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plot_var.clv3w

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

Clustering of Variables Around Latent Variables

v2.0.1
GPL-3
Authors
Evelyne Vigneau [aut, cre], Mingkun Chen [ctb], Veronique Cariou [aut]
Initial release

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