Hello,
I ran a PGLS analysis like this:
model = gls(y ~ x, correlation = corBrownian(phy = tree, form=~species),
data = data_df, method = "ML")
I was able to extract the coefficients (intercept + b1 in this case), as
well as the relevant p-values. What I couldn't figure out is how to get a
correlation coefficient between y and x, something like R-squared or
pearson's coefficient.
Can you please help with that?
Thanks!
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