dimdesc {FactoMineR} | R Documentation |
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)
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) |
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 |
Francois Husson Francois.Husson@agrocampus-ouest.fr
data(decathlon) res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup=13, graph=FALSE) dimdesc(res.pca)