Interesting packages for you might be the nlme and lme4 packages and as a book Pinheiro/Bates, "Mixed-Effects Models in S and S-Plus"
Lina Jansen schrieb: > Hi, > > I am analysing an experiment that has one fixed (6 conditions) and two > random factors (11 subjects, 24 images in the conditions). I read somewhere > else that you can also see such a design as a nested experiment with the > hierarchy: subjects -> condition -> image. For some analysis I have one > respond variable and for others I have more. The response variables are > non-normally distributed. Now the question: > > Is there a package that can deal with such a design? I would like to use a > generalized linear model. Are there glms that are extended to do > multivariate analysis (for the 2 random + 1 fixed variable design)? And how > do you call such a design? > > Last question: Can you suggest me some literature about such a problem? I am > quite unsure concerning the analysis. > > Thanks for any advice > lisra > > [[alternative HTML version deleted]] > > ______________________________________________ > [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 > and provide commented, minimal, self-contained, reproducible code. > > > ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
