krzanowski.test {MCMCglmm}R Documentation

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 j.hadfield@ed.ac.uk

References

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

Examples

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

[Package MCMCglmm version 1.06 Index]