Licensing and copyright information
The course material is licensed under the Creative Commons ShareAlike 4.0 International License. In addition to my own developed material, I have also modified material from the courses, workshops, and textbooks listed below:
| Name | Author | Links |
|---|---|---|
| STAT 545 | U. of British Columbia | course; github |
| R for Data Science | Garrett Grolemund & Hadley Wickham | book; github |
| Handling Strings with R | Gaston Sanchez | book; github |
| EEB313: Quantitative Methods in R for Biology | U of T Coders | course; github |
| Modern Dive | Chester Ismay & Albert Y. Kim | course; github |
| Learning statistics with R | Danielle Navarro | course; github |
| R for Psychological Science | Danielle Navarro | course; github |
| What They Forgot to Teach You About R | Jennifer Bryan & Jim Hester | course; github |
| Introduction to Open Data Science | The Ocean Health Index Team | course; github |
| Software Carpentry | software-carpentry.org | lessons |
| Data Analysis and Visualization in R for Ecologists | François Michonneau & Auriel Fournier | course; github |
| Data Analysis and Visualization in R alpha | Data Carpentry contributors | course; github |
| CMU 15-112: Fundamentals of Programming | David Kosbie & Kelly Rivers | Spring 2017 Course |
| R for Reproducible Research | Anna Krystalli | course; github |