When you use the 'general linear model' analysis in SPSS, the first result is a table with all terms with F-tests and significance values for all IV's. It uses http://joyx.joensuu.fi/~ek/anova/sstypes.txt SS Type III , which has the advantage that the order in which the variables are added to the model does not matter, and therefore it is relatively objective.
I would like to reproduce this output in R. However, when using anova(glm.object, test="F"), the F test shows "Terms added sequentially (first to last)". Because of this, the F values and p values of the terms depend on the sequence in which they were added. Eg: an anova() of glm(a~b+c) will give other results than glm(a~c+b). How can I specify the SS type of an anova in R, so that i can reproduce the exact results as that i got in SPSS? -- View this message in context: http://www.nabble.com/set-type-of-SS-in-anova%28%29-tp18287076p18287076.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
