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

Last updated: December 28,2024

1. Install "r-cran-ksamples" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Here is a brief guide to show you how to uninstall r-cran-ksamples on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-ksamples
            
                    
    
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            $
        

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

Package: r-cran-ksamples
Architecture: amd64
Version: 1.2-9-2
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: 297
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-suppdists, libc6 (>= 2.4)
Filename: pool/universe/r/r-cran-ksamples/r-cran-ksamples_1.2-9-2_amd64.deb
Size: 248256
MD5sum: a81713d12f4082f8fd26c6bc9f7215b6
SHA1: 7b3e5f3da80366e2e17feff87cd297e22597092f
SHA256: b79eab83480268d120c27a5bb01e708317907218b3bc507ea98bd11e3c8390e9
SHA512: 400d4a9aea553933ec3e0c7730c276b28fed826c43aba5cdfa0585af8acbfcaf9eb15f7d3764feff29721ad8c4cbbd1349f0d35f29adea147c9a86ee1d4ca0e9
Homepage: https://cran.r-project.org/package=kSamples
Description-en: GNU R K-Sample Rank Tests and their Combinations
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type
tests with different rank score criteria, Steel's multiple comparison
test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic,
simulated or (limited) exact P-values, all valid under randomization,
with or without ties, or conditionally under random sampling from
populations, given the observed tie pattern. Except for Steel's test and
the JT test it also combines these tests across several blocks of
samples. Also analyzed are 2 x t contingency tables and their blocked
combinations using the Kruskal-Wallis criterion. Steel's test is
inverted to provide simultaneous confidence bounds for shift parameters.
A plotting function compares tail probabilities obtained under
asymptotic approximation with those obtained via simulation or exact
calculations.
Description-md5: 789412d6bf5a42be435f16fc239d1c9d