summary.clv3w: Summary and description of the clusters of (mode 2) variables...

In ClustVarLV: Clustering of Variables Around Latent Variables

Summary and description of the clusters of (mode 2) variables associated with CLV3W or CLV3W_kmeans

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

## S3 method for class 'clv3w'
summary(object, K = NULL, ...)

Arguments

object	: result of CLV3W() or CLV3W_kmeans()
K	: the number of clusters (unless if CLV3W_kmeans was used)
...	Additional arguments passed on to the real summary.

Details

The ouputs include :

• the size of the groups,
  

• the proportion of the variance within each group explained by its latent variable,
  

• the proportion of the whole dataset accounted by the group latent variables
  

• the latent components (mode 1) associated to the various groups,
  

• the weights (mode 3) associated to the various groups,
  

• the list of the variables within each group. For each cluster, the loading (mode 2) of the variable is given together with the correlation of the block component with its group latent component and the correlation with the next neighbouring group latent component are given.
  

• the matrix of correlation between the latent variables.

ClustVarLV documentation built on May 28, 2022, 5:05 p.m.