Additional resources

The following links will bring you to additional internet resources which beginners in R and data science might find useful. These resources are not affiliated with the introverse, so please let us know if one of these links breaks or if you have a resource to recommend by filing an issue here. Thanks!

Official tidyverse documentation and vignettes

• Documentation and command references
  • tidyverse homepage and official documentation
  • ggplot2 command reference
  • readr command reference
  • dplyr command reference
  • tidyr command reference
  • stringr command reference
  • forcats command reference
• Tidyverse style guide
  • A resource of recommended code style when programming in the tidyverse.
• Download Tidyverse cheatsheets
  • Rmarkdown cheatsheet
  • ggplot2 cheatsheet
  • dplyr cheatsheet
  • readr and readxl cheatsheet
  • tidyr cheatsheet
  • stringr cheatsheet
  • forcats cheatsheet

Resources from RStudio

• RStudio Cloud primers
  • Interactive resources for practicing certain R and tidyverse skills
• RStudio Resources (all levels of videos/tutorials)
  • Expansive set of webinars compiled by RStudio, ranging from beginner to expert levels

Books, online course materials, and articles

Don’t buy the books unless you want to! They are all freely available online.

• R for Data Science by Garrett Grolemund and Hadley Wickham
  • The “official” book for working with the tidyverse. Examples in the book may assume more background knowledge than computing novices have.
• ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen
  • The “official” ggplot2 book.
• Data Visualization: A Practical Introduction by Kieran Healy
  • Introduces ggplot2, including the philosophy of the grammar of graphics and using many geoms. Again, some examples may assume more background knowledge than computing novices have.
• Rmarkdown: The Definitive Guide by Yihui Xie, J. J. Allaire, and Garrett Grolemund
  • Comprehensive manual on using R Markdown
• Fundamentals of Data Visualization by Claus O. Wilke
  • Introduces concepts and principles in data visualization. This book does not contain code or teach ggplot2.
• Twitter for Scientists and Twitter for R Programmers
  • Comprehensive and clear introductions to using twitter and interacting with the extremely wonderful #rstats community, which itself helps to learn R and data science
• The “Tidy Data” paper by Hadley Wickham
  • Introduces the philosophy of “tidy data”
• STAT545 Resources
  • Assumes statistics/programming background
• Introduction to Data Science e-book
  • Comprehensive data science book
• Data Science in a Box
  • A collection of resources, lessons, tutorials, and exercises for mastering data science techniques in R within the tidyverse framework.
• Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin
  • Open-source statistics textbook
• Calling Bullshit Course Website by Carl Bergstrom and Jevin West
  • Not specifically, or even at all, about R programming or data science, but teaches critical thinking skills needed in data visualization, analysis, and interpretation