Description Usage Arguments Value References
Calculate two-sided p-values from a pairwise correlations matrix and a corresponding "number of samples" matrix, adding a small random noise term which is defined as epsilon * rand(0,1).
1 | matCorSig.fuzz(corrs, nsamp, secondMat = FALSE, epsilon = 1e-06)
|
corrs |
Computed correlation matrix. |
nsamp |
Computed number of samples used per call in the correlation matrix. |
secondMat |
Logical indicator of whether there is a second matrix in the comparison or not. |
epsilon |
A number representing the maximum noise to add to each p-value. Default is 1e-6. |
A matrix of p-values.
HMisc R package https://cran.r-project.org/web/packages/Hmisc/index.html; Yang et al., A Fuzzy Permutation Method for False Discovery Rate Control, Nat Sci Rep (2016), https://www.nature.com/articles/srep28507
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