Hello everyone,
I am comparing a categorical data vs. a continues data, but the continues
data is a frequency of an observed parameter. I'm considering using
phylogenetic ANOVA (Garland 1993) or PGLS for categorical data. But, I am
not sure with one is more appropriate to my data.
I would like
Hi all
I am trying to analyze the integration between organs in root systems of
angisoperms. My idea is testing if three different angiosperm groups
integrate vascular tissue across root orders in the same way. So far I have
been working with linear mixed effect models to test the idea, like in
Hello,
Some colleagues and I are running some phylogenetic ANOVAS using the geiger
package. In some of the analyses we get the same phylogentic p-value (very
small p-value) even though the F-statistic differs between the two analyses,
albeit it being relatively high in both instances. We were
Just to clarify the point - the null distribution for the test-statistic
(F) in this method is generated by Brownian motion simulation on the
phylogeny. The P-value of the ANOVA is thus obtained by comparing the
observed test-statistic to simulated test-statistics (for an arbitrarily
large
