How to Install and Uninstall R.x86_64 Package on Fedora 38
Last updated: December 25,2024
1. Install "R.x86_64" package
This guide covers the steps necessary to install R.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
R.x86_64
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2. Uninstall "R.x86_64" package
Please follow the step by step instructions below to uninstall R.x86_64 on Fedora 38:
$
sudo dnf remove
R.x86_64
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$
sudo dnf autoremove
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3. Information about the R.x86_64 package on Fedora 38
Last metadata expiration check: 3:49:11 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : R
Version : 4.3.3
Release : 1.fc38
Architecture : x86_64
Size : 11 k
Source : R-4.3.3-1.fc38.src.rpm
Repository : updates
Summary : A language for data analysis and graphics
URL : https://www.r-project.org
License : GPL-2.0-or-later
Description : This is a metapackage that provides both core R userspace and
: all R development components.
:
: R is a language and environment for statistical computing and graphics.
: R is similar to the award-winning S system, which was developed at
: Bell Laboratories by John Chambers et al. It provides a wide
: variety of statistical and graphical techniques (linear and
: nonlinear modelling, statistical tests, time series analysis,
: classification, clustering, ...).
:
: R is designed as a true computer language with control-flow
: constructions for iteration and alternation, and it allows users to
: add additional functionality by defining new functions. For
: computationally intensive tasks, C, C++ and Fortran code can be linked
: and called at run time.
Available Packages
Name : R
Version : 4.3.3
Release : 1.fc38
Architecture : x86_64
Size : 11 k
Source : R-4.3.3-1.fc38.src.rpm
Repository : updates
Summary : A language for data analysis and graphics
URL : https://www.r-project.org
License : GPL-2.0-or-later
Description : This is a metapackage that provides both core R userspace and
: all R development components.
:
: R is a language and environment for statistical computing and graphics.
: R is similar to the award-winning S system, which was developed at
: Bell Laboratories by John Chambers et al. It provides a wide
: variety of statistical and graphical techniques (linear and
: nonlinear modelling, statistical tests, time series analysis,
: classification, clustering, ...).
:
: R is designed as a true computer language with control-flow
: constructions for iteration and alternation, and it allows users to
: add additional functionality by defining new functions. For
: computationally intensive tasks, C, C++ and Fortran code can be linked
: and called at run time.