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

Last updated: November 07,2024

1. Install "r-cran-matrix" package

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


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

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


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

Package: r-cran-matrix
Architecture: amd64
Version: 1.2-18-1build1
Priority: optional
Section: universe/math
Source: rmatrix
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5790
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-lattice
Filename: pool/universe/r/rmatrix/r-cran-matrix_1.2-18-1build1_amd64.deb
Size: 3453436
MD5sum: 7e30b67e9c109c153954646d69fcfc9a
SHA1: 7f21ca89eab5d0cbff8e68d1f87d0fb997ab3bd3
SHA256: f783ebbb764ebd2f7e6e7376032edfe184c6b8127f0e609cc7d5831625e8631e
SHA512: 1a4b47dc8047a026a34edf509c4f1bbbc92c8730ed6d49a82d37a3aa4e33d0bd7d5fc75b8b318cc51b1b42cbb4d968c871c87ea8430f6c7d797aa1e87985f2e2
Homepage: https://cran.r-project.org/package=Matrix
Description-en: GNU R package of classes for dense and sparse matrices
This CRAN package provides S4 classes and methods for numerical
linear algebra using dense or sparse matrices. The sparse matrix
implementation uses code from the LDL sparse matrix package and
code from the Metis package of partitioning algorithms.
Description-md5: a641c813b5e1a7051f5b9a37320ac0ce