Dear all,

Does anyone have any advice on how to calculate measurement error in an
analysis using phylogenetic principal components? Or, in other words, after
I run a phylogenetic PCA on species-level data, how can I "project" my
individual-level data into the phylogenetic PCs so I can calculate a
standard error? I'm running my pPCA using the lambda method and the
covariance matrix.

I would think this would be an usual, simple procedure, and that there
would be an R function for it, but I can't for the life of me find
anything. The recent paper by Jonathan Drury et al linked below does
mention doing it, but without going into any detail.

http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2003563

Thank you very much for any help,


*--*
*Rafael Sobral Marcondes*
PhD Candidate (Systematics, Ecology and Evolution/Ornithology)

Museum of Natural Science <http://sites01.lsu.edu/wp/mns/>
Louisiana State University
119 Foster Hall
Baton Rouge, LA 70803, USA

Twitter: @brown_birds <https://twitter.com/brown_birds>

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