Hi R-help members, I have read a lot in the Archive about the "Type I" vs "Type III" sum of square. I think I have read confusing post so I want to have a clear idea of the problem.
Here is an example. I have 3 groups of subjects of unequal sample size (G1 (n=7), G2 (n=7), G3 (n=4)). for Each subject I have 4 measures corresponding to the crossing of 2 factor (A & B) of two levels each. my dependant variable is X. After reading a lot of tutorials on R I have tried the summary(aov(X~GROUP*A*B+Error(SUJECT/(A*B) ) This results are with "type I SS". What's wrong with these results ? Should I use type III SS and, if so how to enter my design in Anova (car package, I still have not the J. Fox's book) ? I have clearly not understood the difference between type I & III (with the limits of each approach). A link to a good tutorial on this topic will help me a lot. Sylvain CLEMENT "Neuropsychology & Auditory Cognition Team" Lille, FRANCE ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
