qn105ba + qn105bb + qn105bc + qn105bd) [TABLEPCT PCT8.0]
 296   /CATEGORIES VARIABLES=qns3a TOTAL=YES
 297   /CLABELS ROW=OPPOSITE.
 298 ]])
 299 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 300                                   Custom Tables
 301 ╭─────────────────────────────────────────────────────────────────┬─────┬──────╮
 302 │                                                                 │     │ Table│
 303 │                                                                 │Count│   %  │
 304 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 305 │105b. How likely is it that drivers    Almost     S3a.     Male  │  297│    4%│
 306 │who have had too much to drink to      certain    GENDER:  Female│  403│    6%│
 307 │drive safely will A. Get stopped by                        Total │  700│   10%│
 308 │the police?                           ╶──────────────────────────┼─────┼──────┤
 309 │                                       Very       S3a.     Male  │  660│   10%│
 310 │                                       likely     GENDER:  Female│  842│   12%│
 311 │                                                           Total │ 1502│   22%│
 312 │                                      ╶──────────────────────────┼─────┼──────┤
 313 │                                       Somewhat   S3a.     Male  │ 1174│   17%│
 314 │                                       likely     GENDER:  Female│ 1589│   23%│
 315 │                                                           Total │ 2763│   40%│
 316 │                                      ╶──────────────────────────┼─────┼──────┤
 317 │                                       Somewhat   S3a.     Male  │  640│    9%│
 318 │                                       unlikely   GENDER:  Female│  667│   10%│
 319 │                                                           Total │ 1307│   19%│
 320 │                                      ╶──────────────────────────┼─────┼──────┤
 321 │                                       Very       S3a.     Male  │  311│    5%│
 322 │                                       unlikely   GENDER:  Female│  298│    4%│
 323 │                                                           Total │  609│    9%│
 324 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 325 │105b. How likely is it that drivers    Almost     S3a.     Male  │  429│    6%│
 326 │who have had too much to drink to      certain    GENDER:  Female│  671│   10%│
 327 │drive safely will B. Have an accident?                     Total │ 1100│   16%│
 328 │                                      ╶──────────────────────────┼─────┼──────┤
 329 │                                       Very       S3a.     Male  │ 1104│   16%│
 330 │                                       likely     GENDER:  Female│ 1715│   25%│
 331 │                                                           Total │ 2819│   41%│
 332 │                                      ╶──────────────────────────┼─────┼──────┤
 333 │                                       Somewhat   S3a.     Male  │ 1203│   17%│
 334 │                                       likely     GENDER:  Female│ 1214│   18%│
 335 │                                                           Total │ 2417│   35%│
 336 │                                      ╶──────────────────────────┼─────┼──────┤
 337 │                                       Somewhat   S3a.     Male  │  262│    4%│
 338 │                                       unlikely   GENDER:  Female│  168│    2%│
 339 │                                                           Total │  430│    6%│
 340 │                                      ╶──────────────────────────┼─────┼──────┤
 341 │                                       Very       S3a.     Male  │   81│    1%│
 342 │                                       unlikely   GENDER:  Female│   59│    1%│
 343 │                                                           Total │  140│    2%│
 344 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 345 │105b. How likely is it that drivers    Almost     S3a.     Male  │  539│    8%│
 346 │who have had too much to drink to      certain    GENDER:  Female│  610│    9%│
 347 │drive safely will C. Be convicted for                      Total │ 1149│   17%│
 348 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 349 │                                       Very       S3a.     Male  │  988│   14%│
 350 │                                       likely     GENDER:  Female│ 1049│   15%│
 351 │                                                           Total │ 2037│   30%│
 352 │                                      ╶──────────────────────────┼─────┼──────┤
 353 │                                       Somewhat   S3a.     Male  │  822│   12%│
 354 │                                       likely     GENDER:  Female│ 1210│   18%│
 355 │                                                           Total │ 2032│   30%│
 356 │                                      ╶──────────────────────────┼─────┼──────┤
 357 │                                       Somewhat   S3a.     Male  │  446│    7%│
 358 │                                       unlikely   GENDER:  Female│  548│    8%│
 359 │                                                           Total │  994│   15%│
 360 │                                      ╶──────────────────────────┼─────┼──────┤
 361 │                                       Very       S3a.     Male  │  268│    4%│
 362 │                                       unlikely   GENDER:  Female│  354│    5%│
 363 │                                                           Total │  622│    9%│
 364 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 365 │105b. How likely is it that drivers    Almost     S3a.     Male  │  498│    7%│
 366 │who have had too much to drink to      certain    GENDER:  Female│  603│    9%│
 367 │drive safely will D. Be arrested for                       Total │ 1101│   16%│
 368 │drunk driving?                        ╶──────────────────────────┼─────┼──────┤
 369 │                                       Very       S3a.     Male  │  805│   12%│
 370 │                                       likely     GENDER:  Female│ 1029│   15%│
 371 │                                                           Total │ 1834│   27%│
 372 │                                      ╶──────────────────────────┼─────┼──────┤
 373 │                                       Somewhat   S3a.     Male  │  975│   14%│
 374 │                                       likely     GENDER:  Female│ 1332│   19%│
 375 │                                                           Total │ 2307│   34%│
 376 │                                      ╶──────────────────────────┼─────┼──────┤
 377 │                                       Somewhat   S3a.     Male  │  535│    8%│
 378 │                                       unlikely   GENDER:  Female│  560│    8%│
 379 │                                                           Total │ 1095│   16%│
 380 │                                      ╶──────────────────────────┼─────┼──────┤
 381 │                                       Very       S3a.     Male  │  270│    4%│
 382 │                                       unlikely   GENDER:  Female│  279│    4%│
 383 │                                                           Total │  549│    8%│
 384 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 385
 386                                   Custom Tables
 387 ╭─────────────────────────────────┬────────┬──────┬─────────┬─────────┬────────╮
 388 │                                 │ Almost │ Very │ Somewhat│ Somewhat│  Very  │
 389 │                                 │ certain│likely│  likely │ unlikely│unlikely│
 390 │                                 ├────────┼──────┼─────────┼─────────┼────────┤
 391 │                                 │        │ Table│         │         │        │
 392 │                                 │ Table %│   %  │ Table % │ Table % │ Table %│
 393 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 394 │S3a.    Male   105b. How likely  │      4%│   10%│      17%│       9%│      5%│
 395 │GENDER:        is it that drivers│        │      │         │         │        │
 396 │               who have had too  │        │      │         │         │        │
 397 │               much to drink to  │        │      │         │         │        │
 398 │               drive safely will │        │      │         │         │        │
 399 │               A. Get stopped by │        │      │         │         │        │
 400 │               the police?       │        │      │         │         │        │
 401 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 402 │        Female 105b. How likely  │      6%│   12%│      23%│      10%│      4%│
 403 │               is it that drivers│        │      │         │         │        │
 404 │               who have had too  │        │      │         │         │        │
 405 │               much to drink to  │        │      │         │         │        │
 406 │               drive safely will │        │      │         │         │        │
 407 │               A. Get stopped by │        │      │         │         │        │
 408 │               the police?       │        │      │         │         │        │
 409 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 410 │        Total  105b. How likely  │     10%│   22%│      40%│      19%│      9%│
 411 │               is it that drivers│        │      │         │         │        │
 412 │               who have had too  │        │      │         │         │        │
 413 │               much to drink to  │        │      │         │         │        │
 414 │               drive safely will │        │      │         │         │        │
 415 │               A. Get stopped by │        │      │         │         │        │
 416 │               the police?       │        │      │         │         │        │
 417 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 418 │S3a.    Male   105b. How likely  │      6%│   16%│      17%│       4%│      1%│
 419 │GENDER:        is it that drivers│        │      │         │         │        │
 420 │               who have had too  │        │      │         │         │        │
 421 │               much to drink to  │        │      │         │         │        │
 422 │               drive safely will │        │      │         │         │        │
 423 │               B. Have an        │        │      │         │         │        │
 424 │               accident?         │        │      │         │         │        │
 425 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 426 │        Female 105b. How likely  │     10%│   25%│      18%│       2%│      1%│
 427 │               is it that drivers│        │      │         │         │        │
 428 │               who have had too  │        │      │         │         │        │
 429 │               much to drink to  │        │      │         │         │        │
 430 │               drive safely will │        │      │         │         │        │
 431 │               B. Have an        │        │      │         │         │        │
 432 │               accident?         │        │      │         │         │        │
 433 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 434 │        Total  105b. How likely  │     16%│   41%│      35%│       6%│      2%│
 435 │               is it that drivers│        │      │         │         │        │
 436 │               who have had too  │        │      │         │         │        │
 437 │               much to drink to  │        │      │         │         │        │
 438 │               drive safely will │        │      │         │         │        │
 439 │               B. Have an        │        │      │         │         │        │
 440 │               accident?         │        │      │         │         │        │
 441 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 442 │S3a.    Male   105b. How likely  │      8%│   14%│      12%│       7%│      4%│
 443 │GENDER:        is it that drivers│        │      │         │         │        │
 444 │               who have had too  │        │      │         │         │        │
 445 │               much to drink to  │        │      │         │         │        │
 446 │               drive safely will │        │      │         │         │        │
 447 │               C. Be convicted   │        │      │         │         │        │
 448 │               for drunk driving?│        │      │         │         │        │
 449 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 450 │        Female 105b. How likely  │      9%│   15%│      18%│       8%│      5%│
 451 │               is it that drivers│        │      │         │         │        │
 452 │               who have had too  │        │      │         │         │        │
 453 │               much to drink to  │        │      │         │         │        │
 454 │               drive safely will │        │      │         │         │        │
 455 │               C. Be convicted   │        │      │         │         │        │
 456 │               for drunk driving?│        │      │         │         │        │
 457 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 458 │        Total  105b. How likely  │     17%│   30%│      30%│      15%│      9%│
 459 │               is it that drivers│        │      │         │         │        │
 460 │               who have had too  │        │      │         │         │        │
 461 │               much to drink to  │        │      │         │         │        │
 462 │               drive safely will │        │      │         │         │        │
 463 │               C. Be convicted   │        │      │         │         │        │
 464 │               for drunk driving?│        │      │         │         │        │
 465 ├─────────────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 466 │S3a.    Male   105b. How likely  │      7%│   12%│      14%│       8%│      4%│
 467 │GENDER:        is it that drivers│        │      │         │         │        │
 468 │               who have had too  │        │      │         │         │        │
 469 │               much to drink to  │        │      │         │         │        │
 470 │               drive safely will │        │      │         │         │        │
 471 │               D. Be arrested for│        │      │         │         │        │
 472 │               drunk driving?    │        │      │         │         │        │
 473 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 474 │        Female 105b. How likely  │      9%│   15%│      19%│       8%│      4%│
 475 │               is it that drivers│        │      │         │         │        │
 476 │               who have had too  │        │      │         │         │        │
 477 │               much to drink to  │        │      │         │         │        │
 478 │               drive safely will │        │      │         │         │        │
 479 │               D. Be arrested for│        │      │         │         │        │
 480 │               drunk driving?    │        │      │         │         │        │
 481 │       ╶─────────────────────────┼────────┼──────┼─────────┼─────────┼────────┤
 482 │        Total  105b. How likely  │     16%│   27%│      34%│      16%│      8%│
 483 │               is it that drivers│        │      │         │         │        │
 484 │               who have had too  │        │      │         │         │        │
 485 │               much to drink to  │        │      │         │         │        │
 486 │               drive safely will │        │      │         │         │        │
 487 │               D. Be arrested for│        │      │         │         │        │
 488 │               drunk driving?    │        │      │         │         │        │
 489 ╰─────────────────────────────────┴────────┴──────┴─────────┴─────────┴────────╯
 490 ])
 491 AT_CLEANUP
 492
 493 AT_SETUP([CTABLES nesting and scale variables])
 494 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 495 AT_DATA([ctables.sps],
 496 [[GET 'nhtsa.sav'.
 497 CTABLES /TABLE=qnd1 > qn1 BY qns3a.
 498 CTABLES /TABLE=qnd1 [MINIMUM, MAXIMUM, MEAN] > qns3a > (qn26 + qn27).
 499 CTABLES /TABLE=qnsa1 > qn105ba [COLPCT] BY qns1
 500   /CATEGORIES VAR=qnsa1 EMPTY=EXCLUDE.
 501 CTABLES /TABLE=AgeGroup > qn20 [MEAN F8.1, STDDEV F8.1].
 502 ]])
 503 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 504                                   Custom Tables
 505 ╭─────────────────────────────────────────────────────────────────┬────────────╮
 506 │                                                                 │S3a. GENDER:│
 507 │                                                                 ├─────┬──────┤
 508 │                                                                 │ Male│Female│
 509 │                                                                 ├─────┼──────┤
 510 │                                                                 │ Mean│ Mean │
 511 ├─────────────────────────────────────────────────────────────────┼─────┼──────┤
 512 │D1. AGE: What   1. How often do you usually drive Every day      │   46│    46│
 513 │is your age?   a car or other motor vehicle?      Several days a │   51│    59│
 514 │                                                  week           │     │      │
 515 │                                                  Once a week or │   44│    54│
 516 │                                                  less           │     │      │
 517 │                                                  Only certain   │   34│    41│
 518 │                                                  times a year   │     │      │
 519 │                                                  Never          │   39│    55│
 520 ╰─────────────────────────────────────────────────────────────────┴─────┴──────╯
 521
 522                                   Custom Tables
 523 ╭─────────────────────────────────────────────────────────┬───────┬───────┬────╮
 524 │                                                         │Minimum│Maximum│Mean│
 525 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 526 │D1. AGE: S3a.     Male   26. During the last 12       Yes│     16│     86│  42│
 527 │What is  GENDER:         months, has there been a        │       │       │    │
 528 │your                     time when you felt you          │       │       │    │
 529 │age?                     should cut down on your      No │     16│     86│  46│
 530 │                         drinking?                       │       │       │    │
 531 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 532 │                  Female 26. During the last 12       Yes│     16│     86│  43│
 533 │                         months, has there been a        │       │       │    │
 534 │                         time when you felt you          │       │       │    │
 535 │                         should cut down on your      No │     16│     86│  48│
 536 │                         drinking?                       │       │       │    │
 537 ├─────────────────────────────────────────────────────────┼───────┼───────┼────┤
 538 │D1. AGE: S3a.     Male   27. During the last 12       Yes│     16│     86│  38│
 539 │What is  GENDER:         months, has there been a        │       │       │    │
 540 │your                     time when people criticized  No │     16│     86│  46│
 541 │age?                     your drinking?                  │       │       │    │
 542 │                 ╶───────────────────────────────────────┼───────┼───────┼────┤
 543 │                  Female 27. During the last 12       Yes│     17│     69│  37│
 544 │                         months, has there been a        │       │       │    │
 545 │                         time when people criticized  No │     16│     86│  48│
 546 │                         your drinking?                  │       │       │    │
 547 ╰─────────────────────────────────────────────────────────┴───────┴───────┴────╯
 548
 549                                   Custom Tables
 550 ╭─────────────────────────────┬────────────────────────────────────────────────╮
 551 │                             │S1. Including yourself, how many members of this│
 552 │                             │         household are age 16 or older?         │
 553 │                             ├──────┬──────┬──────┬──────┬──────┬──────┬──────┤
 554 │                             │      │      │      │      │      │      │ 6 or │
 555 │                             │ None │   1  │   2  │   3  │   4  │   5  │ more │
 556 │                             ├──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 557 │                             │Column│Column│Column│Column│Column│Column│Column│
 558 │                             │   %  │   %  │   %  │   %  │   %  │   %  │   %  │
 559 ├─────────────────────────────┼──────┼──────┼──────┼──────┼──────┼──────┼──────┤
 560 │Sa1.    RDD 105b.    Almost  │     .│  9.5%│  8.2%│ 12.4%│  9.9%│ 20.0%│ 23.8%│
 561 │SAMPLE      How      certain │      │      │      │      │      │      │      │
 562 │SOURCE:     likely           │      │      │      │      │      │      │      │
 563 │            is it    Very    │     .│ 24.9%│ 18.5%│ 24.0%│ 26.6%│ 25.5%│ 33.3%│
 564 │            that     likely  │      │      │      │      │      │      │      │
 565 │            drivers          │      │      │      │      │      │      │      │
 566 │            who have         │      │      │      │      │      │      │      │
 567 │            had too  Somewhat│     .│ 38.3%│ 41.9%│ 38.6%│ 37.5%│ 36.4%│ 23.8%│
 568 │            much to  likely  │      │      │      │      │      │      │      │
 569 │            drink to         │      │      │      │      │      │      │      │
 570 │            drive            │      │      │      │      │      │      │      │
 571 │            safely   Somewhat│     .│ 18.1%│ 21.7%│ 16.8%│ 16.7%│ 10.9%│  9.5%│
 572 │            will A.  unlikely│      │      │      │      │      │      │      │
 573 │            Get              │      │      │      │      │      │      │      │
 574 │            stopped  Very    │     .│  9.2%│  9.7%│  8.2%│  9.4%│  7.3%│  9.5%│
 575 │            by the   unlikely│      │      │      │      │      │      │      │
 576 │            police?          │      │      │      │      │      │      │      │
 577 ╰─────────────────────────────┴──────┴──────┴──────┴──────┴──────┴──────┴──────╯
 578
 579                                   Custom Tables
 580 ╭──────────────────────────────────────────────────────────────┬────┬──────────╮
 581 │                                                              │    │    Std   │
 582 │                                                              │Mean│ Deviation│
 583 ├──────────────────────────────────────────────────────────────┼────┼──────────┤
 584 │Age    16 to 25 20. On how many of the thirty days in this    │ 5.2│       6.0│
 585 │group           typical month did you have one or more        │    │          │
 586 │                alcoholic beverages to drink?                 │    │          │
 587 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 588 │       26 to 35 20. On how many of the thirty days in this    │ 4.7│       5.9│
 589 │                typical month did you have one or more        │    │          │
 590 │                alcoholic beverages to drink?                 │    │          │
 591 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 592 │       36 to 45 20. On how many of the thirty days in this    │ 5.5│       6.8│
 593 │                typical month did you have one or more        │    │          │
 594 │                alcoholic beverages to drink?                 │    │          │
 595 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 596 │       46 to 55 20. On how many of the thirty days in this    │ 5.8│       7.7│
 597 │                typical month did you have one or more        │    │          │
 598 │                alcoholic beverages to drink?                 │    │          │
 599 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 600 │       56 to 65 20. On how many of the thirty days in this    │ 6.3│       8.2│
 601 │                typical month did you have one or more        │    │          │
 602 │                alcoholic beverages to drink?                 │    │          │
 603 │      ╶───────────────────────────────────────────────────────┼────┼──────────┤
 604 │       66 or    20. On how many of the thirty days in this    │ 7.1│       9.2│
 605 │       older    typical month did you have one or more        │    │          │
 606 │                alcoholic beverages to drink?                 │    │          │
 607 ╰──────────────────────────────────────────────────────────────┴────┴──────────╯
 608 ])
 609 AT_CLEANUP
 610
 611
 612 AT_SETUP([CTABLES SLABELS])
 613 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 614 AT_DATA([ctables.sps],
 615 [[GET 'nhtsa.sav'.
 616 CTABLES /TABLE qn1 [COUNT COLPCT].
 617 CTABLES /TABLE qn1 [COUNT COLPCT]
 618     /SLABELS POSITION=ROW.
 619 CTABLES /TABLE qn1 [COUNT COLPCT]
 620     /SLABELS POSITION=ROW VISIBLE=NO.
 621 ]])
 622 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 623                                   Custom Tables
 624 ╭────────────────────────────────────────────────────────────────┬─────┬───────╮
 625 │                                                                │     │ Column│
 626 │                                                                │Count│   %   │
 627 ├────────────────────────────────────────────────────────────────┼─────┼───────┤
 628 │ 1. How often do you usually drive a car or  Every day          │ 4667│  66.9%│
 629 │other motor vehicle?                         Several days a week│ 1274│  18.3%│
 630 │                                             Once a week or less│  361│   5.2%│
 631 │                                             Only certain times │  130│   1.9%│
 632 │                                             a year             │     │       │
 633 │                                             Never              │  540│   7.7%│
 634 ╰────────────────────────────────────────────────────────────────┴─────┴───────╯
 635
 636                                   Custom Tables
 637 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 638 │ 1. How often do you usually drive a car or  Every day           Count  │ 4667│
 639 │other motor vehicle?                                             Column │66.9%│
 640 │                                                                 %      │     │
 641 │                                            ╶───────────────────────────┼─────┤
 642 │                                             Several days a week Count  │ 1274│
 643 │                                                                 Column │18.3%│
 644 │                                                                 %      │     │
 645 │                                            ╶───────────────────────────┼─────┤
 646 │                                             Once a week or less Count  │  361│
 647 │                                                                 Column │ 5.2%│
 648 │                                                                 %      │     │
 649 │                                            ╶───────────────────────────┼─────┤
 650 │                                             Only certain times  Count  │  130│
 651 │                                             a year              Column │ 1.9%│
 652 │                                                                 %      │     │
 653 │                                            ╶───────────────────────────┼─────┤
 654 │                                             Never               Count  │  540│
 655 │                                                                 Column │ 7.7%│
 656 │                                                                 %      │     │
 657 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 658
 659                                   Custom Tables
 660 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 661 │ 1. How often do you usually drive a car or other  Every day            │ 4667│
 662 │motor vehicle?                                                          │66.9%│
 663 │                                                   Several days a week  │ 1274│
 664 │                                                                        │18.3%│
 665 │                                                   Once a week or less  │  361│
 666 │                                                                        │ 5.2%│
 667 │                                                   Only certain times a │  130│
 668 │                                                   year                 │ 1.9%│
 669 │                                                   Never                │  540│
 670 │                                                                        │ 7.7%│
 671 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 672 ])
 673 AT_CLEANUP
 674
 675 AT_SETUP([CTABLES simple totals])
 676 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 677 AT_DATA([ctables.sps],
 678 [[GET 'nhtsa.sav'.
 679 CTABLES /TABLE=qn17
 680     /CATEGORIES VARIABLES=qn17 TOTAL=YES LABEL='Number responding'.
 681 CTABLES /TABLE=region > qn18 [MEAN, COUNT]
 682     /CATEGORIES VARIABLES=region TOTAL=YES LABEL='All regions'.
 683 ]])
 684 AT_CHECK([pspp ctables.sps -O box=unicode -O width=80], [0], [dnl
 685                                   Custom Tables
 686 ╭────────────────────────────────────────────────────────────────────────┬─────╮
 687 │                                                                        │Count│
 688 ├────────────────────────────────────────────────────────────────────────┼─────┤
 689 │17. When you drink alcoholic beverages, which ONE of  OR, something else│    2│
 690 │the following beverages do you drink MOST OFTEN?      Beer              │ 1073│
 691 │                                                      Light beer        │  620│
 692 │                                                      Wine              │ 1418│
 693 │                                                      Wine coolers      │  137│
 694 │                                                      Hard liquor or    │  888│
 695 │                                                      mixed drinks      │     │
 696 │                                                      Flavored malt     │   83│
 697 │                                                      drinks            │     │
 698 │                                                      Number responding │ 4221│
 699 ╰────────────────────────────────────────────────────────────────────────┴─────╯
 700
 701                                   Custom Tables
 702 ╭───────────────────────────────────────────────────────────────────┬────┬─────╮
 703 │                                                                   │Mean│Count│
 704 ├───────────────────────────────────────────────────────────────────┼────┼─────┤
 705 │Region NE       18. When you drink ANSWERFROM(QN17R1), about how   │4.36│  949│
 706 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 707 │                sitting?                                           │    │     │
 708 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 709 │       MW       18. When you drink ANSWERFROM(QN17R1), about how   │4.67│ 1027│
 710 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 711 │                sitting?                                           │    │     │
 712 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 713 │       S        18. When you drink ANSWERFROM(QN17R1), about how   │4.71│ 1287│
 714 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 715 │                sitting?                                           │    │     │
 716 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 717 │       W        18. When you drink ANSWERFROM(QN17R1), about how   │4.69│  955│
 718 │                many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 719 │                sitting?                                           │    │     │
 720 │      ╶────────────────────────────────────────────────────────────┼────┼─────┤
 721 │       All      18. When you drink ANSWERFROM(QN17R1), about how   │4.62│ 4218│
 722 │       regions  many ANSWERFROM(QN17R2) do you usually drink per   │    │     │
 723 │                sitting?                                           │    │     │
 724 ╰───────────────────────────────────────────────────────────────────┴────┴─────╯
 725 ])
 726 AT_CLEANUP
 727
 728 AT_SETUP([CTABLES subtotals])
 729 AT_CHECK([ln $top_srcdir/examples/nhtsa.sav . || cp $top_srcdir/examples/nhtsa.sav .])
 730 AT_DATA([ctables.sps],
 731 [[GET 'nhtsa.sav'.
 732 CTABLES /TABLE=qn105ba BY qns1
 733     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 734 CTABLES /TABLE=qn105ba [COLPCT] BY qns1
 735     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL].
 736 CTABLES /TABLE=qn105ba BY qns1
 737     /CATEGORIES VARIABLES=qn105ba [1, 2, 3, SUBTOTAL, 4, 5, SUBTOTAL]
 738     /CATEGORIES VARIABLES=qns1 [1, 2, SUBTOTAL, 3, 4, 5, SUBTOTAL].
 739 ]])
 740 AT_CHECK([pspp ctables.sps -O box=unicode -O width=120], [0], [dnl
 741                                                       Custom Tables
 742 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 743 │                                                         │ S1. Including yourself, how many members of this household │
 744 │                                                         │                    are age 16 or older?                    │
 745 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 746 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 747 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 748 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 749 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 750 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 751 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 752 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 753 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 754 │                                              likely     │       │       │         │       │        │      │          │
 755 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 756 │                                              unlikely   │       │       │         │       │        │      │          │
 757 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 758 │                                              unlikely   │       │       │         │       │        │      │          │
 759 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 760
 761                                                       Custom Tables
 762 ╭────────────────────────────────────────────────────────┬─────────────────────────────────────────────────────────────╮
 763 │                                                        │  S1. Including yourself, how many members of this household │
 764 │                                                        │                     are age 16 or older?                    │
 765 │                                                        ├────────┬────────┬────────┬────────┬───────┬────────┬────────┤
 766 │                                                        │        │        │        │        │       │        │  6 or  │
 767 │                                                        │  None  │    1   │    2   │    3   │   4   │    5   │  more  │
 768 │                                                        ├────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 769 │                                                        │        │        │        │        │ Column│        │        │
 770 │                                                        │Column %│Column %│Column %│Column %│   %   │Column %│Column %│
 771 ├────────────────────────────────────────────────────────┼────────┼────────┼────────┼────────┼───────┼────────┼────────┤
 772 │105b. How likely is it that drivers who have Almost     │       .│    9.5%│    8.2%│   12.4%│   9.9%│   20.0%│   23.8%│
 773 │had too much to drink to drive safely will   certain    │        │        │        │        │       │        │        │
 774 │A. Get stopped by the police?                Very likely│       .│   24.9%│   18.5%│   24.0%│  26.6%│   25.5%│   33.3%│
 775 │                                             Somewhat   │       .│   38.3%│   41.9%│   38.6%│  37.5%│   36.4%│   23.8%│
 776 │                                             likely     │        │        │        │        │       │        │        │
 777 │                                             Subtotal   │        │   72.8%│   68.6%│   75.0%│  74.0%│   81.8%│   81.0%│
 778 │                                             Somewhat   │       .│   18.1%│   21.7%│   16.8%│  16.7%│   10.9%│    9.5%│
 779 │                                             unlikely   │        │        │        │        │       │        │        │
 780 │                                             Very       │       .│    9.2%│    9.7%│    8.2%│   9.4%│    7.3%│    9.5%│
 781 │                                             unlikely   │        │        │        │        │       │        │        │
 782 │                                             Subtotal   │        │   27.2%│   31.4%│   25.0%│  26.0%│   18.2%│   19.0%│
 783 ╰────────────────────────────────────────────────────────┴────────┴────────┴────────┴────────┴───────┴────────┴────────╯
 784
 785                                                       Custom Tables
 786 ╭─────────────────────────────────────────────────────────┬────────────────────────────────────────────────────────────╮
 787 │                                                         │ S1. Including yourself, how many members of this household │
 788 │                                                         │                    are age 16 or older?                    │
 789 │                                                         ├───────┬───────┬─────────┬───────┬────────┬──────┬──────────┤
 790 │                                                         │   1   │   2   │ Subtotal│   3   │    4   │   5  │ Subtotal │
 791 │                                                         ├───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 792 │                                                         │ Count │ Count │  Count  │ Count │  Count │ Count│   Count  │
 793 ├─────────────────────────────────────────────────────────┼───────┼───────┼─────────┼───────┼────────┼──────┼──────────┤
 794 │105b. How likely is it that drivers who have  Almost     │    147│    246│      393│     62│      19│    11│        92│
 795 │had too much to drink to drive safely will A. certain    │       │       │         │       │        │      │          │
 796 │Get stopped by the police?                    Very likely│    384│    552│      936│    120│      51│    14│       185│
 797 │                                              Somewhat   │    590│   1249│     1839│    193│      72│    20│       285│
 798 │                                              likely     │       │       │         │       │        │      │          │
 799 │                                              Subtotal   │   1121│   2047│     3168│    375│     142│    45│       562│
 800 │                                              Somewhat   │    278│    647│      925│     84│      32│     6│       122│
 801 │                                              unlikely   │       │       │         │       │        │      │          │
 802 │                                              Very       │    141│    290│      431│     41│      18│     4│        63│
 803 │                                              unlikely   │       │       │         │       │        │      │          │
 804 │                                              Subtotal   │    419│    937│     1356│    125│      50│    10│       185│
 805 ╰─────────────────────────────────────────────────────────┴───────┴───────┴─────────┴───────┴────────┴──────┴──────────╯
 806 ])
 807 AT_CLEANUP