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

Last updated: May 18,2024

1. Install "r-cran-uwot" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-uwot
            
                    
    
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2. Uninstall "r-cran-uwot" package

Please follow the guidelines below to uninstall r-cran-uwot on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-uwot
            
                    
    
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            $
        

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

Package: r-cran-uwot
Architecture: amd64
Version: 0.1.8-1build1
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: 862
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-matrix, r-cran-rcpp, r-cran-fnn, r-cran-rspectra, r-cran-rcppannoy (>= 0.0.11), r-cran-irlba, r-cran-rcppprogress, r-cran-dqrng, libc6 (>= 2.29), libgcc-s1 (>= 3.4), libstdc++6 (>= 6)
Recommends: r-cran-testthat
Suggests: r-cran-covr
Filename: pool/universe/r/r-cran-uwot/r-cran-uwot_0.1.8-1build1_amd64.deb
Size: 458500
MD5sum: 4f4ee013645ea9800d916cd29002d702
SHA1: 20d7e72482137923c4173dd79251658671cb0868
SHA256: 84625d6b35fe45611cb7b2d99df30dc156092c500340733afd9e7d7348770c4e
SHA512: f5f03000fdff4ac153ceb1825b91121a1c0be26fd1094cd1415972b29eadcf58590094a918736d1a4478f6cff6987b760510491a123ba1c2d5faf1d93ef3e3c8
Homepage: https://cran.r-project.org/package=uwot
Description-en: GNU R uniform manifold approximation and projection (UMAP)
An implementation of the Uniform Manifold Approximation and
Projection dimensionality reduction by McInnes et al. (2018)
. It also provides means to transform new data and to
carry out supervised dimensionality reduction. An implementation of the
related LargeVis method of Tang et al. (2016) is also
provided.
.
This is a complete re-implementation in R (and C++, via the 'Rcpp'
package): no Python installation is required. See the uwot website
() for more documentation and examples.
Description-md5: 5a40f340223787241a2c962b5a08ba1a