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

Last updated: November 26,2024

1. Install "r-cran-dslabs" package

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


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                r-cran-dslabs
            
                    
    
    Copied

2. Uninstall "r-cran-dslabs" package

This is a short guide on how to uninstall r-cran-dslabs on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                r-cran-dslabs
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-dslabs
Architecture: all
Version: 0.7.3-2
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: 4973
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-ggplot2
Filename: pool/universe/r/r-cran-dslabs/r-cran-dslabs_0.7.3-2_all.deb
Size: 4651448
MD5sum: 64150bc1ce706608a8211c7236ea2328
SHA1: ed0547530591006f9759bd0a228fbecb55aa067d
SHA256: 91936d76d46758d7adb4977798f5eb8c92bbbec118d90fa535717a50391d4ded
SHA512: ce8f8740c79d46660fc167e8d77128ab591e235bcd4d8fb1cf319ed6cb9cd8af7971ee47ebfbbc0f2ee809adf82c941b7aeccba61a8c254eb068b48704df83a3
Homepage: https://cran.r-project.org/package=dslabs
Description-en: GNU R Data Science Labs
Datasets and functions that can be used for data analysis practice,
homework and projects in data science courses and workshops. 26
datasets are available for case studies in data visualization,
statistical inference, modeling, linear regression, data wrangling and
machine learning.
Description-md5: 8caaa76069f06711786f47b16d796a02