plt.cc {CCA}R Documentation

Graphical outputs for canonical correlation analysis

Description

This function calls either plt.var() or plt.indiv() or both functions to provide individual and/or variable representation on the canonical variates.

Usage

plt.cc(res, d1 = 1, d2 = 2, int = 0.5, type = "b", ind.names = NULL,
var.label = FALSE, Xnames = NULL, Ynames = NULL)

Arguments

res Object returned by cc() or rcc()
d1 The dimension that will be represented on the horizontal axis
d2 The dimension that will be represented on the vertical axis
int The radius of the inner circle
type Character "v" (variables), "i" (individuals) or "b" (both) to specifying the plot to be done.
ind.names vector containing the names of the individuals
var.label logical indicating whether label should be plotted on the variables representation
Xnames vector giving the names of X variables
Ynames vector giving the names of Y variables

Author(s)

Sébastien Déjean, Ignacio González

References

www.lsp.ups-tlse.fr/Biopuces/CCA

See Also

plt.indiv, plt.var

Examples

data(nutrimouse)
X=as.matrix(nutrimouse$gene[,1:10])
Y=as.matrix(nutrimouse$lipid)
res.cc=cc(X,Y)
plt.cc(res.cc)
plt.cc(res.cc,d1=1,d2=3,type="v",var.label=TRUE)

[Package CCA version 1.2 Index]