joint.pr.plot {LaplacesDemon} | R Documentation |

## Joint Probability Region Plot

### Description

Given two vectors, the `joint.pr.plot`

function creates a
scatterplot with ellipses of probability regions.

### Usage

```
joint.pr.plot(x, y, quantiles=c(0.25,0.50,0.75,0.95))
```

### Arguments

`x` |
This required argument is a vector. |

`y` |
This required argument is a vector. |

`quantiles` |
These are the quantiles for which probability regions
are estimated with ellipses. The center of the ellipse is plotted by
default. The 0.95 quantile creates a probability region that
contains approximately 95% of the data or samples of |

### Details

A probability region is also commonly called a credible region. For
more information on probability regions, see `p.interval`

.

Joint probability regions are plotted only for two variables, and the
regions are estimated with functions modified from the `car`

package. The internal ellipse functions assume bivariate normality.

This function is often used to plot posterior distributions of
samples, such as from the `LaplacesDemon`

function.

### Author(s)

Statisticat, LLC. software@bayesian-inference.com

### See Also

### Examples

```
library(LaplacesDemon)
x <- rnorm(100)
y <- rnorm(100)
joint.pr.plot(x, y)
```

*LaplacesDemon*version 16.1.6 Index]