get_weight function

Weights of the external variables, or additional mode, on the latent component in each cluster.

To get the weigths associated with each cluster. For CLV(_kmeans) or LCLV, applies only when external variables (Xr, Xu or both) are involved. For CLV3W(_kmeans), the weights are associated with the third mode of the 3-way array.

get_weight(resclv, K = NULL, graph = FALSE, cex.lab = 1)

Arguments

• resclv: : result of CLV(), CLV_kmeans() or LCLV(), CLV3W() or CLV3W_kmeans()
• K: : the number of clusters chosen (already defined if CLV_kmeans or CLV3W_kmeans is used)
• graph: : boolean, if TRUE, the barplot associated with the scores is displayed (default : graph=FALSE)
• cex.lab: : magnification to be used for labels (1 by default)

Returns

• weight: Weights in each cluster (associated with mode 3 for CLV3W object)

  For each cluster, the vector of weights is set to length 1

  output provided as matrix with K columns (K: number of clusters)

  In the special case of LCLV, two matrices of weights are defined :

  weight_v : weights of the external Xr variables,

  weight_u : weights of the external Xu variables.