Hello everybody, i'm trying to run a lme but am having a problem. My model have many response variables and when i run the anova, the number of interactions (up to six) is great and the p-values of all variables not appear.
I wanted to know if i could to control the number of interactions of the model, or if this method is the most advisable for so many variables. Thanks in advance! Follows the procedure I'm using: v.is<-lme(is~direction*envir*region*hour*estom*esl, random=~1|ind/dir/reg, tabela) anova(v.is,test="F") -- View this message in context: http://r.789695.n4.nabble.com/Controlling-the-number-of-interactions-of-a-lme-tp4650183.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.
