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ggnext
View on CRAN: Click
here
Download and install ggnext package within the R console
Install from CRAN:
install.packages("ggnext")
Install from Github:
library("remotes")
install_github("cran/ggnext") Install by package version:
library("remotes")
install_version("ggnext", "0.1.0") Attach the package and use:
library("ggnext")
Maintained by
Mahesh Divakaran
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-26
Latest Update: 2026-08-26
Description:
An implementation of the Grammar of Graphics described by Wilkinson (2005, ISBN:978-0-387-24544-7), built on 'S7' classes. The familiar grammar vocabulary of aesthetics, geometries, statistics, scales, coordinates, facets and themes composed with '+' is preserved; every constructor that takes an argument also accepts a plot as the first argument of a native pipe ('|>') stage, so the two styles are interchangeable. The package is extended with built-in interactivity, animation, an exact-data export, a plot linter that flags common statistical-graphics mistakes before a figure ships, and a catalogue covering layout diagrams (Sankey, treemap, network, radar), machine-learning diagnostics (SHAP, receiver operating characteristic, calibration, partial dependence) and clinical reporting (Kaplan-Meier, forest, swimmer, CONSORT). Static output is written to Scalable Vector Graphics; interactive output is a self-contained 'HTML' document using a canvas element and vanilla 'JavaScript'. Both render targets consume the same computed-geometry buffer, giving a single source of truth for layer geometry. Layout and estimation algorithms follow their published descriptions, including Bruls, Huizing and van Wijk (2000) <doi:10.1007/978-3-7091-6783-0_4> for squarified treemaps, Fruchterman and Reingold (1991) <doi:10.1002/spe.4380211102> for force-directed graphs, and Kaplan and Meier (1958) <doi:10.1080/01621459.1958.10501452> for survival curves.
How to cite:
Mahesh Divakaran (2026). ggnext: A Next-Generation Grammar of Graphics. R package version 0.1.0, https://cran.r-project.org/web/packages/ggnext. Accessed 04 Oct. 2026.
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