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

Last updated: November 22,2024

1. Install "r-cran-labeling" package

Learn how to install r-cran-labeling on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-labeling
            
                    
    
    Copied

2. Uninstall "r-cran-labeling" package

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


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-labeling
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-labeling package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-labeling
Architecture: all
Version: 0.3-4build1
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: 90
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-labeling/r-cran-labeling_0.3-4build1_all.deb
Size: 62264
MD5sum: b596fe0839a4ff99aa274e0b01037eb7
SHA1: bc9d6d847324785e6b3798290450785d08da3ea6
SHA256: 4c8f7cfcdcf11b8a2ce53c4bf41775a0a0367656e074b2e8be4907806d90f048
SHA512: 76493eba4fce45e669bb2acce406106b129997bd788f82e0da527d48db6e21eb698cb1b6673032ecd61071cb11a4dc57c435984820fbeb525c5382b7a8fdb5ea
Homepage: https://cran.r-project.org/package=labeling
Description-en: GNU R Axis Labeling optimization
This system extends Wilkinsons optimization-based labeling approach to create
a more robust, full-featured axis labeler.
Description-md5: 74a4c96f8b2a138ac46137cd0e880dde