13.1 Primary software
13.1.1 Programming environment: R
We will use the open-source language R for almost everything in this course.
NOTE: If you have used R before that’s awesome!
However, PLEAE PLEASE PLEASE update your installation when the class begins - R goes through regular updates and works best with the newest version.
If you are having trouble installing R an excellent resource is: https://learningstatisticswithr.com/book/introR.html
REFERENCE
R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. www.R-project.org/.
13.1.2 Integrated developement environment (IDE)
We’ll use RStudio as the front-end for working with R.
NOTE: If you’ve use RStudio before please update it when the course begins.
[RStudio](https://www.rstudio.com/: www.rstudio.com/products/rstudio/download/#download
13.1.3 Cloud-based R
We will use several web-based services to run R. First, we will use the online machine-learning platform Kaggle and the Notebooks feature to run code in a user-friendly environment. You can make a Kaggle account with your University or personal email address.
Additionally, as a back-up to running R on your desktop I’ll also introduce you to [RStudio Cloud](https://rstudio.cloud/. There are also several excellent primers which we’ll use.