plot_var {ClustVarLV}

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)