Recently, I gave a short presentation to students in IBS 519: Introduction to Data Analysis at Emory University. Many of these students are first year graduate students and most are just starting to learn R programming. The class primarily uses R Studio Cloud to distribute assignments and manage the computing environment - which has worked well for the classroom. However, once the class ends, the students will only have access to the free tier of R Studio Cloud - which isn’t sufficient for students who join primarily computational laboratories.
Thus, the other teaching assistants and I decided to briefly introduce the concept of installing R and R studio locally. We also thought about important data management principles that early graduate students should be aware of and decided to highlight R projects, file management, and version control. This slide deck is meant to be a high level overview of these concepts with some links to resources that are helpful for further study.
I created the slides for this presentation with R markdown and the xaringan, xaringanthemer, and xaringanExtra packages.
My slides are below!