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Posts tagged #Rstats

Writing R Extensions Writing R Extensions

Answering my own question:

The following are newly added in R-devel for dealing with the deprecation of ATTRIB() as a public API call:
* R_getAttribCount()
* R_getAttribNames()
* R_mapAttrib()

See devel docs: cran.r-project.org/doc/manuals/...

#RStats

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#RStats internals technical question:

Using C, how do you get the names of all attributes on an object?

I used to use ATTRIB(), and then walk the pairlist using CAR() AND TAG().

But ATTRIB() is now non-API, so that method is deprecated.

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Post image Post image

#DuBoisChallenge2026 - Week 5. Recreating Du Bois' map of the emigration and immigration of Black Georgians during years of Reconstruction requires using 'sf' in #rstats to make lines from the centroids of Georgia to each state, masked by the state's outline.

Code: github.com/drjohnrussel...

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We're back with an exciting new talk on openESM (openesmdata.org) by @bsiepe.bsky.social !! Register now! โœจ
#rstats #openscience

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Introducing openESM: openesmdata.org
๐Ÿง  60 ESM datasets
๐Ÿ“Š 740,000+ observations
๐Ÿ“ฆ Learn how to search, download, and analyze them using openESM and R.

๐Ÿ“… Apr 30
โฐ 3 PM CET | 2 PM UTC | 7:30 PM IST
๐Ÿ’ป Free online talk

#rstats #OpenScience #Psychology

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WORDLER: The RStats-powered WORDLE Helper

[#Rstats-powered #Wordle brag (1730)]

WordleR, the #Rstats-powered #Wordle Helper, was "splendid" today!
Wordle 1,730 4/6
โฌ›๐ŸŸจ๐ŸŸฉโฌ›โฌ›
๐ŸŸจ๐ŸŸฉ๐ŸŸฉโฌ›๐ŸŸฉ
โฌ›๐ŸŸฉ๐ŸŸฉโฌ›๐ŸŸจ
๐ŸŸฉ๐ŸŸฉ๐ŸŸฉ๐ŸŸฉ๐ŸŸฉ
http://bit.ly/WordleR

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R for Conservation and Development Projects A Primer for Practitioners by Nathan Whitmore
#RStats
bigbookofr.com/chapters/life%20sciences...

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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*โ€”you can estimate ฯ€ from a ton of random coin flips bc the expected prop of heads/total after 50%+ of the flips are heads = ฯ€/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).

๐Ÿ“ฃ๐˜พ๐™–๐™จ๐™˜๐™–๐™™๐™ž๐™– ๐™๐˜พ๐™ค๐™ฃ๐™› ๐™’๐™ค๐™ง๐™ ๐™จ๐™๐™ค๐™ฅ ๐™Ž๐™ฅ๐™ค๐™ฉ๐™ก๐™ž๐™œ๐™๐™ฉ๐™จ๐Ÿ“ฃ

๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ: ๐—–๐—ผ๐—น๐—น๐—ฎ๐—ฏ๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—•๐—ฎ๐˜€๐—ถ๐—ฐ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฅ ๐—จ๐˜€๐—ฒ๐—ฟ๐˜€

Skyler Elmstrom's workshop is a beginner-friendly introduction to GitHub through hands-on, low-pressure collaboration! ๐Ÿ™๐Ÿˆโ€โฌ›

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 ๐Ÿ™
#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 readmissions: readSX rMVP #rstats

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CRAN updates: ardlverse badp devtools duckdb rmsBMA rtpcr spicy TSQCA #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 80โ€“95% and for "Highly Unlikely" around 1โ€“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 80โ€“95% and for "Highly Unlikely" around 1โ€“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 (Satโ€“Fri). The week of Mar 7โ€“Mar 13, 2026 had 289 posts, and the week before had 276.

Bar chart of weekly #RStats posts (Satโ€“Fri). The week of Mar 7โ€“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 Satโ€“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 ๐Ÿš€

#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 access๐Ÿ˜€
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 ๐ŸŽจ 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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