CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks https://t.co/NUeLooyNBr pic.twitter.com/s761nbEOfC
— Guillaume Rousselet (@robustgar) March 8, 2019
CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks https://t.co/NUeLooyNBr pic.twitter.com/s761nbEOfC
— Guillaume Rousselet (@robustgar) March 8, 2019
I am super excited to finally give ggforce the update it deserves. Read all about the new CRAN release here #rstats #ggplot2 https://t.co/9XNxmqldQT
— Thomas Lin Pedersen (@thomasp85) March 7, 2019
👍 Nice post — questions interwoven w/ code and viz…
— Mara Averick (@dataandme) March 4, 2019
🚍 "Displaying bus punctuality" by @tslumley https://t.co/4BxnGUIXlO #rstats #dataviz pic.twitter.com/1xbojnzed6
Today Roger Federer won his 100th ATP tournament — the first player ever to do so.
— John Burn-Murdoch (@jburnmurdoch) March 2, 2019
I made a chart showing his peerless progress, and I’ve published the full step-by-step process for going from the #rstats #ggplot2 defaults to the end product https://t.co/6F0Bcqdmk3 #dataviz pic.twitter.com/UmrwjmM1hY
There’s no perfect solution to this problem, but I think the tidyverse does a pretty great job
— David Robinson (@drob) March 1, 2019
Strategy as I see it is:
-each function does one thing well
-organize into packages centered around one area
-organize into an ecosystem we call “tidyverse” https://t.co/bMme1sxxV9
#gganimate showing how 10,000 die rolls converge on an even distribution
— David Robinson (@drob) February 25, 2019
Inspired by this animation from u/Thaufas on Reddit:https://t.co/RCpvss9P0X #rstats pic.twitter.com/U7OGmm5Xar
Finally had a chance to watch @earowang's #RStudioConf talk on tidy time-series forecasting. Made me eager to dive into the tsibble and fable #rstats packages!
— Sharon Machlis (@sharon000) February 24, 2019
Video of the talk: https://t.co/eVc2k30kb5
tsibble: https://t.co/tmnPdLYL0o
fable: https://t.co/zG6ZA5jwzI
Neat 📦 by @jacobandrewlong w/ nice vignettes!
— Mara Averick (@dataandme) February 19, 2019
🧰 "interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions" https://t.co/fF5fLLYvq4 #rstats #dataviz pic.twitter.com/zPePqwOMXw
New experiment: visualising Chinese urbanisation using elevation-style hillshade based on @CopernicusEU built-up-area data, rendered with @tylermorganwall’s rayshader
— John Burn-Murdoch (@jburnmurdoch) February 18, 2019
Code here for getting and transforming data, rendering plots: https://t.co/Pf9YBOBbZ7 #rstats #dataviz #gistribe pic.twitter.com/fBANcbhSBi
I became the one of the maintainers of #ggplot2-exts, a nice showcase of ggplot2 extension packages📦 by @emaasit. If you notice some must-know extension is not listed here, please send us a PR! #rstats
— Hiroaki Yutani (@yutannihilat_en) February 11, 2019
Gallery: https://t.co/BMl5U7jbor
repo: https://t.co/8qrfXVTNmm pic.twitter.com/D4aSGlcol4
📄⇩ Learn all about {pagedown} in Yihui's excellent talk:
— Mara Averick (@dataandme) February 8, 2019
"pagedown: Creating beautiful PDFs with R Markdown and CSS" 🗣 @xieyihui https://t.co/QM0q1YLecn #rstats #rmarkdown
📦https://t.co/WiqwMjq8P3 pic.twitter.com/nx7KJRTNpC
Using #rstats and gganimate, here's the longest punt in Super Bowl history (65 yards) by @JHekker via @NextGenStats pic.twitter.com/lnw9OoGUrn
— Michael Lopez (@StatsbyLopez) February 4, 2019