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

Last updated: November 26,2024

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

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall r-cran-future.apply on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-future.apply
            
                    
    
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            $
        

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

Package: r-cran-future.apply
Architecture: all
Version: 1.6.0-1
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: 226
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-future (>= 1.17.0), r-cran-globals (>= 0.12.5)
Suggests: r-cran-listenv (>= 0.8.0), r-cran-markdown
Filename: pool/universe/r/r-cran-future.apply/r-cran-future.apply_1.6.0-1_all.deb
Size: 143812
MD5sum: 619b70860a0eefc1f4a1d0f224aef071
SHA1: 1e3ba4bde84ed818360f5eb484fee9b3551c237b
SHA256: 3856f236475be19247aa6a98f8262105371e0ed9362852880d5df896d0f82bd9
SHA512: 9436640b65bf5fbf2c172f141ba6f696e51e43af450cb7e92f0eb296c092e4c2b0f46f1b22127e97fc315ed8528bfd318538f3619707e0d09954476f3eeead00
Homepage: https://cran.r-project.org/package=future.apply
Description-en: apply function to elements in parallel using futures
Implementations of apply(), by(), eapply(), lapply(), Map(), mapply(),
replicate(), sapply(), tapply(), and vapply() that can be resolved using
any future-supported backend, e.g. parallel on the local machine or
distributed on a compute cluster. These future_*apply() functions come
with the same pros and cons as the corresponding base-R *apply()
functions but with the additional feature of being able to be processed
via the future framework.
Description-md5: bccf1fa10be048414b8db6c658ec6761