How to Install and Uninstall r-cran-scatterplot3d Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 23,2024

1. Install "r-cran-scatterplot3d" package

This tutorial shows how to install r-cran-scatterplot3d on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-scatterplot3d
            
                    
    
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2. Uninstall "r-cran-scatterplot3d" package

Here is a brief guide to show you how to uninstall r-cran-scatterplot3d on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-scatterplot3d
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-scatterplot3d package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-scatterplot3d
Architecture: all
Version: 0.3-41-3build1
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: 377
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Filename: pool/universe/r/r-cran-scatterplot3d/r-cran-scatterplot3d_0.3-41-3build1_all.deb
Size: 336748
MD5sum: de382305b5bd235ec092cba1755b3a45
SHA1: 8b95271fbc41ec5e9ffe11172f1c9739caabac9e
SHA256: e5c248c4e6563ddc689d4aee97d748029db507058cb7fc660620d309dda80544
SHA512: 10a5cb24663ef8230c61dd6d5ef13e96b7c473ead98f8c28e8334806223648c89e46e07d2ad9a17e7df044e58f112707ff226ab8a0bb6f69849f938b93392f21
Homepage: https://cran.r-project.org/package=scatterplot3d
Description-en: GNU R package for Visualizing Multivariate Data
Scatterplot3d is an GNU R package for the visualization of multivariate data
in a three dimensional space. Basically scatterplot3d generates a scatter plot
in the 3D space using a parallel projection. Higher dimensions (fourth, fifth,
etc.) of the data can be visualized to some extent using, e.g. different
colors, symbol types or symbol sizes.
Description-md5: 0cdd314e03e6d40857e3c9bde28cbc37