plot_variables: Plot variables in the Canonical Factor Loadings Space

In FRCC: Fast Regularized Canonical Correlation Analysis

Plot variables in the Canonical Factor Loadings Space

Description

This function plots the variables used in the FRCCA as points in a two-dimensional plane in which the axis are the canonical factor loadings selected by the user.

Usage

plot_variables(res.mrcc, i, j, inner_circle_radius = 0.5, text_size = 0.8)

Arguments

res.mrcc	List containing a canonical structure provided by the function frcc.
i	Canonical Factor Loadings which will be used as the horizontal axis.
j	Canonical Factor Loadings which will be used as the vertical axis.
inner_circle_radius	Radius of the circle which is used to determine which variables are significant. Only the significant variables will be labeled.
text_size	Character expansion factor for the labels of the variables.

Value

This function just creates the variables plot. It does not return a value.

Author(s)

Raul Cruz-Cano

References

Cruz-Cano, R.; Lee, M.L.T.; Fast Regularized Canonical Correlation Analysis, Computational Statistics & Data Analysis, Volume 70, 2014, Pages 88-100, ISSN 0167-9473, https://doi.org/10.1016/j.csda.2013.09.020.

Examples

# Example: Multivariate Normal Data
p<-10
q<-10
n<-50
res<-generate_multivariate_normal_sample(p,q,n)
X<-res$X
Y<-res$Y
rownames(X)<-c(1:n)
colnames(X)<-c(1:p)
colnames(Y)<- c(1:q)
my_res<-frcc(X,Y)
grDevices::dev.new()
plot_variables(my_res,1,2,text_size=1.0)

FRCC documentation built on Oct. 29, 2022, 5:06 p.m.