The command above specifies port 8787, which is RStudio’s usual default. The -p 8787:8787 is only needed for images that have to run on a system port, which RStudio does (as does Shiny if you plan to include that someday). You don’t have to include -rm but if you run a lot of containers and don’t delete them, they’ll start taking up a lot of disk space. The -rm flag means remove the container when it’s finished. run means I want to run an image and create a container from that image. docker run -rm -p 8787:8787 -v /path/to/local/dir:/home/rstudio/newdir username/docker_image_name:image_tagĭocker is how you need to start any Docker command. Here is the syntax to run a Docker image on your own system to create a container. I modified their Docker images just slightly to make the one I used in this tutorial. Thanks to Adelmo Filho (a data scientist in Brazil) and the Rocker R Docker project, who provide some very useful Docker images. You can think of a Docker image as a set of instructions to create a container with specific software included. You should see a whale Docker icon running somewhere on your system.
#How to browse a website on docker on mac install#
If you would like to follow along, install desktop Docker on your system if you don’t already have it: Head to and download the right desktop version for your computer (Windows, Mac, or Linux). If you don’t want to follow along with the Docker part of this tutorial, and you just want to see what’s new in R, scroll down to the “Three new R 4.0 features” section.
Running R 4.0 and the latest preview release of RStudio in a Docker container is pretty easy. Containers are useful for a lot of things, but here I’ll focus on just one: testing new versions of software without screwing up your current local setup. They include their own operating system, and then anything you want to add to that – application software, scripts, data, etc. Think of them like a mini system on your system. Docker is a platform for creating “containers” – completely self-contained, isolated environments on your computer.