A list of resources for STA 209.
Chester Ismay’s Getting Used to R, RStudio, and RMarkdown is a helpful introduction extending beyond the discussion in ModernDive.
Hadley Wickham’s R for Data Science and Garrrett Grolemund’s Hands-On Programming with R are helpful resources for advanced data wrangling and R programming, respectively.
The Cookbook for R and the R Graphics Cookbook are good in-depth references for the fundamentals of R and ggplot2. They are especially helpful if you are trying to look-up how to code some particular task
For quick reference, RStudio publishes several cheatsheets, like the Visualization Cheatsheet (ggplot2) and the Data Wrangling Cheatsheet (dplyr)
You may find it helpful to install R and RStudio locally. This tutorial will guide you through the process.
Several helpful tutorials are available on the Stat2Labs page.
The Data Science and Social Inquiry Lab (DASIL) in HSSC S1310 is staffed by mentors who are experienced in R programming and may be able to troubleshoot coding problems you are having.
The Math Lab has tutors scheduled Monday-Sunday available to help with STA 209. Drop-in, as well as individual, on-going tutoring, is available. For details about lab hours and tutor schedules visit the Math Lab on GrinnellShare (login required).
You are strongly encouraged to attend your instructor’s office hours each week. You are welcome to come either with specific questions, or just with general uncertainties about content we’ve discussed. If you are unable to attend scheduled office hours, please email Jonathan (wellsjon@grinnell.edu) to schedule an alternative appointment.