ClustVarLV (version 1.4.0)

summary_clv: Description of the clusters of variables

Description

This function provides the list of the variables within each group and complementary informations. Users will be asked to specify the number of clusters,

Usage

summary_clv(resclv, K = NULL)

Arguments

resclv

: result of CLV() or CLV_kmeans()

K

: the number of clusters (unless if CLV_kmeans was used)

Details

The ouputs include :

• the size of the groups,
• the list of the variables within each group. FFor each cluster, the correlation of the each variable with its group latent component and the correlation with the next neighbouring group latent component are given.
• the proportion of the variance within each group explained by its latent variable,
• the proportion of the whole dataset account by the group latent variables
• the matrix of correlation between the latent variables.

Examples

data(apples_sh)
resclvX <- CLV(X = apples_sh$senso, method = "directional", sX = TRUE)
summary_clv(resclvX, K = 4)