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

Last updated: November 26,2024

1. Install "r-cran-samr" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-samr
            
                    
    
    Copied


    
        
            $
        

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

Package: r-cran-samr
Architecture: amd64
Version: 3.0-1build1
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: 3987
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-bioc-impute, r-cran-matrixstats, r-cran-shiny, r-cran-shinyfiles, r-cran-openxlsx, r-cran-gsa, libc6 (>= 2.4)
Filename: pool/universe/r/r-cran-samr/r-cran-samr_3.0-1build1_amd64.deb
Size: 3884528
MD5sum: f176f76c2cb6a0811e833a874bd3f1de
SHA1: 72464608cdf55c0daac8059700496bb2f835476b
SHA256: abf14aff70b751631d3a9a82b5b78fdf39033fef540ba1656645db4197cdb4f3
SHA512: 8e041f643d9e4c7407cbf02a2d98b7e55364dc05846da31f06b751a732b378f5566e29d0d0ea924ebbdf9fb52471d4119a5bd903e3e2fc1462ac7e0179218ec0
Homepage: https://cran.r-project.org/package=samr
Description-en: GNU R significance analysis of microarrays
This GNU R package provides significance analysis of microarrays.
A microarray is a multiplex lab-on-a-chip. It is a 2D array on a solid
substrate (usually a glass slide or silicon thin-film cell) that assays
large amounts of biological material using high-throughput screening
miniaturized, multiplexed and parallel processing and detection methods.
.
This package helps analysing this kind of microarrays.
Description-md5: b70bdf02833d19f3a62039b4c16af62a