A short #rstats post about generating quarto syntax (e.g., for wrapping several plots in a tabset) within the R code chunk itself. I am entirely unsure if this is useful. Some feedback would be appreciated
https://blog.djnavarro.net/posts/2025-07-05_quarto-syntax-from-r/
Okay, so #rstats finally got passed the beta of 4.5.0 to 4.5.1 and I'm now committed
Placeholder package name for this new #RStats graphics device:
Dev Leopard
Enjoying playing around with Shiny Assistant. Great at creating the boilerplate stuff. Not so great with large datasets. But, I can work round that, especially if something else is gonna do the prelim stuff for me
#rstats
shiny.posit.co/blog/posts/s...
Shiny - Shiny Assistant
BiocPy brings Bioconductor's data structures and analysis tools to Python github.com/BiocPy #Rstats Workshop materials: biocpy.github.io/BiocWorkshop... Book: biocpy.github.io/tutorial/
New package time!!
New version of SuperPlotR for #RStats
Added a few new features:
- find the representative datapoint for each replicate/condition for figure-making
- easier retrieval of information about the SuperPlot
There are days when I miss those drops of Mr. Ripley's wisdom in the the R-help list. The rest of the days I just find that a flood of that knowledge would have been necessary.
There are 96 packages in danger of being archived used by 222 packages.
There are 53 that aren't yet archived. The first package could be archived on 2025-06-30 but it could take 48 days till all are archived (if not fixed in time).
There are 1 packages in danger both directly and indirectly.
In total 306 affected packages are from CRAN and 12 from Bioconductor.
Of all them, 1 affected by 3, 5 affected by 2 package's deadlines.
Support the maintainers of the #rstats packages you depend!
Getting started with Shiny to make interactive web-apps with R: https://debruine.github.io/shinyintro/index.html #rstats #shiny
The first major version of {mapsf} has arrived on CRAN!
mapsf is a thematic mapping R package. Its goal is to be simple and lightweight while offering all the necessary features to create beautiful statistical maps.
This release includes a revamped theming system, an updated cheat sheet and improved PNG and SVG exports and solves some long-lasting display bugs.
More details in this blog post: https://rcarto.github.io/posts/mapsf_v1.0.0
New website: https://riatelab.github.io/mapsf
¡Conoce a la nueva cohorte de campeones de @rOpenSci!
Dive()ing into the hunt #rstats: https://milesmcbain.micro.blog/2025/07/04/diveing-into-the-hunt-rstats.html
Also, {zap} ALP double compression can fallback to a simpler technique which works well for simple sequences
e.g. N = 10k; as.double(seq(N) * 2)
This compresses to just 54 bytes!
The issue is finding a good heuristic which chooses a transformation based upon the characteristics of the data. Definitely an area to be explored!
Open Source Software Adoption in Japan's Pharma Industry: Key Findings from the 2024 JPMA R Usage Survey
https://r-consortium.org/webinars/open-source-adoption-in-japans-pharma-industry.html
Join us for a special webinar hosted by R consortium and the Japan Pharmaceutical Manufacturers Association (JPMA) to explore the results of the "2024 OSS Usage Status Questionnaire Report." How #pharma in Japan adopting open-source software — particularly R — and how trends have evolved since our last survey in 2022.
This is #python and #rstats comparison is quite relevant.
Just that... it might not be relevant in the way that you first assume. Even though they have essentially similar functionality in #datascience contexts, they offer complementary perspectives when designing a solution.
Think, "What would be the consequences of writing it this way?"
You may end up using only one of them on a single project but they each help to develop your analytical intuition
Don’t forget!
Join us today at 6PM CEST for our R-Ladies Rome workshop with @@ramikrispin:
“Forecasting Time Series with Linear Regression: A Feature-Driven Approach”