FactoMineR: dimdesc – R documentation

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dimdesc

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 characterized 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 categorical variables

Author(s)

Francois Husson Francois.Husson@agrocampus-ouest.fr

References

Husson, F., Le, S. and Pages, J. (2010). Exploratory Multivariate Analysis by Example Using R, Chapman and Hall.

Examples

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

FactoMineR

Multivariate Exploratory Data Analysis and Data Mining

v2.4

GPL (>= 2)

Authors

Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet

Initial release

2020-12-09