Simplify the exploratory data analysis process for multiple network data sets with the help of hierarchical clustering and heatmaps. Multiple network data consists of multiple disjoint networks that share common graph, node and edge variables. Contains the tools necessary to convert this raw data into a single dynamic report, summarizing the relationships of the graph, node and structural characteristics of the networks.
Version: | 1.0.7 |
Depends: | R (≥ 3.4.0) |
Imports: | igraph, heatmaply, pvclust, ggplot2, dendextend |
Published: | 2017-12-17 |
Author: | Phil Boileau [aut, cre] |
Maintainer: | Phil Boileau <philippe.boileau at mail.concordia.ca> |
License: | MIT + file LICENSE |
URL: | https://github.com/PhilBoileau/neatmaps |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | neatmaps results |
Reference manual: | neatmaps.pdf |
Package source: | neatmaps_1.0.7.tar.gz |
Windows binaries: | r-devel: neatmaps_1.0.7.zip, r-release: neatmaps_1.0.7.zip, r-oldrel: not available |
OS X El Capitan binaries: | r-release: neatmaps_1.0.7.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
Old sources: | neatmaps archive |
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