How to Install and Uninstall r-cran-kutils Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "r-cran-kutils" package

This tutorial shows how to install r-cran-kutils on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-kutils
            
                    
    
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2. Uninstall "r-cran-kutils" package

This guide let you learn how to uninstall r-cran-kutils on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-kutils
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-kutils package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-kutils
Architecture: all
Version: 1.70+dfsg-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: 1139
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-foreign, r-cran-xtable, r-cran-plyr, r-cran-openxlsx, r-cran-runit
Suggests: r-cran-rockchalk
Filename: pool/universe/r/r-cran-kutils/r-cran-kutils_1.70+dfsg-2build1_all.deb
Size: 712772
MD5sum: 7ff989c158503fe9883fb019e52c5098
SHA1: f3e534a98d04198cfd04262c7fe0ddae52ea0188
SHA256: f39e3638d67977252a04e0f1f59eae64a1adde38289e03f45139dfca2030498f
SHA512: 7b510bd095a03f16aba22b34a777deba6ed7ee33e4ed935932b0768d85a5ecd31b04d7d8307641148530cc8dab540afdbf1ab7bfdb1e77f92daf999cc1cd934f
Homepage: https://cran.r-project.org/package=kutils
Description-en: GNU R project management tools
Tools for data importation, recoding, and inspection that
are used at the University of Kansas Center for Research Methods
and Data Analysis. There are functions to create new project
folders, R code templates, create uniquely named output
directories, and to quickly obtain a visual summary for each
variable in a data frame. The main feature here is the systematic
implementation of the "variable key" framework for data
importation and recoding.
Description-md5: ee65f27db613d1951122eac52f87f02f