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

Last updated: May 18,2024

1. Install "r-cran-circlize" package

This guide let you learn how to install r-cran-circlize on Ubuntu 20.10 (Groovy Gorilla)


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

This guide covers the steps necessary to uninstall r-cran-circlize on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-circlize
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-circlize package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-circlize
Architecture: all
Version: 0.4.10-1
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: 3336
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-globaloptions (>= 0.1.2), r-cran-shape, r-cran-colorspace
Suggests: r-cran-knitr, r-cran-dendextend (>= 1.0.1), r-cran-gridbase, r-cran-png
Filename: pool/universe/r/r-cran-circlize/r-cran-circlize_0.4.10-1_all.deb
Size: 3146848
MD5sum: 9d1051c6dfd483f46ad90d20b7ed7f60
SHA1: 46f8957da5ce536473f1859a657ee44f237e80e9
SHA256: 66568edccede371e8b4981ee9d84587bbeac4307c017634f35de2e1286f61718
SHA512: 77709672d0c808a8bf23b945801e0d1182caccca8f79b9e6f654854fce4d5d283258ff13c1c8cefee86410d57e8186790df8d6b54b4acc2009c547e141ff2d46
Homepage: https://cran.r-project.org/package=circlize
Description-en: Circular Visualization
Circular layout is an efficient way for the visualization of huge
amounts of information. Here this package provides an implementation
of circular layout generation in R as well as an enhancement of available
software. The flexibility of the package is based on the usage of low-level
graphics functions such that self-defined high-level graphics can be easily
implemented by users for specific purposes. Together with the seamless
connection between the powerful computational and visual environment in R,
it gives users more convenience and freedom to design figures for
better understanding complex patterns behind multiple dimensional data.
Description-md5: 5f14e4adddc573f367dcef27b4be25cc