krzanowski.test: Krzanowski's Comparison of Subspaces

In MCMCglmm: MCMC Generalised Linear Mixed Models

Krzanowski's Comparison of Subspaces

Description

Calculates statistics of Krzanowski's comparison of subspaces.

Usage

krzanowski.test(CA, CB, vecsA, vecsB, corr = FALSE, ...)

Arguments

CA	Matrix A
CB	Matrix B
vecsA	Vector of integers indexing the eigenvectors determining the subspace of A
vecsB	Vector of integers indexing the eigenvectors determining the subspace of B
corr	logical; if TRUE the variances of A and B are standardised
...	further arguments to be passed

Value

sumofS	metric for overall similarity with 0 indicting no similarity and a value of length(vecsA) for identical subspaces
angles	angle in degrees between each best matched pair of vectors
bisector	vector that lies between each best matched pair of vectors

Author(s)

Jarrod Hadfield [e-mail]

References

Krzanowski, W.J. (2000) Principles of Multivariate Analysis. OUP

Examples

CA<-rIW(diag(5),10, n=1)
CB<-rIW(diag(5),10, n=1)
krzanowski.test(CA, CB, vecsA=1:2, vecsB=1:2)
krzanowski.test(CA, CA, vecsA=1:2, vecsB=1:2)

MCMCglmm documentation built on July 9, 2023, 5:24 p.m.