reference.md

References

• Data Repositories

• 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)

• 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

• Yandell Data Club

• Profession Skills for Data Science (markdown version)

• Yandell Fall 2015 Stat 627 Moodle | Syllabus | Weekly Schedule