Docker Intro

This was intended langauge for the course onboarding page!

Options for Installing Software

Regardless of how you are accessing the software for this class, there are two options for installing the core applications R and RStudio as well as their associated dependencies. The first option is to use a virtual installation of R and RStudio. This uses an application called Docker to create a virtual instance of R and RStudio that you can access via your browser. All of the packages required for the semester will already be pre-loaded, so Docker requires less time to get up and running.

This first option is recommended if you are using a lab computer, you are brand new to R, are less comfortable with computers, and/or are not sure whether or not you’ll be using R after the end of the semester. Instructions for getting started with Docker be found on the course software page. If you decide to use Docker installed on a computer lab machine, please try to arrive 10 to 15 minutes early on the first day of class to get your Desktop up and running.

The second option is to manage your own installation. This is recommended if you have used R before, are comfortable with computers, and is particularly recommended if you are using your own computer and plan to continue using R after the semester ends. Instructions for managing your own installation can be found on the course software page.