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.

Thank you very much for any help,

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

Museum of Natural Science <>
Louisiana State University
119 Foster Hall
Baton Rouge, LA 70803, USA

Twitter: @brown_birds <>

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