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This function is designed to point out the variables and the categories that are the most characteristic according
to each dimension obtained by a Factor Analysis.
dimdesc(res, axes = 1:3, proba = 0.05)Returns a list including:
the description of the dimensions by the quantitative variables. The variables are sorted.
the description of the dimensions by the categorical variables
an object of class PCA, MCA, CA, MFA or HMFA
a vector with the dimensions to describe
the significance threshold considered to characterized the dimension (by default 0.05)
Francois Husson Francois.Husson@agrocampus-ouest.fr
Husson, F., Le, S. and Pages, J. (2010). Exploratory Multivariate Analysis by Example Using R, Chapman and Hall.
PCA, CA, MCA, MFA, HMFA,
Video showing how to use this function
data(decathlon)
res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup=13, graph=FALSE)
dimdesc(res.pca)
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