corls_test: Monte-Carlo Test on the sum of the singular values of a...
In ProcMod: Informative Procrustean Matrix Correlation

Description Usage Arguments Author(s) References See Also Examples

performs a Monte-Carlo Test on the sum of the singular values of a procustean rotation (see procuste.rtest).

corls_test(
  ...,
  permutations = permute::how(nperm = 999),
  p_adjust_method = "holm"
)

`...`	the set of matrices or a `procmod_frame` object.
`permutations`	a list of control values for the permutations as returned by the function `how`, or the number of permutations required.
`p_adjust_method`	the multiple test correction method used to adjust p values. `p_adjust_method` belongs one of the folowing values: `"holm"`, `"hochberg"`, `"hommel"`, `"bonferroni"`, `"BH"`, `"BY"`, `"fdr"`, `"none"`. The default is,set to `"holm"`.

Eric Coissac

Christelle Gonindard-Melodelima

\insertRef

Jackson:95:00ProcMod

p.adjust

A <- simulate_matrix(10,3)
B <- simulate_matrix(10,5)
C <- simulate_correlation(B,10,r2=0.6)

# Computes the correlation matrix
data <- procmod_frame(A = A, B = B, C = C)

corls_test(data, permutations = 100)