Hierarchical Edge Bundles in R
This packages implements the excellent network visualization method by hierarchical edge bundling (Holten, 2006) in the statistical software R (R Core Team, 2014). Hierarchical edge bundling is a graph and network visualization method in which edges are guided (or, bundled) along a dendrogram with a user-specified strength.
To install the latest version of HierarchicalEdgeBundles directly from the master branch at GitHub, run
#install.packages("devtools") # Uncomment if devtools is not installed devtools::install_github("AEBilgrau/HierarchicalEdgeBundles")
The package is still under development and may be considered unstable. Be sure that you have the package development prerequisites if you wish to install the package from the source.
The following example should run without problems.
set.seed(1) library("HierarchicalEdgeBundles") library("igraph") library("ape") # Create a graph and a tree graph <- watts.strogatz.game(1, size = 9, nei = 2, p = 0.5) V(graph)$name <- paste("Node", 1:9) adj.mat <- get.adjacency(graph) phylo <- as.phylo(hclust(as.dist(1-adj.mat))) # Plot plotHEB(graph, phylo, beta = 0.9, type = "fan")
Holten, Danny. "Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data." Visualization and Computer Graphics, IEEE Transactions on 12.5 (2006): 741-748.
R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.