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PharmacoGx (version 1.1.6)

mcc: Compute a Mathews Correlation Coefficient

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

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

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