dendextend (1.5.2)

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Extending 'Dendrogram' Functionality in R.

https://cran.r-project.org/package=dendextend
https://github.com/talgalili/dendextend/
https://www.r-statistics.com/tag/dendextend/
https://bioinformatics.oxfordjournals.org/content/31/22/3718
http://cran.r-project.org/web/packages/dendextend

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.

Maintainer: Tal Galili
Author(s): Tal Galili [aut, cre, cph] (https://www.r-statistics.com), 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), Yoav Benjamini [ths]

License: GPL-2 | GPL-3

Uses: fpc, ggplot2, magrittr, viridis, whisker, cluster, colorspace, gplots, pvclust, seriation, ape, dynamicTreeCut, plyr, MASS, profdpm, testthat, NMF, corrplot, microbenchmark, knitr, DendSer, circlize, rmarkdown, covr, d3heatmap, heatmaply
Enhances: data.table, dendroextras, ggdendro, Hmisc, labeltodendro, rpart
Reverse depends: dendextendRcpp, EnsCat
Reverse suggests: circlize, CluMix, dbscan, pergola, plotly, propr, Rnightlights

Released 5 months ago.


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Related packages: idendr0, AdMit, amap, bayesm, bayesmix, biclust, cba, cclust, CHsharp, clue, cluster, clusterfly, clusterGeneration, clusterRepro, clusterSim, clustvarsel, clv, clValid, compHclust, depmix(20 best matches, based on common tags.)


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Visit dendextend on R Graphical Manual.