as_treenetdf: Convert one of numerous data types to treeNetwork's 'native'...

In networkD3: D3 JavaScript Network Graphs from R

Convert one of numerous data types to treeNetwork's 'native' treenetdf form

Description

The treeNetwork function uses a 'native' data format that consists of a data frame with minimally 2 vectors/columns, one named 'nodeId' and one named 'parentId'. Other columns in the data frame are also passed on to the JavaScript code and attached to the elements in the D3 visualization so that they can potentially be accessed by other JavaScript functions. This is an advantageous format because:

• it's an easy to use and understand R-like format

• a hierarchical network can be succinctly defined by a list of each unique node and its parent node

• since each row defines a unique node, additional columns can be added to add node-specific properties

• in a hierarchical network, every link/edge can be uniquely identified by the node which it leads to, therefore each link/edge can also be specifically addressed by adding columns for formatting of the incoming link

as_treenetdf can convert from any of the following data types:

• leafpathdf (table)–parent|parent|node–data.frame

• hierarchical nested list (JSON)

• hclust

• data.tree Node

• igraph

• ape phylo

Usage

as_treenetdf(data = NULL, ...)

Arguments

data	a tree network description in one of numerous forms (see details).
...	other arguments that will be passed on to as_treenetdf

Examples

links <- read.csv(header = TRUE, stringsAsFactors = FALSE, text = '
                   source,target,name
                   1,,one
                   2,1,two
                   3,1,three
                   4,1,four
                   5,2,five
                   6,2,six
                   7,2,seven
                   8,6,eight')
                   
 # Convert data
 as_treenetdf(links, cols = c(nodeId = 'source', parentId = 'target'))
 
 # Graph (calls as_treenetdf internally)
 treeNetwork(links, cols = c(nodeId = 'source', parentId = 'target'))

networkD3 documentation built on April 15, 2025, 1:14 a.m.