plotCCA: Plot a solution of canonical correlations

In multiUS: Functions for the Courses Multivariate Analysis and Computer Intensive Methods

Plot a solution of canonical correlations

Description

It plots the canonical solution that is obtained by the function multiUS::cancorPlus.

Usage

plotCCA(
  ccRes,
  xTitle = "X",
  yTitle = "Y",
  inColors = TRUE,
  scaleLabelsFactor = 1/2,
  what = "reg",
  nDigits = 2,
  mar = c(1, 2, 1, 1)
)

Arguments

ccRes	The output of multiUS::cancorPlus.
xTitle	The title of the first set of variables.
yTitle	The title of the second set of variables.
inColors	Whether plot should be plotted in colours (TRUE) (default) or in black and white (FALSE).
scaleLabelsFactor	Parameter for setting the size of values (default is 1/2). The size of plotted values is proportional to its value to the power of scaleLabelsFactor.
what	Whether to plot regression coefficients ("reg") (default) or correlations (i.e., canonical structure loadings) ("cor").
nDigits	Number of decimal places.
mar	Margins, default is mar = c(1, 2, 1, 1), see graphics::par.

Value

It plots the plot.

Author(s)

Marjan Cugmas

Examples

tmp<-cancorPlus(x = mtcars[, c(1,2,3)], y = mtcars[, c(4,5, 6)], useCCApackage = TRUE)
plotCCA(tmp, scaleLabelsFactor = 1/2, what = "cor")

multiUS documentation built on July 26, 2023, 3:02 p.m.