Kyle Hamilton
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wkylehamilton.bsky.social
Kyle Hamilton
@wkylehamilton.bsky.social
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#rstats developer
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Reposted by Kyle Hamilton
amelia.mn
Feels like a good time to re-share my paper comparing teaching #rstats formula and #tidyverse syntaxes. (Not quite a base/tidyverse comparison, I couldn't bring myself to do that. But if YOU feel passionately about it, why don't you run that experiment?) Again, PDF format is the one to look at.
November 14, 2024 at 9:51 PM
Reposted by Kyle Hamilton
kylewalker.bsky.social
In the United States, Census data are among the most useful datasets for analysts across industries and disciplines.

I've been maintaining the tidycensus #rstats package for several years, and I firmly believe that it's the best way to get Census data.

If you haven't used it, here's an intro 🧵:
November 13, 2024 at 8:49 PM
Reposted by Kyle Hamilton
dariia.bsky.social
Just 3 days left until this workshop, so don't miss your chance to register!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky
#RStats
dariia.bsky.social Dariia Mykhailyshyna @dariia.bsky.social · Nov 15
❗️Our next workshop will be on November 21st, 6 pm CET on Difference-in-Differences with Applications in R by
@eibinget.bsky.social!
Register or sponsor a student by donating to support 🇺🇦!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats
November 18, 2024 at 8:11 AM
Reposted by Kyle Hamilton
andrew.heiss.phd
Had a blast teaching this today! All the #rstats materials are available at talks.andrewheiss.com/2024-11-13_u...
Go beyond OLS! An introduction to Poisson, Beta, and zero-inflated Beta Bayesian distributional regression While ordinary least squares (OLS) regression is an important method for modeling relationships, it’s not always well-suited for outcome variables that are proportions (bounded between 0–100%) and counts (limited to whole numbers). In this workshop, you’ll learn how to use Bayesian regression techniques to get richer and more detailed information from more specialized types of data. Using R, Stan, {brms}, and {marginaleffects} you’ll learn how to (1) correctly model counts and proportions and (2) process, plot, interpret, and communicate the results. Author Andrew Heiss Affiliation Georgia State University Published November 13, 2024 Workshop presented at the Département de science politique at the Université de Montréal Plot showing the predicted count of anti-LBGT-discrimination laws across a range of urbanness in Democratic, Republican, and swing states, using Bayesian Poisson regression Plot showing the predicted proportion of protected-at-birth tetanus vaccination rates across a range of GDP per capita and 6 different global regions, with vertical lines showing the slopes of the predicted lines for some typical/hypothetical countries, all using Bayesian Beta regression Plot showing multiple Beta distributions across two different parameterizations (shapes and µ+φ)
November 13, 2024 at 10:08 PM
Reposted by Kyle Hamilton
nrennie.bsky.social
The {messy} R package now has a pkgdown site with documentation: nrennie.rbind.io/messy/

#RStats #StatsEd
November 17, 2024 at 4:16 PM
Reposted by Kyle Hamilton
jenventress.bsky.social
glad to be here!
November 17, 2024 at 11:40 PM