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 <u...@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. > [[alternative HTML version deleted]] ______________________________________________ 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.
