These notes are supplements to STAT-UB 103, an introductory course in probability, statistics, and regression modeling. We use R to teach the course. The first three notes give a pithy introduction to R programming. Feedback is most welcome—please get in touch or submit a pull request.

Made in collaboration with Joshua Loftus. Here is the syllabus. Theme inspired by Tufte Handouts.

Introductory:

- Diez, Ã‡etinkaya-Rundel, Barr,
*OpenIntro Statistics* - Illowsky, Dean.
*Openstax Introductory Statistics*

Intermediate/Advanced:

- Wasserman,
*All of Statistics* - James, Witten, Hastie, Tibshirani,
*Introduction to Statistical Learning* - Hastie, Tibshirani, Friedman,
*Elements of Statistical Learning*

R Programming:

- Ismay, Kim,
*ModernDive* - Wickham, Grolemund,
*R for Data Science* - Xie, Allaire, Grolemund,
*R Markdown: The Definitive Guide*