plot_var: Representation of the variables and their group membership

In ClustVarLV: Clustering of Variables Around Latent Variables

Representation of the variables and their group membership

Description

Loading plot of the variables from a Principal Components Analysis. The group membership of the variables is superimposed.

Usage

plot_var(
  resclv,
  K = NULL,
  axeh = 1,
  axev = 2,
  label = FALSE,
  cex.lab = 1,
  v_colors = NULL,
  v_symbol = FALSE,
  beside = FALSE
)

Arguments

resclv	results of CLV(), CLV_kmeans() or LCLV()
K	the number of groups in the partition (already defined if CLV_kmeans is used)
axeh	component number for the horizontal axis
axev	component number for the vertical axis
label	= TRUE :the column names in X are used as labels / = FALSE: no labels (by default)
cex.lab	: magnification to be used for labels (1 by default)
v_colors	default NULL. If missing colors are given, by default
v_symbol	=TRUE : symbols are given isntead of colors for the identification of the groups/ =FALSE: no symbol (by default).
beside	=TRUE : a 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).

Examples

data(apples_sh)
resclvX <- CLV(X = apples_sh$senso, method = 1, sX = TRUE)
plot_var(resclvX, K = 4, axeh = 1, axev = 2)

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