+++ /dev/null
-dnl PSPP - a program for statistical analysis.
-dnl Copyright (C) 2017, 2019 Free Software Foundation, Inc.
-dnl
-dnl This program is free software: you can redistribute it and/or modify
-dnl it under the terms of the GNU General Public License as published by
-dnl the Free Software Foundation, either version 3 of the License, or
-dnl (at your option) any later version.
-dnl
-dnl This program is distributed in the hope that it will be useful,
-dnl but WITHOUT ANY WARRANTY; without even the implied warranty of
-dnl MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-dnl GNU General Public License for more details.
-dnl
-dnl You should have received a copy of the GNU General Public License
-dnl along with this program. If not, see <http://www.gnu.org/licenses/>.
-dnl
-AT_BANNER([MEANS procedure])
-
-AT_SETUP([MEANS simple])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-simple.sps], [dnl
-data list notable list /hand * score * w *.
-begin data.
-1 17 4
-1 16 5
-2 21 1
-2 22 1
-2 20 8
-end data.
-
-weight by w.
-
-means tables = score by hand
- /cells = mean count.
-])
-
-AT_CHECK([pspp -O format=csv means-simple.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * hand,19,100.0%,0,.0%,19,100.0%
-
-Table: Report
-hand,Mean,N
-1.00,16.44,9
-2.00,20.30,10
-Total,18.47,19
-])
-
-AT_CLEANUP
-
-AT_SETUP([MEANS very simple])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([very-simple.sps], [dnl
-data list notable list /score *.
-begin data.
-17
-17
-17
-16
-17
-16
-16
-16
-16
-21
-22
-20
-20
-20
-20
-20
-20
-20
-20
-end data.
-
-means tables = score
- /cells = mean count.
-])
-
-AT_CHECK([pspp -O format=csv very-simple.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score,19,100.0%,0,.0%,19,100.0%
-
-Table: Report
-Mean,N
-18.47,19
-])
-
-AT_CLEANUP
-
-
-AT_SETUP([MEANS empty factor spec])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-bad.sps], [dnl
-data list list /outcome *.
-begin data.
-1
-2
-3
-end data.
-
-MEANS TABLES = outcome
- BY.
-])
-
-AT_CHECK([pspp -O format=csv means-bad.sps], [1], [ignore])
-
-AT_CLEANUP
-
-
-
-AT_SETUP([MEANS parser bug])
-AT_KEYWORDS([categorical categoricals])
-
-dnl This bug caused an infinite loop
-AT_DATA([means-bad.sps], [dnl
-DATA LIST notable LIST /a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 fylo *.
-begin data.
-1 2 3 4 5 6 7 8 9 0 11
-end data.
-
-MEANS TABLES = a1 a2 a3 a4 a5 a6 a7 a8 a9 a10a BY fylo.
-])
-
-AT_CHECK([pspp -O format=csv means-bad.sps], [1], [ignore])
-
-AT_CLEANUP
-
-
-dnl This example is based upon info from https://libguides.library.kent.edu/SPSS/CompareMeans
-AT_SETUP([MEANS default missing behaviour])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-missing.sps], [dnl
-data list notable list /w * score * a * b *.
-begin data
- 12 . 0 0
- 13 . 0 1
- 11 . 1 0
- 7 . 1 1
- 5 1 0 .
- 91 1 0 0
- 130 1 0 1
- 4 1 1 .
- 90 1 1 0
- 72 1 1 1
-end data.
-
-weight by w.
-
-MEANS tables=score
- /cells = count.
-
-MEANS tables=score by a
- /cells = count.
-
-MEANS tables=score by a by b
- /cells = count.
-])
-
-AT_CHECK([pspp -O format=csv means-missing.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score,392,90.1%,43,9.9%,435,100.0%
-
-Table: Report
-N
-392
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * a,392,90.1%,43,9.9%,435,100.0%
-
-Table: Report
-a,N
-.00,226
-1.00,166
-Total,392
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * a * b,383,88.0%,52,12.0%,435,100.0%
-
-Table: Report
-a,b,N
-.00,.00,91
-,1.00,130
-,Total,221
-1.00,.00,90
-,1.00,72
-,Total,162
-Total,.00,181
-,1.00,202
-,Total,383
-])
-
-AT_CLEANUP
-
-
-dnl This example from https://www.spss-tutorials.com/spss-means-command/
-AT_SETUP([MEANS two way])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-freelancer.sps], [dnl
-data list notable list /income_2010 * gender sector_2010.
-begin data
-6072.40 0 5
-12706.65 1 4
-14912.82 0 2
-16338.36 1 5
-22606.99 0 .
-23544.95 1 1
-24985.21 0 2
-26586.48 0 1
-29076.24 1 3
-31010.18 0 2
-33190.63 1 1
-35570.67 1 4
-36202.60 1 4
-36205.85 1 2
-36262.56 1 .
-38283.56 0 1
-38569.91 1 5
-39057.56 1 4
-39594.68 1 5
-42087.38 0 1
-42370.92 0 2
-42931.32 1 2
-45907.58 0 4
-45911.32 1 .
-47227.09 1 3
-50440.71 1 5
-57440.17 1 3
-58918.86 0 5
-59430.07 1 2
-61135.95 0 4
-64193.85 0 4
-64857.02 0 3
-65903.42 0 4
-66592.38 1 3
-70986.10 0 3
-71229.94 0 4
-74663.05 1 4
-76676.14 1 4
-79260.80 0 4
-80311.71 0 4
-end data.
-
-means income_2010 by gender by sector_2010
- /cells count min mean stddev.
-])
-
-AT_CHECK([pspp -O format=csv means-freelancer.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-income_2010 * gender * sector_2010,37,92.5%,3,7.5%,40,100.0%
-
-Table: Report
-gender,sector_2010,N,Minimum,Mean,Std. Deviation
-.00,1.00,3,26586.48,35652.47,8078.46
-,2.00,4,14912.82,28319.78,11482.43
-,3.00,2,64857.02,67921.56,4333.91
-,4.00,7,45907.58,66849.04,11787.11
-,5.00,2,6072.40,32495.63,37368.09
-,Total,18,6072.40,49389.68,22371.48
-1.00,1.00,2,23544.95,28367.79,6820.53
-,2.00,3,36205.85,46189.08,11949.93
-,3.00,4,29076.24,50083.97,16084.44
-,4.00,6,12706.65,45812.78,24995.16
-,5.00,4,16338.36,36235.92,14311.04
-,Total,19,12706.65,42918.90,17851.64
-Total,1.00,5,23544.95,32738.60,7757.62
-,2.00,7,14912.82,35978.05,14309.27
-,3.00,6,29076.24,56029.83,15615.06
-,4.00,13,12706.65,57139.99,21187.85
-,5.00,6,6072.40,34989.15,20146.69
-,Total,37,6072.40,46066.84,20160.12
-])
-
-AT_CLEANUP
-
-
-dnl Check that rows are suppressed and that things generally work ok
-dnl when there are a 2 way instance contains an unbalanced set of
-dnl categorical values.
-AT_SETUP([MEANS unbalanced])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-unbalanced.sps], [dnl
-data list notable list /b c x *.
-begin data.
-4 1 123
-3 1 123
-5 0 246
-4 0 246
-3 0 246
-end data.
-
-* The data above lack a 5 1 case.
-
-means
- table=x by b by c
- /cells = mean count
- .
-])
-
-AT_CHECK([pspp -O format=csv means-unbalanced.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-x * b * c,5,100.0%,0,.0%,5,100.0%
-
-Table: Report
-b,c,Mean,N
-3.00,.00,246.00,1
-,1.00,123.00,1
-,Total,184.50,2
-4.00,.00,246.00,1
-,1.00,123.00,1
-,Total,184.50,2
-5.00,.00,246.00,1
-,Total,246.00,1
-Total,.00,246.00,3
-,1.00,123.00,2
-,Total,196.80,5
-])
-
-AT_CLEANUP
-
-dnl This example kindly provided by Dana Williams
-AT_SETUP([MEANS three way])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-threeway.sps], [dnl
-data list notable list /score a b c.
-begin data.
-3 0 0 0
-4 0 0 1
-41 0 0 2
-5 0 1 0
-6 0 1 1
-7 1 0 0
-8 1 0 1
-9 1 1 0
-10 1 1 1
-end data.
-
-means score by a by b by c.
-])
-
-AT_CHECK([pspp -O format=csv means-threeway.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * a * b * c,9,100.0%,0,.0%,9,100.0%
-
-Table: Report
-a,b,c,Mean,N,Std. Deviation
-.00,.00,.00,3.00,1,NaN
-,,1.00,4.00,1,NaN
-,,2.00,41.00,1,NaN
-,,Total,16.00,3,21.66
-,1.00,.00,5.00,1,NaN
-,,1.00,6.00,1,NaN
-,,Total,5.50,2,.71
-,Total,.00,4.00,2,1.41
-,,1.00,5.00,2,1.41
-,,2.00,41.00,1,NaN
-,,Total,11.80,5,16.36
-1.00,.00,.00,7.00,1,NaN
-,,1.00,8.00,1,NaN
-,,Total,7.50,2,.71
-,1.00,.00,9.00,1,NaN
-,,1.00,10.00,1,NaN
-,,Total,9.50,2,.71
-,Total,.00,8.00,2,1.41
-,,1.00,9.00,2,1.41
-,,Total,8.50,4,1.29
-Total,.00,.00,5.00,2,2.83
-,,1.00,6.00,2,2.83
-,,2.00,41.00,1,NaN
-,,Total,12.60,5,16.01
-,1.00,.00,7.00,2,2.83
-,,1.00,8.00,2,2.83
-,,Total,7.50,4,2.38
-,Total,.00,6.00,4,2.58
-,,1.00,7.00,4,2.58
-,,2.00,41.00,1,NaN
-,,Total,10.33,9,11.73
-])
-
-AT_CLEANUP
-
-dnl The above example again, but with string variables for
-dnl the control vars.
-AT_SETUP([MEANS three way string])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-threeway-string.sps], [dnl
-data list notable list /score (f22.2) a (a24) b (a16) c (a8).
-begin data.
-3 fooberrycrumblexzaQ fosilationwereqd zero
-4 fooberrycrumblexzaQ fosilationwereqd one
-41 fooberrycrumblexzaQ fosilationwereqd two
-5 fooberrycrumblexzaQ onlyonekonboys zero
-6 fooberrycrumblexzaQ onlyonekonboys one
-7 wontledingbatsXASDF fosilationwereqd zero
-8 wontledingbatsXASDF fosilationwereqd one
-9 wontledingbatsXASDF onlyonekonboys zero
-10 wontledingbatsXASDF onlyonekonboys one
-end data.
-
-means score by a by b by c.
-])
-
-AT_CHECK([pspp -O format=csv means-threeway-string.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * a * b * c,9,100.0%,0,.0%,9,100.0%
-
-Table: Report
-a,b,c,Mean,N,Std. Deviation
-fooberrycrumblexzaQ,fosilationwereqd,one,4.00,1,NaN
-,,two,41.00,1,NaN
-,,zero,3.00,1,NaN
-,,Total,16.00,3,21.66
-,onlyonekonboys,one,6.00,1,NaN
-,,zero,5.00,1,NaN
-,,Total,5.50,2,.71
-,Total,one,5.00,2,1.41
-,,two,41.00,1,NaN
-,,zero,4.00,2,1.41
-,,Total,11.80,5,16.36
-wontledingbatsXASDF,fosilationwereqd,one,8.00,1,NaN
-,,zero,7.00,1,NaN
-,,Total,7.50,2,.71
-,onlyonekonboys,one,10.00,1,NaN
-,,zero,9.00,1,NaN
-,,Total,9.50,2,.71
-,Total,one,9.00,2,1.41
-,,zero,8.00,2,1.41
-,,Total,8.50,4,1.29
-Total,fosilationwereqd,one,6.00,2,2.83
-,,two,41.00,1,NaN
-,,zero,5.00,2,2.83
-,,Total,12.60,5,16.01
-,onlyonekonboys,one,8.00,2,2.83
-,,zero,7.00,2,2.83
-,,Total,7.50,4,2.38
-,Total,one,7.00,4,2.58
-,,two,41.00,1,NaN
-,,zero,6.00,4,2.58
-,,Total,10.33,9,11.73
-])
-
-AT_CLEANUP
-
-
-
-dnl An example with multiple tables
-AT_SETUP([MEANS multiple tables])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-multi-table.sps], [dnl
-data list notable list /a * b * c * x * y *.
-begin data.
-6 3 0 123 456
-6 3 1 123 456
-6 4 0 123 456
-6 4 1 123 456
-6 5 0 123 456
-6 5 1 123 456
-7 3 0 123 456
-7 3 1 123 456
-7 4 0 123 456
-7 4 1 123 456
-7 5 0 123 456
-7 5 1 123 456
-8 3 0 123 456
-8 3 1 123 456
-8 4 0 123 456
-8 4 1 123 456
-8 5 0 123 456
-8 5 1 123 456
-9 3 0 123 456
-9 3 1 123 456
-9 4 0 123 456
-9 4 1 123 456
-9 5 0 123 456
-9 5 1 123 456
-end data.
-
-
-means table = x by b by c
- /x by b
- /y by a by b
- cells = min count .
-])
-
-AT_CHECK([pspp -O format=csv means-multi-table.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-x * b * c,24,100.0%,0,.0%,24,100.0%
-
-Table: Report
-b,c,Minimum,N
-3.00,.00,123.00,4
-,1.00,123.00,4
-,Total,123.00,8
-4.00,.00,123.00,4
-,1.00,123.00,4
-,Total,123.00,8
-5.00,.00,123.00,4
-,1.00,123.00,4
-,Total,123.00,8
-Total,.00,123.00,12
-,1.00,123.00,12
-,Total,123.00,24
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-x * b,24,100.0%,0,.0%,24,100.0%
-
-Table: Report
-b,Minimum,N
-3.00,123.00,8
-4.00,123.00,8
-5.00,123.00,8
-Total,123.00,24
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-y * a * b,24,100.0%,0,.0%,24,100.0%
-
-Table: Report
-a,b,Minimum,N
-6.00,3.00,456.00,2
-,4.00,456.00,2
-,5.00,456.00,2
-,Total,456.00,6
-7.00,3.00,456.00,2
-,4.00,456.00,2
-,5.00,456.00,2
-,Total,456.00,6
-8.00,3.00,456.00,2
-,4.00,456.00,2
-,5.00,456.00,2
-,Total,456.00,6
-9.00,3.00,456.00,2
-,4.00,456.00,2
-,5.00,456.00,2
-,Total,456.00,6
-Total,3.00,456.00,8
-,4.00,456.00,8
-,5.00,456.00,8
-,Total,456.00,24
-])
-
-AT_CLEANUP
-
-
-
-dnl An example with more than one dependent variable.
-dnl This case uses a somewhat different table layout.
-AT_SETUP([MEANS multi variable])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-multi-variable.sps], [dnl
-data list notable list /b c x y.
-begin data.
-5 1 123 55
-5 1 123 55
-5 1 123 55
-5 1 123 55
-4 1 456 44
-4 1 456 44
-4 1 456 44
-4 1 456 44
-3 1 789 55
-3 1 789 55
-3 1 789 55
-3 1 789 55
-5 0 246 99
-5 0 246 99
-5 0 246 99
-5 0 246 .
-4 0 987 99
-4 0 987 99
-4 0 987 99
-4 0 987 99
-3 0 654 11
-3 0 654 11
-3 0 654 11
-3 0 654 11
-end data.
-
-means
- table = x y by b by c
- .
-])
-
-AT_CHECK([pspp -O format=csv means-multi-variable.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-x * b * c,24,100.0%,0,.0%,24,100.0%
-y * b * c,23,95.8%,1,4.2%,24,100.0%
-
-Table: x * y * b * c
-b,c,,x,y
-3.00,.00,Mean,654.00,11.00
-,,N,4,4
-,,Std. Deviation,.00,.00
-,1.00,Mean,789.00,55.00
-,,N,4,4
-,,Std. Deviation,.00,.00
-,Total,Mean,721.50,33.00
-,,N,8,8
-,,Std. Deviation,72.16,23.52
-4.00,.00,Mean,987.00,99.00
-,,N,4,4
-,,Std. Deviation,.00,.00
-,1.00,Mean,456.00,44.00
-,,N,4,4
-,,Std. Deviation,.00,.00
-,Total,Mean,721.50,71.50
-,,N,8,8
-,,Std. Deviation,283.83,29.40
-5.00,.00,Mean,246.00,99.00
-,,N,4,3
-,,Std. Deviation,.00,.00
-,1.00,Mean,123.00,55.00
-,,N,4,4
-,,Std. Deviation,.00,.00
-,Total,Mean,184.50,73.86
-,,N,8,7
-,,Std. Deviation,65.75,23.52
-Total,.00,Mean,629.00,67.00
-,,N,12,11
-,,Std. Deviation,316.50,44.40
-,1.00,Mean,456.00,51.33
-,,N,12,12
-,,Std. Deviation,283.98,5.42
-,Total,Mean,542.50,58.83
-,,N,24,23
-,,Std. Deviation,307.06,31.22
-])
-
-
-AT_CLEANUP
-
-
-dnl This example is based upon one kindly provided by Dana Williams
-dnl It exercises the most complex case where there are multiple
-dnl dependent variables AND multiple control variables in each layer.
-AT_SETUP([MEANS multi combination])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-multi-combination.sps], [dnl
-data list notable list /one (F22.5) two (F22.5) three four five six.
-begin data
-1 1 1 1 1 1
-2 1 1 1 1 1
-1 2 1 1 1 1
-2 2 1 1 1 1
-1 1 2 1 1 1
-2 1 2 1 1 1
-1 2 2 1 1 1
-2 2 2 1 1 1
-1 1 1 2 1 1
-2 1 1 2 1 1
-1 2 1 2 1 1
-2 2 1 2 1 1
-1 1 2 2 1 1
-2 1 2 2 1 1
-1 2 2 2 1 1
-2 2 2 2 1 1
-1 1 1 1 2 1
-2 1 1 1 2 1
-1 2 1 1 2 1
-2 2 1 1 2 1
-1 1 2 1 2 1
-2 1 2 1 2 1
-1 2 2 1 2 1
-2 2 2 1 2 1
-1 1 1 2 2 1
-2 1 1 2 2 1
-1 2 1 2 2 1
-2 2 1 2 2 1
-1 1 2 2 2 1
-2 1 2 2 2 1
-1 2 2 2 2 1
-2 2 2 2 2 1
-1 1 1 1 1 2
-2 1 1 1 1 2
-1 2 1 1 1 2
-2 2 1 1 1 2
-1 1 2 1 1 2
-2 1 2 1 1 2
-1 2 2 1 1 2
-2 2 2 1 1 2
-1 1 1 2 1 2
-2 1 1 2 1 2
-1 2 1 2 1 2
-2 2 1 2 1 2
-1 1 2 2 1 2
-2 1 2 2 1 2
-1 2 2 2 1 2
-2 2 2 2 1 2
-1 1 1 1 2 2
-2 1 1 1 2 2
-1 2 1 1 2 2
-2 2 1 1 2 2
-1 1 2 1 2 2
-2 1 2 1 2 2
-1 2 2 1 2 2
-2 2 2 1 2 2
-1 1 1 2 2 2
-2 1 1 2 2 2
-1 2 1 2 2 2
-2 2 1 2 2 2
-1 1 2 2 2 2
-2 1 2 2 2 2
-1 2 2 2 2 2
-2 2 2 2 2 2
-end data.
-
-recode six (2 = 62) (1 = 61).
-recode five (2 = 52) (1 = 51).
-recode four (2 = 42) (1 = 41).
-recode three (2 = 32) (1 = 31).
-
-means tables = one two BY three four BY five six.
-])
-
-AT_CHECK([pspp -O format=csv means-multi-combination.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-one * three * five,64,100.0%,0,.0%,64,100.0%
-two * three * five,64,100.0%,0,.0%,64,100.0%
-one * three * six,64,100.0%,0,.0%,64,100.0%
-two * three * six,64,100.0%,0,.0%,64,100.0%
-one * four * five,64,100.0%,0,.0%,64,100.0%
-two * four * five,64,100.0%,0,.0%,64,100.0%
-one * four * six,64,100.0%,0,.0%,64,100.0%
-two * four * six,64,100.0%,0,.0%,64,100.0%
-
-Table: one * two * three * five
-three,five,,one,two
-31.00,51.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,52.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-32.00,51.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,52.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-Total,51.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,52.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,Total,Mean,1.50000,1.50000
-,,N,64,64
-,,Std. Deviation,.50395,.50395
-
-Table: one * two * three * six
-three,six,,one,two
-31.00,61.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,62.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-32.00,61.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,62.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-Total,61.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,62.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,Total,Mean,1.50000,1.50000
-,,N,64,64
-,,Std. Deviation,.50395,.50395
-
-Table: one * two * four * five
-four,five,,one,two
-41.00,51.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,52.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-42.00,51.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,52.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-Total,51.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,52.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,Total,Mean,1.50000,1.50000
-,,N,64,64
-,,Std. Deviation,.50395,.50395
-
-Table: one * two * four * six
-four,six,,one,two
-41.00,61.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,62.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-42.00,61.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,62.00,Mean,1.50000,1.50000
-,,N,16,16
-,,Std. Deviation,.51640,.51640
-,Total,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-Total,61.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,62.00,Mean,1.50000,1.50000
-,,N,32,32
-,,Std. Deviation,.50800,.50800
-,Total,Mean,1.50000,1.50000
-,,N,64,64
-,,Std. Deviation,.50395,.50395
-])
-
-AT_CLEANUP
-
-
-dnl This example was observed to cause a crash in the
-dnl destructor. Found by zzuf.
-AT_SETUP([MEANS clean up])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-bad.sps], [dnl
-data list notable list /one two three four five six.
-begin data
-1 1 1 1 1 1
-2 1 1 1 1 !
-1 2 2 2 2 2
-2 2 2 2 2 2
-end data.
-
-means tables = one two BY thsee four BY five six.
-])
-
-AT_CHECK([pspp -O format=csv means-bad.sps], [1], [ignore])
-
-AT_CLEANUP
-
-
-dnl Another example which caused a crash.
-dnl Found by zzuf.
-AT_SETUP([MEANS control all missing])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-bad.sps], [dnl
-data list notable list /a * b * y * uu *.
-begin data.
-6 3 . 5
-6 3 . 5
-6 4 . 5
-end data.
-
-means table = b by a by y by uu
- .
-])
-
-AT_CHECK([pspp -O format=csv means-bad.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-b * a * y * uu,0,.0%,3,100.0%,3,100.0%
-
-"warning: The table ""a * y * uu"" has no non-empty control variables. No result for this table will be displayed."
-])
-
-AT_CLEANUP
-
-
-dnl Do some tests on the MISSING keyword.
-AT_SETUP([MEANS missing classes])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-missing-classes.sps], [dnl
-data list notable list /hand * score *.
-begin data.
-1 17
-1 17
-1 17
-1 16
-1 17
-1 16
-1 16
-1 .
-1 99
-2 21
-2 22
-2 20
-2 20
-2 20
-2 20
-2 20
-2 20
-2 20
-2 20
-9 55
-end data.
-
-missing values score (99).
-missing values hand (9).
-
-means tables=score by hand
- /cells = count max
- /missing = dependent
- .
-
-means tables=score by hand
- /cells = count max
- /missing = include
- .
-
-means tables=score by hand
- /cells = count max
- .
-
-])
-
-AT_CHECK([pspp -O format=csv means-missing-classes.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * hand,18,90.0%,2,10.0%,20,100.0%
-
-Table: Report
-hand,N,Maximum
-1.00,7,17.00
-2.00,10,22.00
-9.00,1,55.00
-Total,18,55.00
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * hand,19,95.0%,1,5.0%,20,100.0%
-
-Table: Report
-hand,N,Maximum
-1.00,8,99.00
-2.00,10,22.00
-9.00,1,55.00
-Total,19,99.00
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-score * hand,17,85.0%,3,15.0%,20,100.0%
-
-Table: Report
-hand,N,Maximum
-1.00,7,17.00
-2.00,10,22.00
-Total,17,22.00
-])
-
-AT_CLEANUP
-
-
-dnl Make sure that behaviour with SPLIT is correct.
-AT_SETUP([MEANS split])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-split.sps], [dnl
-data list notable list /b g *.
-begin data
-2 0
-2 0
-4 0
-4 0
-11 1
-11 1
-end data.
-
-split file by g.
-
-means b /cells = count mean.
-])
-
-AT_CHECK([pspp -O format=csv means-split.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-b,4,100.0%,0,.0%,4,100.0%
-
-Table: Report
-N,Mean
-4,3.00
-
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-b,2,100.0%,0,.0%,2,100.0%
-
-Table: Report
-N,Mean
-2,11.00
-])
-
-AT_CLEANUP
-
-
-dnl Test the output with unusual dependent variable formats
-AT_SETUP([MEANS formats])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([means-formats.sps], [dnl
-data list notable list /hours (TIME11.0) rate (DOLLAR8.2).
-begin data
-12:00 4.09
-14:01 5.23
-end data.
-
-means hours rate
- /cells = mean count max range.
-])
-
-AT_CHECK([pspp -O format=csv means-formats.sps], [0], [dnl
-Table: Case Processing Summary
-,Cases,,,,,
-,Included,,Excluded,,Total,
-,N,Percent,N,Percent,N,Percent
-hours,2,100.0%,0,.0%,2,100.0%
-rate,2,100.0%,0,.0%,2,100.0%
-
-Table: hours * rate
-,hours,rate
-Mean,13:00:30,$4.66
-N,2,2
-Maximum,14:01:00,$5.23
-Range,02:01:00,$1.14
-])
-
-AT_CLEANUP
-
-AT_SETUP([MEANS syntax errors])
-AT_DATA([means.sps], [dnl
-DATA LIST LIST NOTABLE/x y z.
-MEANS TABLES **.
-MEANS x BY **.
-MEANS x/MISSING=**.
-MEANS x/CELLS=**.
-MEANS x/ **.
-])
-AT_CHECK([pspp -O format=csv means.sps], [1], [dnl
-"means.sps:2.14-2.15: error: MEANS: Syntax error expecting `='.
- 2 | MEANS TABLES **.
- | ^~"
-
-"means.sps:3.12-3.13: error: MEANS: Syntax error expecting variable name.
- 3 | MEANS x BY **.
- | ^~"
-
-"means.sps:4.17-4.18: error: MEANS: Syntax error expecting INCLUDE or DEPENDENT.
- 4 | MEANS x/MISSING=**.
- | ^~"
-
-"means.sps:5.15-5.16: error: MEANS: Syntax error expecting one of the following: MEAN, COUNT, STDDEV, SEMEAN, SUM, MIN, MAX, RANGE, VARIANCE, KURT, SEKURT, SKEW, SESKEW, FIRST, LAST, HARMONIC, GEOMETRIC.
- 5 | MEANS x/CELLS=**.
- | ^~"
-
-"means.sps:6.10-6.11: error: MEANS: Syntax error expecting MISSING or CELLS.
- 6 | MEANS x/ **.
- | ^~"
-])
-AT_CLEANUP
\ No newline at end of file
projects / pspp / blobdiff