Expand the filesystem (Advanced Options / Expand Filesystem).Also, make sure to update your system libraries with sudo apt update & sudo apt dist-upgrade before you start.Īlthough not mandatory, I recommend performing the following actions using the sudo raspi-config application (In Ubuntu you need to install it first with sudo apt install raspi-config): ✏️ I also have a related article showing how to automate the installation process using Ansible.įirst, you need a 64-bit operating system for your Pi (make sure it’s 64-bit since RStudio only has support for the arm64 architecture), these installation instructions work for both Raspberry Pi OS and Ubuntu, you can download either of those using the Raspberry Pi Imager software from their official site. In this renewed article I’m going to guide you through the installation options we have currently available. Nowadays, things have changed and we have better support for the arm64 architecture due to community efforts and even official RStudio support in the works.

In those days there was almost zero support for ARM architectures (either x32 or 圆4) so most of the software had to be compiled from source on the Pi itself, which makes the installation process a titanic effort with lots and lots of waiting hours. I actually use a Raspberry Pi for that very purpose so I decided to share with the R community, my experience setting up Shiny and Rstudio Server natively on a Raspberry Pi. This article was originally published back in 2018 and a lot has changed since then, so I have completely re-write it to take into account the most recent advancements in support for the arm64 architecture within the R ecosystem.īack in 2018, I participated in a forum topic at Community RStudio where was asking if a Raspberry Pi 3B+ could make it as a viable Shiny server.

Install Additional Support Services (optional).

Rstudio install ubuntu