Resources
Books, Websites, & Software
Textbooks
- R for Data Science by Hadley Wickham & Garrett Grolemund
- ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham
- Answering questions with data by Matthew Crump, Danielle Navarro, & Jeffrey Suzuki
- Answering questions with data: The lab manual for R by Matthew Crump, Anjali Krishnan, Stephen Volz, & Alla Chavarga
- Learning Statistics with R by Danielle Navarro (pdf version)
- OpenIntro Statistics a free statistics textbook
Software
- R
- RStudio
- RStudio Cloud (now called Posit Cloud)
- Quarto — what I used to generate this website, the assignments, the exams
Datasets
Other Potentally Useful Stuff
Guides
Books
- Fundamentals of Data Visualization by Claus Wilke
- Data Visualization: a practical introduction by Kieran Healy
- R Graphics Cookbook by Winston Chang
- R for Psychological Science by Danielle Navarro
A Great Statistics Textbook
If you are interested in learning more about statistics and experimental design, this is a wonderful in-depth book that will serve you well as a reference text for years to come. It is not a book that we are using for this course and you are not responsible for any material in it, for this course. It is more advanced than the books listed above, but it is a great resource for learning more about statistics and experimental design. It is expensive to purchase. You should absolutely not go searching for the book’s ISBN on sites like sci-hub.se or libgen.is.
- Designing Experiments and Analyzing Data—A model comparison approach by Maxwell, Delaney, & Kelley (3rd Ed.) ISBN 9781138892286
- companion website