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https://github.com/christophergandrud/networkD3
D3 JavaScript Network Graphs from R
https://github.com/christophergandrud/networkD3
d3js networks rstats
Last synced: 3 months ago
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D3 JavaScript Network Graphs from R
- Host: GitHub
- URL: https://github.com/christophergandrud/networkD3
- Owner: christophergandrud
- Created: 2014-08-01T15:29:07.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2023-02-20T22:48:58.000Z (almost 2 years ago)
- Last Synced: 2024-02-07T21:56:37.713Z (about 1 year ago)
- Topics: d3js, networks, rstats
- Language: R
- Homepage: http://christophergandrud.github.io/networkD3
- Size: 1.49 MB
- Stars: 638
- Watchers: 63
- Forks: 274
- Open Issues: 80
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
- awesome-shiny-extensions - networkD3 - Create D3 network, tree, dendrogram, and Sankey diagram from R. (Visualization / Network and Graph Data)
- awesome-starred - christophergandrud/networkD3 - D3 JavaScript Network Graphs from R (others)
README
---
output: md_document
---
# D3 JavaScript Network Graphs from R
Development version: `r packageVersion("networkD3")`
[](https://CRAN.R-project.org/package=networkD3)
[](https://travis-ci.org/christophergandrud/networkD3)
```{r include=FALSE}
knitr::opts_chunk$set(eval = FALSE)
```
This README includes information on set up and a number of basic examples.
For more information see the package's [main page](http://christophergandrud.github.io/networkD3/).
## Usage
Here's an example of `simpleNetwork`:
```{r}
library(networkD3)
# Create fake data
src <- c("A", "A", "A", "A", "B", "B", "C", "C", "D")
target <- c("B", "C", "D", "J", "E", "F", "G", "H", "I")
networkData <- data.frame(src, target)
# Plot
simpleNetwork(networkData)
```
Here's `forceNetwork`:
```{r}
# Load data
data(MisLinks)
data(MisNodes)
# Plot
forceNetwork(Links = MisLinks, Nodes = MisNodes, Source = "source",
Target = "target", Value = "value", NodeID = "name",
Group = "group", opacity = 0.7,
colourScale = JS("d3.scaleOrdinal(d3.schemeCategory20);"))
```
Here's `sankeyNetwork` using a downloaded JSON data file:
```{r}
# Recreate Bostock Sankey diagram: http://bost.ocks.org/mike/sankey/
# Load energy projection data
URL <- paste0("https://cdn.rawgit.com/christophergandrud/networkD3/",
"master/JSONdata/energy.json")
Energy <- jsonlite::fromJSON(URL)
# Plot
sankeyNetwork(Links = Energy$links, Nodes = Energy$nodes, Source = "source",
Target = "target", Value = "value", NodeID = "name",
units = "TWh", fontSize = 12, nodeWidth = 30)
```
### Interacting with igraph
You can use [igraph](http://igraph.org/r/) to create network graph data that can be plotted with **networkD3**. The `igraph_to_networkD3` function converts igraph graphs to lists that work well with **networkD3**. For example:
```{r}
# Load igraph
library(igraph)
# Use igraph to make the graph and find membership
karate <- make_graph("Zachary")
wc <- cluster_walktrap(karate)
members <- membership(wc)
# Convert to object suitable for networkD3
karate_d3 <- igraph_to_networkD3(karate, group = members)
# Create force directed network plot
forceNetwork(Links = karate_d3$links, Nodes = karate_d3$nodes,
Source = 'source', Target = 'target', NodeID = 'name',
Group = 'group')
```
### Saving to an external file
Use `saveNetwork` to save a network to stand alone HTML file:
```{r eval=FALSE}
library(magrittr)
simpleNetwork(networkData) %>% saveNetwork(file = 'Net1.html')
```
## Note
networkD3 began as a port of
[d3Network](http://christophergandrud.github.io/d3Network/) package to the
[htmlwidgets](https://github.com/ramnathv/htmlwidgets) framework. d3Network is
no longer supported.