PCCA: A program for phylogenetic canonical correlation analysis

L.J. Revell, A.S. Harrison

    Research output: Contribution to journalArticlepeer-review

    50 Scopus citations

    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 Λ, which can then be used in the phylogenetic transformation. © The Author 2008. Published by Oxford University Press. All rights reserved.
    Original languageEnglish (US)
    Pages (from-to)1018-1020
    Number of pages3
    JournalBioinformatics
    Volume24
    Issue number7
    DOIs
    StatePublished - Apr 2008

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