Loaded plugins: fastestmirror, refresh-packagekit, security already change enable=0 to enable=1 in both epel files in īut still having the same ]$ sudo yum install R Note: User Fukamit below points us to the proper location for RHEL 6 Workstation users (it’s the rhel-6-workstation-optional-rpms repository), so if you’re running RHEL 6 Workstation, that’s the way to go.
Now, executing yum install R will work as expected, and you’re on your way to happy end users. Just head into the /etc//redhat.repo file and enable the repository by changing the appropriate “enabled = 0” line to “enabled = 1”: vim /etc//redhat.repo Previously, I had instructed users to gather the missing packages above from the CentOS 6 repositories, but after doing a little digging, I found that the missing packages are in Red Hat’s rhel-6-server-optional-rpms. Installing R from EPEL fails because neither the EPEL nor the RHN repositories have all of the prerequisite packages available. Yum localinstall Įrror: Package: R-core-devel-3.1.86_64 (epel)
Unfortunately, adding the EPEL repository and attempting the command “yum install R” results in an error: wget Then R can be installed as described above in the section on Fedora. The appropriate “epel-release” RPM, as described in the EPEL FAQ: To use the EPEL repository, it is sufficient to download and install These RPMs are also compatible with distributions derived from RHEL. The Fedora RPMs for R have been ported to RHEL by the project Extra As one can plainly read, the instructions are quite simple: The instructions provided by CRAN (the Comprehensive R Archive Network) for installing R on Red Hat Enterprise Linux are given in a README file which is the only available resource in their “redhat” repository ( ). Typically, installing software in the RHN environment is a piece of cake, but here, I ran into some trouble which was surprisingly poorly documented in the Interwebs.īasically, R is not in the standard RHN repository. Some of my users need to be able to run the statistical programming language R on a few systems.
Update: Be sure to check out the next post in this series: Securing R on Red Hat Enterprise Linux.
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