# ggfan

Jason Hilton 05 March, 2019

## Summarise a distribution through coloured intervals

This package is a ggplot-based implementation of some of the functionality of the `fanplot`

package by Guy Abel. Fanplot provides methods to visualise probability distributions by representing intervals of the distribution function with colours. Plotting samples from posterior distributions obtained through MCMC is a particular aim. A ggplot-based implementation is useful as it allows leverage of the power of ggplot2 features allowing, for example, facetting and easy theming.

## Installation

Installation directly from CRAN should be possible shortly, once the package has been resubmitted and checked: `install.packages("ggfan")`

Otherwise, the package can be installed directly from github using the devtools package: `devtools::install_github("jasonhilton/ggfan")`

.

## Quick Start

The provided `fake_df`

data gives and example of the type of data you might want to plot with ggfan: it consists of 1000 samples of an outcome variable of interest at each value of a covariate `x`

. We can plot this simply using standard `ggplot2`

syntax and `geom_fan`

. Convenient `ggplot`

features such as themes, colour scales and facetting can also be used.

A full description of the functionality of `ggfan`

is provided in the vignette, provided here.

A brief example of using `ggfan`

to plot `stan`

output is given in a second vignette here