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

Last updated: November 25,2024

1. Install "r-cran-aweek" package

This guide covers the steps necessary to install r-cran-aweek on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the step by step instructions below to uninstall r-cran-aweek on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-aweek
Architecture: all
Version: 1.0.1-2
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: 220
Depends: r-base-core (>= 4.0.1-1), r-api-4.0
Recommends: r-cran-testthat
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-covr
Filename: pool/universe/r/r-cran-aweek/r-cran-aweek_1.0.1-2_all.deb
Size: 97940
MD5sum: 64247f803618be10362c9dc42664e29b
SHA1: 9119119095bc5036311575d883459b1e7fb4ca38
SHA256: 21468715033bbc6049790ce2e04146060cc6f47705fe42d4ca6eff6332be7228
SHA512: 3d9f50623f2949e8912c14ef97b7b2c1d7a34142c65e5275962d5573f69ef7589852e58f33cb730eab92ec8e0bea44d0c828c13421b0e7b3771b0baca56cff93
Homepage: https://cran.r-project.org/package=aweek
Description-en: GNU R convert dates to arbitrary week definitions
Which day a week starts depends heavily on the either the local or
professional context. This package is designed to be a lightweight solution
to easily switching between week-based date definitions.
Description-md5: 2e4febc5840bb667609dccbd627989ad