How to Install R Lang on Fedora 36 Linux
If you’re a data nerd who’s been tinkering in the terminal and suddenly needs R for a quick statistical plot, this is your one‑page guide. We’ll walk through adding the right repos, grabbing the binary, and confirming it’s running—no guesswork or endless “it worked on Windows” stories.
Check Your Base Build Tools
sudo dnf groupinstall "Development Tools"
Why bother? R pulls in a lot of C/C++ code for packages. Without gcc and the header files, even compiling a simple tidyverse library will choke. The “Development Tools” group installs those essentials in one go.
Add RPM‑Fusion (Optional but Handy)
Some R extensions live in RPM‑Fusion’s free repo:
sudo dnf install https://download1.rpmfusion.org/free/fedora/rpmfusion-free-release-36.noarch.rpm
If you skip this, you’ll still get base R from Fedora, but you might miss out on newer packages that prefer the RPM‑Fusion build.
Enable EPEL for Extra Packages
Fedora’s core repos are fine for most, but a few R bits live in EPEL. Grab it:
sudo dnf install epel-release
After that, refresh your metadata so dnf sees everything:
sudo dnf clean all && sudo dnf update
Install R From the Repos
sudo dnf install R
That’s it. Fedora ships a reasonably recent binary (4.x or 3.x depending on the release cycle). No need to compile from source unless you’re chasing bleeding‑edge features.
Verify with a Quick Self‑Check
Launch the REPL and ask for your session info:
R -e "sessionInfo()"
You should see something like:
R version 4.3.1 (2023-12-21) -- "Red Hot Volcano" Platform: x86_64-redhat-linux-gnu (64-bit) ...
If you get an error about missing libR.so or similar, double‑check that the R package installed properly and that your path isn’t broken.
Optional: Install RStudio Desktop
For a full IDE experience:
sudo dnf install rstudio
This pulls in the official Fedora build of RStudio. If you prefer the snap or flatpak, those work too—just make sure you’re not double‑installing conflicting versions of R.
Common Pitfall: Forgetting devtools When Installing Packages
I’ve seen users hit a wall when they try to install packages like ggplot2 without having the devtools package, which pulls in a host of dependencies. Running:
install.packages("devtools")
inside R fixes most compile‑time hiccups.
That’s all there is to it—no more “I’ve got an error that says …” after you’re done. Happy crunching! If anything goes sideways, drop a comment and we’ll sort it out together.