Dear Victor, this is a really difficult problem to intepret, let alone diagnose. Please provide commented, minimal, self-contained, reproducible code that will allow us to see what the problem is.
Cheers Andrew On Wed, Dec 06, 2006 at 09:33:31AM +0100, victor wrote: > 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. -- Andrew Robinson Department of Mathematics and Statistics Tel: +61-3-8344-9763 University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599 http://www.ms.unimelb.edu.au/~andrewpr http://blogs.mbs.edu/fishing-in-the-bay/ ______________________________________________ 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.
