BRRR-ooke's #rstatsnyc talk is 🔥 every time!
— Mara Averick (@dataandme) February 3, 2019
"Open Source Sampling: building and remixing 📦s in R" 👩🎤 @brookLYNevery1
📽 https://t.co/sKx75Zs5zN
🎥 https://t.co/k5xKD9D1Dm#rstats pic.twitter.com/HbcKgjgocZ
BRRR-ooke's #rstatsnyc talk is 🔥 every time!
— Mara Averick (@dataandme) February 3, 2019
"Open Source Sampling: building and remixing 📦s in R" 👩🎤 @brookLYNevery1
📽 https://t.co/sKx75Zs5zN
🎥 https://t.co/k5xKD9D1Dm#rstats pic.twitter.com/HbcKgjgocZ
Writing this up is super useful — thanks!
— Hadley Wickham (@hadleywickham) February 3, 2019
This post from @realAKJackson is a wonderful way to use a blog. Takes hard-earned experience- here, the differences in accuracy between free geocoding engines- and shares it with everyone
— David Robinson (@drob) January 31, 2019
Conclusions, code, concrete examples 🗺️👏https://t.co/jKsxjBui4L #rstats #datablog pic.twitter.com/c0yg57CrFm
🔎 A new site for missing-data R resources!
— Mara Averick (@dataandme) January 31, 2019
"Introducing 'R-Miss-Tastic'" 🕵️♂️ @nj_tierneyhttps://t.co/CRwQIDM9iF #rstats
🔗 https://t.co/EZvQPhcbiJ
ICYMI, 📣 Updated edition…
— Mara Averick (@dataandme) January 26, 2019
📄 "Data transformation w/ data.table cheat sheet" by Erik Petrovskihttps://t.co/1Iw0HT0WJO #rstats #rdatatable pic.twitter.com/RxokRnL1MK
Loving @JennyBryan's opening to her talk...
— Mara Averick (@dataandme) January 26, 2019
💬 "What is tidy evaluation? Is it going to kill you or us?"
🎥 "Lazy evaluation"https://t.co/CoglMX42f2 #rstats #rstudioconf
What a great #rstudioconf talk by @earowang!
— Emi Tanaka 🌾 (@statsgen) January 25, 2019
🕰️ Melt the time: Tidy time series analysis
📹 https://t.co/h6KAIhRBAO
🔗 https://t.co/SJGOJdTXzK
📦 `tsibble` + `fable` #rstats packages for tidy time series analysis pic.twitter.com/5DI44AJ73r
In this week's #tidytuesday screencast, I analyze incarceration data over time. I show how to make animated choropleths on a county level, and how to examine and deal with missing data https://t.co/nROf2agKcO #rstats pic.twitter.com/UAnwsbdSoq
— David Robinson (@drob) January 25, 2019
Excited to watch the #rstudioconf talks I missed! Some I was able to catch live and **highly** recommend (thread): @skyetetra & @heatherklus on their work at T-Mobile doing API development with R and tensorflow - #rstats can be used in production!https://t.co/9UXq3GUhQL 1/
— Emily Robinson (@robinson_es) January 25, 2019
The video of my #rstudioconf talk, "Box plots: a case study in debugging and perseverance" is here. I had so much fun telling the story of this ggplot2 bug! https://t.co/Glio435iTb
— Kara Woo (@kara_woo) January 25, 2019
.@AllanDButler used #tidyverse tools like broom, tidyquant and timetk to analyze and predict Super Bowl sales. A really useful case study in forecasting! 🏈💸 https://t.co/NgC1m6sie7 #datablog pic.twitter.com/dqaiPGNpjA
— David Robinson (@drob) January 25, 2019
it depends: A dialog about dependencies
— Jim Hester (@jimhester_) January 25, 2019
My talk about dependencies in #rstats given at #rstudioconf 2019
video 📹: https://t.co/q6Je94JFkS
slides 📽️: https://t.co/7uUF1H0drK
package 📦: https://t.co/RtdcQByMMJ pic.twitter.com/qBDw5M7FX5