networkD3 (version 0.1.1)

treeNetwork: Create Reingold-Tilford Tree network diagrams.

Description

Create Reingold-Tilford Tree network diagrams.

Usage

treeNetwork(List, height = NULL, width = NULL, fontSize = 10,
  linkColour = "#ccc", nodeColour = "#fff", nodeStroke = "steelblue",
  textColour = "#111", opacity = 0.9, margin = 0)

Arguments

List

a hierarchical list object with a root node and children.

height

height for the network graph's frame area in pixels (if NULL then height is automatically determined based on context)

width

numeric width for the network graph's frame area in pixels (if NULL then width is automatically determined based on context)

fontSize

numeric font size in pixels for the node text labels.

linkColour

character string specifying the colour you want the link lines to be. Multiple formats supported (e.g. hexadecimal).

nodeColour

character string specifying the colour you want the node circles to be. Multiple formats supported (e.g. hexadecimal).

nodeStroke

character string specifying the colour you want the node perimeter to be. Multiple formats supported (e.g. hexadecimal).

textColour

character string specifying the colour you want the text to be before they are clicked. Multiple formats supported (e.g. hexadecimal).

opacity

numeric value of the proportion opaque you would like the graph elements to be.

margin

integer value of the plot margin. Set the margin appropriately to accomodate long text labels.

source

Reingold. E. M., and Tilford, J. S. (1981). Tidier Drawings of Trees. IEEE Transactions on Software Engineering, SE-7(2), 223-228.

Mike Bostock: http://bl.ocks.org/mbostock/4063550.

Examples

## Create tree from JSON formatted data
## Download JSON data
library(RCurl)
Flare <-
 getURL("http://bit.ly/1uNNAbu")

## Convert to list format
Flare <- rjson::fromJSON(Flare)

## Recreate Bostock example from http://bl.ocks.org/mbostock/4063550
treeNetwork(List = Flare, fontSize = 10, opacity = 0.9)

## Create a tree dendrogram from an R hclust object
hc <- hclust(dist(USArrests), "ave")
treeNetwork(as.treeNetwork(hc))

## Create tree from a hierarchical R list
CanadaPC <- list(name = "Canada", children = list(list(name = "Newfoundland",
                    children = list(list(name = "St. John's"))),
               list(name = "PEI",
                    children = list(list(name = "Charlottetown"))),
               list(name = "Nova Scotia",
                    children = list(list(name = "Halifax"))),
               list(name = "New Brunswick",
                    children = list(list(name = "Fredericton"))),
               list(name = "Quebec",
                    children = list(list(name = "Montreal"),
                                    list(name = "Quebec City"))),
               list(name = "Ontario",
                    children = list(list(name = "Toronto"),
                                    list(name = "Ottawa"))),
               list(name = "Manitoba",
                    children = list(list(name = "Winnipeg"))),
               list(name = "Saskatchewan",
                    children = list(list(name = "Regina"))),
               list(name = "Nunavuet",
                    children = list(list(name = "Iqaluit"))),
               list(name = "NWT",
                    children = list(list(name = "Yellowknife"))),
               list(name = "Alberta",
                    children = list(list(name = "Edmonton"))),
               list(name = "British Columbia",
                    children = list(list(name = "Victoria"),
                                    list(name = "Vancouver"))),
               list(name = "Yukon",
                    children = list(list(name = "Whitehorse")))
))

# Visualize the tree
treeNetwork(List = CanadaPC, fontSize = 10)