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cor.mtest

Significance test which produces p-values and confidence intervals for each pair of input features.


Description

Significance test which produces p-values and confidence intervals for each pair of input features.

Usage

cor.mtest(mat, ...)

Arguments

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.

Value

Return a list containing:

p

Square matrix of size FxF with p-values as cells

lowCI

Square matrix of size FxF, each cell represents the lower part of a confidence interval

uppCI

Square matrix of size FxF, each cell represents the upper part of a confidence interval

See Also

Function cor.test


corrplot

Visualization of a Correlation Matrix

v0.88
MIT + file LICENSE
Authors
Taiyun Wei [cre, aut], Viliam Simko [aut], Michael Levy [ctb], Yihui Xie [ctb], Yan Jin [ctb], Jeff Zemla [ctb], Moritz Freidank [ctb], Jun Cai [ctb], Tomas Protivinsky [ctb]
Initial release
2021-05-11

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