This README includes information on set up and a number of basic examples. For more information see the package's main page.
Here's an example of
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)
# Load data data(MisLinks) data(MisNodes) # Plot forceNetwork(Links = MisLinks, Nodes = MisNodes, Source = "source", Target = "target", Value = "value", NodeID = "name", Group = "group", opacity = 0.4, colourScale = JS("d3.scaleOrdinal(d3.schemeCategory20);"))
sankeyNetwork using a downloaded JSON data file:
# 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)
You can use igraph 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:
# 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')
saveNetwork to save a network to stand alone HTML file:
library(magrittr) simpleNetwork(networkData) %>% saveNetwork(file = 'Net1.html')
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