A graph, while not "tidy" in itself, can be thought of as two tidy
data frames describing node and edge data respectively. 'tidygraph'
provides an approach to manipulate these two virtual data frames using the
API defined in the 'dplyr' package, as well as provides tidy interfaces to
a lot of common graph algorithms.
Version: |
1.2.0 |
Imports: |
tibble, dplyr (≥ 0.8.5), igraph, magrittr, utils, rlang, R6, Rcpp, tools, stats, tidyr, pillar |
LinkingTo: |
Rcpp |
Suggests: |
network, data.tree, ape, graph, methods, testthat, covr, seriation, netrankr, influenceR, NetSwan |
Published: |
2020-05-12 |
Author: |
Thomas Lin Pedersen
[cre, aut] |
Maintainer: |
Thomas Lin Pedersen <thomasp85 at gmail.com> |
BugReports: |
https://github.com/thomasp85/tidygraph/issues |
License: |
MIT + file LICENSE |
URL: |
https://tidygraph.data-imaginist.com,
https://github.com/thomasp85/tidygraph |
NeedsCompilation: |
yes |
Materials: |
README NEWS |
CRAN checks: |
tidygraph results |