# cor.mtest

From corrplot v0.84
by Taiyun Wei

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

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

- Keywords
- , P-value, confidence, significance

##### 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:

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

##### See Also

Function `cor.test`

*Documentation reproduced from package corrplot, version 0.84, License: GPL*

### Community examples

Looks like there are no examples yet.