heatmaply: Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'

Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' to 'heatmap.2' with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'.

Version: 1.5.0
Depends: R (≥ 3.0.0), plotly (≥ 4.7.1), viridis
Imports: ggplot2 (≥ 2.2.0), dendextend (≥ 1.12.0), magrittr (≥ 1.0.1), reshape2, scales, seriation, utils, stats, grDevices, methods, colorspace, RColorBrewer, htmlwidgets, webshot, assertthat, egg
Suggests: knitr, covr, gplots, tidyselect, rmarkdown, testthat
Published: 2023-10-06
DOI: 10.32614/CRAN.package.heatmaply
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Alan O'Callaghan [aut] (https://github.com/Alanocallaghan), Jonathan Sidi [ctb] (https://github.com/yonicd), Jaehyun Joo [ctb] (https://github.com/jaehyunjoo), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili at gmail.com>
BugReports: https://github.com/talgalili/heatmaply/issues
License: GPL-2 | GPL-3
URL: https://talgalili.github.io/heatmaply/, https://cran.r-project.org/package=heatmaply, https://github.com/talgalili/heatmaply/, https://www.r-statistics.com/tag/heatmaply/
NeedsCompilation: no
Citation: heatmaply citation info
Materials: README NEWS ChangeLog
CRAN checks: heatmaply results


Reference manual: heatmaply.pdf
Vignettes: Introduction to heatmaply


Package source: heatmaply_1.5.0.tar.gz
Windows binaries: r-devel: heatmaply_1.5.0.zip, r-release: heatmaply_1.5.0.zip, r-oldrel: heatmaply_1.5.0.zip
macOS binaries: r-release (arm64): heatmaply_1.5.0.tgz, r-oldrel (arm64): heatmaply_1.5.0.tgz, r-release (x86_64): heatmaply_1.5.0.tgz, r-oldrel (x86_64): heatmaply_1.5.0.tgz
Old sources: heatmaply archive

Reverse dependencies:

Reverse depends: shinyHeatmaply
Reverse imports: amerifluxr, BayesianNetwork, CALANGO, dar, debrowser, DegNorm, DiscoRhythm, GaMaBioMD, GEOexplorer, ideal, latentcor, metaseqR2, microbiomeExplorer, MiMIR, neatmaps, OUTRIDER, pcaExplorer, qmtools, rnmamod, scTensor, shinyepico, SpliceWiz, ViSEAGO, wilson
Reverse suggests: CNVScope, dendextend, protti, rcellminer, rrvgo


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