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

Last updated: December 25,2024

1. Install "r-cran-misctools" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-misctools
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: r-cran-misctools
Architecture: all
Version: 0.6-26-2build1
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: 151
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-digest
Recommends: r-cran-runit
Filename: pool/universe/r/r-cran-misctools/r-cran-misctools_0.6-26-2build1_all.deb
Size: 97860
MD5sum: 01f69f87eed2d508bb0a41f10c7054bd
SHA1: 6640b0e3d503e3c9d7b7e1f9d6f5121909b44d6f
SHA256: 2f83842aa9dc3dc4d99c7a7b186220ada96667dc491332aa80401e627a18c3c8
SHA512: 81ea7d31e39561aa5960549c97973e60d49950663545d087710904b15519e6cf8209e61785e3cee71523e7685808c8ecbf40b7f90e72b280cd623cbe2f5941ba
Homepage: https://cran.r-project.org/package=miscTools
Description-en: GNU R miscellaneous tools and utilities
Many of them facilitate the work with matrices, e.g. inserting rows or
columns, creating symmetric matrices, or checking for semidefiniteness. Other
tools facilitate the work with regression models, e.g. extracting the standard
errors, obtaining the number of (estimated) parameters, or calculating
R-squared values.
Description-md5: 24e61da31fab0b72a93af8a1ad823f5f