Principal coordinates analysis is an eigenanalysis of distance or metric dissimilarity matrices.
the distance or dissimilarity matrix object of
class "dist" returned from
the number of dimensions to return
pco is simply a wrapper for the
of Venebles and Ripley to make plotting of the function similar to
other LabDSV functions
An object of class ‘pco’ with components:
the coordinates of samples on eigenvectors
Principal Coordinates Analysis was pioneered by Gower (1966) as an alternative to PCA better suited to ecological datasets.
of the ‘cmdscale’ function: Venebles and Ripley
of the wrapper function David W. Roberts firstname.lastname@example.org http://ecology.msu.montana.edu/droberts/droberts.html
Gower, J.C. (1966) Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53:325-328.
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