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PCCA: a program for phylogenetic canonical correlation analysis
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Autores
Revell, Liam J.
Harrison, Alexis S.
Fecha
2008-02-21
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Oxford University Press
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Abstract
Summary: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel’s , which can then be used in the phylogenetic transformation.
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Keywords
PCCA , Biological species , Canonical correlations
