On Nov 6, 2012, at 11:38 PM, sandip1006 wrote: > Hi David, > > Thanks for the reply. sorry for typo in the R script ...what I meant to > write was > testdata <- read.csv("adstest.csv",header=TRUE,sep=",") > attach(testdata) > library(lme4) > options(contrasts = c(factor = "contr.SAS",ordered = "contr.poly")) > lmm.2=lmer(y~X1+X2+X3 + (X2|Geography),REML=TRUE,data=testdata) > > not sure if attaching the dataset causes any problem.
I'm not _sure_ either, but I would definitely advise detach()-ing it. You should not need to attach when you are also passing testdata to the data argument. > Also, I would take > your suggestion and post this in Mixed Models SIG. > > Regards, > Sandip > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/LMER-vs-PROC-MIXED-estimates-tp4648653p4648671.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. David Winsemius, MD Alameda, CA, USA ______________________________________________ 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.