How to Install and Uninstall r-cran-heatmaply Package on Kali Linux

Last updated: May 07,2024

1. Install "r-cran-heatmaply" package

Please follow the guidelines below to install r-cran-heatmaply on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-heatmaply
            
                    
    
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2. Uninstall "r-cran-heatmaply" package

Here is a brief guide to show you how to uninstall r-cran-heatmaply on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-heatmaply
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-heatmaply package on Kali Linux

Package: r-cran-heatmaply
Version: 1.5.0+dfsg-1
Installed-Size: 453
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: 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-knitr, r-cran-covr, r-cran-gplots, r-cran-tidyselect, r-cran-rmarkdown, r-cran-testthat
Size: 306872
SHA256: 60b06a6dda765ff4a8ea7fe4ea02a516a5fe8f6d3a6a4a63ce097430857076f8
SHA1: 9961dd60e6b8c29a238b532ac58f0923f544ec68
MD5sum: 42466eebe9893b74169759860b241b9b
Description: 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:
Homepage: https://cran.r-project.org/package=heatmaply
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-heatmaply/r-cran-heatmaply_1.5.0+dfsg-1_all.deb