hello, i'd like to evaluate the 2 factors (f1 with 4, f2 with 2 levels) and its interactions in my model for writing up a summary table with likelihood-ratio tests for publication purpose. now i'm unsure about which terms of my model may be dropped from the full model and which not.
mfull<-lme(resp~f1*f2,random=...) m1<-lme(resp~f1+f2,..) m2<-lme(resp~f1,..) m3<-lme(resp~f2,..) i compared each model with dropped terms with the full model, but is this allowed for m2 and m3? or would i rather have to sequentially compare mfull/m1,m1/m2,m1/m3. i'd very much appreciate help with this. it may be a trivial problem - but though i could not figure out. thanks in advance, kay ----- ------------------------ Kay Cichini Postgraduate student Institute of Botany Univ. of Innsbruck ------------------------ -- View this message in context: http://r.789695.n4.nabble.com/model-selection-lme-tp2068889p2068889.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
