Jason Hilton 05 March, 2019
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 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").
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")
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