Significance test which produces p-values and confidence intervals for each pair of input features.
cor.mtest(mat, ...)Input matrix of size FxS, with F columns that
represent features and S rows that represent samples.
Additional arguments passed to function cor.test,
e.g. conf.level = 0.95.
Return a list containing:
Square matrix of size FxF with p-values as cells
Square matrix of size FxF, each cell represents the
lower part of a confidence interval
Square matrix of size FxF, each cell represents the
upper part of a confidence interval
Function cor.test