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

Last updated: April 29,2024

1. Install "r-cran-parallelmap" package

This is a short guide on how to install r-cran-parallelmap on Ubuntu 20.10 (Groovy Gorilla)


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

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


    
        
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                sudo apt remove
            
                        
                r-cran-parallelmap
            
                    
    
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            $
        

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

Package: r-cran-parallelmap
Architecture: all
Version: 1.5.0-3build1
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: 167
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-bbmisc (>= 1.8), r-cran-checkmate (>= 1.8.0)
Recommends: r-cran-testthat, r-cran-batchjobs, r-cran-batchtools (>= 0.9.6), r-cran-rpart
Suggests: r-cran-data.table, r-cran-rmpi, r-cran-snow
Filename: pool/universe/r/r-cran-parallelmap/r-cran-parallelmap_1.5.0-3build1_all.deb
Size: 111372
MD5sum: f6f0294b9c650de82d545fe3847725a9
SHA1: 8f8ada5d2c6c616955b35af93f357618084f374b
SHA256: f5b39d7c0658e0f8b03affa4694ee0505f8dd54d0012c19e8875d91a8527677c
SHA512: e02736f9ffa6305bffffb322e7cbec31a9ba5f1bd926e128a8c7742e9540553a4070941058d73c10c556eab4cfdbeec215c94aa45efe729c6405d47dbaa7d5de
Homepage: https://cran.r-project.org/package=parallelMap
Description-en: GNU R unified interface to parallelization back-ends
Unified parallelization framework for multiple back-end,
designed for internal package and interactive usage.
The main operation is a parallel "map" over lists.
Supports local, multicore, mpi and BatchJobs mode.
Allows "tagging" of the parallel operation
with a level name that can be later selected by the user to
switch on parallel execution for exactly this operation.
Description-md5: d53466a710ea6362181229d908eecd3b