plsc wrote: > > > I analysed my data with lme and after that I spent a lot of time for > mean separation of treatments (post hoc). But still I couldnât make > through it. This is my data set and R scripts I tried. > > .... > > 3 level3 var4 3612 61 > > modela<-lme(height~variety*fertilizer, random=~1|replication) > library(multcomp) > hgt <- glht(modela,linfct=mcp(fertilizer="Tukey")) > Any body can help me to proceed tukey (or lsd) with lme that would be > highly appreciated. > >
Try a search on tukey and lme, and make sure that you have a current version of R installed. The combination was broken on some earlier versions. http://r-project.markmail.org/search/?q=tukey+lme Dieter -- View this message in context: http://r.789695.n4.nabble.com/lme-post-hoc-tp3224436p3224655.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.
