Super excited and honored to have @StatGarrett speak at #rmed2022!!

Educators at #RStudioConf! Catch the Academy team at the Lounge to learn more about how we teach data science and where you could fit as a mentor. More info at https://t.co/Q1vfYkrMTN #RStudioConf2022

While writing the 3rd edition of my book. I redid the famous test of @StatGarrett in my R 4.1.0 Windows. I'm in shock of how much loops in R got faster. The result of abs_loop() is ~16x faster that @StatGarrett results documented in his 2014 book. R is awesome! 😎 #RStats

Call for papers: Teaching reproducibility and responsible workflow @AmstatNews @JStatEd Modern statistics and data science utilizes an iterative data analysis process to solve problems and extract meaning https://t.co/UyZ2U92v3q @Project_TIER 1/4

Register for rstudio::global(2021) Now! A 24-hour virtual event focused on all things R and RStudio. Learn more and register now at https://t.co/BF0LNp316b #RStudio #RStats #DataScience

Thank you @collapse_R for making a cheatsheet for the #collapse #rstats package: fast data transformations implemented with C/C++. https://t.co/PirT6Grmls

🍾🤩 Wrote an intro to #RMarkdown to write reproducible & dynamic documents. Borrowed a lot from @StatGarrett & @ulyngs #ReproducibleReseearch #rstats 🧑‍🏫 Slides: https://t.co/f9GRstob5R 👩‍💻 Code: https://t.co/eeQNrmhroS 🧑‍🎨 Illustrations: https://t.co/jsa6UM1ByJ @allison_horst

Thank you @JosephLarma for creating a #rstats cheatsheet for the #labelled package for working with labelled data. Available at https://t.co/PirT6Grmls

Thank you @rivaquiroga for translating the #rstats syntax comparison cheatsheet into Spanish. Available at

We at #kakaporecovery are hugely grateful to @hadleywickham and @StatGarrett for this - and all those who donate! Those donations make a huge difference to our work. And to complete the circle, I use #RStats heavily to analyse #kakapo data.

Thank you @BrunaLuizaSi for making an #rstats cheatsheet on the #VEGAN package for descriptive community ecology. Available here, https://t.co/uW5LHK3UtP

Thank you @gbarcaroli for making an #rstats cheatsheet on the #SamplingStrata package, optimal stratification for survey sampling. Available here, https://t.co/uW5LHK3UtP

Thanks to @StatGarrett, the tidy data chapter of R4DS now uses pivot_longer() and pivot_wider(): https://t.co/7CsxP3db1l! #rstats

Thank you @gabbspalomo for making an #rstats cheat sheet for the #oscr package for Spatial Capture Recapture data! Available at: https://t.co/PirT6Grmls @rstudio

In case you missed it: check out Twas the First #TidyTuesday, a poem thanking @thomas_mock for bringing us such great data! https://t.co/8nHEMQI0iK Also features nods to @StatGarrett and @hadleywickham #rstats #dataviz

Thank you @yabellini for translating the #lubridate and Data Import #rstats cheatsheets to Spanish! Available at

This is a big deal: https://t.co/kzdugtKMZX #rstats

Thank you @GloriAroissant and @xiayunj for making an #rstats cheat sheet for time series! Available at https://t.co/PirT6Grmls @rstudio

Thank you @anguyen1210 for making a cheatsheet of common translation from #stata to #rstats! Available at: https://t.co/PirT6Grmls @rstudio

As announced at #LatinR2019, the translation to Spanish of “R for Data Science” by @hadleywickham & @StatGarrett is complete ✔️ and can be found here 🔗 https://t.co/66amapZrm3 #rstat #rstates #r4ds (yes! free, open, for the whole 🗺️) 2/n