permutation.W: Parallel computing permutations of W statistic of CANOVA

In liyistat/canova: CANOVA: Efficient test for nonlinear dependence of two continuous variables

Description

permutation.W

Usage

permutation.W(x, y, k, perm, clusters)

Arguments

x	A vector containing values of a continuous variable (X).
y	A vector containing values of a continuous variable (Y).
k	the neighborhood structure or bin size of the dataset.
perm	the number of permutations to calculate permutation pvalues.
clusters	the number of "SOCK" cluster type slave nodes to implement parallel computing on the local machine.

Value

permutations The permutations of observed W statistic of CANOVA.

Author(s)

Yi Li, [e-mail]

References

Wang Y, Li Y, Cao H, et al. Efficient test for nonlinear dependence of two continuous variables[J]. BMC bioinformatics, 2015, 16(1): 1.

liyistat/canova documentation built on May 21, 2019, 7:33 a.m.