plt.cc: Graphical outputs for canonical correlation analysis

In CCA: Canonical Correlation Analysis

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)

CCA documentation built on Sept. 8, 2023, 5:19 p.m.