Dear Dean,
Thank you for your rapid response!
I am wondering (and confused) because I have used the compare.evol.rates with my landmark datasets,
fullscap_evolrate <- compare.evol.rates(A = mean_LM_array2,
phy = phylotree2,
gp = group_membership,
iter = 999, method = "simulation")
which provided me rates for every group:
> summary(fullscap_evolrate)
Call:
Observed Rate Ratio: 15.7248
P-value: 0.002
Effect Size: 3.4922
Based on 1000 random permutations
The rate for group Gorilla is 1.86577843326962e-07
The rate for group Homo is 1.78471729684361e-06
The rate for group Hoolock is 1.72174050168419e-07
The rate for group Hylobates is 7.7402866480952e-07
The rate for group Pan is 3.44122727119845e-07
The rate for group Pongo is 1.13497259516306e-07
The rate for group Symphalangus is 5.86273920101665e-07
which is what I originally expected, however how is the function able to calculate an evolutionary rate for a group that only has one LM consensus (e.g., Homo, which only contains one Homo sapiens LM set)?
Thanks a lot,
Stine