Have you read Pinheiro and Bates (2000) Mixed-Effects Models in S and
S-Plus (Springer)? The figures and tables in this book should give you
some ideas that you can adapt to summarizing the results of fits to
nonnormal data.
If you've tried this and still have questions for this listserve,
PLEASE do read the posting guide! "www.R-project.org/posting-guide.html"
then submit another post after trying some of the things suggested in
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self-contained example that someone can copy from your email into R and
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your chances of getting useful replies quickly.
hope this helps,
spencer graves
Tracy Feldman wrote:
> To whom it may concern:
>
> I recently used lmer (for non-normally distributed data and mixed effects,
> using the Laplace method). All 3 of my fixed effects were categorical,
> including two ordered factors and one unordered factor. In my tables, I
> currently report the number of observations for the response variable, and
> both the degrees of freedom and Chi Square values from tests of reduced
> models against the full model.
>
> However, I would also like to include some indication of the magnitude and
> direction of the change in each fixed effect (and interaction effects) as a
> function of the response variable. Is this done with the "estimate +/- SE"
> of fixed effects in the summary of the fitted model? Either way, I am
> confused with how to report these effects succinctly, especially because for
> categorical variables, each category has its own estimated effect. What is a
> reasonable way to do this? Or should I just avoid it entirely?
>
> I really appreciate your time and help. Please reply to [EMAIL PROTECTED]
> or [EMAIL PROTECTED]
>
> Sincerely,
> Tracy S. Feldman
>
>
> ---------------------------------
>
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