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

Last updated: May 18,2024

1. Install "r-recommended" package

Learn how to install r-recommended on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-recommended
            
                    
    
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2. Uninstall "r-recommended" package

Here is a brief guide to show you how to uninstall r-recommended on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-recommended
            
                    
    
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            $
        

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

Package: r-recommended
Architecture: all
Version: 4.0.2-1build1
Priority: optional
Section: universe/math
Source: r-base
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 13
Depends: r-base-core (>= 4.0.2-1build1), r-cran-boot (>= 1.2.19), r-cran-cluster (>= 1.9.6-2), r-cran-foreign (>= 0.7-2), r-cran-kernsmooth (>= 2.2.14), r-cran-lattice (>= 0.10.11), r-cran-mgcv (>= 1.1.5), r-cran-nlme (>= 3.1.52), r-cran-rpart (>= 3.1.20), r-cran-survival (>= 2.13.2-1), r-cran-mass, r-cran-class, r-cran-nnet, r-cran-spatial, r-cran-codetools, r-cran-matrix
Filename: pool/universe/r/r-base/r-recommended_4.0.2-1build1_all.deb
Size: 2820
MD5sum: c206d1e8cd03c114e4995b5f03d387ee
SHA1: a9055df8a39adbb88f706a1453369bbf16e124b7
SHA256: 1f0bf5b2d8a9d21505c18d818ec8011c6122239c0ee2bcc57b437925c1bc0bbc
SHA512: a6040324be5e6cc45d6fde6d9c835c314905fe856b5d374573063ede629810d781412be5081705b376700ba239688f4fe050c1c7a027ed494b9b3b4d0589b702
Homepage: http://www.r-project.org/
Description-en: GNU R collection of recommended packages [metapackage]
R is a system for statistical computation and graphics. It consists
of a language plus a run-time environment with graphics, a debugger,
access to certain system functions, and the ability to run programs
stored in script files.
.
The design of R has been heavily influenced by two existing languages:
Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the
resulting language is very similar in appearance to S, the underlying
implementation and semantics are derived from Scheme.
.
The core of R is an interpreted computer language which allows
branching and looping as well as modular programming using functions.
Most of the user-visible functions in R are written in R. It is
possible for the user to interface to procedures written in the
C, C++, or FORTRAN languages for efficiency, and many of R's core
functions do so. The R distribution contains functionality for a
large number of statistical procedures and underlying applied math
computations. There is also a large set of functions which provide
a flexible graphical environment for creating various kinds of data
presentations.
.
Additionally, several thousand extension "packages" are available from
CRAN, the Comprehensive R Archive Network, many also as Debian packages,
named 'r-cran-'.
.
This Debian package is now a metapackage that depends on a set of
packages that are recommended by the upstream R core team as part of a
complete R distribution, and distributed along with the source of R
itself, as well as directly via the CRAN network of mirrors. This set
comprises the following packages (listed in their upstream names):
- KernSmooth: Functions for kernel smoothing for Wand & Jones (1995)
- Matrix: Classes and methods for dense and sparse matrices and
operations on them using Lapack and SuiteSparse
- MASS, class, nnet and spatial: packages from Venables and Ripley,
`Modern Applied Statistics with S' (4th edition).
- boot: Bootstrap R (S-Plus) Functions from the book "Bootstrap Methods
and Their Applications" by A.C. Davison and D.V. Hinkley (1997).
- cluster: Functions for clustering (by Rousseeuw et al.)
- codetools: Code analysis tools for R
- foreign: Read data stored by Minitab, S, SAS, SPSS, Stata, ...
- lattice: Implementation of Trellis (R) graphics
- mgcv: Multiple smoothing parameter estimation and GAMs by GCV
- nlme: Linear and nonlinear mixed effects models
- rpart: Recursive partitioning and regression trees
- survival: Survival analysis, including penalised likelihood.
Description-md5: fa7931c821d7f86d0b3420906f4ab9a1