If you want to try out GitHub Actions for #rstats packages, we have custom actions and example workflows at https://t.co/R94ru1USN1 https://t.co/VH4hsK7QyG
— Jim Hester (@jimhester_) November 13, 2019
If you want to try out GitHub Actions for #rstats packages, we have custom actions and example workflows at https://t.co/R94ru1USN1 https://t.co/VH4hsK7QyG
— Jim Hester (@jimhester_) November 13, 2019
Tensorflow for R: Variational convnets with tfprobability https://t.co/wMHh79mlRX #rstats #rkeras pic.twitter.com/aKTcnqRNfX
— RStudio (@rstudio) November 13, 2019
To all the Bayesian enthusiasts: Please check out our (Jonah Gabry, @mjskay and my) new R package 'posterior' which is designed to help users and developers working with posterior (and prior) draws. The current alpha version is available at https://t.co/2qleIBF5pU
— Paul Bürkner (@paulbuerkner) November 12, 2019
How to create @drob’s favorite graph:
— Emily Robinson (@robinson_es) November 9, 2019
1. count()
2. Reorder by the count with fct_reorder()
3. Make a bar plot with geom_col()
4. Flip with coord_flip() to easily read the labels #rstatsdc pic.twitter.com/T2BhXB8aNq
.@data_stephanie showed us how to make amazing race plots with gganimate 📊🤯
— David Robinson (@drob) November 8, 2019
Slides and code here! https://t.co/DFP2LGKxmp#rstatsdc pic.twitter.com/02QvvVlnR8
Want to make a beautiful CV in < 20 minutes that works online AND when you print it? Check out pagedown, which has templates for CVs, business cards, posters, and more!#rstatsdc @sctyner https://t.co/HoyRc5MeX2 pic.twitter.com/5CUsk1EXTD
— Emily Robinson (@robinson_es) November 8, 2019
Watch "A guide to modern reproducible data science with R" with @_inundata from rstudio::conf(2019)
— RStudio (@rstudio) November 6, 2019
🎦https://t.co/iuc1jTKQ1F
Learn more about and register for rstudio::conf(2020) in San Francisco at https://t.co/rYJqkzCywm #rstudioconf #rstats #DataScience pic.twitter.com/cTTYvo36VM
📦 Newness in one of my fave EDA pkgs…
— Mara Averick (@dataandme) November 4, 2019
🙌 "(Re)introducing skimr v2 - A year in the life of an open source R project" by @michaelquinn32 & @ElinWaring https://t.co/u6nUxonjiN #rstats pic.twitter.com/W9HygsMG02
In this #tidytuesday screencast, I analyze a dataset of squirrels in Central Park🐿️🐿️🐿️
— David Robinson (@drob) November 1, 2019
This includes a visualization from NYC shapefiles, as well as a quick Shiny app to explore how squirrel behavior varies across the park!https://t.co/uXxrdgzaUQ #rstats pic.twitter.com/TlGCpqHqGd
🤯 @nj_tierney's post, "Glue magic Part I," blew my mind re. the origin story of paste() vs. paste0(): https://t.co/KUBUilM7YT
— Mara Averick (@dataandme) October 24, 2019
❓ Any other fave #rstats tidbits that made things more memorable? pic.twitter.com/MDDRL7ZMt7
Samesies for her "R for Psychological Science"https://t.co/R9dFzH0bIB #rstats
— Mara Averick (@dataandme) October 24, 2019
/* summary: @djnavarro is an absurdly excellent writer */ pic.twitter.com/9Ha2jkHk3v
⚡️ Making its CRAN debut…
— Mara Averick (@dataandme) October 22, 2019
📦 "readthat: Read Text Data" by @kearneymw https://t.co/V5HMXW32km #rstats pic.twitter.com/peXrrtotbm