Have you received a reply to this question? If you still want an
answer, please submit a much simpler, self-contained example that
someone can copy from your email into R, examine possibly with other
tools and offer comments in a minute or two. Please include the output,
labeling clearly the degrees of freedom in question, what you think the
number should be and why. I believe that will increase the chances that
you will get a useful reply quickly.
I'm sorry I couldn't help more.
spencer graves
Mark Steer wrote:
> Hi,
>
> I'm running a GLMM on binomial choice data. The outputs I receive are
> sensible except for the degrees of freedom, which come out much larger than
> expected. Can anyone advise please?
>
> Exptl design:
> Response = Choice
> Fixed Factors = Position, Treatment and Sex
> Random Factor = ID nested within Treatment and Sex
> Covariate = Delay
>
> The model:
> glmmPQL(FreeChoice ~ Position * Treatment + Sex + Delay, random = list(~Sex
> + Treatment|Name), family = binomial)
>
> Thanks, Mark
>
> ------------------------------------------------------------------------
>
> Mark Steer
> School of Biological Sciences
> University of Bristol
> Woodland Road
> Bristol, BS8 1UG
>
> tel - ++44 (0)117 9545945 (int. 45945)
>
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