🤯 So many great talks today @ #rstudioconf, I think @_inundata's is gonna change how I do things on the daily…
— Mara Averick (@dataandme) January 18, 2019
đź“‘ "A guide to making your data analysis more reproducible"https://t.co/oCvPRKbNdj feat. {drake}, @mybinderteam (đź‘‹ @choldgraf), {piggyback} and MOAR! pic.twitter.com/u90wseVuxq
The parsnip 📦 is really cool- it offers consistent fit() and predict() methods for each ML model
— David Robinson (@drob) January 17, 2019
Also offers multi_predict for methods like glmnet that return multiple predictions per observations (as a nested list column)#rstudiconf @topepos pic.twitter.com/DUPvn3XVLv
Thanks to everyone who watched my talk, “Building an A/B Testing Analytics system with R and Shiny!” Slides available here: https://t.co/Rd3AtrEUya. Recording will also be available at some point.
— Emily Robinson (@robinson_es) January 17, 2019
Don't miss @alexpghayes's slides, where he shows code examples of bootstrapping and examining residuals using broomhttps://t.co/Zd2w2JOYWk #rstudioconf pic.twitter.com/mqBnabaWb0
— David Robinson (@drob) January 17, 2019
.@robinson_es introduces her funneljoin package: a dplyr-like approach to answering questions like:
— David Robinson (@drob) January 17, 2019
* How many users did X then Y?
* What % of people who did X did Y?
* What was the last thing users did before doing Y?
Find it on GitHub: https://t.co/PCzBDKgjXw#rstudioconf pic.twitter.com/q4w51PdfNP
.@AmeliaMN on the necessity and dangers of working with categorical variables (and the slightly mitigated dangers of doing that in the tidyverse with forcats) #RStudioConf pic.twitter.com/c6LZSYFGDm
— Brooke Watson (@brookLYNevery1) January 17, 2019
Yes, I’ve:
— Angela Li (@CivicAngela) January 17, 2019
đźš« reordered my factors in incorrect ways
đźš« gotten confused as to why my factors were actually just numbers (?!)
🚫 said “why would I ever want “stringsAsFactors=TRUE”?
âś… sighed in relief using #forcats fxns
I feel ~affirmed and heard~ by this talk at #rstudioconf https://t.co/G9dwCCw3oa
Slides for my #rstudioconf talk “Box plots: a case study in debugging and perseverance” are here: https://t.co/IysLF1uGWF
— Kara Woo (@kara_woo) January 17, 2019
If you missed our #RStudioConf talk, you can get the slides, code, and blog posts all here! https://t.co/AWhBgYis5Y
— Jacqueline Nolis (@skyetetra) January 17, 2019
.@skyetetra & @heatherklus built a machine learning model in R and deployed it in production, without Python, to 70 million T mobile users (!!!) #RStudioConf pic.twitter.com/0yR7xzrBSG
— Brooke Watson (@brookLYNevery1) January 17, 2019
Wow! @skyetetra + @heatherklus open sourced their setup for a production-ready Tensorflow API, powered by R, keras, and plumberhttps://t.co/rdnC2gH3jF #rstudioconf pic.twitter.com/S44pyGOQxS
— David Robinson (@drob) January 17, 2019
.@jcheng on making FAST shiny apps in production: #RStudioConf pic.twitter.com/LQ609x8X5m
— Brooke Watson (@brookLYNevery1) January 17, 2019
