Hi:

Look at the links in the following blog entry:
http://blog.lib.umn.edu/moor0554/canoemoore/2010/09/lmer_p-values_lrt.html

and this discussion, found on the R wiki:
http://rwiki.sciviews.org/doku.php?id=guides:lmer-tests

Also see Ben Bolker's GLMM wiki page, which discusses many of the unresolved
foundational issues in (generalized) linear mixed models:
http://glmm.wikidot.com/faq

Welcome to the jungle :)

HTH,
Dennis



On Tue, Jan 11, 2011 at 9:09 PM, Umit Tokac <ut08@fsu.edu> wrote:

> Hello,
>
> I have a little problem about degree of freedom in R.
> if you can help me, I will be happy.
> I used nlme function to analyze my data and run the linear mixed
> effects model in R.
> I did the linear mixed effect analysis in SAS and SPSS as well.
> However, R gave the different degrees of freedom than SAS and SPSS did.
> Can you help me to learn what the reason is to obtain different
> degrees of freedom from R?
>
> Thanks
>
> Umit Tokac
> Graduate Student
> Measurement and Statistics
> Florida State University
> Tel:            (850)345-7487
>
> ______________________________________________
> 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.
>

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