After looking through the #rstudioconf 2020 videos for material on how to improve my #Rstats workflow, I found *exactly* what I was hoping for in @EmilyRiederer's R Markdown Driven Development! More gems in thread

Video: https://rstudio.com/resources/rstudioconf-2020/rmarkdown-driven-development/
Blog: https://emilyriederer.netlify.app/post/rmarkdown-driven-development/

@xieyihui's #RStats presentation covered different demos from a single R Markdown document: inverting colors of the html output w a little #css, {rolldown}, {pagedown}, {learnr}, and more.

Incredibly informative and super entertaining

Video: https://rstudio.com/resources/rstudioconf-2020/one-r-markdown-document-fourteen-demos/

@ClausWilke walks through the magic of the #RStats {ggtext} showing how to incorporate...

italicized text
bold text
super- and sub-scripts
different font sizes/families + color
images

...as formatted text to { #ggplot2} figures!

https://rstudio.com/resources/rstudioconf-2020/spruce-up-your-ggplot2-visualizations-with-formatted-text/

@EvaMaeRey highlights the many features of her #RStats {flipbookr} + live demos how to create a #ggplot2 flipbook in just minutes!

This is going to be *so* helpful in my ongoing struggle to figure out what goes inside versus outside aes()...

https://rstudio.com/resources/rstudioconf-2020/flipbooks-evangeline-reynolds/

@JennyBryan's keynote all about debugging strategies was . She walks through practical things to implement *before* you even get stuck AND *while* debugging your #RStats.

Ex:
rm(list=ls()) is not enough!
{reprex} strong ally
Materials: https://github.com/jennybc/debugging#readme