Using the R programming language can be a great tool in a variety of disciplines for data analysis and visualization. To help you get started, we’ve compiled several video tutorials, a list of resources and a space to chat about what you’re doing in R. Check out our page and join the conversation!

Getting started with R

Learn how to install R and RStudio in this tutorial with Elizabeth E. Esterly, a graduate student in computer science at the University of New Mexico.

Setting up your RStudio workspace

Learn your way around the RStudio environment and how to get it set up and ready to handle some serious data in this tutorial with Elizabeth E. Esterly, a graduate student in computer science at the University of New Mexico.

Focus on variables

Focus on the basics of assignment and variables in R in this mini-tutorial by Elizabeth E. Esterly, a graduate student in computer science at the University of New Mexico.

Focus on data import

Focus on the basics of data import in R in this mini-tutorial by Elizabeth E. Esterly, a graduate student in computer science at the University of New Mexico.

We have a workshop coming up!

Join us Dec. 4 for Tame Your Data With R Part 2! Register here. Please install R and RStudio on your computer ahead of time. Completing part one of the workshop is recommended, but not necessary.

We also offer weekly office hours.

Stop by the Advance at UNM space from 11 to 2 on Thursdays to have computer science grad student Elizabeth E. Esterly answer your questions.

 

HELPFUL RESOURCES

Here are our top picks for you on using R:

Click here first for R language information and then here to download it.
 
And learn about data visualizations in R here.
 
See this document for the workshop materials from Workshop 1 on Oct. 23rd. 

Join our conversation

We’re here to chat about your work with data and R. Each week, we’ll ask a different question or address a new part of R. You can ask your questions too! UNM computer science graduate student Elizabeth E. Esterly will address your comments below.

Week of Nov. 27: How do you use R to deal with data?

 

Week of Nov. 13: What would you like to see in the tutorials section?

 

Week of Oct. 23: What got you interested in R?

 

Week of Oct. 9: What’s the story you want your data to tell?

 

Leave your thoughts in the comment section.