ClustVarLV: plot_var.clv3w – R documentation

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ClustVarLV

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

plot_var.clv3w

Description

Usage

Arguments

ClustVarLV

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