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

Last updated: May 02,2024

1. Install "r-cran-multcompview" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


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

Package: r-cran-multcompview
Architecture: all
Version: 0.1-8-2build1
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: 144
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Suggests: r-cran-multcomp, r-cran-mass
Filename: pool/universe/r/r-cran-multcompview/r-cran-multcompview_0.1-8-2build1_all.deb
Size: 116464
MD5sum: d8eade058b98bab3c9abb0315fdbeb96
SHA1: b8395cc4d9e4f96e171802ccfa6d71f22b233976
SHA256: d17085e202ee8c1dd524a982610b3522acf1bd2a46f123b25df1613854e9d4ae
SHA512: 89e364d06ec0a2034a537ffdfe093d463fc85dbac58bd63f709daa310f14b1463d5c25479612ccc8c588508888e1e0acac7f9843683f988b6a4e7619b07feae4
Homepage: https://cran.r-project.org/package=multcompView
Description-en: GNU R visualizations of paired comparisons
Convert a logical vector or a vector of p-values or a correlation,
difference, or distance matrix into a display identifying the pairs
for which the differences were not significantly different.
Designed for use in conjunction with the output of functions like
TukeyHSD, dist{stats}, simint, simtest, csimint, csimtest{multcomp},
friedmanmc, kruskalmc{pgirmess}.
Description-md5: 4343d0dee5300cf465b59a0ad71a4db4