How to Install and Uninstall r-cran-heatmaply Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 07,2024

1. Install "r-cran-heatmaply" package

Here is a brief guide to show you how to install r-cran-heatmaply on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-heatmaply

2. Uninstall "r-cran-heatmaply" package

This tutorial shows how to uninstall r-cran-heatmaply on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-heatmaply $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-heatmaply package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-heatmaply
Architecture: all
Version: 1.1.0+dfsg-2build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 414
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-plotly (>= 4.7.1), r-cran-viridis, r-cran-ggplot2 (>= 2.2.0), r-cran-dendextend (>= 1.12.0), r-cran-magrittr (>= 1.0.1), r-cran-reshape2, r-cran-scales, r-cran-seriation, r-cran-colorspace, r-cran-rcolorbrewer, r-cran-htmlwidgets, r-cran-webshot, r-cran-assertthat, r-cran-egg
Recommends: r-cran-testthat
Suggests: r-cran-knitr, r-cran-covr, r-cran-gplots, r-cran-tidyselect, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-heatmaply/r-cran-heatmaply_1.1.0+dfsg-2build1_all.deb
Size: 268716
MD5sum: 6221c185c4024e423622c11be0742dee
SHA1: 0e59f0c00891485b8c5bb72f90165dcac5a6d939
SHA256: 120d5f9f47c226b77c6a197dfea40c55a8136622289a8999f0664d1e44e75399
SHA512: a89bc66c47c6d037a26539aeca734d20dbfcf22a9d070f55f16fd252dc497754cd07c587553e90cfb70442f995ee44d3d3d6213db64af806c1d702f1e5dbbc15
Homepage: https://cran.r-project.org/package=heatmaply
Description-en: GNU R interactive cluster heat maps using 'plotly'
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' as 'heatmap.2' or 'd3heatmap', 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'.
Description-md5: 9012bff29d3b6fc41cee5dee042f11ff