mcc {PharmacoGx} | R Documentation |
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.
mcc(x, y, nperm = 1000, setseed = 12345, nthread = 1)
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 |
A list with the MCC as the $estimate, and p value as $p.value
x <- factor(c(1,2,1,2,3,1)) y <- factor(c(2,1,1,1,2,2)) mcc(x,y)