Lmst

#rStats

📊 #TidyTuesday – 2025 W25 | Measles cases across the world
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🔗: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2025/tt_2025_25.html
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#rstats | #r4ds | #dataviz | #ggplot2

Scatter plot showing measles surveillance quality versus disease burden across 151 countries. Countries are positioned by disease burden (x-axis) and outbreak variability (y-axis). Points are colored by lab confirmation rates and sized by average measles incidence. A 'Crisis Zone' in the upper left shows countries with high measles burden and poor surveillance, while a 'Success Zone' in the lower right shows countries with low measles burden and good surveillance. Most countries cluster in the middle, with a clear pattern indicating that better measles surveillance correlates with a lower disease burden.

{quarto-webr} v0.4.3 "Bumpity Bump" is now available - a maintenance release that bumps to R 4.5.1 by default (via webR 0.5.2).

https://github.com/coatless/quarto-webr

#RStats #Quarto #WebR

#rstats is (mostly ?) homoiconic gist.github.com/hadley/6195660

A lighthearted and overly flat...

#Rstats is (mostly ?) homoiconic gist.github.com/hadley/6195660

WOW!

The ig_degree_betweenness python module has hit 747 downloads just 2 days after its release!

If you work with social network analysis and want to detect clusters with two major popularity metrics, check out the ig_degree_betweenness - available in Python and R!

GitHub repositories in the comments below!

#python #rstats #igraph #socialnetworkanalysis

We're happy to have an accompanying publication for another #rstats @rstats package published!

modelbased: An R package to make the most out of your statistical models through marginal means, marginal effects, and model predictions

With Dom Makowski @mattansb @wiernik @Indrajee and @strengejacke https://doi.org/10.21105/joss.07969

#RStats hivemind :
Any idea what the "but this used not to be the case when versioned installs were allowed is referring to here ?

https://cran.r-project.org/doc/manuals/r-devel/R-exts.html#Configure-and-cleanup

$In some rare circumstances, the configuration and cleanup scripts need to know the location into which the package is being installed. An example of this is a package that uses C code and creates two shared object/DLLs. Usually, the object that is dynamicall loaded by R is linked against the second, dependent, object. On some systems, we can add the location of this dependent object to th object that is dynamically loaded by R. This means that each user does not have to set the value of the LD_LIBRARY_PATH (or equivalent environment variable, but that the secondary object is automatically resolved. Another example is when a package installs support files that are required at run time, and their location is substituted into an R data structure at installation time. The names of the top-level library directory (i.e., specifiable via the ‘-U argument) and the directory of the package itself are made available to the installation scripts via the two shell/environment variables R_LIBRARY DIR and R_PACKAGE DIR. Additionally, the name of the package (e.| ‘survival’ or ‘MAsS’) being installed is available from the environment variable R_PACKAGE_NAME. (Currently the value of R_PACKAGE DIR is always ${R_LIBRARY DIR}/${R_PACKAGE_NAME}$

Game 27 of Saints's 2024 season, which I'm following for my #rstats #RugbyLeague #DataVisualisation project was a loss to Warrington - https://fulltimesportsfan.wordpress.com/2025/06/24/saints-ahoy-game-27-and-the-2024-season-to-date/.

The most interesting figure was from the game itself, a matrix of which players were present together when Warrington scored. It's really easy to see that Matty Lees was the Saints player who received a yellow card.

Matrix chart of who is present together when Saints conceded in game 27. Of interest is the second darkest group (they are in orange), containing Welsby, Paasi, Lees and Delaney. The line for Lees is a paler orange because he was not present with that group every time Saints conceded. On this occasion, it is a mark of shame because he had been yellow carded, which Warrington exploited to score twice.

RcppRedis 0.2.6 on CRAN: Extensions
Performant R interface to Redis and Valkey
https://dirk.eddelbuettel.com/blog/2025/06/24#rcppredis_0.2.6
#rstats #rcpp

Screenshot of blog post at https://dirk.eddelbuettel.com/blog/2025/06/24#rcppredis_0.2.6 describing release 0.2.6 of CRAN package RcppRedis

Coworking and Office Hours next week!

Theme: Research Software Engineering and R

Tuesday July 1st 09:00 Americas Pacific (16:00 UTC)

Join Saranjeet Kaur Bhogal and @yabellini

- General coworking
- Look up Research Software Engineering
- Cowork independently on work related to R
- Chat with Saranjeet and other attendees and discuss our theme!

https://ropensci.org/events/coworking-2025-07

#RStats
@rstats

Tomorrow, June 25th! Matthew Kay's discussion of visualizing uncertainty 🤨 with #ggplot2 extension at 3pm Eastern! 📊 ##ggplot2extenders #rstats

Want to join? Let us know: https://ggplot2-extenders.github.io/ggplot-extension-club/ -> 'Please leave your contact info'

For this week's #TidyTuesday we're looking at data from the World Health Organisation (WHO) on measles cases.

💉 Joined with WHO data on vaccine coverage
✍️ Annotations to add context and information
📊 Made entirely in #RStats

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-06-24

#DataViz #ggplot2

Line chart showing declining MMR vaccine coverage in the UK from the mid-1990s, never reaching the 95% WHO target, alongside a rise in measles cases after 2016, when the UK briefly achieved elimination status before losing it in 2018 due to re-established transmission.

Re Mega2R, CRAN instructed me to fix this: Check: Post-processing issues found for gcc-san, Result: WARNING File: build_vignettes.log vendor/sqlite3/sqlite3.c:80239:14: runtime error: load of address 0x7faa31b1fa40 with insufficient space for an object of type 'struct MemPage *' #RStats 1/n

@hrbrmstr That "Maple Mono" font looks good in my #kitty terminal (using #vim and #yazi). I got a small issue with the #Rstats icon not showing in starship, but that has been also the same w/ other NerdFont variants.

Showing Maple Mono font in vim and yazi. Font source: https://font.subf.dev/en/

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io/join (find the #chat-tidytuesday channel)!

RT @jonthegeek https://fosstodon.org/@jonthegeek/114733036683995000

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

From the @DSLC :rstats:chives:

:rstats: Web APIs with R: httr2 introduction & How can I get a lot of data from an API? https://youtu.be/gCtvkQCxYCI #API #APIs #RStats

:rstats: Advanced R: Quasiquotation https://youtu.be/IXE21pR8EJ0 #RStats

:rstats: Data Science at the Command Line: Scrubbing Data Part 1 https://youtu.be/_EQ8JgkKiAg #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

#quarto #rstats friends who use github action to publish articles:

it's currently taking github actions ~30 mins to publish my little #mgcv help site (https://calgary.converged.yt/). This seems to be because it's installing a lot of R packages from source.

What's the current state-of-the-art to get these things to render quickly? (And using minimal power.)

(I'd like to not use github but I would also like to encourage PRs etc from folks without a huge overhead from them, so let's stick to github-based solutions for now.)

This year’s Shiny in Production Conference workshops cover the key aspects of building effective, production-ready Shiny apps:

Testing for {shiny} with Colin Fay
Asynchronous Shiny with Russ Hyde
Maps in Shiny with Pedro Silva
Figma & UI Design for Shiny with Keith Newman

More details & registration: https://shiny-in-production.jumpingrivers.com/#schedule

#ShinyInProduction #RStats #RShiny #ShinyApps

https://www.jumpingrivers.com/blog/shiny-in-production-2025-workshop-announcement/

There are 130 packages in danger of being archived used by 1432 packages.
There are 2 that aren't yet archived. The first package could be archived on 2025-06-21 but it could take 49 days till all are archived (if not fixed in time).
There are 12 packages in danger both directly and indirectly.
In total 736 affected packages are from CRAN and 826 from Bioconductor.
Of all them, 3 affected by 3, 81 affected by 2 package's deadlines.

Support the maintainers of the #rstats packages you depend!

{annotater}: Annotate package load calls, so we can have an idea of the overall purpose of the libraries we’re loading: https://annotater.liomys.mx/ #rstats #documentation

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