Dear Kay, It is not an issue of whether it is "allowed". The issue is understanding what comparisons are taking place between the models. Your advisor should help with that.
Perhaps you had a more focused question related to R? Sincerely, KeithC. -----Original Message----- From: Kay Cichini [mailto:kay.cich...@uibk.ac.at] Sent: Wednesday, April 28, 2010 3:56 AM To: r-help@r-project.org Subject: [R] model selection, lme 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.
