
Accelerating ggplot2
ggforce is a package aimed at providing missing
functionality to ggplot2 through the extension system
introduced with ggplot2 v2.0.0. Broadly speaking
ggplot2 has been aimed primarily at explorative data
visualization in order to investigate the data at hand, and less at
providing utilities for composing custom plots a la D3.js. ggforce is mainly an
attempt to address these “shortcomings” (design choices might be a
better description). The goal is to provide a repository of geoms,
stats, etc. that are as well documented and implemented as the official
ones found in ggplot2.
You can install the released version of ggforce from CRAN with:
install.packages("ggforce")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("thomasp85/ggforce")ggforce is by design a collection of features with the
only commonality being their tie to the ggplot2 API.
Because of this an overview of all features would get too long for a
README. The package has a website where every
feature is described and justified with examples and plots. There should
be a plot in the README of a visualization package though, so without
further ado:
library(ggforce)
#> Loading required package: ggplot2
ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species)) +
geom_point() +
facet_zoom(x = Species == "versicolor")
Please note that the ‘ggforce’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.