rand_var: Permute each column of a matrix by sampling from empirical...

In vitkl/ParetoTI: R toolbox for Archetypal Analysis and Pareto Task Inference on single cell data

Description

This function uses permutations or sampling with replacement to disrupt relationships between variables but keep the distribution of each variable constant. Variables should be in columns of a matrix.

Usage

rand_var(x, MARGIN = 2, replace = FALSE, prob = NULL)

Arguments

x	matrix to be permuted
MARGIN	which dimension of a matrix to permute? Passed to apply.
replace	should sampling be with replacement? Passed to sample.int.
prob	a vector of probability weights for obtaining the elements of the vector being sampled. Passed to sample.int.

Value

Matrix of the same dimention as the original matrix but with values in each column permuted.

Author(s)

Vitalii Kleshchevnikov

Examples

set.seed(4354)
N = 100
x = matrix(rnorm(N * 10 * N), N * 10, N)
x_rand = rand_var(x, MARGIN = 2, replace = FALSE, prob = NULL)

vitkl/ParetoTI documentation built on Feb. 11, 2020, 1:36 a.m.