How to Install and Uninstall r-bioc-pcamethods Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 03,2024

1. Install "r-bioc-pcamethods" package

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


    
        
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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

This guide let you learn how to uninstall r-bioc-pcamethods on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: r-bioc-pcamethods
Architecture: amd64
Version: 1.80.0-1build1
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: 1438
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-api-bioc-3.11, 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_1.80.0-1build1_amd64.deb
Size: 1144568
MD5sum: b1f3598dcb220faacd143638b19d0eff
SHA1: d69887a8712a3b59c86a4a02e54ccf02c4f367e5
SHA256: f0e0814e51c3c22612bb72d2a6b2f48acbac8cf73adcbcdfe7e94979c510121d
SHA512: f1d93a83f8f23c02899d8e85ba6d9b50e4b81f66731b9233a74e81e0223215f9e5d50d7c97a4bb2ba7cba05556864d2adc006a8ababcdf9f4b69395b8f154db2
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