Resources

Mostly for R and data visualization

Data Visualization

• {ggplot2} style guide and showcase ({xaringan} + {flipbookr} presentation)

  • Penn Phonetics Lab [slides, code] (10/23/20)

  • Trueswell, Swingley, and Gleitman Lab [slides, code] (11/25/20)

R Programming

• Advanced R Book Club presentations

  • Chappter 6 - Functions [video, code] (11/9/20)

Tutorial Blog Posts

• {ggplot2} stat_*() functions [post]

• The correlation parameter in {lme4} mixed effects models [post]

• Shortcuts for common chain of {dplyr} functions [post]

• Plotting highly-customizable treemaps with {treemap} and {ggplot2} [post]

By others

Tutorials:

• A ggplot2 Tutorial for Beautiful Plotting in R by Cédric Scherer

• ggplot2 workshop by Thomas Lin Pedersen

Books:

• R for Data Science by Hadley Wickham and Garrett Grolemund

• R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, and Garrett Grolemund

• ggplot2: elegant graphics for data analysis by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen

• Fundamentals of Data Visualization by Claus O. Wilke

• Efficient R Programming by Colin Gillespie and Robin Lovelace

• Advanced R by Hadley Wickham