How to Install and Uninstall R-core.x86_64 Package on Red Hat Enterprise Linux 8 (RHEL 8)
Last updated: November 27,2024
1. Install "R-core.x86_64" package
Please follow the step by step instructions below to install R-core.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8)
$
sudo dnf update
Copied
$
sudo dnf install
R-core.x86_64
Copied
2. Uninstall "R-core.x86_64" package
This tutorial shows how to uninstall R-core.x86_64 on Red Hat Enterprise Linux 8 (RHEL 8):
$
sudo dnf remove
R-core.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the R-core.x86_64 package on Red Hat Enterprise Linux 8 (RHEL 8)
Last metadata expiration check: 1:15:49 ago on Mon Feb 26 15:59:38 2024.
Available Packages
Name : R-core
Version : 4.3.2
Release : 1.el8
Architecture : x86_64
Size : 63 M
Source : R-4.3.2-1.el8.src.rpm
Repository : epel
Summary : The minimal R components necessary for a functional runtime
URL : https://www.r-project.org
License : GPL-2.0-or-later
Description : 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-core
Version : 4.3.2
Release : 1.el8
Architecture : x86_64
Size : 63 M
Source : R-4.3.2-1.el8.src.rpm
Repository : epel
Summary : The minimal R components necessary for a functional runtime
URL : https://www.r-project.org
License : GPL-2.0-or-later
Description : 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.