RFTW <l.temarvelde <at> nioo.knaw.nl> writes:
> Our question is if the proportion of visits to the experimental tree, in > relation to the total number of visits to both trees differs between > treatments. > > We have made treatment and individual into a factor > All individuals were subjected to a maximum of 4 treatments, so > 'individual' is a random factor > > We came up with this model: > model1<-lmer(cbind(ExpTree,Total visits-ExpTree)~ Treat +(1|Ind),method="ML" > , family=binomial, data=r)) why not leave out method="ML" and see what happens? for the current iteration of lmer, REML is not a possibility in any case. The default "Laplace" method should work OK. I'd be slightly worried about your variable name with a space in it (`Total visits`) -- are you sure that is working as expected? For further questions along these lines I would suggest e-mailing [EMAIL PROTECTED] instead ... Ben Bolker ______________________________________________ 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.
