How to Install and Uninstall R-java.x86_64 Package on CentOS Stream 9

Last updated: September 25,2024

1. Install "R-java.x86_64" package

This guide covers the steps necessary to install R-java.x86_64 on CentOS Stream 9


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                R-java.x86_64
            
                    
    
    Copied

2. Uninstall "R-java.x86_64" package

Please follow the instructions below to uninstall R-java.x86_64 on CentOS Stream 9:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                R-java.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the R-java.x86_64 package on CentOS Stream 9

Last metadata expiration check: 1:00:45 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : R-java
Version : 4.3.3
Release : 1.el9
Architecture : x86_64
Size : 11 k
Source : R-4.3.3-1.el9.src.rpm
Repository : epel
Summary : R with Fedora provided Java Runtime Environment
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.
:
: This package also has an additional dependency on java, as provided by
: Fedora's openJDK.