R Links
I built this page to point students (and anyone else learning R) to resources I’ve found helpful in my R journey. Use whatever information you’d like, but only for good. And give Stanley a virtual pat on the head before you go.
Getting Started with R
Start by downloading the R software environment:
Next download one of two IDEs, both developed by Posit:
- Positron
- A fork of VSCode specifically designed for R, also supports Python and Julia
- Recently out of beta, but is mostly stable and has modern features absent from RStudio
- If you have experience in VSCode, I recommend Positron
- RStudio
- The classic IDE for R, and still the most popular
- Straightforward, easier to navigate, and very stable
- If you have no experience with IDEs, I recommend RStudio
After installing R and an IDE, you can start learning R. Here are some resources to get you started:
- Starter links from posit
- Recommended resources for learning R
- Package Cheatsheets from posit
- Cheatsheets for a variety of offerings from Posit
Data Science in R
Working with LLMs in R
LLMs are rapidly enhancing work across many domains, including academia. Here are some resources for working with LLMs in R, including agentic coding and direct interaction with LLMs for data processing and more. This is a rapidly evolving space, so this list is not meant to be exhaustive nor perfectly up to date. But I’ll do my best to keep up!
Web Crawling & Scraping in R
GIS
- “Geocomputation with R” by Lovelace, Nowosad, & Muenchow
- Atlas of Historical County Boundaries (US)
- Shapefiles for historical county (1629-2000) and state/territory (1783-2000) boundaries. Tracks all boundary changes over time.
- IPUMS NHGIS (US)
- Shapefiles for historical boundaries in census years from 1790-Present. Does not track all changes, only shows boundaries as they existed in census years.
- Eurostat (From the EU)
- Shapefiles for modern Europe
