How to Install and Uninstall r-cran-nozzle.r1 Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "r-cran-nozzle.r1" package

This is a short guide on how to install r-cran-nozzle.r1 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-nozzle.r1
            
                    
    
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2. Uninstall "r-cran-nozzle.r1" package

This guide covers the steps necessary to uninstall r-cran-nozzle.r1 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-nozzle.r1
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-nozzle.r1 package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-nozzle.r1
Architecture: all
Version: 1.1-1+dfsg-4build1
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: 467
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libjs-jquery, libjs-jquery-tablesorter
Filename: pool/universe/r/r-cran-nozzle.r1/r-cran-nozzle.r1_1.1-1+dfsg-4build1_all.deb
Size: 310372
MD5sum: 686f9a7d785bfaa3ec48185ffc3c5867
SHA1: 7df4b62388f3c3a7709c392b96018b849202760c
SHA256: c8f37c0d34a9c2ca97285c90548fa3615c6b95b36ef61cf0e97a9884e9629186
SHA512: 355f36d5f7ccd5ddfab39ca2157d1a97a37cd3dfa9e4615e91d45199ce3ea2ceac3d67f748ce55d8a0531764bfc35e5eae8cc34861ae72415170fde453a4a2a0
Homepage: https://cran.r-project.org/package=Nozzle.R1
Description-en: GNU R nozzle reports
The Nozzle package provides an API to generate HTML
reports with dynamic user interface elements based on
JavaScript and CSS (Cascading Style Sheets). Nozzle was
designed to facilitate summarization and rapid browsing of
complex results in data analysis pipelines where multiple
analyses are performed frequently on big data sets. The package
can be applied to any project where user-friendly reports need
to be created.
Description-md5: 6f9973fa2f0efc47264ff6fcb58d20b9