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

Last updated: May 14,2024

1. Install "r-cran-future.batchtools" package

Learn how to install r-cran-future.batchtools on Ubuntu 20.10 (Groovy Gorilla)


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

This guide let you learn how to uninstall r-cran-future.batchtools on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-future.batchtools
            
                    
    
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            $
        

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

Package: r-cran-future.batchtools
Architecture: all
Version: 0.9.0+dfsg-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: 236
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-future (>= 1.14.0), r-cran-batchtools (>= 0.9.11)
Suggests: r-cran-future.apply, r-cran-listenv, r-cran-markdown, gridengine-client, slurm-client
Filename: pool/universe/r/r-cran-future.batchtools/r-cran-future.batchtools_0.9.0+dfsg-2build1_all.deb
Size: 128812
MD5sum: eaf600192c58d5729f5bac25f96ef2e5
SHA1: d3fc1d8a821f40d90839beea86994c25ccf32c00
SHA256: cf51202342fa2078ce55514096baff6f0c54fd4947c8ea97c0d822ee3a0166ae
SHA512: c5dcfba32d7ef687427568cd55a53369e2c6a7e94ac6bf9ca60187a02b50713739fd7b3d05e803c5e5dbfc8d21126b01912a04832689ce062d5ff9d37e3e4609
Homepage: https://cran.r-project.org/package=future.batchtools
Description-en: Future API for Parallel and Distributed Processing
Implementation of the Future API on top of the 'batchtools' package.
This allows you to process futures, as defined by the 'future' package,
in parallel out of the box, not only on your local machine or ad-hoc
cluster of machines, but also via high-performance compute ('HPC') job
schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS',
e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
Description-md5: a1812134e768ffa7f08bd46a9d4d1f2f