Other packages > Find by keyword >

tidygraph  

A Tidy API for Graph Manipulation
View on CRAN: Click here


Download and install tidygraph package within the R console
Install from CRAN:
install.packages("tidygraph")

Install from Github:
library("remotes")
install_github("cran/tidygraph")

Install by package version:
library("remotes")
install_version("tidygraph", "1.3.1")



Attach the package and use:
library("tidygraph")
Maintained by
Thomas Lin Pedersen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-07
Latest Update: 2024-01-30
Description:
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.
How to cite:
Thomas Lin Pedersen (2017). tidygraph: A Tidy API for Graph Manipulation. R package version 1.3.1, https://cran.r-project.org/web/packages/tidygraph. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:13), 1.0.0 (2017-07-07 07:01), 1.1.0 (2018-02-10 20:44), 1.1.1 (2018-11-20 21:50), 1.1.2 (2019-02-18 23:30), 1.2.0 (2020-05-12 09:30), 1.2.1 (2022-04-05 18:00), 1.2.2 (2022-08-22 09:20), 1.2.3 (2023-02-01 22:10), 1.3.0 (2023-12-18 11:30)
Other packages that cited tidygraph R package
View tidygraph citation profile
Other R packages that tidygraph depends, imports, suggests or enhances
Complete documentation for tidygraph
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA