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

Last updated: April 29,2024

1. Install "r-cran-matrixstats" package

Please follow the instructions below to install r-cran-matrixstats on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-matrixstats
            
                    
    
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2. Uninstall "r-cran-matrixstats" package

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


    
        
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                sudo apt remove
            
                        
                r-cran-matrixstats
            
                    
    
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            $
        

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

Package: r-cran-matrixstats
Architecture: amd64
Version: 0.56.0-1build1
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: 2908
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.14)
Recommends: r-cran-runit
Suggests: r-cran-base64enc, r-cran-ggplot2, r-cran-knitr
Filename: pool/universe/r/r-cran-matrixstats/r-cran-matrixstats_0.56.0-1build1_amd64.deb
Size: 656796
MD5sum: c19509ca4e4f2bf914e19fb048b684d6
SHA1: 1ec98ba276a9eb0c5144b7134f12208ffa985f3a
SHA256: 9eafc1d9cdd6b426ff69d9e53833bd7720b79bce91051f848669dd5cd68b0f70
SHA512: 31f8f5a8db296aa3760d9c8bdbd4c3ea3679df083c5da04bf19adb2979036304789fba65f825726dcf261897f3b65f0b86051635e57ad37dd68b281a1c49086b
Homepage: https://cran.r-project.org/package=matrixStats
Description-en: GNU R methods that apply to rows and columns of a matrix
This package provides methods operating on rows and columns of
matrices, e.g. col/rowMedians() and col/rowRanks(). There are also some
vector-based methods, e.g. anyMissing(), weightedMedians(), and
binMeans(). The objective is to have all methods being optimized for
speed and memory usage.
Description-md5: 44222dd849b86f5c846ce61e22cae232