mcc: Compute a Mathews Correlation Coefficient

In CoreGx: Classes and Functions to Serve as the Basis for Other 'Gx' Packages

Description

The function computes a Matthews correlation coefficient for two factors provided to the function. It assumes each factor is a factor of class labels, and the enteries are paired in order of the vectors.

Usage

mcc(x, y, nperm = 1000, setseed = 12345, nthread = 1)

Arguments

x, y	factor of the same length with the same number of levels
nperm	number of permutations for significance estimation. If 0, no permutation testing is done
setseed	seed for permutation testing
nthread	can parallelize permutation texting using parallel's mclapply

Value

A list with the MCC as the $estimate, and p value as $p.value

Examples

x <- factor(c(1,2,1,2,3,1))
y <- factor(c(2,1,1,1,2,2))
mcc(x,y)

CoreGx documentation built on Dec. 20, 2019, 1:08 a.m.