dendextend website (built using pkgdown)
Table of contents:
Class “dendrogram” provides general functions for handling tree-like structures in R. It is intended as a replacement for similar functions in hierarchical clustering and classification/regression trees, such that all of these can use the same engine for plotting or cutting trees.
However, many basic features are still missing from the dendrogram class. This package aims at filling in some gaps.
The dendextend package extending R core dendrogram functions.
To install and load dendextend, simply use:
install.packages('dendextend') # stable CRAN version
library("dendextend") # load the package
Vignettes:
Also ceck out the dendextend tag in stackoverflow for more examples.
A notable sister package for dendextend is heatmaply for creating interactive cluster heatmaps using R (combining dendextend and plotly).
Please post your question to stackoverflow using the tags: dendextend and r.
The methods within the code package can be cited as:
Tal Galili (2015). dendextend: an R package for visualizing, adjusting, and comparing trees of
hierarchical clustering. Bioinformatics. DOI: 10.1093/bioinformatics/btv428
A BibTeX entry for LaTeX users is
@Article{,
author = {Tal Galili},
title = {dendextend: an R package for visualizing, adjusting, and comparing trees of hierarchical clustering},
journal = {Bioinformatics},
year = {2015},
doi = {10.1093/bioinformatics/btv428},
url = {https://doi.org/10.1093/bioinformatics/btv428},
eprint = {https://academic.oup.com/bioinformatics/article-pdf/31/22/3718/17122682/btv428.pdf},
}
This free open-source software implements academic research by the authors and co-workers. If you use it, please support the project by citing the appropriate journal articles.
You are welcome to:
Before reporting bugs, please make sure you’re using the latest version from github:
.2 <- function (pkg) {
install.packagesif (!require(pkg, character.only = TRUE))
install.packages(pkg, character.only = TRUE)
}install.packages('remotes')
::install_github('talgalili/dendextend')
remotes
# Having colorspace is also useful, since it is used
# In various examples in the vignettes
install.packages.2('colorspace')
You can see the most recent changes to the package in the NEWS.md file
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.