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

Last updated: November 25,2024

1. Install "r-cran-pbmcapply" package

Here is a brief guide to show you how to install r-cran-pbmcapply on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-pbmcapply
            
                    
    
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            $
        

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

Package: r-cran-pbmcapply
Architecture: amd64
Version: 1.5.0-1build1
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: 85
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.2.5)
Filename: pool/universe/r/r-cran-pbmcapply/r-cran-pbmcapply_1.5.0-1build1_amd64.deb
Size: 41628
MD5sum: c606b4bf718b99405f0067138a67832a
SHA1: 9d4a0a6906848b3446c3cdcfa786c3bcad831888
SHA256: af44bd7e14d0a5248c65f7148a444489bf1eaf24664956296a561b07a294800f
SHA512: 3dea27195f01bf3deae59dcabb51194bb5fe827e18e478dcb9cf1d4129b624b03cb46668ef3e9cfc2cbdfc4f82a547575a04034a4c756399ada254b66111adfe
Homepage: https://cran.r-project.org/package=pbmcapply
Description-en: GNU R tracking the progress of Mc*pply with progress bar
This light-weight GNU R package helps you track and visualize the
progress of parallel version of vectorized R functions (mc*apply).
Parallelization (mc.core > 1) works only on *nix systems providing
the fork() functionality.
Description-md5: 73d3f00c0a3b0ea564f4e5b714196d69