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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.
Version: | 1.0.4 |
Depends: | R (≥ 3.2.0) |
Imports: | ggdendro, ggplot2 (≥ 2.2.0), stats, Rcpp, scales, Matrix, MASS, RColorBrewer, gtable, grDevices, methods, utils, viridis, patchwork |
LinkingTo: | Rcpp |
Published: | 2023-04-24 |
DOI: | 10.32614/CRAN.package.hierarchicalSets |
Author: | Thomas Lin Pedersen |
Maintainer: | Thomas Lin Pedersen <thomasp85 at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | hierarchicalSets results |
Reference manual: | hierarchicalSets.pdf |
Package source: | hierarchicalSets_1.0.4.tar.gz |
Windows binaries: | r-devel: hierarchicalSets_1.0.4.zip, r-release: hierarchicalSets_1.0.4.zip, r-oldrel: hierarchicalSets_1.0.4.zip |
macOS binaries: | r-release (arm64): hierarchicalSets_1.0.4.tgz, r-oldrel (arm64): hierarchicalSets_1.0.4.tgz, r-release (x86_64): hierarchicalSets_1.0.4.tgz, r-oldrel (x86_64): hierarchicalSets_1.0.4.tgz |
Old sources: | hierarchicalSets archive |
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