krzanowski.test
From MCMCglmm v2.30
by Jarrod Hadfield
Krzanowski's Comparison of Subspaces
Calculates statistics of Krzanowski's comparison of subspaces.
- Keywords
- multivariate
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
metric for overall similarity with 0 indicting no similarity and
a value of length(vecsA)
for identical subspaces
angle in degrees between each best matched pair of vectors
vector that lies between each best matched pair of vectors
References
Krzanowski, W.J. (2000) Principles of Multivariate Analysis. OUP
Examples
# NOT RUN {
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)
# }
Community examples
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