Nice resource from the great @minebocek to aggregate #rstats analyses and representations of Covid-19 https://t.co/oj03udzHzv pic.twitter.com/OnibH4UR4B
— Michael Lopez (@StatsbyLopez) March 23, 2020
Nice resource from the great @minebocek to aggregate #rstats analyses and representations of Covid-19 https://t.co/oj03udzHzv pic.twitter.com/OnibH4UR4B
— Michael Lopez (@StatsbyLopez) March 23, 2020
In this #rstats screencast, I parse and explore the COVID-19 Open Research Dataset Challenge (CORD-19) hosted by @kaggle. Includes:
— David Robinson (@drob) March 18, 2020
* tidyr's hoist + unnest_wider for rectangling JSON data
* tidytext + spacyr + scispacy for named entity recognitionhttps://t.co/674sACxPZZ pic.twitter.com/jkaMp7X4MX
Finally, a single correlation #rstats 📦 to rule them all?! 🙌🧮https://t.co/Cu8v7IPRvD
— Indrajeet Patil (@patilindrajeets) March 18, 2020
✅ supports ~ every correlation under 🌞:
pearson, kendall, spearman, biserial, poly/tetrachoric, biweight, distance, % bend, Shepherd's Pi
✅ handy #dataviz tools:https://t.co/GVh9HAxVMg pic.twitter.com/Y6h4l7ncU6
Delighted (*ashamed) to announce that my lecture slides introducing dplyr are now not only available online, but are also on YouTube. I am so sorry.https://t.co/luRN3Mdlwm
— Danielle Navarro (@djnavarro) March 18, 2020
📝 "How to create decorators in R" by Andrew Treadway https://t.co/P1RMWt68qx
— Mara Averick (@dataandme) March 17, 2020
📦 "{tinsel}: Decorating functions in R" by @ntweetor https://t.co/OCllKqT6zy
🍔 Decorate your #rstats functions, or don't. Eat Arby's. (my version starring @nihilist_arbys) pic.twitter.com/Q5bEeOXB90
📊 Code through *and* a new data pkg!
— Mara Averick (@dataandme) March 16, 2020
🗳 "U.S. Census Counts Data" by @kjhealyhttps://t.co/wLcw9cZnh3 #rstats #dataviz pic.twitter.com/LUUrwBHroY
I'm blown away by just how comprehensive the `performance::check_model` is! 🤯https://t.co/f7NnPPKAJ3
— Indrajeet Patil (@patilindrajeets) March 3, 2020
Enter the model object & it checks for:
✅ normality of residuals
✅ normality of random effects
✅ heteroscedasticity
✅ homogeneity of variance
✅ multicollinearity#rstats pic.twitter.com/u7fbFFDbYO
Interested in analyzing #coronavirus data in R? There's now an #rstats package with data from the @hopkinsengineer repository. Pkg updates daily:https://t.co/GeKveyvMTx
— Sharon Machlis (@sharon000) March 2, 2020
Shiny dashboard w/ that data: https://t.co/RXhGBCjE13
Dashboard code: https://t.co/RXhGBCjE13
by @Rami_Krispin pic.twitter.com/hqAZCGOaBt
Amazing!
— RStudio (@rstudio) February 19, 2020
And here's @jkregenstein's book and blog, https://t.co/3h7qrf4dko https://t.co/B2sUZP8toS
gghighlight 0.2.0 is released on CRAN! I blogged about a few new features that you might need. #rstats
— Hiroaki Yutani (@yutannihilat_en) February 17, 2020
gghighlight 0.2.0 | Wannabe Rstats-fu https://t.co/abK75A6U4x pic.twitter.com/AmGYNWQgXY
Neat tree of dplyr actions by @alexcourtiol & @rdataberlin:
— Mara Averick (@dataandme) February 10, 2020
📑 "Rguides: Data transformation with {dplyr}" https://t.co/g6ECT9uGov #rstats pic.twitter.com/uFtaSbaayQ
🔗to the @robjhyndman #rstudioconf2020 slides: https://t.co/PVuESDrXCe
— Emi Tanaka 🌾 (@statsgen) January 30, 2020
Sometimes I think our head of department excels in too many things that I have to work harder to catch up https://t.co/BIpUFqNdwo