Why networkformat? | Quick examples | Tabular data | The R network ecosystem | What's implemented | Currently available | Getting started
Package: networkformat 0.1.2
Jesse Brandt
networkformat: Convert R Objects to Network Edgelists and Nodelists
Network analysis and plotting packages such as 'igraph', 'tidygraph', and 'ggraph' expect the edges and nodes of a graph as flat tables. Methods are provided to build those tables from data frames (column-pair edges chosen with 'tidyselect' semantics), tree-based model objects ('randomForest', 'tree', 'rpart', 'xgboost', 'gbm'), lists (recursive parent-child edges), and atomic vectors (sequential edges). Graphs can also be constructed in one step via as.igraph() and as_tbl_graph() methods for tree models.
Authors:
networkformat_0.1.2.tar.gz
networkformat_0.1.2.zip(r-4.7-any)networkformat_0.1.2.zip(r-4.6-any)networkformat_0.1.2.zip(r-4.5-any)
networkformat_0.1.2.tgz(r-4.6-any)networkformat_0.1.2.tgz(r-4.5-any)
networkformat_0.1.2.tar.gz(r-4.7-any)networkformat_0.1.2.tar.gz(r-4.6-any)
networkformat_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
networkformat/json (API)
| # Install 'networkformat' in R: |
| install.packages('networkformat', repos = c('https://jessebrandtdata.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jessebrandtdata/networkformat/issues
Pkgdown/docs site:https://jessebrandtdata.github.io
Datasets:
- courses - Course prerequisite and crosslisting network
Last updated from:f931c762ad. Checks:9 OK. Indexed: yes.
networkformat
Last update: 2026-03-20
Started: 2026-02-26
Visualizing models as networks
Decision tree | Random forest | Single tree from a forest | Course prerequisite network
Last update: 2026-03-20
Started: 2026-02-26
Working with edgelists and nodelists
Decision tree | edgelist() | nodelist() | Pairing edges and nodes for igraph | Visualizing the edgelist pipeline | Random forest | The treenum argument | Data frame | Multiple target columns | na.rm --- handling missing values | attr_cols --- selecting edge attributes | symmetric_cols --- marking undirected relationships | Note on tidygraph | Putting it together: course network | Graph statistics | Lists | S3 object fallthrough | Output reference | as.igraph() / as_tbl_graph()
Last update: 2026-03-20
Started: 2026-02-26
