Calculates the number of permutations suitable for testing Multiscale Codependence Analysis.
minpermute(alpha, nbtest, margin = 1, ru = 3)
The familywise type I error threshold allowable for the complete analysis.
The number of test performed (the number of eigenvectors in the
'mem' object in the case of
A margin allowed for the number of permutation. Default value: 1.
The magnitude of the round-up to apply to the number of permutations.
This function calculate the number of permutations for use with
margin allows to apply a safe
margin to the number of permutations. The minimal suitable value for this
parameter is 1. Argument
ru allows one to round-up the number of
permutations. A value of 0 implies no round-up, a value of 1 a round-up to
the next ten, 2 a round-up to the next hundred, and so on. Function
minpermute is called internally by
permute = NA. In that case, the margin is set to 10
margin = 10) and the outcome is rounded-up to the next thousand
ru = 3). This function is meant for users that wish to apply their
own margins and round-up factors to calculate the number of permutations for
The minimum number of permutation to be used for
Guillaume Guenard and Pierre Legendre, Bertrand Pages Maintainer: Guillaume Guenard <firstname.lastname@example.org>
Guénard, G., Legendre, P., Boisclair, D., and Bilodeau, M. 2010. Multiscale codependence analysis: an integrated approach to analyse relationships across scales. Ecology 91: 2952-2964
## For a 5\% threshold under 50 tests. minpermute(alpha = 0.05, nbtest=50) ## Allowing more margin (implies more computation time). minpermute(alpha = 0.05, nbtest=50, margin=10, ru=3)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.