Permutation p-value for many correlation coefficients {corrfuns} | R Documentation |

## Permutation p-value for many correlation coefficients

### Description

Permutation p-value for many correlation coefficients.

### Usage

```
permcorrels(y, x, B = 999)
```

### Arguments

`y` |
A numerical vector. |

`x` |
A numerical matrix with many columns. |

`B` |
The number of bootstrap samples to generate. |

### Details

This is the same function as `correls`

, only this time the p-values are produced via permutations and no confidence intervals are produced.

### Value

A matrix with 2 columns, the correlations and their permutation based p-values.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

### See Also

### Examples

```
y <- rnorm(40)
x <- matrix(rnorm(40 * 1000), ncol = 1000)
a <- permcorrels(y, x )
```

[Package

*corrfuns*version 1.0 Index]