How to Install and Uninstall R-core.i686 Package on Fedora 36
Last updated: January 11,2025
1. Install "R-core.i686" package
This is a short guide on how to install R-core.i686 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-core.i686
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2. Uninstall "R-core.i686" package
Please follow the instructions below to uninstall R-core.i686 on Fedora 36:
$
sudo dnf remove
R-core.i686
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$
sudo dnf autoremove
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3. Information about the R-core.i686 package on Fedora 36
Last metadata expiration check: 5:17:30 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : R-core
Version : 4.1.3
Release : 1.fc36
Architecture : i686
Size : 61 M
Source : R-4.1.3-1.fc36.src.rpm
Repository : fedora
Summary : The minimal R components necessary for a functional runtime
URL : http://www.r-project.org
License : GPLv2+
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 : 4.1.3
Release : 1.fc36
Architecture : i686
Size : 61 M
Source : R-4.1.3-1.fc36.src.rpm
Repository : fedora
Summary : The minimal R components necessary for a functional runtime
URL : http://www.r-project.org
License : GPLv2+
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.