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

Last updated: December 23,2024

1. Install "r-cran-rockchalk" package

This tutorial shows how to install r-cran-rockchalk on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Learn how to uninstall r-cran-rockchalk on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-rockchalk
            
                    
    
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            $
        

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

Package: r-cran-rockchalk
Architecture: all
Version: 1.8.144+dfsg-3build1
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: 2656
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lme4, r-cran-cardata, r-cran-mass, r-cran-kutils
Suggests: r-cran-hmisc, r-cran-car
Filename: pool/universe/r/r-cran-rockchalk/r-cran-rockchalk_1.8.144+dfsg-3build1_all.deb
Size: 2265852
MD5sum: df6ba9df41c62ecda8ac7a17a756ff2b
SHA1: c3270658dedbe23f8a5b846c67c86693c3a3724e
SHA256: 04a5082f81ba3f111aee3f0e6f5b05ee28d28a7881b1f4e67d6fba75e402cc82
SHA512: e471a6ea5431efffe816b51d92bcb9c37bb5b86339d4944852959a04a92d861cbd2b3d697fde9f1bc02ddbcf907ed6a210449639a7478df7ffe87b6a688d43b5
Homepage: https://cran.r-project.org/package=rockchalk
Description-en: GNU R regression estimation and presentation
A collection of functions for interpretation and presentation
of regression analysis. These functions are used
to produce the statistics lectures in
. Includes regression
diagnostics, regression tables, and plots of interactions and
"moderator" variables. The emphasis is on "mean-centered" and
"residual-centered" predictors. The vignette 'rockchalk' offers a
fairly comprehensive overview. The vignette 'Rstyle' has advice
about coding in R. The package title 'rockchalk' refers to the
school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Description-md5: 830c04467dcac8551cfaa6964a5703d7