Article
Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution.
PloS one - 1 Jan 2015
Renaud Sabrina, Dufour Anne-Béatrice, Hardouin Emilie A, Ledevin Ronan, Auffray Jean-Christophe
Abstract excerpt
Geometric morphometrics aims to characterize of the geometry of complex traits. It is therefore by essence multivariate. The most popular methods to investigate patterns of differentiation in this context are (1) the Principal Component Analysis (PCA), which is an eigenvalue decomposition of the total variance-covariance matrix among all specimens; (2) the Canonical Variate Analysis (CVA, a.k.a. linear...
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