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

Last updated: May 20,2024

1. Install "r-cran-stringdist" package

Please follow the step by step instructions below to install r-cran-stringdist on Ubuntu 20.10 (Groovy Gorilla)


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

This tutorial shows how to uninstall r-cran-stringdist on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-stringdist
Architecture: amd64
Version: 0.9.5.5-1build1
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: 734
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.14), libgomp1 (>= 4.9)
Recommends: r-cran-testthat
Suggests: r-cran-tinytest
Filename: pool/universe/r/r-cran-stringdist/r-cran-stringdist_0.9.5.5-1build1_amd64.deb
Size: 535060
MD5sum: d52fde4171ad60286a3ffec873e0d1f6
SHA1: a3ebc04c0658d4a57d453f91e09c2768878bf1df
SHA256: 1e195ebe5315e6aa888bb0b53a4f494b3ff7ba105dd3eb5f6106ebd771ea7173
SHA512: 30ed73fef7005b39e8d56bb83a410beb3b5fda557044e9cc017472bdaabeefa1b79566e2069d36f2114a198e5d3e0593ae86d4c8d337a13060941308840053db
Homepage: https://cran.r-project.org/package=stringdist
Description-en: GNU R approximate string matching and string distance functions
Implements an approximate string matching version of R's native 'match'
function. Can calculate various string distances based on edits (Damerau-
Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q-
gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-
Winkler). An implementation of soundex is provided as well. Distances
can be computed between character vectors while taking proper care of
encoding or between integer vectors representing generic sequences.
Description-md5: ae03b8e1698898260e19684c803f5548