How to Install and Uninstall r-cran-factoextra Package on Kali Linux

Last updated: November 07,2024

1. Install "r-cran-factoextra" package

Please follow the steps below to install r-cran-factoextra on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide covers the steps necessary to uninstall r-cran-factoextra on Kali Linux:


    
        
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                sudo apt remove
            
                        
                r-cran-factoextra
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-factoextra package on Kali Linux

Package: r-cran-factoextra
Version: 1.0.7-2
Installed-Size: 459
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-ggplot2 (>= 2.2.0), r-cran-abind, r-cran-cluster, r-cran-dendextend, r-cran-factominer, r-cran-ggpubr (>= 0.1.5), r-cran-reshape2, r-cran-ggrepel, r-cran-tidyr
Suggests: r-cran-ade4, r-cran-ca, r-cran-igraph, r-cran-mass, r-cran-knitr, r-cran-mclust
Size: 414588
SHA256: 6368742178d7b6071e43fe9148e56ac6804357f7055e5ea75541e05c6f7cfde0
SHA1: f840b70d6f206694a98a67d955eb76849670872f
MD5sum: 75cd57a37469ea5764c02e12af9ebc12
Description: GNU R extract and visualize multivariate data analyses
Provides some easy-to-use functions to extract and visualize the output
of multivariate data analyses, including 'PCA' (Principal Component
Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple
Correspondence Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA'
(Multiple Factor Analysis) and 'HMFA' (Hierarchical Multiple Factor
Analysis) functions from different R packages. It contains also
functions for simplifying some clustering analysis steps and provides
'ggplot2' - based elegant data visualization.
Description-md5:
Homepage: https://cran.r-project.org/package=factoextra
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-factoextra/r-cran-factoextra_1.0.7-2_all.deb