ClustVarLV: plot_var – R documentation

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plot_var

Representation of the variables and their group membership

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

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

`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).

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

Clustering of Variables Around Latent Variables

v2.0.1

GPL-3

Authors

Evelyne Vigneau [aut, cre], Mingkun Chen [ctb], Veronique Cariou [aut]

Initial release