[In-person] Part of the Rfun Series. R for Lunch is a one-hour lunch-time series designed to help people learn R for reproducible computational thinking. R is a data science and data visualization tool which, when combined with RStudio, the Tidyverse, and Quarto, provides a powerful and flexible environment for reproducible research. Note: Lunch will NOT be provided but you are welcome to bring your own!

Register in advance. Meet in Person.  Recordings will be shared on a delayed schedule. This event is open to non-Duke participants

R for Lunch (1 hour each)
- previous sessions (8/3, 9/1, 9/8, 9/15, 9/22)
- Friday - 9/29/23 ; 12:30 ; functions & purrr, iteration (continued);  (builds on previous sessions)
- Friday - 10/6/23 ; 1:30 ; regression and tidymodels  

The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at any time prior to the conclusion of the workshop.

Data Science