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

Last updated: May 04,2024

1. Install "r-cran-clustergeneration" package

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


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

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


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

Package: r-cran-clustergeneration
Architecture: all
Version: 1.3.4-3build1
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: 286
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass
Filename: pool/universe/r/r-cran-clustergeneration/r-cran-clustergeneration_1.3.4-3build1_all.deb
Size: 258740
MD5sum: 2e9f4eb6e53a98da0b67ff2c80ea1995
SHA1: 4bb8cfaf89b6b911e2e3015de3a44609b64acbbf
SHA256: ade033599be0c4749f5ecf1f191bdcf4936c95a1b859f080b9045653d7569dd9
SHA512: 086773dfa984301d14ff003496839ec628efac8490cc6738942ea7e43236034cffe796f704284c263766cad027c6095d2ab1903d7a47475925b92081f7b20140
Homepage: https://cran.r-project.org/package=clusterGeneration
Description-en: GNU R random cluster generation (with specified degree of separation)
The GNU R package clusterGeneration provides functions for generating
random clusters, generating random covariance/correlation matrices,
calculating a separation index (data and population version) for pairs
of clusters or cluster distributions, and 1-D and 2-D projection plots
to visualize clusters. The package also contains a function to generate
random clusters based on factorial designs with factors such as degree
of separation, number of clusters, number of variables, number of noisy
variables.
Description-md5: ce322d91fc371e97f07f3ed001b90ea4