plt.cc {CCA}

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)