ggfan
Jason Hilton 14 November, 2017
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
The package has recently been submitted to CRAN. Installation directly from CRAN will be possible if and when the package is accepted: 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.
ggplot(fake_df, aes(x=x, y=y)) + geom_fan() + theme_minimal() + scale_fill_distiller(palette="Spectral")
Further Information
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