cor_diff {bruceR} | R Documentation |

## Test the difference between two correlations.

### Description

Test the difference between two correlations.

### Usage

```
cor_diff(r1, n1, r2, n2, n = NULL, rcov = NULL)
```

### Arguments

`r1` , `r2` |
Correlation coefficients (Pearson's |

`n` , `n1` , `n2` |
Sample sizes. |

`rcov` |
[Optional] Only for nonindependent
then, as Y and Z are also correlated, we should also consider |

### Value

Invisibly return the *p* value.

### Examples

```
# two independent rs (X~Y vs. Z~W)
cor_diff(r1=0.20, n1=100, r2=0.45, n2=100)
# two nonindependent rs (X~Y vs. X~Z, with Y and Z also correlated [rcov])
cor_diff(r1=0.20, r2=0.45, n=100, rcov=0.80)
```

[Package

*bruceR*version 2023.9 Index]