MCMCglmm: krzanowski.test – R documentation

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krzanowski.test

Krzanowski's Comparison of Subspaces

Calculates statistics of Krzanowski's comparison of subspaces.

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

`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

`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

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

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)

MCMC Generalised Linear Mixed Models

v2.32

GPL (>= 2)

Authors

Jarrod Hadfield

Initial release

2021-03-12