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visClusteringOutliers

Network visualization clustering options - outliers


Description

Network visualization clustering options - outliers

Usage

visClusteringOutliers(graph, clusterFactor = 0.9, stabilize = FALSE)

Arguments

graph

: a visNetwork object

clusterFactor

: Number, from 0 to 1. 0.9 by default

stabilize

: Boolean, default to false

Examples

nodes <- data.frame(id = 1:10)
edges <- data.frame(from = c(1,1,10,2,6,7,8,9,10), 
                    to = c(2,3,4,5,2,5,6,7,9))

visNetwork(nodes, edges) %>%
 visClusteringOutliers(1)

visNetwork

Network Visualization using 'vis.js' Library

v2.0.9
MIT + file LICENSE
Authors
Almende B.V. [aut, cph] (vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home), Benoit Thieurmel [aut, cre] (R interface), Titouan Robert [aut, ctb]
Initial release

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