dendextend: Extending 'dendrogram' Functionality in R

Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.

Version: 1.13.4
Depends: R (≥ 3.0.0)
Imports: utils, stats, datasets, magrittr (≥ 1.0.1), ggplot2, viridis
Suggests: knitr, rmarkdown, testthat, seriation, colorspace, ape, microbenchmark, gplots, heatmaply, d3heatmap, dynamicTreeCut, pvclust, corrplot, DendSer, MASS, cluster, fpc, circlize (≥ 0.2.5), covr
Enhances: ggdendro, dendroextras, Hmisc, data.table, rpart
Published: 2020-02-28
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf), Samuel Perreault [ctb] (https://github.com/samperochkin), Christian Hennig [ctb] (http://www.homepages.ucl.ac.uk/~ucakche/), David Bradley [ctb] (https://github.com/DBradley27)
Maintainer: Tal Galili <tal.galili at gmail.com>
BugReports: https://github.com/talgalili/dendextend/issues
License: GPL-2 | GPL-3
URL: http://talgalili.github.io/dendextend/, https://github.com/talgalili/dendextend/, https://cran.r-project.org/package=dendextend, https://www.r-statistics.com/tag/dendextend/, https://academic.oup.com/bioinformatics/article/31/22/3718/240978/dendextend-an-R-package-for-visualizing-adjusting
NeedsCompilation: no
Citation: dendextend citation info
Materials: README NEWS ChangeLog
In views: Cluster, Phylogenetics
CRAN checks: dendextend results

Downloads:

Reference manual: dendextend.pdf
Vignettes: Hierarchical cluster analysis on famous data sets
Frequently asked questions
A quick introduction to dendextend (start here)
Introduction to dendextend
Package source: dendextend_1.13.4.tar.gz
Windows binaries: r-devel: dendextend_1.13.4.zip, r-release: dendextend_1.13.4.zip, r-oldrel: dendextend_1.13.4.zip
macOS binaries: r-release: dendextend_1.13.4.tgz, r-oldrel: dendextend_1.13.4.tgz
Old sources: dendextend archive

Reverse dependencies:

Reverse depends: EnsCat, PdPDB, uclust
Reverse imports: BasketballAnalyzeR, BiBitR, celda, CellTrails, ChAMP, CHETAH, CINNA, Cluster.OBeu, consensusDE, elaborator, factoextra, GeneTonic, GlobalAncova, GOpro, HCD, heatmaply, ldaPrototype, MAGeCKFlute, Mercator, MiRAnorm, Momocs, multiClust, Onassis, pRoloc, rabhit, rainette, seriation, ViSEAGO, YAPSA
Reverse suggests: celltrackR, circlize, cola, ComplexHeatmap, DatabionicSwarm, dbscan, FCPS, HMP16SData, IncDTW, isocat, kmer, packFinder, perfectphyloR, pergola, phylogram, plotly, rare, scGPS, sharpshootR, variancePartition

Linking:

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