Plot the contribution of the initial variables to the analysis (i.e. correlation circle). Typically these are the eigen vectors and eigen values in ordinations.
A dataframe of the contribution of each original variable on each axis of the analysis, i.e. the eigen vectors.
A vector of the importance of the axes in the ordination, i.e. a vector of eigen values.
Requires ade4 library. If using
princomp , use $loadings and $sdev of the princomp object. if using
dudi.pca, use $li and $eig of the dudi.pca object.
Olivier Broennimann [email protected]
Broennimann, O., M.C. Fitzpatrick, P.B. Pearman, B. Petitpierre, L. Pellissier, N.G. Yoccoz, W. Thuiller, M.J. Fortin, C. Randin, N.E. Zimmermann, C.H. Graham and A. Guisan. 2012. Measuring ecological niche overlap from occurrence and spatial environmental data. Global Ecology and Biogeography, 21, 481-497.
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