[R] HLM Model

[Silvano]

Hi Belle,

try this:

SAS:
proc mixed data=test noclprint noinfo covtest noitprint 
method=reml;
class pair grade team school;
model score = trt pair grade school / solution ddfm=bw 
notest;
random int /  sub=team solution type=un r;
run;

R:
require(nlme)
unstruct <- gls(score~trt+pair+grade+school, test,
                correlation=corSymm(form = ~ 1 |id),
                weights=varIdent(form = ~ 1|team), 
method="REML")
summary(unstruct)

--------------------------------------
Silvano Cesar da Costa
Departamento de Estatística
Universidade Estadual de Londrina
Fone: 3371-4346
--------------------------------------
----- Original Message ----- 
From: "Belle" <ping.yi em gmail.com>
To: <r-help em r-project.org>
Sent: Thursday, January 27, 2011 5:43 PM
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
> -- 
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>
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