R help - Jan 2011 - Degrees of freedom

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??????????????????

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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