Dear All, I want to analyse treatment effects with time series data: I measured e.g. leaf number (five replicate plants) in relation to two soil pH - after 2,4,6,8 weeks. I used mixed effects models, but some analyses didnĀ“t work. It seems for me as if this is a randomly occurring problem since sometimes the same model works sometimes not.
An example: > names(test) [1] "rep" "treat" "leaf" "week" > library (lattice) > library (nlme) > test<-groupedData(leaf~week|rep,outer=~treat,test) > model<-lme(leaf~treat,random=~leaf|rep) Error in lme.formula(leaf~ treat, random = ~week|rep) : nlminb problem, convergence error code = 1; message = iteration limit reached without convergence (9) Has anybody an idea to solve this problem? Thanks Ilona Ilona Leyer Conservation Biology University of Marburg Germany e-mail: [EMAIL PROTECTED] ______________________________________________ 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.