How to Install and Uninstall r-bioc-pcamethods Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "r-bioc-pcamethods" package

This guide covers the steps necessary to install r-bioc-pcamethods on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-pcamethods
            
                    
    
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2. Uninstall "r-bioc-pcamethods" package

Please follow the step by step instructions below to uninstall r-bioc-pcamethods on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-bioc-pcamethods
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-pcamethods package on Ubuntu 21.10 (Impish Indri)

Package: r-bioc-pcamethods
Architecture: amd64
Version: 1.82.0-1
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: 1438
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-api-bioc-3.12, r-bioc-biobase, r-bioc-biocgenerics, r-cran-rcpp (>= 0.11.3), r-cran-mass, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-vdiffr, r-cran-matrixstats, r-cran-lattice, r-cran-ggplot2
Filename: pool/universe/r/r-bioc-pcamethods/r-bioc-pcamethods_1.82.0-1_amd64.deb
Size: 1144464
MD5sum: 6d9c516f64fa3bbe700a1b92c5620295
SHA1: d772f1cd9b1e6117153d4cb23766d9100d49636d
SHA256: 9f66a615f667edf0ff543e2757c1612a2da128865801c08cd1f29b61c41a3774
SHA512: 33e794a9a9803fd0531c73d1a6ec194debeac8c30534a908416eb8e58679c073bbb3660c09fc4f01e83e650c52192382c23b5ebf079cd892d129a9122ff30c61
Homepage: https://bioconductor.org/packages/pcaMethods/
Description-en: BioConductor collection of PCA methods
Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
based method for missing value estimation is included for
comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
on incomplete data as well as for accurate missing value
estimation. A set of methods for printing and plotting the
results is also provided. All PCA methods make use of the same
data structure (pcaRes) to provide a common interface to the
PCA results. Initiated at the Max-Planck Institute for
Molecular Plant Physiology, Golm, Germany.
Description-md5: 5ba6a4a40fd9407d4e68460ad08540cc