output: New page-setup-item.

[pspp] / tests / language / stats / oneway.at

diff --git a/tests/language/stats/oneway.at b/tests/language/stats/oneway.at
index dfb43bbe909bafafbae78cb46f7a31eea9dc3029..58fd75e289ae712c1fc47e70b38ce88afc9a7256 100644 (file)
--- a/tests/language/stats/oneway.at
+++ b/tests/language/stats/oneway.at
@@ -1,6 +1,23 @@
+dnl PSPP - a program for statistical analysis.
+dnl Copyright (C) 2017 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_BANNER([ONEWAY procedure])
 
 AT_SETUP([ONEWAY basic operation])

+AT_KEYWORDS([categorical categoricals])

 AT_DATA([oneway.sps],
   [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
 BEGIN DATA
 AT_DATA([oneway.sps],
   [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
 BEGIN DATA


@@ -34,8 +51,8 @@ ONEWAY
        .
 ])
 
        .
 ])
 

-AT_CHECK([pspp -O format=csv oneway.sps], [0], 
-[Table: Descriptives
+AT_CHECK([pspp -O format=csv oneway.sps], [0], [dnl
+Table: Descriptives

 ,,,,,,95% Confidence Interval for Mean,,,
 ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum
 Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00
 ,,,,,,95% Confidence Interval for Mean,,,
 ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum
 Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00


@@ -44,12 +61,12 @@ Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00
 ,Total,15,3.47,1.77,.46,2.49,4.45,1.00,7.00
 
 Table: Test of Homogeneity of Variances
 ,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,Significance
-Breaking Strain,.09,2,12,.91
+,Levene Statistic,df1,df2,Sig.
+Breaking Strain,.09,2,12,.913

 
 Table: ANOVA
 
 Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-Breaking Strain,Between Groups,20.13,2,10.07,5.12,.02
+,,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,,,
 
 ,Within Groups,23.60,12,1.97,,
 ,Total,43.73,14,,,
 


@@ -61,15 +78,16 @@ Contrast,1,-2,1,1
 
 Table: Contrast Tests
 ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
 
 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,.03
-,,2,1.80,.89,2.03,12,.07
-,Does not assume equal,1,3.80,1.48,2.56,8.74,.03
-,,2,1.80,.92,1.96,7.72,.09
+Breaking Strain,Assume equal variances,1,3.80,1.54,2.47,12,.029
+,,2,1.80,.89,2.03,12,.065
+,Does not assume equal,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_CLEANUP
 
 
 AT_SETUP([ONEWAY with splits])

+AT_KEYWORDS([categorical categoricals])

 AT_DATA([oneway-splits.sps],
 [DATA LIST NOTABLE LIST /QUALITY * BRAND * S *.
 BEGIN DATA
 AT_DATA([oneway-splits.sps],
 [DATA LIST NOTABLE LIST /QUALITY * BRAND * S *.
 BEGIN DATA


@@ -117,12 +135,12 @@ Breaking Strain,Aspeger,5,2.20,1.30,.58,.58,3.82,1.00,4.00
 ,Total,7,2.57,1.51,.57,1.17,3.97,1.00,5.00
 
 Table: Test of Homogeneity of Variances
 ,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,Significance
-Breaking Strain,1.09,1,5,.35
+,Levene Statistic,df1,df2,Sig.
+Breaking Strain,1.09,1,5,.345

 
 Table: ANOVA
 
 Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-Breaking Strain,Between Groups,2.41,1,2.41,1.07,.35
+,,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,,,
 
 ,Within Groups,11.30,5,2.26,,
 ,Total,13.71,6,,,
 


@@ -134,10 +152,10 @@ Contrast,1,-2,2
 
 Table: Contrast Tests
 ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
 
 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,.35
-,,2,1.30,1.26,1.03,5,.35
-,Does not assume equal,1,2.60,3.22,.81,1.32,.54
-,,2,1.30,1.61,.81,1.32,.54
+Breaking Strain,Assume equal variances,1,2.60,2.52,1.03,5,.349
+,,2,1.30,1.26,1.03,5,.349
+,Does not assume equal,1,2.60,3.22,.81,1.32,.539
+,,2,1.30,1.61,.81,1.32,.539

 
 Variable,Value,Label
 S,2.00,
 
 Variable,Value,Label
 S,2.00,


@@ -150,12 +168,12 @@ Breaking Strain,Bloggs,3,3.00,1.00,.58,.52,5.48,2.00,4.00
 ,Total,8,4.25,1.67,.59,2.85,5.65,2.00,7.00
 
 Table: Test of Homogeneity of Variances
 ,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,Significance
-Breaking Strain,.92,1,6,.37
+,Levene Statistic,df1,df2,Sig.
+Breaking Strain,.92,1,6,.374

 
 Table: ANOVA
 
 Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-Breaking Strain,Between Groups,7.50,1,7.50,3.75,.10
+,,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,,,
 
 ,Within Groups,12.00,6,2.00,,
 ,Total,19.50,7,,,
 


@@ -167,16 +185,17 @@ Contrast,1,-2,2
 
 Table: Contrast Tests
 ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
 
 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,.10
-,,2,2.00,1.03,1.94,6,.10
-,Does not assume equal,1,4.00,1.83,2.19,5.88,.07
-,,2,2.00,.91,2.19,5.88,.07
+Breaking Strain,Assume equal variances,1,4.00,2.07,1.94,6,.101
+,,2,2.00,1.03,1.94,6,.101
+,Does not assume equal,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_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 *.
 dnl Check that missing are treated properly
 AT_DATA([oneway-missing1.sps],
 [DATA LIST NOTABLE LIST /v1 * v2 * dep * vn *.


@@ -282,6 +301,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY descriptives subcommand])
 
 
 AT_SETUP([ONEWAY descriptives subcommand])

+AT_KEYWORDS([categorical categoricals])

 
 AT_DATA([oneway-descriptives.sps],
   [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
 
 AT_DATA([oneway-descriptives.sps],
   [DATA LIST NOTABLE LIST /QUALITY * BRAND * .


@@ -320,8 +340,8 @@ QUALITY,11.00,5,12.20,1.30,.58,10.58,13.82,11.00,14.00
 ,Total,15,13.47,1.77,.46,12.49,14.45,11.00,17.00
 
 Table: ANOVA
 ,Total,15,13.47,1.77,.46,12.49,14.45,11.00,17.00
 
 Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-QUALITY,Between Groups,20.13,2,10.07,5.12,.02
+,,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,,,
 ])
 ,Within Groups,23.60,12,1.97,,
 ,Total,43.73,14,,,
 ])


@@ -331,6 +351,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY homogeneity subcommand])
 
 
 AT_SETUP([ONEWAY homogeneity subcommand])

+AT_KEYWORDS([categorical categoricals])

 
 AT_DATA([oneway-homogeneity.sps],
   [DATA LIST NOTABLE LIST /QUALITY * BRAND * .
 
 AT_DATA([oneway-homogeneity.sps],
   [DATA LIST NOTABLE LIST /QUALITY * BRAND * .


@@ -361,12 +382,12 @@ ONEWAY
 
 AT_CHECK([pspp -O format=csv oneway-homogeneity.sps], [0], 
 [Table: Test of Homogeneity of Variances
 
 AT_CHECK([pspp -O format=csv oneway-homogeneity.sps], [0], 
 [Table: Test of Homogeneity of Variances

-,Levene Statistic,df1,df2,Significance
-QUALITY,.09,2,12,.91
+,Levene Statistic,df1,df2,Sig.
+QUALITY,.09,2,12,.913

 
 Table: ANOVA
 
 Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-QUALITY,Between Groups,20.13,2,10.07,5.12,.02
+,,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,,,
 ])
 ,Within Groups,23.60,12,1.97,,
 ,Total,43.73,14,,,
 ])


@@ -376,6 +397,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY multiple variables])
 
 
 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.
 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.


@@ -414,10 +436,12 @@ ONEWAY x y z by g
        /CONTRAST 2 -9 7  0
        .
 ])
        /CONTRAST 2 -9 7  0
        .
 ])

+

 AT_CHECK([pspp -o pspp.csv multivar.sps])
 AT_CHECK([pspp -o pspp.csv multivar.sps])

+

 dnl Some machines return 3.88 instead of 3.87 below (see bug #31611).
 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],
-[Table: Descriptives
+AT_CHECK([sed 's/^,Within Groups,3.88/,Within Groups,3.87/' pspp.csv], [0], [dnl
+Table: Descriptives

 ,,,,,,95% Confidence Interval for Mean,,,
 ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum
 x,10.00,3,3.67,4.62,2.67,-7.81,15.14,1.00,9.00
 ,,,,,,95% Confidence Interval for Mean,,,
 ,,N,Mean,Std. Deviation,Std. Error,Lower Bound,Upper Bound,Minimum,Maximum
 x,10.00,3,3.67,4.62,2.67,-7.81,15.14,1.00,9.00


@@ -437,20 +461,20 @@ z,10.00,3,3.67,4.73,2.73,-8.07,15.41,.00,9.00
 ,Total,24,4.67,2.99,.61,3.40,5.93,.00,9.00
 
 Table: Test of Homogeneity of Variances
 ,Total,24,4.67,2.99,.61,3.40,5.93,.00,9.00
 
 Table: Test of Homogeneity of Variances

-,Levene Statistic,df1,df2,Significance
-x,18.76,3,20,.00
-y,71.41,3,20,.00
-z,.89,3,20,.46
+,Levene Statistic,df1,df2,Sig.
+x,18.76,3,20,.000
+y,71.41,3,20,.000
+z,.89,3,20,.463

 
 Table: ANOVA
 
 Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-x,Between Groups,56.16,3,18.72,2.92,.06
+,,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,,,
 ,Within Groups,128.34,20,6.42,,
 ,Total,184.50,23,,,

-y,Between Groups,7.75,3,2.58,13.33,.00
+y,Between Groups,7.75,3,2.58,13.33,.000

 ,Within Groups,3.87,20,.19,,
 ,Total,11.63,23,,,
 ,Within Groups,3.87,20,.19,,
 ,Total,11.63,23,,,

-z,Between Groups,17.47,3,5.82,.62,.61
+z,Between Groups,17.47,3,5.82,.62,.610

 ,Within Groups,187.87,20,9.39,,
 ,Total,205.33,23,,,
 
 ,Within Groups,187.87,20,9.39,,
 ,Total,205.33,23,,,
 


@@ -462,18 +486,18 @@ Contrast,1,3,2,0,-5
 
 Table: Contrast Tests
 ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
 
 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,.28
-,,2,6.26,12.32,.51,20,.62
-,Does not assume equal,1,-7.40,10.04,-.74,4.53,1.50
-,,2,6.26,5.85,1.07,2.87,.37
-y,Assume equal variances,1,-6.88,1.16,5.94,20,.00
-,,2,3.50,2.14,1.63,20,.12
-,Does not assume equal,1,-6.88,.91,-7.51,7.00,2.00
-,,2,3.50,1.32,2.65,7.00,.03
-z,Assume equal variances,1,-9.70,8.07,1.20,20,.24
-,,2,11.73,14.91,.79,20,.44
-,Does not assume equal,1,-9.70,9.57,-1.01,3.64,1.63
-,,2,11.73,14.53,.81,9.88,.44
+x,Assume equal variances,1,-7.40,6.67,1.11,20,.280
+,,2,6.26,12.32,.51,20,.617
+,Does not assume equal,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,.000
+,,2,3.50,2.14,1.63,20,.118
+,Does not assume equal,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,.243
+,,2,11.73,14.91,.79,20,.440
+,Does not assume equal,1,-9.70,9.57,-1.01,3.64,.373
+,,2,11.73,14.53,.81,9.88,.438

 ])
 
 AT_CLEANUP
 ])
 
 AT_CLEANUP


@@ -482,6 +506,7 @@ AT_CLEANUP
 
 dnl Tests that everything treats weights properly
 AT_SETUP([ONEWAY vs. weights])
 
 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 *.
 
 AT_DATA([oneway-unweighted.sps],
 [DATA LIST NOTABLE LIST /QUALITY * BRAND * W *.


@@ -553,6 +578,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY posthoc LSD and BONFERRONI])
 
 
 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 *.
 AT_DATA([oneway-pig.sps],[dnl
 SET FORMAT F12.3.
 data list notable list /pigmentation * family *.


@@ -597,12 +623,12 @@ pigmentation,1.000,5,38.600,2.702,1.208,35.245,41.955,36.000,43.000
 ,Total,20,45.850,5.967,1.334,43.057,48.643,36.000,56.000
 
 Table: ANOVA
 ,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,Significance
+,,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,,,
 
 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
+Table: Multiple Comparisons (pigmentation)

 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) family,(J) family,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 LSD,1.000,2.000,-7.400,2.223,.004,-12.112,-2.688
 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) family,(J) family,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 LSD,1.000,2.000,-7.400,2.223,.004,-12.112,-2.688


@@ -635,6 +661,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY posthoc Tukey HSD and Games-Howell])
 
 
 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 *.
 AT_DATA([oneway-tukey.sps],[dnl
 set format = f11.3.
 data list notable list /libido * dose *.


@@ -666,12 +693,12 @@ oneway libido by dose
 
 AT_CHECK([pspp -O format=csv oneway-tukey.sps], [0], 
 [Table: ANOVA
 
 AT_CHECK([pspp -O format=csv oneway-tukey.sps], [0], 
 [Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
+,,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,,,
 
 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
+Table: Multiple Comparisons (libido)

 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) Dose of Viagra,(J) Dose of Viagra,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 Tukey HSD,Placebo,1 Dose,-1.000,.887,.516,-3.366,1.366
 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) Dose of Viagra,(J) Dose of Viagra,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 Tukey HSD,Placebo,1 Dose,-1.000,.887,.516,-3.366,1.366


@@ -691,6 +718,7 @@ Games-Howell,Placebo,1 Dose,-1.000,.887,.479,-3.356,1.356
 AT_CLEANUP
 
 AT_SETUP([ONEWAY posthoc Sidak])
 AT_CLEANUP
 
 AT_SETUP([ONEWAY posthoc Sidak])

+AT_KEYWORDS([categorical categoricals])

 AT_DATA([oneway-sidak.sps],[dnl
 SET FORMAT F20.4.
 
 AT_DATA([oneway-sidak.sps],[dnl
 SET FORMAT F20.4.
 


@@ -726,31 +754,32 @@ ONEWAY
 
 AT_CHECK([pspp -O format=csv oneway-sidak.sps], [0], 
 [Table: ANOVA
 
 AT_CHECK([pspp -O format=csv oneway-sidak.sps], [0], 
 [Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
-score,Between Groups,54.9500,3,18.3167,7.0449,.0031
+,,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,,,
 
 ,Within Groups,41.6000,16,2.6000,,
 ,Total,96.5500,19,,,
 

-Table: Multiple Comparisons
+Table: Multiple Comparisons (score)

 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) program,(J) program,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) program,(J) program,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound

-Šidák,1.0000,2.0000,3.0000,1.0198,.0561,-.0575,6.0575
-,,3.0000,-.4000,1.0198,.9993,-3.4575,2.6575
-,,4.0000,3.2000,1.0198,.0375,.1425,6.2575
-,2.0000,1.0000,-3.0000,1.0198,.0561,-6.0575,.0575
-,,3.0000,-3.4000,1.0198,.0250,-6.4575,-.3425
-,,4.0000,.2000,1.0198,1.0000,-2.8575,3.2575
-,3.0000,1.0000,.4000,1.0198,.9993,-2.6575,3.4575
-,,2.0000,3.4000,1.0198,.0250,.3425,6.4575
-,,4.0000,3.6000,1.0198,.0166,.5425,6.6575
-,4.0000,1.0000,-3.2000,1.0198,.0375,-6.2575,-.1425
-,,2.0000,-.2000,1.0198,1.0000,-3.2575,2.8575
-,,3.0000,-3.6000,1.0198,.0166,-6.6575,-.5425
+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_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 *.
 AT_DATA([oneway-scheffe.sps],[dnl
 set format = f11.3.
 data list notable list /usage * group *.


@@ -807,12 +836,12 @@ oneway usage by group
 
 AT_CHECK([pspp -O format=csv oneway-scheffe.sps], [0], 
 [Table: ANOVA
 
 AT_CHECK([pspp -O format=csv oneway-scheffe.sps], [0], 
 [Table: ANOVA

-,,Sum of Squares,df,Mean Square,F,Significance
+,,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,,,
 
 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
+Table: Multiple Comparisons (Days of Use)

 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) group,(J) group,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 Scheffé,one,two,3.800,2.357,.467,-3.112,10.712
 ,,,Mean Difference,,,95% Confidence Interval,
 ,(I) group,(J) group,(I - J),Std. Error,Sig.,Lower Bound,Upper Bound
 Scheffé,one,two,3.800,2.357,.467,-3.112,10.712


@@ -833,6 +862,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY bad contrast count])
 
 
 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 *.
 
 AT_DATA([oneway-bad-contrast.sps],[dnl
 DATA LIST NOTABLE LIST /height * weight * temperature * sex *.


@@ -860,14 +890,14 @@ AT_CHECK([pspp -O format=csv 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."
 
 Table: ANOVA
 "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,Significance
-height,Between Groups,92629.63,1,92629.63,120.77,.00
+,,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,,,
 ,Within Groups,4601.87,6,766.98,,
 ,Total,97231.50,7,,,

-weight,Between Groups,2451.65,1,2451.65,174.59,.00
+weight,Between Groups,2451.65,1,2451.65,174.59,.000

 ,Within Groups,84.25,6,14.04,,
 ,Total,2535.90,7,,,
 ,Within Groups,84.25,6,14.04,,
 ,Total,2535.90,7,,,

-temperature,Between Groups,1.80,1,1.80,.13,.73
+temperature,Between Groups,1.80,1,1.80,.13,.733

 ,Within Groups,84.55,6,14.09,,
 ,Total,86.36,7,,,
 
 ,Within Groups,84.55,6,14.09,,
 ,Total,86.36,7,,,
 


@@ -880,30 +910,31 @@ Contrast,1,-1,1
 
 Table: Contrast Tests
 ,,Contrast,Value of Contrast,Std. Error,t,df,Sig. (2-tailed)
 
 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
-,,2,-666.80,60.68,10.99,6,.00
-,,3,-2000.40,182.03,10.99,6,.00
-,Does not assume equal,1,-222.27,27.67,-8.03,2.00,1.98
-,,2,-666.80,83.02,-8.03,2.00,1.98
-,,3,-2000.40,249.07,-8.03,2.00,1.98
-weight,Assume equal variances,1,-36.16,2.74,13.21,6,.00
-,,2,-108.48,8.21,13.21,6,.00
-,,3,-325.44,24.63,13.21,6,.00
-,Does not assume equal,1,-36.16,2.19,-16.48,5.42,2.00
-,,2,-108.48,6.58,-16.48,5.42,2.00
-,,3,-325.44,19.75,-16.48,5.42,2.00
-temperature,Assume equal variances,1,-.98,2.74,.36,6,.73
-,,2,-2.94,8.22,.36,6,.73
-,,3,-8.83,24.67,.36,6,.73
-,Does not assume equal,1,-.98,2.07,-.47,4.19,1.34
-,,2,-2.94,6.22,-.47,4.19,1.34
-,,3,-8.83,18.66,-.47,4.19,1.34
+height,Assume equal variances,1,-222.27,20.23,10.99,6,.000
+,,2,-666.80,60.68,10.99,6,.000
+,,3,-2000.40,182.03,10.99,6,.000
+,Does not assume equal,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,.000
+,,2,-108.48,8.21,13.21,6,.000
+,,3,-325.44,24.63,13.21,6,.000
+,Does not assume equal,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,.733
+,,2,-2.94,8.22,.36,6,.733
+,,3,-8.83,24.67,.36,6,.733
+,Does not assume equal,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_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.
 AT_DATA([crash.sps],[
 input program.
 loop #i = 1 to 10.


@@ -925,6 +956,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY crash on missing dependent variable])
 
 
 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.
 AT_DATA([crash2.sps],[dnl
 data list notable list /dv1 * dv2  *  y * .
 begin data.


@@ -953,6 +985,7 @@ AT_CLEANUP
 
 
 AT_SETUP([ONEWAY Games-Howell test with few cases])
 
 
 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.
 AT_DATA([crash3.sps],[dnl
 data list notable list /dv * y * .
 begin data.


@@ -972,3 +1005,67 @@ ONEWAY
 AT_CHECK([pspp -O format=csv crash3.sps], [0], [ignore])
 
 AT_CLEANUP
 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