AT_CHECK([pspp -O format=csv latin.sps | sed 's/329.62[[678]]/329.62/'], [0],
[dnl
-warning: GLM is experimental. Do not rely on these results.
-
Table: Tests of Between-Subjects Effects
Source,Type III Sum of Squares,df,Mean Square,F,Sig.
Corrected Model,263.064,15,17.538,5.269,.000
AT_CHECK([pspp -O format=csv 2by2.sps ], [0],
[dnl
-warning: GLM is experimental. Do not rely on these results.
-
Table: Tests of Between-Subjects Effects
Source,Type III Sum of Squares,df,Mean Square,F,Sig.
Corrected Model,8667.053,3,2889.018,5.043,.012
AT_CLEANUP
-AT_SETUP([GLM Type 1 Sums of Squares])
+AT_SETUP([GLM Type I and II Sums of Squares])
dnl The following example comes from
dnl http://www.uvm.edu/~dhowell/StatPages/More_Stuff/Type1-3.pdf
-AT_DATA([type1.sps], [dnl
+AT_DATA([data-inc.sps], [dnl
set decimal = dot.
set format=F20.3.
data list notable list /dv * Agrp * B0 * B1 * B2 * i0 * i1 * i2 * sss *.
begin data.
-5 1 1 0 0 1 0 0 1.00
-7 1 1 0 0 1 0 0 1.00
-9 1 1 0 0 1 0 0 1.00
-8 1 1 0 0 1 0 0 1.00
-2 1 0 1 0 0 1 0 1.00
-5 1 0 1 0 0 1 0 1.00
-7 1 0 1 0 0 1 0 1.00
-3 1 0 1 0 0 1 0 1.00
-9 1 0 1 0 0 1 0 1.00
-8 1 0 0 1 0 0 1 1.00
-11 1 0 0 1 0 0 1 1.00
-12 1 0 0 1 0 0 1 1.00
-14 1 0 0 1 0 0 1 1.00
-11 1 -1 -1 -1 -1 -1 -1 1.00
-15 1 -1 -1 -1 -1 -1 -1 1.00
-16 1 -1 -1 -1 -1 -1 -1 1.00
-10 1 -1 -1 -1 -1 -1 -1 1.00
-9 1 -1 -1 -1 -1 -1 -1 1.00
-7 -1 1 0 0 -1 0 0 2.00
-9 -1 1 0 0 -1 0 0 2.00
-10 -1 1 0 0 -1 0 0 2.00
-9 -1 1 0 0 -1 0 0 2.00
-3 -1 0 1 0 0 -1 0 2.00
-8 -1 0 1 0 0 -1 0 2.00
-9 -1 0 1 0 0 -1 0 2.00
-11 -1 0 1 0 0 -1 0 2.00
-9 -1 0 0 1 0 0 -1 2.00
-12 -1 0 0 1 0 0 -1 2.00
-14 -1 0 0 1 0 0 -1 2.00
-8 -1 0 0 1 0 0 -1 2.00
-7 -1 0 0 1 0 0 -1 2.00
-11 -1 -1 -1 -1 1 1 1 2.00
-14 -1 -1 -1 -1 1 1 1 2.00
-10 -1 -1 -1 -1 1 1 1 2.00
-12 -1 -1 -1 -1 1 1 1 2.00
-13 -1 -1 -1 -1 1 1 1 2.00
-11 -1 -1 -1 -1 1 1 1 2.00
-12 -1 -1 -1 -1 1 1 1 2.00
+5 1 1 0 0 1 0 0 1.00
+7 1 1 0 0 1 0 0 1.00
+9 1 1 0 0 1 0 0 1.00
+8 1 1 0 0 1 0 0 1.00
+2 1 0 1 0 0 1 0 1.00
+5 1 0 1 0 0 1 0 1.00
+7 1 0 1 0 0 1 0 1.00
+3 1 0 1 0 0 1 0 1.00
+9 1 0 1 0 0 1 0 1.00
+8 1 0 0 1 0 0 1 1.00
+11 1 0 0 1 0 0 1 1.00
+12 1 0 0 1 0 0 1 1.00
+14 1 0 0 1 0 0 1 1.00
+11 1 -1 -1 -1 -1 -1 -1 1.00
+15 1 -1 -1 -1 -1 -1 -1 1.00
+16 1 -1 -1 -1 -1 -1 -1 1.00
+10 1 -1 -1 -1 -1 -1 -1 1.00
+9 1 -1 -1 -1 -1 -1 -1 1.00
+7 -1 1 0 0 -1 0 0 2.00
+9 -1 1 0 0 -1 0 0 2.00
+10 -1 1 0 0 -1 0 0 2.00
+9 -1 1 0 0 -1 0 0 2.00
+3 -1 0 1 0 0 -1 0 2.00
+8 -1 0 1 0 0 -1 0 2.00
+9 -1 0 1 0 0 -1 0 2.00
+11 -1 0 1 0 0 -1 0 2.00
+9 -1 0 0 1 0 0 -1 2.00
+12 -1 0 0 1 0 0 -1 2.00
+14 -1 0 0 1 0 0 -1 2.00
+8 -1 0 0 1 0 0 -1 2.00
+7 -1 0 0 1 0 0 -1 2.00
+11 -1 -1 -1 -1 1 1 1 2.00
+14 -1 -1 -1 -1 1 1 1 2.00
+10 -1 -1 -1 -1 1 1 1 2.00
+12 -1 -1 -1 -1 1 1 1 2.00
+13 -1 -1 -1 -1 1 1 1 2.00
+11 -1 -1 -1 -1 1 1 1 2.00
+12 -1 -1 -1 -1 1 1 1 2.00
end data.
do if B0 = -1 AND B1 = -1 AND B2 = -1.
do if B0 = 1 AND B1 = 0 AND B2 = 0.
compute Bgrp = 1.
end if.
+])
+AT_DATA([type1.sps], [dnl
+include 'data-inc.sps'.
glm dv by Agrp Bgrp
/method = sstype (1)
AT_CHECK([pspp -O format=csv type1.sps], [0],
[dnl
-warning: GLM is experimental. Do not rely on these results.
-
Table: Tests of Between-Subjects Effects
Source,Type I Sum of Squares,df,Mean Square,F,Sig.
Corrected Model,216.017,7,30.860,5.046,.001
-Intercept,3410.526,1,3410.526,557.709,.000
+Intercept,,,,,
Agrp,9.579,1,9.579,1.566,.220
Bgrp,186.225,3,62.075,10.151,.000
Agrp * Bgrp,20.212,3,6.737,1.102,.364
Total,3810.000,38,,,
Corrected Total,399.474,37,,,
-warning: GLM is experimental. Do not rely on these results.
-
Table: Tests of Between-Subjects Effects
Source,Type I Sum of Squares,df,Mean Square,F,Sig.
Corrected Model,216.017,7,30.860,5.046,.001
-Intercept,3410.526,1,3410.526,557.709,.000
+Intercept,,,,,
Bgrp,193.251,3,64.417,10.534,.000
Agrp,2.553,1,2.553,.418,.523
Bgrp * Agrp,20.212,3,6.737,1.102,.364
Corrected Total,399.474,37,,,
])
+
+AT_DATA([type2.sps], [dnl
+include 'data-inc.sps'.
+
+glm dv by Agrp Bgrp
+ /method = sstype (2)
+ .
+])
+
+
+AT_CHECK([pspp -O format=csv type2.sps], [0],
+ [dnl
+Table: Tests of Between-Subjects Effects
+Source,Type II Sum of Squares,df,Mean Square,F,Sig.
+Corrected Model,216.017,7,30.860,5.046,.001
+Intercept,,,,,
+Agrp,2.553,1,2.553,.418,.523
+Bgrp,186.225,3,62.075,10.151,.000
+Agrp * Bgrp,20.212,3,6.737,1.102,.364
+Error,183.457,30,6.115,,
+Total,3810.000,38,,,
+Corrected Total,399.474,37,,,
+])
+
AT_CLEANUP
+
+
+
+AT_SETUP([GLM excluded intercept])
+
+dnl The following example comes from
+dnl
+dnl Rudolf N. Cardinal
+dnl Graduate-level statistics for psychology and neuroscience
+dnl ANOVA in practice, and complex ANOVA designs
+dnl Version of 2 May 2004
+dnl
+dnl Downloaded from: http://egret.psychol.cam.ac.uk/psychology/graduate/Guide_to_ANOVA.pdf
+
+AT_DATA([intercept-exclude.sps], [dnl
+set format = F20.3.
+
+data list notable list /depvar * A *.
+begin data.
+10 1
+14 1
+8 1
+7 1
+2 1
+10 1
+1 1
+3 1
+2 1
+8.5 1
+14.29 2
+18.49 2
+12.46 2
+11.63 2
+6.66 2
+14.02 2
+5.66 2
+7.06 2
+6.37 2
+13.26 2
+end data.
+
+GLM depvar by A
+ /intercept = exclude
+ .
+
+
+GLM depvar by A
+ /intercept = include
+ .
+
+])
+
+AT_CHECK([pspp -O format=csv intercept-exclude.sps], [0],
+ [dnl
+Table: Tests of Between-Subjects Effects
+Source,Type III Sum of Squares,df,Mean Square,F,Sig.
+Model,1636.826,2,818.413,43.556,.000
+A,1636.826,2,818.413,43.556,.000
+Error,338.216,18,18.790,,
+Total,1975.042,20,,,
+
+Table: Tests of Between-Subjects Effects
+Source,Type III Sum of Squares,df,Mean Square,F,Sig.
+Corrected Model,98.568,1,98.568,5.246,.034
+Intercept,1538.258,1,1538.258,81.867,.000
+A,98.568,1,98.568,5.246,.034
+Error,338.216,18,18.790,,
+Total,1975.042,20,,,
+Corrected Total,436.784,19,,,
+])
+
+AT_CLEANUP
+
projects / pspp / blobdiff