I would consider using the lda() function from MASS package. The function
allows for the use of a training dataset (the extant data, in your case) and
the associated predict function gives you the score of all specimens (extant
and fossil). In my experience, the ordination of specimens on the di
Hey Morphmetricians,
So I have a question regarding calculating PC scores and CV scores post-hoc:
I have a GMM dataset of extant and fossil species which I want to plot
using PCA and CVA. I want to calculate the extant species first, then use
the eigenvectors from this the plot the scores for t
Dear all,
*My example:*
I have 150 participants in my sample. At time point 1 (eg., at birth), I
collected some background information (including both categorical and
continuous variables) from the participants. Images of the participants
were taken at time point 2 (eg., 6 months) and time poi
