Software and resources
Main: Github profile, R-universe profile
Packages
ggtrace
Programmatically explore, debug, and manipulate ggplot internals. A low-level interface that extends base R's trace, plus workflow functions that make ggplot internals more accessible.
GitHub Website useR! 2022 talk rstudio::conf 2022 talk Paper
ggcolormeter
Adds guide_colormeter(), a ggplot2 color/fill legend in the style of a dashboard meter.
LingWER
Linguistic analysis of Word Error Rate for evaluating transcriptions and other speech-to-text output, using a deterministic matrix-based search algorithm.
gridAnnotate
Interactively annotate figures from the plot pane, using {grid} graphical objects.
Slides and materials
- {ggplot2} style guide and showcase: most recent version (2/10/2021)
- Cracking open the internals of ggplot, a {ggtrace} showcase: slides
Workshop and talk materials are listed on the Research page.
Learning R and data visualization
My tutorial posts (all of them are under the tutorial category):
- {ggplot2} stat_*() functions (post)
- Custom fonts in R (post)
- {purrr} reduce() family (post 1, post 2)
- 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)
Tutorials by others:
- A ggplot2 Tutorial for Beautiful Plotting in R by Cédric Scherer
- ggplot2 Wizardry Hands-On 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
Other contributions
I am listed as a contributor in:
I have also contributed via PRs to: