dimdesc function

Dimension 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.

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)

Returns

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

References

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

Author(s)

Francois Husson francois.husson@institut-agro.fr

See Also

PCA, CA, MCA, MFA, HMFA,

Video showing how to use this function

Examples

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