Pure set data visualization approaches are often limited in scalability due to the combinatorial explosion of distinct set families as the number of sets under investigation increases. hierarchicalSets applies a set centric hierarchical clustering of the sets under investigation and uses this hierarchy as a basis for a range of scalable visual representations. hierarchicalSets is especially well suited for collections of sets that describe comparable comparable entities as it relies on the sets to have a meaningful relational structure.
|Depends:||R (≥ 3.2.0)|
|Imports:||ggdendro, ggplot2 (≥ 2.0.0), stats, Rcpp, scales, Matrix, MASS, RColorBrewer, gtable, grDevices, methods, utils|
|Author:||Thomas Lin Pedersen|
|Maintainer:||Thomas Lin Pedersen <thomasp85 at gmail.com>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||hierarchicalSets results|
|Windows binaries:||r-devel: hierarchicalSets_1.0.2.zip, r-release: hierarchicalSets_1.0.2.zip, r-oldrel: hierarchicalSets_1.0.2.zip|
|OS X El Capitan binaries:||r-release: hierarchicalSets_1.0.2.tgz|
|OS X Mavericks binaries:||r-oldrel: hierarchicalSets_1.0.2.tgz|
|Old sources:||hierarchicalSets archive|
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