How to Install and Uninstall r-other-amsmercury Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: September 20,2024

1. Install "r-other-amsmercury" package

This guide covers the steps necessary to install r-other-amsmercury on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-other-amsmercury
            
                    
    
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2. Uninstall "r-other-amsmercury" package

In this section, we are going to explain the necessary steps to uninstall r-other-amsmercury on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-other-amsmercury
Architecture: amd64
Version: 1.3.0-3build2
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: 62
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.1.1), r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-other-amsmercury/r-other-amsmercury_1.3.0-3build2_amd64.deb
Size: 16248
MD5sum: cafc0cf2abb185d87c32703fad8af272
SHA1: 0cc063210724a95b5c31bd77c51132a88c251a16
SHA256: 79652dcb37da77fed0011880af3d26e624a37270cb6611575fff7b0fe800cce8
SHA512: 0325c215489bfb6ae41236222e3909a507751b6e655cebb67daf7aaea0dee6f567ea7abd13af24fe2cac94dc887451cf5215b67b9a9530cb0bd4db87b6a87ad4
Homepage: https://hci.iwr.uni-heidelberg.de/hci/softwares/nitpick
Description-en: efficient calculation of accurate masses and abundances of isotopic peaks
This GNU R package provides efficient calculation of accurate masses and
abundances of isotopic peaks. It is a precondition for R NITPICK which
does peak identification for mass spectrometry data.
Description-md5: e60c610a29e4d6f15208644721f089d4