More to the point, you are confusing multistratum AOV with single-stratuam AOV. For a good tutorial, see MASS4 (bibliographic information in the R FAQ). For unbalanced data we suggest you use lme() instead.
On Tue, 14 Feb 2006, WPhantom wrote: > 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 -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [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
