Over the course of the semester, you should wean yourself off of RStudio.cloud and install all these things locally. RStudio.cloud is convenient, but it can be slow and it is not designed to be able to handle larger datasets, more complicated analysis, or fancier graphics. If you don’t get this link, let me know and I will invite you.

You’ll receive a link to join the shared class workspace separately.

This means you won’t have to install anything on your computer to get started with R! We will have a shared class workspace in RStudio.cloud that will let you quickly copy templates for labs and problem sets. To make life easier, you can (and should!) use the free RStudio.cloud service initially, which lets you run a full instance of RStudio in your web browser. R is free, but it can sometimes be a pain to install and configure. Think of R as an engine and RStudio as a car dashboard-R handles all the calculations and the actual statistics, while RStudio provides a nice interface for running R code. You will use RStudio as the main program to access R. You will do all of your work in this class with the open source (and free!) programming language R.

R for r studio