pcor {coop} | R Documentation |

## Pearson Correlation

### Description

An optimized, efficient implemntation for computing the pearson correlation.

### Usage

```
pcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)
tpcor(x, y, use = "everything", inplace = FALSE, inverse = FALSE)
```

### Arguments

`x` |
A numeric dataframe/matrix or vector. |

`y` |
A vector (when |

`use` |
The NA handler, as in R's |

`inplace` |
Logical; if |

`inverse` |
Logical; should the inverse covariance matrix be returned? |

### Details

See `?coop`

for implementation details.

### Value

The pearson correlation matrix.

### Author(s)

Drew Schmidt

### See Also

### Examples

```
x <- matrix(rnorm(10*3), 10, 3)
coop::pcor(x)
coop::pcor(x[, 1], x[, 2])
```

[Package

*coop*version 0.6-3 Index]