I think it should be fm <- lmer(score ~ trt + pair + grade + school + (1|team), test)
The unstructured covariance matrix you use in proc mixed is not available in Rs function for mixed models > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Belle > Sent: Thursday, January 27, 2011 2:44 PM > To: r-help@r-project.org > Subject: [R] HLM Model > > > Hi > > I am trying to convert SAS codes to R, but some of the result are quite > different from SAS. > > When I ran proc mixed, I have an option ddfm=bw followed by the model. How > can I show this method in R　(I am thinking that this maybe the reason that I > can't get the similar results) > > below is my SAS codes: > > proc mixed data=test covtest empirical; > class pair grade team school; > model score = trt pair grade school/ solution covb ddfm=bw ; > random int / sub=team solution type=un; > run; > > I have tried both lmer and hglm, but non of them works. > > Could anyone tell me how can I covert this SAS codes to R? Thanks > -- > View this message in context: http://r.789695.n4.nabble.com/HLM-Model- > tp3242999p3242999.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. ______________________________________________ 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.
