> I am trying to teach myself R and replicate some previous SAS analysis. > Could someone please help me translate the following SAS code into R. > > Proc mixed method=ml > Class Group Treatment Stream Time Year; > Model Logrpk=Treatment Time Treatment*Time; > Random Group Stream (Group Treatment) Year(Time); >
Assuming you have a data frame "dat" with these factors: Group Treatment Stream Time Year And continuous response: logrpk This code is a starting point: (I'm not sure exactly what the SAS syntax means). require(lme4) m1 = lmer(logrpk ~ treatment*time + (1|Group) + (1|Stream:Group:Treatment) + (1|Year:Time), data=dat) Kevin [[alternative HTML version deleted]] ______________________________________________ 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.