plot_var.clv3w: Scores plot from a Candecomp Parafac analysis. The group...

In ClustVarLV: Clustering of Variables Around Latent Variables

Scores plot from a Candecomp Parafac analysis. The group membership of the variables is superimposed.

Description

Scores plot from a Candecomp Parafac analysis. The group membership of the variables is superimposed.

Usage

plot_var.clv3w(
  resclv3w,
  K = NULL,
  axeh = 1,
  axev = 2,
  labels = FALSE,
  cex.lab = 1,
  v_colors = NULL,
  v_symbol = FALSE,
  beside = FALSE,
  mode3 = FALSE
)

Arguments

resclv3w	the data matrix
K	the number of groups in the partition (already defined if CLV3W_kmeans i used)
axeh	component number for the horizontal axis
axev	component number for the vertical axis
labels	boolean to add variable' labels (label=TRUE) on the plot or not (label=FALSE). By default label=TRUE
cex.lab	magnification to be used for labels (1 by default)
v_colors	default NULL. If missing colors are given, by default
v_symbol	symbols are given instead of colors for the identification of the groups/ =FALSE: no symbol (by default).
beside	plot per cluster of variables, side-by-side =FALSE : an unique plot with all the variables with the identification of their group membership (by default).
mode3	projection of the mode 3 elements onto the scores plot =FALSE : mode 3 elements are not represented (by default).

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