dimdesc {FactoMineR}R Documentation

Dimension description

Description

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.

Usage

dimdesc(res, axes = 1:3, proba = 0.05)

Arguments

res an object of class PCA, MCA, CA, MFA or HMFA
axes a vector with the dimensions to describe
proba the significance threshold considered to caracterized the dimension (by default 0.05)

Value

Returns a list including:

quanti the description of the dimensions by the quantitative variables. The variables are sorted.
quali the description of the dimensions by the qualitative variables

Author(s)

Francois Husson Francois.Husson@agrocampus-ouest.fr

See Also

PCA, CA, MCA, MFA, HMFA

Examples

data(decathlon)
res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup=13, graph=FALSE)
dimdesc(res.pca)

[Package FactoMineR version 1.10 Index]