dnl PSPP - a program for statistical analysis.
-dnl Copyright (C) 2017 Free Software Foundation, Inc.
-dnl
+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
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
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
ONEWAY
quality BY brand
/STATISTICS descriptives homogeneity
- /CONTRAST = -2 1 1
+ /CONTRAST = -2 1 1
/CONTRAST = 0 -1 1
.
])
ONEWAY
v1 v2 BY dep
/STATISTICS descriptives homogeneity
- /MISSING ANALYSIS
+ /MISSING ANALYSIS
.
])
AT_DATA([oneway-missing2.sps],
[DATA LIST NOTABLE LIST /v1 * v2 * dep * vn * .
BEGIN DATA
-4 . 1 2
+4 . 1 2
3 3 1 2
2 2 1 2
1 1 1 2
AT_DATA([oneway-missing3.sps],
[DATA LIST NOTABLE LIST /v1 * v2 * dep * vn * .
BEGIN DATA
-4 2 . 2
+4 2 . 2
3 3 1 2
2 2 1 2
1 1 1 2
.
])
-AT_CHECK([pspp -O format=csv oneway-descriptives.sps], [0],
+AT_CHECK([pspp -O format=csv oneway-descriptives.sps], [0],
[Table: Descriptives
,,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
,BRAND,,,,,Lower Bound,Upper Bound,,
.
])
-AT_CHECK([pspp -O format=csv oneway-homogeneity.sps], [0],
+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
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 's/^,Within Groups,3.88/,Within Groups,3.87/' pspp.csv], [0],
+AT_CHECK([sed -e 's/^,Within Groups,3.88/,Within Groups,3.87/' pspp.csv], [0],
[Table: Descriptives
,,N,Mean,Std. Deviation,Std. Error,95% Confidence Interval for Mean,,Minimum,Maximum
,g,,,,,Lower Bound,Upper Bound,,
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
+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,-.74,4.53,1.503
+,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
+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,-7.51,7.00,2.000
+,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
+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,-1.01,3.64,1.627
+,Does not assume equal variances,1,-9.70,9.57,-1.01,3.64,.373
,,2,11.73,14.53,.81,9.88,.438
])
/POSTHOC = SIDAK.
])
-AT_CHECK([pspp -O format=csv oneway-sidak.sps], [0],
+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
/posthoc scheffe.
])
-AT_CHECK([pspp -O format=csv oneway-scheffe.sps], [0],
+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
END DATA.
ONEWAY /VARIABLES= height weight temperature BY sex
- /CONTRAST = -1 1
- /CONTRAST = -3 3
+ /CONTRAST = -1 1
+ /CONTRAST = -3 3
/CONTRAST = 2 -2 1
/CONTRAST = -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,-8.03,2.00,1.985
-,,2,-666.80,83.02,-8.03,2.00,1.985
-,,3,-2000.40,249.07,-8.03,2.00,1.985
-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,-16.48,5.42,2.000
-,,2,-108.48,6.58,-16.48,5.42,2.000
-,,3,-325.44,19.75,-16.48,5.42,2.000
-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,-.47,4.19,1.340
-,,2,-2.94,6.22,-.47,4.19,1.340
-,,3,-8.83,18.66,-.47,4.19,1.340
+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_DATA([crash2.sps],[dnl
data list notable list /dv1 * dv2 * y * .
begin data.
-2 . 2
-1 . 2
-1 . 1
-2 . 4
+2 . 2
+1 . 2
+1 . 1
+2 . 4
3 . 4
-4 . 4
-5 . 4
+4 . 4
+5 . 4
end data.
-ONEWAY
+ONEWAY
/VARIABLES= dv1 dv2 BY y
/STATISTICS = DESCRIPTIVES
/POSTHOC = BONFERRONI LSD SCHEFFE SIDAK TUKEY
- /MISSING = ANALYSIS
+ /MISSING = ANALYSIS
.
])
ONEWAY
/VARIABLES= dv BY y
/POSTHOC = GH
- .
+ .
])
AT_CHECK([pspp -O format=csv crash3.sps], [0], [ignore])
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
+,drugs,,,
+Contrast,.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