covplot: scree-ploting cov(X, Y)

In seedCCA: Seeded Canonical Correlation Analysis

scree-ploting cov(X, Y)

Description

Returns a scree-plot of the eigenvalues of cov(first.set, second.set) to select its first d largest eigenvectors.

Usage

covplot(X, Y, mind=NULL)

Arguments

X	numeric matrix (n * p), X
Y	numeric matrix (n * r), Y
mind	numeric, the number of the eigenvalues to show their cumulative percentages. The default is NULL, and then it is equal to min(p,r)

Value

eigenvalues	the ordiered eigenvalues of cov(X,Y)
cum.percent	the cumulative percentages of the eigenvalues
num.evecs	a vector of the numbers of the eigenvectors which forces the cumulative percentages bigger than 0.6, 0.7, 0.8, 0.9

Examples

data(cookie)
myseq<-seq(141,651,by=2)
X<-as.matrix(cookie[-c(23,61),myseq])
Y<-as.matrix(cookie[-c(23,61),701:704])
covplot(X, Y)
covplot(X, Y, mind=4)

seedCCA documentation built on June 9, 2022, 9:05 a.m.