weighted.cor {descriptio} | R Documentation |

## Weighted correlation

### Description

Computes the weighted correlation between two distributions. This can be Pearson, Spearman or Kendall correlation.

### Usage

```
weighted.cor(x, y, weights = NULL, method = "pearson", na.rm = FALSE)
```

### Arguments

`x` |
numeric vector |

`y` |
numeric vector |

`weights` |
numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used. |

`method` |
a character string indicating which correlation coefficient is to be computed. One of "pearson" (default), "kendall", or "spearman". |

`na.rm` |
logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE. |

### Value

a length-one numeric vector

### Author(s)

Nicolas Robette

### See Also

### Examples

```
data(Movies)
weighted.cor(Movies$Critics, Movies$BoxOffice, weights = rep(c(.8,1.2), 500))
weighted.cor(Movies$Critics, Movies$BoxOffice, weights = rep(c(.8,1.2), 500), method = "spearman")
```

[Package

*descriptio*version 1.3 Index]