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

Last updated: December 29,2024

1. Install "r-cran-seriation" package

This tutorial shows how to install r-cran-seriation on Ubuntu 20.10 (Groovy Gorilla)


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

Here is a brief guide to show you how to uninstall r-cran-seriation on Ubuntu 20.10 (Groovy Gorilla):


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

Package: r-cran-seriation
Architecture: amd64
Version: 1.2-8-1build1
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: 1356
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-tsp, r-cran-qap, r-cran-cluster, r-cran-gclus, r-cran-dendextend, r-cran-colorspace, r-cran-mass, r-cran-gplots, r-cran-registry, libc6 (>= 2.29)
Recommends: r-cran-testthat
Filename: pool/universe/r/r-cran-seriation/r-cran-seriation_1.2-8-1build1_amd64.deb
Size: 1176996
MD5sum: b63c40416ea9990aabaf4462f28caf34
SHA1: 6534831ed1ae6fdd8c0a54792c217dd5d5df9f3b
SHA256: cba65c162dfba6096b70e098f17847ac7c54c49cf1257b2b3ba2b3017e8e0615
SHA512: 51f49eeba81a7ce8bc27db4e155da863436718f8f503307f44c1c9d02170dcb332ecc6964352afdadc42b9200ffb1c15a47008c90820b582db65ff6029120b9d
Homepage: https://cran.r-project.org/package=seriation
Description-en: GNU R infrastructure for ordering objects using seriation
Infrastructure for seriation with an implementation of several
seriation/sequencing techniques to reorder matrices, dissimilarity
matrices, and dendrograms. Also provides (optimally) reordered heatmaps,
color images and clustering visualizations like dissimilarity plots, and
visual assessment of cluster tendency plots (VAT and iVAT).
Description-md5: ac1962abd370a3f3076d7e15341d943c