Dear all, I've got a problem in fitting multilevel model in lme. I don't know to much about that but suspect that something is wrong with my model.
I'm trying to fit: m1<-lme(X~Y,~1|group,data=data,na.action=na.exclude,method="ML") m2<-lme(X~Y+Z,~1|group,data=data,na.action=na.exclude,method="ML") where: X - dependent var. measured on a scale ranging from -25 to 0 Y - level 1 variable Z - level 1 variable In m1 the intercept value is equal -3, in m2 (that is after adding Lev 2 var.) is equal +16. What can be wrong with my variables? Is this possible that intercept value exceeds scale? Best regards, victor ______________________________________________ R-help@stat.math.ethz.ch 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.
