ggraph: An Implementation of Grammar of Graphics for Graphs and Networks

The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.

Version: 2.0.0
Depends: R (≥ 2.10), ggplot2 (≥ 3.0.0)
Imports: Rcpp (≥ 0.12.2), dplyr, ggforce (≥ 0.3.1), grid, igraph (≥ 1.0.0), scales, MASS, digest, gtable, ggrepel, utils, stats, viridis, rlang, tidygraph, graphlayouts (≥ 0.5.0)
LinkingTo: Rcpp
Suggests: network, knitr, rmarkdown, purrr, tibble, seriation, deldir, gganimate
Published: 2019-09-02
Author: Thomas Lin Pedersen ORCID iD [cre, aut], RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85 at gmail.com>
BugReports: https://github.com/thomasp85/ggraph/issues
License: MIT + file LICENSE
URL: https://github.com/thomasp85/ggraph
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: ggraph results

Downloads:

Reference manual: ggraph.pdf
Vignettes: Edges
Layouts
Nodes
tidygraph and ggraph
Package source: ggraph_2.0.0.tar.gz
Windows binaries: r-devel: ggraph_2.0.0.zip, r-release: ggraph_2.0.0.zip, r-oldrel: ggraph_2.0.0.zip
OS X binaries: r-release: ggraph_2.0.0.tgz, r-oldrel: ggraph_2.0.0.tgz
Old sources: ggraph archive

Reverse dependencies:

Reverse depends: clustree
Reverse imports: bibliometrix, clustringr, enviGCMS, genBaRcode, ggdag, MEGENA, phylopath, saotd, scholar, snahelper, stminsights
Reverse suggests: drake, EcoNetGen, economiccomplexity, graphlayouts, particles, rvinecopulib, see, visNetwork, widyr, wikisourcer, XGR

Linking:

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