LMER vs PROC MIXED estimates
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.
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David Winsemius, MD Alameda, CA, USA