+++ /dev/null
-dnl PSPP - a program for statistical analysis.
-dnl Copyright (C) 2017, 2020 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([ONEWAY procedure])
-
-AT_SETUP([ONEWAY basic operation])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([oneway.sps],
- [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
-BEGIN DATA
-7 3
-4 3
-3 1
-2 1
-1 1
-4 2
-2 2
-3 2
-5 3
-1 1
-4 1
-5 2
-2 2
-3 3
-6 3
-END DATA
-
-VARIABLE LABELS brand 'Manufacturer'.
-VARIABLE LABELS quality 'Breaking Strain'.
-
-VALUE LABELS /brand 1 'Aspeger' 2 'Bloggs' 3 'Charlies'.
-
-ONEWAY
- quality BY brand
- /STATISTICS descriptives homogeneity
- /CONTRAST = -2 1 1
- /CONTRAST = 0 -1 1
- .
-])
-
-AT_CHECK([pspp -o pspp.csv -o pspp.txt oneway.sps])
-AT_CHECK([cat pspp.csv], [0], [dnl
-Table: Descriptives
-,Manufacturer,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
-,,,,,,Lower Bound,Upper Bound,,
-Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00
-,Bloggs,5,3.20,1.30,.58,1.58,4.82,2.00,5.00
-,Charlies,5,5.00,1.58,.71,3.04,6.96,3.00,7.00
-,Total,15,3.47,1.77,.46,2.49,4.45,1.00,7.00
-
-Table: Test of Homogeneity of Variances
-,Levene Statistic,df1,df2,Sig.
-Breaking Strain,.09,2,12,.913
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-Breaking Strain,Between Groups,20.13,2,10.07,5.12,.025
-,Within Groups,23.60,12,1.97,,
-,Total,43.73,14,,,
-
-Table: Contrast Coefficients
-Contrast,Manufacturer,,
-,Aspeger,Bloggs,Charlies
-1,-2,1,1
-2,0,-1,1
-
-Table: Contrast Tests
-,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
-Breaking Strain,Assume equal variances,1,3.80,1.54,2.47,12.00,.029
-,,2,1.80,.89,2.03,12.00,.065
-,Does not assume equal variances,1,3.80,1.48,2.56,8.74,.031
-,,2,1.80,.92,1.96,7.72,.086
-])
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY with splits])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([oneway-splits.sps],
-[DATA LIST NOTABLE LIST /QUALITY * BRAND * S *.
-BEGIN DATA
-3 1 1
-2 1 1
-1 1 1
-1 1 1
-4 1 1
-5 2 1
-2 2 1
-4 2 2
-2 2 2
-3 2 2
-7 3 2
-4 3 2
-5 3 2
-3 3 2
-6 3 2
-END DATA
-
-VARIABLE LABELS brand 'Manufacturer'.
-VARIABLE LABELS quality 'Breaking Strain'.
-
-VALUE LABELS /brand 1 'Aspeger' 2 'Bloggs' 3 'Charlies'.
-
-SPLIT FILE by s.
-
-ONEWAY
- quality BY brand
- /STATISTICS descriptives homogeneity
- /CONTRAST = -2 2
- /CONTRAST = -1 1
- .
-])
-
-AT_CHECK([pspp -o pspp.csv -o pspp.txt oneway-splits.sps])
-AT_CHECK([cat pspp.csv], [0], [dnl
-Table: Split Values
-Variable,Value
-S,1.00
-
-Table: Descriptives
-,Manufacturer,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
-,,,,,,Lower Bound,Upper Bound,,
-Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00
-,Bloggs,2,3.50,2.12,1.50,-15.56,22.56,2.00,5.00
-,Total,7,2.57,1.51,.57,1.17,3.97,1.00,5.00
-
-Table: Test of Homogeneity of Variances
-,Levene Statistic,df1,df2,Sig.
-Breaking Strain,1.09,1,5,.345
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-Breaking Strain,Between Groups,2.41,1,2.41,1.07,.349
-,Within Groups,11.30,5,2.26,,
-,Total,13.71,6,,,
-
-Table: Contrast Coefficients
-Contrast,Manufacturer,
-,Aspeger,Bloggs
-1,-2,2
-2,-1,1
-
-Table: Contrast Tests
-,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
-Breaking Strain,Assume equal variances,1,2.60,2.52,1.03,5.00,.349
-,,2,1.30,1.26,1.03,5.00,.349
-,Does not assume equal variances,1,2.60,3.22,.81,1.32,.539
-,,2,1.30,1.61,.81,1.32,.539
-
-Table: Split Values
-Variable,Value
-S,2.00
-
-Table: Descriptives
-,Manufacturer,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
-,,,,,,Lower Bound,Upper Bound,,
-Breaking Strain,Bloggs,3,3.00,1.00,.58,.52,5.48,2.00,4.00
-,Charlies,5,5.00,1.58,.71,3.04,6.96,3.00,7.00
-,Total,8,4.25,1.67,.59,2.85,5.65,2.00,7.00
-
-Table: Test of Homogeneity of Variances
-,Levene Statistic,df1,df2,Sig.
-Breaking Strain,.92,1,6,.374
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-Breaking Strain,Between Groups,7.50,1,7.50,3.75,.101
-,Within Groups,12.00,6,2.00,,
-,Total,19.50,7,,,
-
-Table: Contrast Coefficients
-Contrast,Manufacturer,
-,Bloggs,Charlies
-1,-2,2
-2,-1,1
-
-Table: Contrast Tests
-,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
-Breaking Strain,Assume equal variances,1,4.00,2.07,1.94,6.00,.101
-,,2,2.00,1.03,1.94,6.00,.101
-,Does not assume equal variances,1,4.00,1.83,2.19,5.88,.072
-,,2,2.00,.91,2.19,5.88,.072
-])
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY with missing values])
-AT_KEYWORDS([categorical categoricals])
-dnl Check that missing are treated properly
-AT_DATA([oneway-missing1.sps],
-[DATA LIST NOTABLE LIST /v1 * v2 * dep * vn *.
-BEGIN DATA
-. . 1 4
-3 3 1 2
-2 2 1 2
-1 1 1 2
-1 1 1 2
-4 4 1 2
-5 5 2 2
-2 2 2 2
-4 4 2 2
-2 2 2 2
-3 3 2 2
-7 7 3 2
-4 4 3 2
-5 5 3 2
-3 3 3 2
-6 6 3 2
-END DATA
-
-ONEWAY
- v1 v2 BY dep
- /STATISTICS descriptives homogeneity
- /MISSING ANALYSIS
- .
-])
-
-AT_DATA([oneway-missing2.sps],
-[DATA LIST NOTABLE LIST /v1 * v2 * dep * vn * .
-BEGIN DATA
-4 . 1 2
-3 3 1 2
-2 2 1 2
-1 1 1 2
-1 1 1 2
-4 4 1 2
-5 5 2 2
-2 2 2 2
-4 4 2 2
-2 2 2 2
-3 3 2 2
-7 7 3 2
-4 4 3 2
-5 5 3 2
-3 3 3 2
-6 6 3 2
-END DATA
-
-ONEWAY
- v1 v2 BY dep
- /STATISTICS descriptives homogeneity
- /MISSING LISTWISE
- .
-])
-
-
-
-AT_CHECK([pspp -O format=csv oneway-missing1.sps > first.out], [0])
-
-AT_CHECK([pspp -O format=csv oneway-missing2.sps > second.out], [0])
-
-AT_CHECK([diff first.out second.out], [0], [])
-
-dnl Now a test with missing values in the independent variable
-AT_DATA([oneway-missing3.sps],
-[DATA LIST NOTABLE LIST /v1 * v2 * dep * vn * .
-BEGIN DATA
-4 2 . 2
-3 3 1 2
-2 2 1 2
-1 1 1 2
-1 1 1 2
-4 4 1 2
-5 5 2 2
-2 2 2 2
-4 4 2 2
-2 2 2 2
-3 3 2 2
-7 7 3 2
-4 4 3 2
-5 5 3 4
-3 3 3 2
-6 6 3 2
-END DATA
-
-ONEWAY
- v1 v2 BY dep
- /STATISTICS descriptives homogeneity
- /MISSING ANALYSIS
- .
-])
-
-AT_CHECK([pspp -O format=csv oneway-missing3.sps > third.out], [0])
-
-AT_CHECK([diff first.out third.out], [0], [])
-
-AT_CLEANUP
-
-
-
-
-
-AT_SETUP([ONEWAY descriptives subcommand])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([oneway-descriptives.sps],
- [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
-BEGIN DATA
-13 11
-12 11
-11 11
-11 11
-14 11
-15 25
-12 25
-14 25
-12 25
-13 25
-17 301
-14 301
-15 301
-13 301
-16 301
-END DATA
-
-
-ONEWAY
- quality BY brand
- /STATISTICS descriptives
- .
-])
-
-AT_CHECK([pspp -O format=csv oneway-descriptives.sps], [0],
-[Table: Descriptives
-,BRAND,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
-,,,,,,Lower Bound,Upper Bound,,
-QUALITY,11.00,5,12.20,1.30,.58,10.58,13.82,11.00,14.00
-,25.00,5,13.20,1.30,.58,11.58,14.82,12.00,15.00
-,301.00,5,15.00,1.58,.71,13.04,16.96,13.00,17.00
-,Total,15,13.47,1.77,.46,12.49,14.45,11.00,17.00
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-QUALITY,Between Groups,20.13,2,10.07,5.12,.025
-,Within Groups,23.60,12,1.97,,
-,Total,43.73,14,,,
-])
-
-AT_CLEANUP
-
-
-
-AT_SETUP([ONEWAY homogeneity subcommand])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([oneway-homogeneity.sps],
- [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
-BEGIN DATA
-13 11
-12 11
-11 11
-11 11
-14 11
-15 25
-12 25
-14 25
-12 25
-13 25
-17 301
-14 301
-15 301
-13 301
-16 301
-END DATA
-
-
-ONEWAY
- quality BY brand
- /STATISTICS homogeneity
- .
-])
-
-AT_CHECK([pspp -O format=csv oneway-homogeneity.sps], [0],
-[Table: Test of Homogeneity of Variances
-,Levene Statistic,df1,df2,Sig.
-QUALITY,.09,2,12,.913
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-QUALITY,Between Groups,20.13,2,10.07,5.12,.025
-,Within Groups,23.60,12,1.97,,
-,Total,43.73,14,,,
-])
-
-AT_CLEANUP
-
-
-
-AT_SETUP([ONEWAY multiple variables])
-AT_KEYWORDS([categorical categoricals])
-dnl check that everything works ok when several different dependent variables are specified.
-dnl This of course does not mean that we're doing a multivariate analysis. It's just like
-dnl running several tests at once.
-AT_DATA([multivar.sps],
-[DATA LIST notable LIST /x * y * z * g *.
-begin data.
-1 1 0 10
-1 1 9 10
-9 1 2 10
-1 1 3 20
-1 1 8 20
-1 1 1 20
-1 1 2 20
-0 1 3 20
-1 1 4 30
-0 1 5 30
-1 1 6 30
-0 1 7 30
-1 2 8 30
-2 2 9 30
-1 2 1 30
-1 2 0 30
-1 2 2 40
-8 2 3 40
-1 2 4 40
-1 2 9 40
-9 2 8 40
-7 3 7 40
-2 3 6 40
-3 3 5 40
-end data.
-
-ONEWAY x y z by g
- /STATISTICS = DESCRIPTIVES HOMOGENEITY
- /CONTRAST 3 2 0 -5
- /CONTRAST 2 -9 7 0
- .
-])
-
-AT_CHECK([pspp -o pspp.csv -o pspp.txt multivar.sps])
-
-dnl Some machines return 3.88 instead of 3.87 below (see bug #31611).
-AT_CHECK([sed -e 's/^,Within Groups,3.88/,Within Groups,3.87/' pspp.csv], [0],
- [Table: Descriptives
-,g,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
-,,,,,,Lower Bound,Upper Bound,,
-x,10.00,3,3.67,4.62,2.67,-7.81,15.14,1.00,9.00
-,20.00,5,.80,.45,.20,.24,1.36,.00,1.00
-,30.00,8,.88,.64,.23,.34,1.41,.00,2.00
-,40.00,8,4.00,3.42,1.21,1.14,6.86,1.00,9.00
-,Total,24,2.25,2.83,.58,1.05,3.45,.00,9.00
-y,10.00,3,1.00,.00,.00,1.00,1.00,1.00,1.00
-,20.00,5,1.00,.00,.00,1.00,1.00,1.00,1.00
-,30.00,8,1.50,.53,.19,1.05,1.95,1.00,2.00
-,40.00,8,2.38,.52,.18,1.94,2.81,2.00,3.00
-,Total,24,1.63,.71,.15,1.32,1.93,1.00,3.00
-z,10.00,3,3.67,4.73,2.73,-8.07,15.41,.00,9.00
-,20.00,5,3.40,2.70,1.21,.05,6.75,1.00,8.00
-,30.00,8,5.00,3.21,1.13,2.32,7.68,.00,9.00
-,40.00,8,5.50,2.45,.87,3.45,7.55,2.00,9.00
-,Total,24,4.67,2.99,.61,3.40,5.93,.00,9.00
-
-Table: Test of Homogeneity of Variances
-,Levene Statistic,df1,df2,Sig.
-x,18.76,3,20,.000
-y,71.41,3,20,.000
-z,.89,3,20,.463
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-x,Between Groups,56.16,3,18.72,2.92,.059
-,Within Groups,128.34,20,6.42,,
-,Total,184.50,23,,,
-y,Between Groups,7.75,3,2.58,13.33,.000
-,Within Groups,3.87,20,.19,,
-,Total,11.63,23,,,
-z,Between Groups,17.47,3,5.82,.62,.610
-,Within Groups,187.87,20,9.39,,
-,Total,205.33,23,,,
-
-Table: Contrast Coefficients
-Contrast,g,,,
-,10.00,20.00,30.00,40.00
-1,3,2,0,-5
-2,2,-9,7,0
-
-Table: Contrast Tests
-,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
-x,Assume equal variances,1,-7.40,6.67,-1.11,20.00,.280
-,,2,6.26,12.32,.51,20.00,.617
-,Does not assume equal variances,1,-7.40,10.04,-.74,4.53,.497
-,,2,6.26,5.85,1.07,2.87,.366
-y,Assume equal variances,1,-6.88,1.16,-5.94,20.00,.000
-,,2,3.50,2.14,1.63,20.00,.118
-,Does not assume equal variances,1,-6.88,.91,-7.51,7.00,.000
-,,2,3.50,1.32,2.65,7.00,.033
-z,Assume equal variances,1,-9.70,8.07,-1.20,20.00,.243
-,,2,11.73,14.91,.79,20.00,.440
-,Does not assume equal variances,1,-9.70,9.57,-1.01,3.64,.373
-,,2,11.73,14.53,.81,9.88,.438
-])
-
-AT_CLEANUP
-
-
-
-dnl Tests that everything treats weights properly
-AT_SETUP([ONEWAY vs. weights])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([oneway-unweighted.sps],
-[DATA LIST NOTABLE LIST /QUALITY * BRAND * W *.
-BEGIN DATA
-3 1 1
-2 1 1
-1 1 1
-1 1 1
-4 1 1
-5 2 1
-2 2 1
-4 2 1
-4 2 1
-4 2 1
-2 2 1
-2 2 1
-3 2 1
-7 3 1
-4 3 1
-5 3 1
-5 3 1
-3 3 1
-6 3 1
-END DATA.
-
-WEIGHT BY W.
-
-ONEWAY
- quality BY brand
- /STATISTICS descriptives homogeneity
- .
-])
-
-AT_CHECK([pspp -o pspp-unweighted.csv oneway-unweighted.sps], [0], [ignore], [ignore])
-
-AT_DATA([oneway-weighted.sps],
-[DATA LIST NOTABLE LIST /QUALITY * BRAND * W *.
-BEGIN DATA
-3 1 1
-2 1 1
-1 1 2
-4 1 1
-5 2 1
-2 2 1
-4 2 3
-2 2 2
-3 2 1
-7 3 1
-4 3 1
-5 3 2
-3 3 1
-6 3 1
-END DATA.
-
-WEIGHT BY W.
-
-ONEWAY
- quality BY brand
- /STATISTICS descriptives homogeneity
- .
-])
-
-AT_CHECK([pspp -o pspp-weighted.csv oneway-weighted.sps], [0], [ignore], [ignore])
-
-AT_CHECK([diff pspp-weighted.csv pspp-unweighted.csv], [0])
-
-AT_CLEANUP
-
-
-
-AT_SETUP([ONEWAY posthoc LSD and BONFERRONI])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([oneway-pig.sps],[dnl
-SET FORMAT F12.3.
-data list notable list /pigmentation * family *.
-begin data.
-36 1
-39 1
-43 1
-38 1
-37 1
-46 2
-47 2
-47 2
-47 2
-43 2
-40 3
-50 3
-44 3
-48 3
-50 3
-45 4
-53 4
-56 4
-52 4
-56 4
-end data.
-
-
-oneway pigmentation by family
- /statistics = descriptives
- /posthoc = lsd bonferroni alpha (0.05)
- .
-])
-
-AT_CHECK([pspp -o pspp.csv -o pspp.txt oneway-pig.sps])
-AT_CHECK([cat pspp.csv], [0], [dnl
-Table: Descriptives
-,family,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
-,,,,,,Lower Bound,Upper Bound,,
-pigmentation,1.000,5,38.600,2.702,1.208,35.245,41.955,36.000,43.000
-,2.000,5,46.000,1.732,.775,43.849,48.151,43.000,47.000
-,3.000,5,46.400,4.336,1.939,41.016,51.784,40.000,50.000
-,4.000,5,52.400,4.506,2.015,46.806,57.994,45.000,56.000
-,Total,20,45.850,5.967,1.334,43.057,48.643,36.000,56.000
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-pigmentation,Between Groups,478.950,3,159.650,12.927,.000
-,Within Groups,197.600,16,12.350,,
-,Total,676.550,19,,,
-
-Table: Multiple Comparisons (pigmentation)
-,(J) Family,(J) Family,Mean Difference (I - J),Std. Error,Sig.,95% Confidence Interval,
-,,,,,,Lower Bound,Upper Bound
-LSD,1.000,2.000,-7.400,2.223,.004,-12.112,-2.688
-,,3.000,-7.800,2.223,.003,-12.512,-3.088
-,,4.000,-13.800,2.223,.000,-18.512,-9.088
-,2.000,1.000,7.400,2.223,.004,2.688,12.112
-,,3.000,-.400,2.223,.859,-5.112,4.312
-,,4.000,-6.400,2.223,.011,-11.112,-1.688
-,3.000,1.000,7.800,2.223,.003,3.088,12.512
-,,2.000,.400,2.223,.859,-4.312,5.112
-,,4.000,-6.000,2.223,.016,-10.712,-1.288
-,4.000,1.000,13.800,2.223,.000,9.088,18.512
-,,2.000,6.400,2.223,.011,1.688,11.112
-,,3.000,6.000,2.223,.016,1.288,10.712
-Bonferroni,1.000,2.000,-7.400,2.223,.025,-14.086,-.714
-,,3.000,-7.800,2.223,.017,-14.486,-1.114
-,,4.000,-13.800,2.223,.000,-20.486,-7.114
-,2.000,1.000,7.400,2.223,.025,.714,14.086
-,,3.000,-.400,2.223,1.000,-7.086,6.286
-,,4.000,-6.400,2.223,.065,-13.086,.286
-,3.000,1.000,7.800,2.223,.017,1.114,14.486
-,,2.000,.400,2.223,1.000,-6.286,7.086
-,,4.000,-6.000,2.223,.095,-12.686,.686
-,4.000,1.000,13.800,2.223,.000,7.114,20.486
-,,2.000,6.400,2.223,.065,-.286,13.086
-,,3.000,6.000,2.223,.095,-.686,12.686
-])
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY posthoc Tukey HSD and Games-Howell])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([oneway-tukey.sps],[dnl
-set format = f11.3.
-data list notable list /libido * dose *.
-begin data.
-3 0
-2 0
-1 0
-1 0
-4 0
-5 1
-2 1
-4 1
-2 1
-3 1
-7 2
-4 2
-5 2
-3 2
-6 2
-end data.
-
-variable label dose 'Dose of Viagra'.
-
-add value labels dose 0 'Placebo' 1 '1 Dose' 2 '2 Doses'.
-
-oneway libido by dose
- /posthoc tukey gh.
-])
-
-AT_CHECK([pspp -o pspp.csv -o pspp.txt oneway-tukey.sps])
-AT_CHECK([cat pspp.csv], [0], [dnl
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-libido,Between Groups,20.133,2,10.067,5.119,.025
-,Within Groups,23.600,12,1.967,,
-,Total,43.733,14,,,
-
-Table: Multiple Comparisons (libido)
-,(J) Family,(J) Family,Mean Difference (I - J),Std. Error,Sig.,95% Confidence Interval,
-,,,,,,Lower Bound,Upper Bound
-Tukey HSD,Placebo,1 Dose,-1.000,.887,.516,-3.366,1.366
-,,2 Doses,-2.800,.887,.021,-5.166,-.434
-,1 Dose,Placebo,1.000,.887,.516,-1.366,3.366
-,,2 Doses,-1.800,.887,.147,-4.166,.566
-,2 Doses,Placebo,2.800,.887,.021,.434,5.166
-,,1 Dose,1.800,.887,.147,-.566,4.166
-Games-Howell,Placebo,1 Dose,-1.000,.887,.479,-3.356,1.356
-,,2 Doses,-2.800,.887,.039,-5.439,-.161
-,1 Dose,Placebo,1.000,.887,.479,-1.356,3.356
-,,2 Doses,-1.800,.887,.185,-4.439,.839
-,2 Doses,Placebo,2.800,.887,.039,.161,5.439
-,,1 Dose,1.800,.887,.185,-.839,4.439
-])
-
-AT_CLEANUP
-
-AT_SETUP([ONEWAY posthoc Sidak])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([oneway-sidak.sps],[dnl
-SET FORMAT F20.4.
-
-DATA LIST notable LIST /program score.
-BEGIN DATA.
-1 9
-1 12
-1 14
-1 11
-1 13
-2 10
-2 6
-2 9
-2 9
-2 10
-3 12
-3 14
-3 11
-3 13
-3 11
-4 9
-4 8
-4 11
-4 7
-4 8
-END DATA.
-
-ONEWAY
- score BY program
- /MISSING ANALYSIS
- /POSTHOC = SIDAK.
-])
-
-AT_CHECK([pspp -O format=csv oneway-sidak.sps], [0],
-[Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-score,Between Groups,54.9500,3,18.3167,7.0449,.003
-,Within Groups,41.6000,16,2.6000,,
-,Total,96.5500,19,,,
-
-Table: Multiple Comparisons (score)
-,(J) Family,(J) Family,Mean Difference (I - J),Std. Error,Sig.,95% Confidence Interval,
-,,,,,,Lower Bound,Upper Bound
-Šidák,1.0000,2.0000,3.0000,1.0198,.056,-.0575,6.0575
-,,3.0000,-.4000,1.0198,.999,-3.4575,2.6575
-,,4.0000,3.2000,1.0198,.038,.1425,6.2575
-,2.0000,1.0000,-3.0000,1.0198,.056,-6.0575,.0575
-,,3.0000,-3.4000,1.0198,.025,-6.4575,-.3425
-,,4.0000,.2000,1.0198,1.000,-2.8575,3.2575
-,3.0000,1.0000,.4000,1.0198,.999,-2.6575,3.4575
-,,2.0000,3.4000,1.0198,.025,.3425,6.4575
-,,4.0000,3.6000,1.0198,.017,.5425,6.6575
-,4.0000,1.0000,-3.2000,1.0198,.038,-6.2575,-.1425
-,,2.0000,-.2000,1.0198,1.000,-3.2575,2.8575
-,,3.0000,-3.6000,1.0198,.017,-6.6575,-.5425
-])
-
-AT_CLEANUP
-
-AT_SETUP([ONEWAY posthoc Scheffe])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([oneway-scheffe.sps],[dnl
-set format = f11.3.
-data list notable list /usage * group *.
-begin data.
-21.00 1
-19.00 1
-18.00 1
-25.00 1
-14.00 1
-13.00 1
-24.00 1
-19.00 1
-20.00 1
-21.00 1
-15.00 2
-10.00 2
-13.00 2
-16.00 2
-14.00 2
-24.00 2
-16.00 2
-14.00 2
-18.00 2
-16.00 2
-10.00 3
- 7.00 3
-13.00 3
-20.00 3
- .00 3
- 8.00 3
- 6.00 3
- 1.00 3
-12.00 3
-14.00 3
-18.00 4
-15.00 4
- 3.00 4
-27.00 4
- 6.00 4
-14.00 4
-13.00 4
-11.00 4
- 9.00 4
-18.00 4
-end data.
-
-variable label usage 'Days of Use'.
-
-add value labels group 0 'none' 1 'one' 2 'two' 3 'three' 4 'four'.
-
-oneway usage by group
- /posthoc scheffe.
-])
-
-AT_CHECK([pspp -O format=csv oneway-scheffe.sps], [0],
-[Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-Days of Use,Between Groups,555.275,3,185.092,6.663,.001
-,Within Groups,1000.100,36,27.781,,
-,Total,1555.375,39,,,
-
-Table: Multiple Comparisons (Days of Use)
-,(J) Family,(J) Family,Mean Difference (I - J),Std. Error,Sig.,95% Confidence Interval,
-,,,,,,Lower Bound,Upper Bound
-Scheffé,one,two,3.800,2.357,.467,-3.112,10.712
-,,three,10.300,2.357,.001,3.388,17.212
-,,four,6.000,2.357,.110,-.912,12.912
-,two,one,-3.800,2.357,.467,-10.712,3.112
-,,three,6.500,2.357,.072,-.412,13.412
-,,four,2.200,2.357,.832,-4.712,9.112
-,three,one,-10.300,2.357,.001,-17.212,-3.388
-,,two,-6.500,2.357,.072,-13.412,.412
-,,four,-4.300,2.357,.358,-11.212,2.612
-,four,one,-6.000,2.357,.110,-12.912,.912
-,,two,-2.200,2.357,.832,-9.112,4.712
-,,three,4.300,2.357,.358,-2.612,11.212
-])
-
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY bad contrast count])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([oneway-bad-contrast.sps],[dnl
-DATA LIST NOTABLE LIST /height * weight * temperature * sex *.
-BEGIN DATA.
-1884 88.6 39.97 0
-1801 90.9 39.03 0
-1801 91.7 38.98 0
-1607 56.3 36.26 1
-1608 46.3 46.26 1
-1607 55.9 37.84 1
-1604 56.6 36.81 1
-1606 56.1 34.56 1
-END DATA.
-
-ONEWAY /VARIABLES= height weight temperature BY sex
- /CONTRAST = -1 1
- /CONTRAST = -3 3
- /CONTRAST = 2 -2 1
- /CONTRAST = -9 9
- .
-])
-
-
-AT_CHECK([pspp -o pspp.csv -o pspp.txt oneway-bad-contrast.sps], [0], [dnl
-oneway-bad-contrast.sps:18: warning: ONEWAY: In contrast list 3, the number of coefficients (3) does not equal the number of groups (2). This contrast list will be ignored.
-])
-AT_CHECK([cat pspp.csv], [0], [dnl
-"oneway-bad-contrast.sps:18: warning: ONEWAY: In contrast list 3, the number of coefficients (3) does not equal the number of groups (2). This contrast list will be ignored."
-
-Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-height,Between Groups,92629.63,1,92629.63,120.77,.000
-,Within Groups,4601.87,6,766.98,,
-,Total,97231.50,7,,,
-weight,Between Groups,2451.65,1,2451.65,174.59,.000
-,Within Groups,84.25,6,14.04,,
-,Total,2535.90,7,,,
-temperature,Between Groups,1.80,1,1.80,.13,.733
-,Within Groups,84.55,6,14.09,,
-,Total,86.36,7,,,
-
-Table: Contrast Coefficients
-Contrast,sex,
-,.00,1.00
-1,-1,1
-2,-3,3
-3,-9,9
-
-Table: Contrast Tests
-,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
-height,Assume equal variances,1,-222.27,20.23,-10.99,6.00,.000
-,,2,-666.80,60.68,-10.99,6.00,.000
-,,3,-2000.40,182.03,-10.99,6.00,.000
-,Does not assume equal variances,1,-222.27,27.67,-8.03,2.00,.015
-,,2,-666.80,83.02,-8.03,2.00,.015
-,,3,-2000.40,249.07,-8.03,2.00,.015
-weight,Assume equal variances,1,-36.16,2.74,-13.21,6.00,.000
-,,2,-108.48,8.21,-13.21,6.00,.000
-,,3,-325.44,24.63,-13.21,6.00,.000
-,Does not assume equal variances,1,-36.16,2.19,-16.48,5.42,.000
-,,2,-108.48,6.58,-16.48,5.42,.000
-,,3,-325.44,19.75,-16.48,5.42,.000
-temperature,Assume equal variances,1,-.98,2.74,-.36,6.00,.733
-,,2,-2.94,8.22,-.36,6.00,.733
-,,3,-8.83,24.67,-.36,6.00,.733
-,Does not assume equal variances,1,-.98,2.07,-.47,4.19,.660
-,,2,-2.94,6.22,-.47,4.19,.660
-,,3,-8.83,18.66,-.47,4.19,.660
-])
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY crash on single category independent variable])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([crash.sps],[
-input program.
-loop #i = 1 to 10.
-compute test = #i.
-end case.
-end loop.
-end file.
-end input program.
-
-compute x = 1.
-
-oneway test by x.
-])
-
-AT_CHECK([pspp -O format=csv crash.sps], [0], [ignore])
-
-AT_CLEANUP
-
-
-
-AT_SETUP([ONEWAY crash on missing dependent variable])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([crash2.sps],[dnl
-data list notable list /dv1 * dv2 * y * .
-begin data.
-2 . 2
-1 . 2
-1 . 1
-2 . 4
-3 . 4
-4 . 4
-5 . 4
-end data.
-
-ONEWAY
- /VARIABLES= dv1 dv2 BY y
- /STATISTICS = DESCRIPTIVES
- /POSTHOC = BONFERRONI LSD SCHEFFE SIDAK TUKEY
- /MISSING = ANALYSIS
- .
-])
-
-AT_CHECK([pspp -O format=csv crash2.sps], [0], [ignore])
-
-AT_CLEANUP
-
-
-
-
-AT_SETUP([ONEWAY Games-Howell test with few cases])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([crash3.sps],[dnl
-data list notable list /dv * y * .
-begin data.
-2 2
-1 2
-1 1
-2 4
-3 4
-end data.
-
-ONEWAY
- /VARIABLES= dv BY y
- /POSTHOC = GH
- .
-])
-
-AT_CHECK([pspp -O format=csv crash3.sps], [0], [ignore])
-
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY Crash on empty data])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([crash4.sps],[dnl
-DATA LIST NOTABLE LIST /height * weight * temperature * sex *.
-BEGIN DATA.
-1801 . . 0
-1606 . . 1
-END DATA.
-
-ONEWAY /VARIABLES= height weight temperature BY sex
- /CONTRAST = -1 1
- /CONTRAST = -3 3
- /CONTRAST = 2 -2 1
- /CONTRAST = -9 9
- .
-])
-
-AT_CHECK([pspp -O format=csv crash4.sps], [0], [ignore])
-
-AT_CLEANUP
-
-
-
-AT_SETUP([ONEWAY Crash on invalid dependent variable])
-AT_KEYWORDS([categorical categoricals])
-AT_DATA([crash5.sps],[dnl
-data list notable list /a * b *.
-begin data.
-3 0
-2 0
-6 2
-end data.
-
-oneway a"by b.
-
-])
-
-AT_CHECK([pspp -O format=csv crash5.sps], [1], [ignore])
-
-AT_CLEANUP
-
-
-
-
-AT_SETUP([ONEWAY Crash on unterminated string])
-AT_KEYWORDS([categorical categoricals])
-
-AT_DATA([crash6.sps], [dnl
-DATA LIST NOTABLE LIST /height * weight * temperature * sex *.
-BEGIN DATA.
-1801 . . 0
-1606 . 0 . 1
-END DATA.
-
-ONEWAY /VARIABLES= height weight temperature BY sex
- /CONTRAST =" 2 -2 1
- .
-])
-
-AT_CHECK([pspp -O format=csv crash6.sps], [1], [ignore])
-
-AT_CLEANUP
-
-
-AT_SETUP([ONEWAY contrast bug])
-
-AT_KEYWORDS([categorical categoricals])
-
-
-
-dnl this example comes from: https://case.truman.edu/files/2015/06/SPSS-One-Way-ANOVA.pdf
-AT_DATA([contrasts.sps],
-[
-SET FORMAT=F10.3.
-
-DATA LIST notable LIST /relieftime drugs *.
-begin data.
-12 0
-15 0
-18 0
-16 0
-20 0
-20 1
-21 1
-22 1
-19 1
-20 1
-17 2
-16 2
-19 2
-15 2
-19 2
-14 3
-13 3
-12 3
-14 3
-11 3
-end data.
-
-ONEWAY relieftime by drugs
- /CONTRAST 3 -1 -1 -1
- /CONTRAST 0 2 -1 -1
- /CONTRAST 0 0 1 -1
- .
-])
-
-AT_CHECK([pspp -O format=csv contrasts.sps], [0], [Table: ANOVA
-,,Sum of Squares,df,Mean Square,F,Sig.
-relieftime,Between Groups,146.950,3,48.983,12.723,.000
-,Within Groups,61.600,16,3.850,,
-,Total,208.550,19,,,
-
-Table: Contrast Coefficients
-Contrast,drugs,,,
-,.000,1.000,2.000,3.000
-1,3,-1,-1,-1
-2,0,2,-1,-1
-3,0,0,1,-1
-
-Table: Contrast Tests
-,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
-relieftime,Assume equal variances,1,-1.800,3.040,-.592,16.000,.562
-,,2,10.800,2.149,5.025,16.000,.000
-,,3,4.400,1.241,3.546,16.000,.003
-,Does not assume equal variances,1,-1.800,4.219,-.427,4.611,.689
-,,2,10.800,1.421,7.599,10.158,.000
-,,3,4.400,.990,4.445,7.315,.003
-])
-AT_CLEANUP
-
-AT_SETUP([ONEWAY syntax errors])
-AT_DATA([oneway.sps], [dnl
-DATA LIST LIST NOTABLE/x y z.
-ONEWAY/ **.
-ONEWAY **.
-ONEWAY x **.
-ONEWAY x BY **.
-ONEWAY x BY y/STATISTICS=**.
-ONEWAY x BY y/POSTHOC=ALPHA **.
-ONEWAY x BY y/POSTHOC=ALPHA(**).
-ONEWAY x BY y/POSTHOC=ALPHA(123 **).
-ONEWAY x BY y/POSTHOC=**.
-ONEWAY x BY y/CONTRAST=**.
-ONEWAY x BY y/MISSING=**.
-ONEWAY x BY y/ **.
-])
-AT_CHECK([pspp -O format=csv oneway.sps], [1], [dnl
-"oneway.sps:2.9-2.10: error: ONEWAY: Syntax error expecting VARIABLES.
- 2 | ONEWAY/ **.
- | ^~"
-
-"oneway.sps:3.8-3.9: error: ONEWAY: Syntax error expecting variable name.
- 3 | ONEWAY **.
- | ^~"
-
-"oneway.sps:4.10-4.11: error: ONEWAY: Syntax error expecting `BY'.
- 4 | ONEWAY x **.
- | ^~"
-
-"oneway.sps:5.13-5.14: error: ONEWAY: Syntax error expecting variable name.
- 5 | ONEWAY x BY **.
- | ^~"
-
-"oneway.sps:6.26-6.27: error: ONEWAY: Syntax error expecting DESCRIPTIVES or HOMOGENEITY.
- 6 | ONEWAY x BY y/STATISTICS=**.
- | ^~"
-
-"oneway.sps:7.29-7.30: error: ONEWAY: Syntax error expecting `('.
- 7 | ONEWAY x BY y/POSTHOC=ALPHA **.
- | ^~"
-
-"oneway.sps:8.29-8.30: error: ONEWAY: Syntax error expecting number.
- 8 | ONEWAY x BY y/POSTHOC=ALPHA(**).
- | ^~"
-
-"oneway.sps:9.33-9.34: error: ONEWAY: Syntax error expecting `)'.
- 9 | ONEWAY x BY y/POSTHOC=ALPHA(123 **).
- | ^~"
-
-"oneway.sps:10.23-10.24: error: ONEWAY: Unknown post hoc analysis method.
- 10 | ONEWAY x BY y/POSTHOC=**.
- | ^~"
-
-"oneway.sps:11.24-11.25: error: ONEWAY: Syntax error expecting number.
- 11 | ONEWAY x BY y/CONTRAST=**.
- | ^~"
-
-"oneway.sps:12.23-12.24: error: ONEWAY: Syntax error expecting INCLUDE, EXCLUDE, LISTWISE, or ANALYSIS.
- 12 | ONEWAY x BY y/MISSING=**.
- | ^~"
-
-"oneway.sps:13.16-13.17: error: ONEWAY: Syntax error expecting STATISTICS, POSTHOC, CONTRAST, or MISSING.
- 13 | ONEWAY x BY y/ **.
- | ^~"
-])
-AT_CLEANUP
\ No newline at end of file
projects / pspp / blobdiff