General R Resources:
- UW CSSS508: My University of Washington Introduction to R course which forms the basis for the R component of this course. There’s more depth here but some of it may be out of date. All content is freely available including lecture recordings.
- R for Data Science online textbook by Garrett Grolemund and Hadley Wickham. One of many good R texts available, but importantly it is free and focuses on the
tidyverse collection of R packages which are the modern standard for data manipulation and visualization in R.
- Advanced R online textbook by Hadley Wickham. A great source for more in-depth and advanced R programming.
- What They Forgot to Teach You About R by Jenny Bryan and Jim Hester. Important overview of project management, maintaining your R installation, and debugging code. A must read!
- R Studio Primers: Online tutorials in R.
swirl: Interactive tutorials inside R.- Useful RStudio cheatsheets on R Markdown, RStudio shortcuts, etc.
- Code style guide for writing functions, etc.
- Good Enough Practices in Scientific Computing: From abstract, “This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill.”
Importing and Exporting Data