GenerateDistributionByPermutations: Parallel generation of Hobotnica scores by permuting initial...

In lab-medvedeva/Hobotnica-main: Rank statistics for comparing different groups in dataset

Description

Generates Hobotnica scores by randomly permuting the annotation given matrix of distances, annotation and number of permutations to generate. Note that by default program is executed in a non-parallel manner; set nCores = 0 to use maximal number of cores - 1 or nCores > 1 to choose number of cores on your own. nCores = 1 corresponds to non-parallel execution.

Usage

GenerateDistributionByPermutations(distMatrix, annotation, nPermutations, nCores)

Examples

data(iris)
distMatrix = dist(iris[, -5])
annotation = iris[, 5]
distMatrix = as.matrix(distMatrix)
GenerateDistributionByPermutations(distMatrix, annotation, 300)

lab-medvedeva/Hobotnica-main documentation built on Dec. 21, 2021, 8:48 a.m.