cor.mtest: Significance test which produces p-values and confidence...

In taiyun/corrplot: Visualization of a Correlation Matrix

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 NxF, with N rows that represent samples and F columns that represent features.
...	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

taiyun/corrplot documentation built on Sept. 3, 2022, 6:51 a.m.