Dear R/statistics wizards,
This may be more of a statistics question than an R one, but Im hoping
that someone has the time to help. Ive already consulted a few local
statisticians and Ive 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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