Garrett Grolemund

Data Scientist and Master Instructor for RStudio

[Stephan Kadauke, MD, PhD @StephanKadauke]

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

[Garrett Grolemund @StatGarrett]

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

[Garrett Grolemund @StatGarrett]

@cogscimom @hadleywickham This talk might be of interest, https://t.co/4Ja3ZdiV4T it is about fighting the replication crisis with code.

[Garrett Grolemund @StatGarrett]

@cogscimom @hadleywickham You are too right @cogscimom! But perhaps there is a difference in how science unfolds at the individual level and at the societal level🤞.

[Garrett Grolemund @StatGarrett]

@EmEmEff I just made that diagram to illustrate an idea about teaching. It isn't official documentation about ggplot2 (nor is it particularly complete or up-to-date), but here is the entire diagram if you want it.

[Garrett Grolemund @StatGarrett]

@josealburgosd @PedroPark9 Likely not. I used some standard issue 2012 laptop, but if @PedroPark9 used a modern equivalent, it at least suggests how life has gotten better for the average data scientist.

[Pedro (@[email protected]) @PedroPark9]

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

[Garrett Grolemund @StatGarrett]

@lasrubieras I believe R Markdown inherited that straight from regular Markdown.

[Garrett Grolemund @StatGarrett]

@1sadiaz It depends on the talk, but if you are finding the videos at https://t.co/Too6ndcaiW, like https://t.co/4Ja3ZdiV4T, there will be a View Materials button that links to the slides (whenever available)

[Nicholas Horton @askdrstats]

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

[Garrett Grolemund @StatGarrett]

@c0nc0rdance @hedleyquintana @rstudio Thank you @c0nc0rdance and thank you @rstudio. @rstudio gives me and so many others the opportunity to help out for a living.

[Garrett Grolemund @StatGarrett]

@tonifontana5 @rstudio @dataandme I am not aware of one, but you could contact the publisher, O'Reilly Media to see if one is available or in the works.

[Garrett Grolemund @StatGarrett]

Hands-On Programming with R is now available for free online, https://t.co/GNEGOVeM8h! Please help me spread the word. Thank you O'Reilly for the CC! #rstats #bookdown @rstudio @dataandme

[Garrett Grolemund @StatGarrett]

@JonTheGeek One downside of teaching explicit return() style to beginners, is that it is easy for them to believe that output will not be returned unless they call return(), which can cause trouble because it is not true.

[Garrett Grolemund @StatGarrett]

@Ednever Here's the source https://t.co/HeB9xFng4F. FWIW, the slide has an error (10^4 -> 10^5). I strongly recommend going back to the source. It is not clear to me that I interpreted it correctly two years ago

[Garrett Grolemund @StatGarrett]

@mayornla_ Sorry, I don't use the plumber package enough to be familiar with it. My best advice is to look here: https://t.co/bNd2onYy1d

[Posit PBC @posit_pbc]

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

[Garrett Grolemund @StatGarrett]

@jeffkell It definitely is. I cannot recommend enough @hadleywickham's Advanced R as a source for more about this and everything else in R when you are ready for it. He talks about some use cases in https://t.co/Tl6zJRMzRd

[Garrett Grolemund @StatGarrett]

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

[Olivier Gimenez 🖖🦦 @oaggimenez]

🍾🤩 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

[Garrett Grolemund @StatGarrett]

@ManikKaushal6 @juliasilge @jdatap @shinydevseries @rOpenSci @divadnojnarg Here's a good place to start, https://t.co/6JNAqP16xi and also https://t.co/skBKlVF4Pc