Dear R/statistics wizards,



This may be more of a statistics question than an R one, but I’m hoping
that someone has the time to help.  I’ve already consulted a few local
statisticians and I’ve not yet received a clear answer.  Before I start an
experiment I want to conduct an a priori power analysis test for a
Generalized Linear Model, family = poisson.  The response variables will be
counts.  I want to look at the effects of 5 temperatures and 3 salinities,
and their interaction in 15 different combinations (5 temperatures each
testing 3 different salinity levels).   I am hoping to learn the power I
would achieve if I used a sample size of 18 in each of the combinations,
for a total sample size N = 270.



Does such a power analysis exist?  Can I just use a power analysis for a
linear model since the glm is an extension of that (which seems to make
sense), or maybe even one from a 2 way anova? Can someone show me the path
of righteousness in R, or point me in the right direction please?



Thank you very much for your valuable time.

Chad

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