On Thu, Jan 22, 2009 at 10:48 PM, Chun Zhang <usame...@yahoo.com> wrote: > Hi all, > I am using cross-validation to validate a generalized linear mixed effects > model fitted using glmmPQL. i found that the predict function has a problem > and i wonder if anyone has encountered the same problem? > > glmm1 = glmmPQL(y~aX+b,random=~1|sample,data=traindata) > predict(glmm1,newdata=testdata,level=1,type="response") > > gives me all "NA"s. it works for level=0 (the fixed effects), but not for > level=1. When i use newdata=traindata, predict function works perfectly. > > i wonder if this is a problem with predict function or it's some bug in my > code?
...perhaps the levels of 'sample' differ between 'traindata' and 'testdata'? hth, Kingsford Jones > > Thanks much for your help! > > Chun > > Chun Zhang > Statistician at Roche > > ______________________________________________ > 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. > ______________________________________________ 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.
