A list of helpful resources (more to come)

R and RStudio

You can sign-up for a free semester-long subscription to DataCamp here (link available in #announcments channel on Slack). Recommended courses:

  • Introduction to Data Visualization with ggplot2
  • Data Manipulation with dplyr in R
  • Inference for Numerical Data in R
  • Inference for Lienar Regression in R
  • Inference for Categorical Data in R

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.

Help and Tutoring

Office Hours

All office hours are listed in Pacific Time. Refer to the Slack #announcements channel for Zoom links. Please feel free to drop by any of these hours to ask questions about lab assignments, daily reading, or topics from the course.

Peer Tutoring

Reed College provides each student one free hour of individual tutoring per course, per week. Book an individual tutor using the Reed Tutoring App.