External Resources in Lessons

All resources presented at the end of each lesson are put in an easy-to-navigate table with the lesson and links to external resources.

Published

September 25, 2026

Lesson #	Lesson/Theme Name	Resources
6	Quarto documents	To learn more about working with Quarto, check out our BERD workshop: Creating Professional Presentations and Websites using R/Quarto
10	Health and Retirement Study (HRS)	Check out the codebook I made for us!
11	Packages	Danielle Navarro’s YouTube video on *Installing and loading R packages*: https://www.youtube.com/watch?v=kpHZVyDvEhQ If you want to get more information on packages Comprehensive R Archive Network (CRAN) = package mothership There is an additional textbook: Hands-On Programming with R by Garrett Grolemund Here is the chapter on packages
14	Objects	There is an additional textbook: Hands-On Programming with R by Garrett Grolemund Here is the chapter on objects Page on tibble package
16	Piping	Tidyverse style guide on pipes More on the two pipes Differences between the base R and magrittr pipes - Tidyverse blog post by Hadley Wickham Discussion of differences on Stack Overflow R 4.1.0 pipe overview Comparing pipes: Base-R \|> vs {magrittr} %>% this resource includes examples and also how to change the “default” pipe in RStudio from `%>%` to `\|>` (keyboard shortcut will use `\|>`)
20-23	Data transformations	`dplyr` cheat sheet See this slide from a previous BERD workshop. Also read the filter section in the “Data Transformation” chapter from R for Data Science (2e) Click here for a useful reference for all the different operators (both logical and comparison) that you can use. See more examples from the {tidyselect} webpage.
26-29	Data summarization
30-32	Data visualization (`ggplot2`)	`ggplot2` Cheatsheet in html form `ggplot2` Cheatsheet in pdf form List of complete themes Modify components of a theme Page on `ggsave()` Online textbook for `ggplot2`: https://ggplot2-book.org/ Another online resource for data visualization with `ggplot2`: https://socviz.co/index.html#preface Advanced Data Viz Class at Duke
		More to be added as course progresses!