
CRAN: Package ggplot2
A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes …
Description uses ggplot2 to draw a particular plot for an object of a particular class in a single autoplot() command. This defines the S3 generic that other classes and packages can extend.
The Comprehensive R Archive Network
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Using ggplot2 in packages - The Comprehensive R Archive Network
This vignette is intended for package developers who use ggplot2 within their package code. As of this writing, this includes over 2,000 packages on CRAN and many more elsewhere!
Introduction to ggplot2 - The Comprehensive R Archive Network
ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics.
Introduction to the viridis color maps
Jan 28, 2024 · The package is meant to be as lightweight and dependency-free as possible for maximum compatibility with all the R ecosystem. viridis provides additional functionalities, in …
Laying out multiple plots on a page
Jul 13, 2019 · Plots produced by ggplot2, including those with facets, and those combined with grid.arrange(), are always displayed on a single page. Sometimes, however, there isn’t enough room …
Package ggExtra - The Comprehensive R Archive Network
Aug 31, 2025 · To use it, simply highlight the code for a ggplot2 plot in your script, and select ggplot2 Marginal Plots from the RStudio Addins menu. Alternatively, you can call the addin directly by calling …
Alluvial Plots in ggplot2 - The Comprehensive R Archive Network
Feb 13, 2023 · The {ggalluvial} package is a {ggplot2} extension for producing alluvial plots in a {tidyverse} framework. The design and functionality were originally inspired by the {alluvial} package …
Help for package ggplot2
Description A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, …