> Dear R-listers
>
> I'm a new R-user who needs some help with a test that I want to do. I
> have done a field experiment: four treatments (cont, x, y and xy) at
> three sites (A, B and C), the response is count data (0 - 15). I've
done
> a Poisson regression:
>
>
> >glm(response~as.factor(treatment)*as.factor(site), family=quasipoisson,
> offset(max.response), data=dat)
>
> The "offset" is the maximum response for the sample, different
for each
> sample (8 - 34). To extract, I've used:
>
>
> >drop1(dat.glm, .~., test="Chisq")
>
> However, how do I do a post-hoc multiple comparison to see which
> treatment(s) and interaction(s) are giving significant effects? I have
> found the "multcomp package" with the "csimtest" but it
requires the
> "parameter estimates", how do I get these for all my
"treatments" and
> "sites?
>
you can extract the parameter estimates from the model using `coef' and
their covariance matrix by `vcov'. Maybe you need to pass the constrasts
of interest to glm, for example using:
R> contrasts(treatment) <- C
where C is the MP-inverse of your contrast matrix (see MASS3, 1999, page
200 for more details). That gives you all you need for calling
csim{int,test}.
Torsten
>
> Yours sincerely
> Micke
>
>
> ************************************************************************
> ******
> Mikael Niva
> Dept. of Plant Ecology
> EBC, Uppsala universitet
>
>
>
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