Installing R on Android via Termux

Every now and then I’ll be away from home on the subway or something when I think about a quick function call I want to test in R, or a line of code I want to tweak. I have sometimes logged in to my RStudio Server instance, but the interface is next to impossible to use on a cell phone. Instead of access R from my phone, the solution was to access R on my phone. The instructions here will help you get set up with an IDE-like R experience on Android.

To give credit where credit is due, some of the below commands were suggested in this issue on the Termux packages GitHub repo.

Step 1: Installing Termux

Termux forms the basis of this little project. It is a terminal emulator for Android, with a Linux environment and package management tools. Get it on Google Play here.

Step 2: Add the pointless package repository

GitHub user its-pointless maintains a repository of packages for Termux, includng the ones we’ll need to install R. Enter the commands below to add their repository to your Termux install.

pkg install curl gnupg
mkdir -p "$PREFIX/etc/apt/sources.list.d/"
echo "deb termux extras" > "$PREFIX/etc/apt/sources.list.d/pointless.list"
curl "" | apt-key add

Step 3: Install required .deb packages

The following series of pacakges will give you a fully-functioning R environment, including the ability to install R packages from CRAN.

pkg install r-base \
            make \
            clang \
            gcc-7 \
            libgfortran \
            openssl-dev \
            libcurl-dev \
            libicu-dev \

You will need to configure your compiler. its-pointless provides a handy script for this. Just run setupclang-gfort-8.

Step 4: Install R packages

Now you’re ready to install your packages. First launch R by typing an uppercase R: R.

From within R, use the install.packages() function to install the packages of your choice. For instance, if you are a tidyverse user, you can run:


Note, the above install takes a long time. You may prefer to install individual packages instead of the whole tidyverse bundle … really, how many knitr documents do you plan to write on your phone?

Step 5: Adding an IDE

If you are happy to use R from the R consle, then you can skip this step. If you, like me, prefer to have a bit more control to run lines and see the objects in your environment, then you can get something akin to the RStudio experience (console-based of course) using Neovim and the Nvim-R plugin.

To get started, install Neovim.

pkg install neovim

You can find the latest version of Nvim-R here. Take a note of the URL for the latest release. You can download this directly to your Termux environment via cURL as follows:

curl -L > NvimR.vmb

In an effort to future-proof this post, you can download the newest version automatically with this (rough) grep hack (YMMV):

latestver=$(curl -L | grep -m1 "download_script.php" | grep -Eo "[0-9]+")
curl -L$latestver > NvimR.vmb

You have now saved the Nvim-R plugin in a file in the current directory, but it is not installed yet. To install, launch Neovim and open the NvimR.vmb file.

nvim NvimR.vmb

In vim, type the following two commands:

:packadd vimball
:so %

You will see a list of files installed. Hit space until you reach the end of the output. You can now quit via :q!.

Step 6: Profit

There is a pretty steep learning curve to using Neovim and I’ll admit that I’m still just getting started. The following will give you a few tips to get your feet wet. For more detailed instructions, see the Nvim-R documentation.

You can open a new R file in Neovim by typing the following:

nvim test.R

You should now find yourself within Neovim. Fire up an R instance by typing \rf and wait for it to initialize.

You can open the object browser via \ro. This will give you a layout that looks a little like RStudio.

You can tap between the console and the edit area. To insert text, type i. When you are done typing, hit Esc. Run a line by \l.

Note: To insert an underscore, type _ twice. One is turned to <-

For inspiration:

Nvim-R on Google Pixel

And there you have it. Good luck coding in R from your phone!

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