GLM: Mimic spss output with /INTERCEPT=EXCLUDE

[pspp-builds.git] / tests / language / stats / glm.at

diff --git a/tests/language/stats/glm.at b/tests/language/stats/glm.at
index 28a86d359f66d969e69c3a74136d420731ad1262..ec9a6799e379cd31f4852f07ac256e1b2d93bb35 100644 (file)
--- a/tests/language/stats/glm.at
+++ b/tests/language/stats/glm.at
@@ -263,3 +263,80 @@ 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
+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.
+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,,,
+
+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,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
+