Hi all,
I would like to use procD.allometry to study allometry in two species.
I understand that the function returns the regression score for each
specimen as Reg.proj, and that the calculation is obtained as:
s = Xa, where X is the nxp matrix of Procrustes shape variables, and a is
the px1 vector of regression coefficients normalized to 1. I am able to
verify this computation from first principles when all samples are presumed
to come from the same species.
However, what happens when we are interested in more than 1 species (say
2)? I could run procD.allometry by including the species labels via
f2=~gps, where gps gives the species labels. Is there just 1 regression
vector (which feels weird, since this should be species-specific), or 2? If
so, how can I recover both vectors? What is the difference of including
f2=~gps using all data, compared to if we make two separate runs of
procD.allometry, one for samples from species 1, and another for samples
from species 2?
Thanks for any help.
Rgds,
TF
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