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

Last updated: May 20,2024

1. Install "r-cran-sna" package

This is a short guide on how to install r-cran-sna on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

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

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


    
        
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                sudo apt remove
            
                        
                r-cran-sna
            
                    
    
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            $
        

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

Package: r-cran-sna
Architecture: amd64
Version: 2.5-2
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: 1363
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-statnet.common, r-cran-network, libc6 (>= 2.14)
Suggests: r-cran-rgl, r-cran-numderiv, r-cran-sparsem
Filename: pool/universe/r/r-cran-sna/r-cran-sna_2.5-2_amd64.deb
Size: 1215480
MD5sum: 4e55cf0f45472a901acb31b91d5292bf
SHA1: bdbdc29b4c7a67b7e4516041f1cc593af5f42dc9
SHA256: e8462e99e8a40e71911a3b6d63cb03c4029e25a6f9231f4c74c830da27756aaa
SHA512: 91b6d2925b3810db72751f8553191aadfb662aa1a1bbdf53bdccb3504a23d16f976bd0a207cf70d7468e267a793b48ee222a6af8d026224d4c253cd187425d75
Homepage: https://cran.r-project.org/package=sna
Description-en: Tools for Social Network Analysis
A range of tools for social network analysis, including node and graph-
level indices, structural distance and covariance methods, structural
equivalence detection, network regression, random graph generation, and
2D/3D network visualization.
Description-md5: 5502efdf80fd9404cc9bbf165aec2727