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Posts tagged #rstats

CRAN removals: BIGDAWG haplo.ccs haplo.stats IFP pould SNPassoc #rstats

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CRAN updates: gutenbergr mixedBayes mvtnorm PAutilities photobiology rugarch tsdistributions #rstats

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CRAN updates: plotthis #rstats

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R for Social Network Analysis by David Schoch
#RStats
bigbookofr.com/chapters/social%20scienc...

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CRAN updates: dataSDA #rstats

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CRAN doc collections

bigbookofr.com/chapters/other%20compend...
#RStats

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Calculating pi from coin flips (without randomness)
Calculating pi from coin flips (without randomness) YouTube video by Stand-up Maths

This video is *bananas*—you can estimate π from a ton of random coin flips bc the expected prop of heads/total after 50%+ of the flips are heads = π/4

Here's an #rstats version I made of Matt's Python code in the video gist.github.com/andrewheiss/...

With 10 million random flips I got 3.131381

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Preview
Introduction to GitHub: Collaboration Basics for R Users Workshop Cascadia R Conference is an R conference serving the Pacific Northwest region (Alaska/British Columbia/Washington/Oregon/California).

📣𝘾𝙖𝙨𝙘𝙖𝙙𝙞𝙖 𝙍𝘾𝙤𝙣𝙛 𝙒𝙤𝙧𝙠𝙨𝙝𝙤𝙥 𝙎𝙥𝙤𝙩𝙡𝙞𝙜𝙝𝙩𝙨📣

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗶𝘁𝗛𝘂𝗯: 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗕𝗮𝘀𝗶𝗰𝘀 𝗳𝗼𝗿 𝗥 𝗨𝘀𝗲𝗿𝘀

Skyler Elmstrom's workshop is a beginner-friendly introduction to GitHub through hands-on, low-pressure collaboration! 🐙🐈‍⬛

Learn more: cascadiarconf.com/2026/worksho...

#CascadiaR #DataScience #rstats

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CRAN updates: BayesDecon pqrBayes #rstats

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And here is his #rstats code 🙏
#econsky
github.com/chris4sims

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R for Geographic Data Science by Stefano De Sabbata
#RStats
bigbookofr.com/chapters/geospatial.html

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Screenshot showing code and a generated negatively correlated scatter plot:

plotjs(x = mtcars$hp, y = mtcars$qsec,
       main = "1/4 Mile Time vs. Horsepower",
       xlab = "HP",
       ylab = "Seconds")

Screenshot showing code and a generated negatively correlated scatter plot: plotjs(x = mtcars$hp, y = mtcars$qsec, main = "1/4 Mile Time vs. Horsepower", xlab = "HP", ylab = "Seconds")

I had an old S3 htmlwidgets package that used a JS library that's gone years w/o updates. Last night, I had Codex take a stab at migrating it to Chart.JS... tests + site are in good shape post fork!

Like 'plot()' with JS

pak::pak('arkraieski/plotjs')

arkraieski.github.io/plotjs/artic...

#rstats

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CRAN updates: ardlverse badp devtools duckdb rmsBMA rtpcr spicy TSQCA #rstats

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CRAN readmissions: readSX rMVP #rstats

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Revolution Analytics Slingshot Monkey (front view)

Revolution Analytics Slingshot Monkey (front view)

Revolution Analytics Slingshot Monkey (rear view)

Revolution Analytics Slingshot Monkey (rear view)

Show us your cape, Big Man
#rstats

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Spatial Microsimulation with R by Robin Lovelace and Morgane Dumont
#RStats
bigbookofr.com/chapters/geospatial.html

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Three stacked bar charts showing the distribution of probability estimates for "Highly Likely" (green) and "Highly Unlikely" (orange) across three groups of English speakers. The x-axis runs from 0 to 100%. For native English speakers (top panel), estimates for "Highly Likely" cluster around 80–95% and for "Highly Unlikely" around 1–10%, with considerable spread across the range. The fluent non-native panel (middle) shows a similar pattern. The non-fluent panel (bottom) is more concentrated at the extremes, with no responses in the middle range. Color intensity represents the proportion of responses within each group.

Three stacked bar charts showing the distribution of probability estimates for "Highly Likely" (green) and "Highly Unlikely" (orange) across three groups of English speakers. The x-axis runs from 0 to 100%. For native English speakers (top panel), estimates for "Highly Likely" cluster around 80–95% and for "Highly Unlikely" around 1–10%, with considerable spread across the range. The fluent non-native panel (middle) shows a similar pattern. The non-fluent panel (bottom) is more concentrated at the extremes, with no responses in the middle range. Color intensity represents the proportion of responses within each group.

This week's #TidyTuesday looks at how people interpret "highly likely" and "highly unlikely", based on the CAPphrase survey by @adamkucharczyk.bsky.social. Non-fluent speakers tend to take the words at face value (though much smaller sample)

Code: github.com/gkaramanis/t...

#RStats #dataviz

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CRAN updates: stdbscan #rstats

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Bar chart of weekly #RStats posts (Sat–Fri). The week of Mar 7–Mar 13, 2026 had 289 posts, and the week before had 276.

Bar chart of weekly #RStats posts (Sat–Fri). The week of Mar 7–Mar 13, 2026 had 289 posts, and the week before had 276.

Weekly number of Bluesky posts with the #RStats hashtag (case insensitive) Sept. 2024 - Mar 13, 2026, excluding the CRAN Package Updates bot. Weeks run Sat–Fri.
This past week: 289 posts
Coded with {bskyr} and {ggplot2}

[Posted via cron job. Tx for ur patience if something went awry] #RStatsStats

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library(tidyplots)

study |> 
  tidyplot(x = treatment, y = score, color = treatment) |> 
  add_violin() |> 
  add_data_points_beeswarm(white_border = TRUE) |> 
  reorder_x_axis_levels("C", "D", "A", "B")

library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_violin() |> add_data_points_beeswarm(white_border = TRUE) |> reorder_x_axis_levels("C", "D", "A", "B")

This is how you can reorder axis levels in #tidyplots 🚀

#rstats #dataviz #phd

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Oops sorry I forgot to update the script to show weekly #RStats post totals instead of daily, per several requests to make it easier to see trends. Coming right up! I'll try RStudio's new AI Posit Assistant for this, since I was a beta tester and still have access😀
cc @hadley.nz
#RstatsStats

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Digits of pi encoded as colours, arranged as a spiral with the symbol pi in the middle

Digits of pi encoded as colours, arranged as a spiral with the symbol pi in the middle

Happy #PiDay!

Here's the first 1,000 digits of pi encoded as colours 🎨 made with #RStats

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Bar chart of daily #RStats posts. Amounts range from around 25 in September 2024 to peaking over 100 some days. Latest totals were 45 yesterday and 57 the day before.

Bar chart of daily #RStats posts. Amounts range from around 25 in September 2024 to peaking over 100 some days. Latest totals were 45 yesterday and 57 the day before.

Daily number of Bluesky posts with the #RStats hashtag (case insensitive) Sept. 1 - Mar 13, excluding the CRAN Package Updates bot.
Coded with the {bskyr} and {ggplot2} R packages.

[Posted via R script and weekly cron job. Tx for your patience if something went awry] #RStatsStats

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CRAN updates: zoomerjoin #rstats

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Coding Club: Creating an R Package by Lisa DeBruine
#RStats
bigbookofr.com/chapters/package%20devel...

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@philippmusfeld.bsky.social , @joschadutli.bsky.social, @koberauer.bsky.social and I wrote up the result of three years of in lab discussions on setting priors in GLMs.

Hope some of you find the proposed workflow and our recommendations helpful!

#bayes #glm #brms #rstats

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CRAN updates: resmush #rstats

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Quickstart: ggmap - Stadia Maps Documentation Learn how to use Stadia Maps basemap tiles in R with ggmap.

💪 The mighty R library, ggmap, helps you visualize data geospatially.

👇 We teach you how to make great looking data with Stadia Maps.

docs.stadiamaps.com/tutorials/ge...

#RStats #DataViz #Geospatial #Tidyverse

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WORDLER: The RStats-powered WORDLE Helper

[#Rstats-powered #Wordle brag (1729)]

WordleR, the #Rstats-powered #Wordle Helper, was "splendid" today!
Wordle 1,729 4/6
🟨🟨🟨⬛⬛
🟩⬛🟨🟨⬛
🟩🟩⬛⬛🟩
🟩🟩🟩🟩🟩
http://bit.ly/WordleR

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A spiral made of the first 1000 digits of Pi. Happy Pi Day!

A spiral made of the first 1000 digits of Pi. Happy Pi Day!

A little #rstats exercise. Happy Pi Day for those who celebrate and if your local date format allows it. 🎊

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