How to Install and Uninstall r-cran-reshape2 Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "r-cran-reshape2" package

In this section, we are going to explain the necessary steps to install r-cran-reshape2 on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-reshape2
            
                    
    
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2. Uninstall "r-cran-reshape2" package

Please follow the instructions below to uninstall r-cran-reshape2 on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-reshape2
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-reshape2 package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-reshape2
Architecture: amd64
Version: 1.4.4-2build1
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: 231
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-plyr (>= 1.8.1), r-cran-rcpp, r-cran-stringr, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat (>= 0.8.0)
Suggests: r-cran-covr, r-cran-lattice
Filename: pool/universe/r/r-cran-reshape2/r-cran-reshape2_1.4.4-2build1_amd64.deb
Size: 114112
MD5sum: 788536b4c2004a4ea2499b6e88861e6b
SHA1: 0a8f5984075d841cb5143d7fc2da944cabdafbb4
SHA256: 7fe10ff3bcd8d49deac837249af13cd42ac37f2364f8c9e5ddcea4303edb638b
SHA512: 7a14b349e6d0fa24a93b8a32e96ca509d79f1465e50199976ae803d1158df9dcc6c0cb66616921d2da0017054a475ae1224c065247d2b01fcdee3f025c5abc12
Homepage: https://cran.r-project.org/package=reshape2
Description-en: Flexibly reshape data: a reboot of the reshape package
Reshape lets you flexibly restructure and aggregate data using just two
functions: melt and cast.
.
Reshape (hopefully) makes it easy to do what you have been struggling
to do with tapply, by, aggregate, xtabs, apply and summarise. It is also
useful for getting your data into the correct structure for lattice or
ggplot plots.
Description-md5: ca2876672d15e5b86a9be2564ae3d193