Aov is not the right function for this problem. Lmer is designed for multilevel modeling. There are a lot of resources, but start with the following vignette
Library(lme4) vignette("MlmRevSoft") And then turn to Pinhiero and Bates > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of > Richard M. Heiberger > Sent: Thursday, January 18, 2007 10:22 AM > To: Crabb, David; r-help@stat.math.ethz.ch > Subject: Re: [R] Help with problem - multilevel model? > > This should get you started > > > tmp <- data.frame(y1=rnorm(62*5), > y2=rnorm(62*5), > time=rep(1:5, 62), > id=factor(rep(1:62, each=5)) > ) > > xyplot(y1 ~ y2 | id, data=tmp, group=time, pch=as.character(1:5)) > > tmp.aov <- aov(y1 ~ y2*factor(time) + Error(id), data=tmp) > summary(tmp.aov) > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > ______________________________________________ R-help@stat.math.ethz.ch 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.