R References

• Learning R
• Courses, Intros, and Webinars
• Specific Topics
• Miscellaneous
• Yandell Material (dated)

Learning R

• R generation 25 (Significance)
• R for Data Science by Garrett Grolemund and Hadley Wickham (ebook)
• Data wrangling, exploration, and analysis with R by Jenny Bryan (course)

• Data Carpentry: R for Ecologists (workshop)

  Karl Broman version

• Data Analysis for the Life Sciences by Rafa Irizarry and Michael Love (edX series & book)
• RStudio Cheatsheets
• RStudio Communities
• R Language Tips & Tricks
• Lemon Kickstart R
• Introduction to Data Science with R by David Langer
• Data Skeptic by Kyle Polich
• Data 8: The Foundations of Data Science (UC Berkeley) (see undergrad program report)

Courses, Intros, and Webinars

• Statistical Computing Courses by Karl Broman
• Introduction to R for Python Users by Ramnath Vaidyanathan
• Advanced R by Hadley Wickham (ebook)
• Using R and RStudio at Amherst College (Book)
• RStudio Webinars
  • Webinar GitHub

  • rstudio::2017 Slides

    rstudio::2017 Videos

• https://www.rdocumentation.org/
• https://open.nasa.gov/explore/
• Modern Dive by Chester Ismay and Albert Y. Kim
• Stackoverflow R Tags

Miscellaneous

• Data Repositories
• toolero: A Toolkit for Research Workflows (CRAN)
• R in VS Code with Radian
• Base R(4.1+) |> vs magrittr %>% pipe

Yandell Material (dated)

• Yandell Data Club
• Profession Skills for Data Science (markdown version)

• Yandell Fall 2015 Stat 627 Moodle

  Syllabus

  Weekly Schedule