CCA: plt.cc – R documentation

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plt.cc

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

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

Canonical Correlation Analysis

v1.2.1

GPL (>= 2)

Authors

Ignacio Gonz<e1>lez, S<e9>bastien D<e9>jean

Initial release

2009-03-11