Hello, I have a two traits, one categorical (binary) and one continuous,
and I want to test for a relationship between them accounting for
phylogenetic signal. I have found a plethora of sources for examining
relationships between multiple categorical traits and many others for
examining multiple continuous traits, but I have been hard pressed to find
a test for one categorical and one continuous trait. A random blog post I
stumbled across said I could use either standard phylogenetic independent
contrasts (e.g. pic in ape) or general estimating equations (e.g.
compar.gee in ape). Unfortunately the examples only used continuous data
and tested for significance with regressions through the origin (e.g.
lm(var1_pic ~ var2_pic - 1) or compar.gee(var1 ~ var2 - 1, phy = tree) ).
This seems wrong when one variable was categorical, no?
So, are PICs and PGEEs really appropriate for a single categorical and a
single continuous variable? If so, what is the appropriate way to test for
significance? If not, or if there's a better way, how can I test this?
Thanks!
Sean
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