Permutation test for a single DR projection

Performs a permutation test to assess statistical significance of quality and behavior indices.

Usage

perm_test(D_high, D_low, K, n_perm = 1000)

Arguments

D_high

High-dimensional distance matrix (n x n).

D_low

Low-dimensional distance matrix (n x n).

K

Integer neighborhood size.

n_perm

Number of permutations (default 1000).

Value

A list with elements:

vals

Named vector of observed index values.

pQ

P-values for quality indices (one-tailed).

pB

P-values for behavior indices (two-tailed).

Examples

set.seed(42)
Dh <- as.matrix(dist(matrix(rnorm(50), 10, 5)))
Dl <- as.matrix(dist(matrix(rnorm(20), 10, 2)))
pt <- perm_test(Dh, Dl, K = 3, n_perm = 99)