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

Last updated: May 03,2024

1. Install "r-mathlib" package

Please follow the step by step instructions below to install r-mathlib on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-mathlib

2. Uninstall "r-mathlib" package

In this section, we are going to explain the necessary steps to uninstall r-mathlib on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-mathlib $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-mathlib package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-mathlib
Architecture: amd64
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: 2725
Depends: libc6 (>= 2.29)
Recommends: r-base-core (= 4.0.2-1build1), r-base-dev (= 4.0.2-1build1)
Filename: pool/universe/r/r-base/r-mathlib_4.0.2-1build1_amd64.deb
Size: 2020084
MD5sum: 93cbe77e08d95b218cd2fa2c881f80c7
SHA1: d0a47a0065996127a82cb68dcb8d8ee7b0556a80
SHA256: 3b871f698460daa57b5b90509b4193664e47355a31b33b38e322568f0990f40d
SHA512: 1c407181359e34e2812c9743367ec0661868b5f968ca81f5b617cea8797fa8ea5102765ff9665f10c4958854c897b00994d3c42720a09fb598323608630971ab
Homepage: http://www.r-project.org/
Description-en: GNU R standalone mathematics library
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 package provides the libRmath shared and static libraries which can
be called from standalone C or C++ code.
Description-md5: fda173ca22c9952d304064d107a71c22