Package: neatmaps 2.1.1

neatmaps: Heatmaps for Multiple Network Data

Simplify the exploratory data analysis process for multiple network data sets with the help of hierarchical clustering, consensus clustering and heatmaps. Multiple network data consists of multiple disjoint networks that have common variables (e.g. ego networks). This package contains the necessary tools for exploring such data, from the data pre-processing stage to the creation of dynamic visualizations.

Authors:Philippe Boileau [aut, cre]

neatmaps_2.1.1.tar.gz
neatmaps_2.1.1.zip(r-4.7)neatmaps_2.1.1.zip(r-4.6)neatmaps_2.1.1.zip(r-4.5)
neatmaps_2.1.1.tgz(r-4.6-any)neatmaps_2.1.1.tgz(r-4.5-any)
neatmaps_2.1.1.tar.gz(r-4.7-any)neatmaps_2.1.1.tar.gz(r-4.6-any)
neatmaps_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
neatmaps/json (API)

# Install 'neatmaps' in R:
install.packages('neatmaps', repos = c('https://philboileau.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/philboileau/neatmaps/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 7 scripts 206 downloads 6 exports 99 dependencies

Last updated from:7ad690dd21. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK177
source / vignettesOK204
linux-release-x86_64OK215
macos-release-arm64OK163
macos-oldrel-arm64OK207
windows-develOK173
windows-releaseOK126
windows-oldrelOK103
wasm-releaseOK186

Exports:consClustResTableconsensusChangeECDFconsensusECDFconsensusMapneatmapnetsDataFrame

Dependencies:ALLaskpassassertthatbase64encBiobaseBiocGenericsbslibcacachemcallrcliclustercodetoolscolorspaceConsensusClusterPluscpp11crosstalkcurldata.tabledendextenddigestdplyreggevaluatefarverfastmapfontawesomeforeachfsgclusgenericsggplot2gluegridExtragtableheatmaplyhighrhtmltoolshtmlwidgetshttrigraphisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimenlmeopensslotelpermutepillarpkgconfigplotlyplyrprocessxpromisespspurrrqapR6rappdirsRColorBrewerRcppregistryreshape2rlangrmarkdownS7sassscalesseriationstringistringrsystibbletidyrtidyselecttinytexTSPutf8vctrsveganviridisviridisLitewebshotwithrxfunyaml