Following lme model runs fine in general under R.2.1.1 but only for 9 out of my 11 response variables under R.2.2.0.
model for one of my response variables: lme(Yresp~F1fix,random=list(const=pdBlocked(list(~F2mix-1,~Ass:F1fix-1,~F3mix-1,~F1fix:F3mix-1,~F2mix:F3mix-1),pdClass="pdIdent"))) Yresp is my response variable, F1fix is a fixed effect factor whereas F2mix and F3mix are random effect factors. const is set to rep(1,dim(Ycont)[1]). The strange thing is that if an intercept is omitted (F1fix-1) the R.2.2.0 also runs a 100 %. It's the same model, just with another parameterization?????? Niels Sommer ______________________________________________ [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
