PlotConDens {DescTools} | R Documentation |

## Plot Conditional Densities

### Description

Plot conditional densities by group. For describing how the conditional distribution of a categorical variable y changes over a numerical variable x we have the function cdplot. But if we want to compare multiple densities much work is required. PlotConDens allows to easily enter a grouping variable.

### Usage

```
PlotConDens(formula, data, col = NULL, lwd = 2, lty = 1, xlim = NULL, rev = TRUE,
args.dens = NULL, ...)
```

### Arguments

`formula` |
a |

`data` |
a data frame containing values for any variables in the formula. By default the environment where |

`col` |
a vector of colors to be used to plot the lines. If too short, the values are recycled. |

`lwd` |
a vector of linewidths to be used to plot the lines. If too short, the values are recycled. |

`lty` |
a vector of linetypes to be used to plot the lines. If too short, the values are recycled. |

`xlim` |
the range for the x axis. |

`rev` |
logical, should the values of the response variable be reversed? Default is |

`args.dens` |
additional arguments for the densitiy curves. |

`...` |
the dots are passed on to |

### Details

Especially when we're modelling binary response variables we might want to know, how the binary variable behaves along some numeric predictors.

### Value

the functions for the curves

### Author(s)

Andri Signorell <andri@signorell.net>

### See Also

`cdplot`

, `spineplot`

, `density`

, `PlotMultiDens`

### Examples

```
data(Pima.tr2, package="MASS")
PlotConDens (type ~ age | I((npreg > 0)*1L),
data=Pima.tr2, col=c(DescTools::hblue, DescTools::hred), rev=FALSE,
panel.first=quote(grid()))
```

*DescTools*version 0.99.55 Index]