Hi Silvano:
Could you tell me what "correlation=corSymm(form = ~ 1 |id)" represents? In
our case, team is random effect, trt, pairs, grade, school are fixed effect,
and each team is within school.
I still got the different results from both SAS and R.
> unstruct <- gls(score~trt+pairs+grade+s
ne: 3371-4346
--
- Original Message -
From: "Belle"
To:
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
The empirical statement on the proc mixed line gives you robust
standard errors, I don't think you get them in R.
In SAS you specify that the predictors are to be dummy coded using the
class . Are they factors in R? I can't tell from the SAS output,
because the formatting has been lost. However
Hi Harold:
I know the outputs are different between SAS and R, but the results that I
got have big difference.
Here is part of the result based on the SAS code I provided earlier:
Cov Parm SubjectEstimate Error
Value Pr > Z
t.org] On
> Behalf Of Belle
> Sent: Thursday, January 27, 2011 3:54 PM
> To: r-help@r-project.org
> Subject: Re: [R] HLM Model
>
>
> Hi Harold:
>
> Yes, this was the R code that I tried, and got different result from SAS.
>
> Is that mean I cannot actually use R to
Hi Harold:
Yes, this was the R code that I tried, and got different result from SAS.
Is that mean I cannot actually use R to run unstructured covariance matrix?
How can I solve this problem if I need an unstructured covariance matrix
method?
Thanks for the help.
--
View this message in contex
oject.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 mi
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
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