Interesting data on LLM performance in R coding from @simonpcouch
https://www.simonpcouch.com/blog/2025-04-18-o3-o4-mini/
Note: Not only is OpenAI's o4-mini slightly better than long-time favorite Anthropic Claude Sonnet in these tests, but it's about 3X cheaper
o4-mini: $1.10 input $4.40 output
Claude 3.7 Sonnet: $3 input $15 output
#RStats #R #GenAI #LLMs
Latest {ragnar} #RStats 
version now has a very useful viewer to browse and search the duckdb vector store!
https://github.com/tidyverse/ragnar/pull/16
I'm having fun with this #R RAG ! Thank you @t_kalinowski and @dfalbel (and @Posit )
#GenAI
Landscape Metrics - “R As GIS” Course
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https://jakubnowosad.com/rgis2025/output/landscape_metrics.html#/title-slide <-- shared presentation
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#GIS #spatial #mapping #R #tutorial #onlinelearning #presentation #rasters #remotesensing #earthobservation #landscape #metrics #spatialanalysis #spatiotemporal #natural #social #cultural #ecosystems #biodiversity #water #waterquality #usecase #geomorphology #geomorphometry #patterns
I've been waiting a paper that was submitted on #R Journal to be published. But it's been 1 year without issues, last one was March 2024: https://journal.r-project.org/issues.html
Does anyone know what happened?
@Lluis_Revilla These 2 toots expanded well deserve an R journal article.
Next at #WorkshopsForUkraine: Effective #DataVisualization #DataViz in #R #RStats in Scientific Contexts, by Christian Gebhard, Thursday April 10th, 6 pm CET. Register or sponsor a place for a student by donating to support #Ukraine. Details: https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.b0g432iynobt
Want to Work with Data? You NEED SQL!
Learn how to retrieve, filter, and manipulate databases efficiently
Speed up workflows & reduce dependency on others
Choose your path: SQL with Python or R
April 15, 2025 – 6 hours, online
#Rstats #BigData #SQL #R #Python
https://www.jumpingrivers.com/training/public/
@libreoffice We still see people recommending Excel and throwing around those "Excel tools" (aka spreadsheets with some formulas).
Please stop endorsing spreadsheet apps for anything else than spreadsheets. Better use applications for numerical computations like #NumeRe or #R, which produce understandable, mainainable and debuggable solutions.
Some #R #rstats about the packages on the repositories: #CRAN has 722 packages that use Bioconductor (3%), #Bioconductor has 2802 packages that use CRAN's packages (77%).
1.3% CRAN and 0.6% Bioconductor respectively use package outside these two repositories. But 91% and 93% use packages on their respective repos. 8% and 3% do not have any dependency on external packages (but could depend on system dependencies).
I'm starting to think letting statisticians do OOP is a bad idea. This r function uses a complex data type as input, but the maintainers of the package that defined that type have changed the structure of the data type, so now I have to jump through some hoops to create an object of the old type. Got to really suck for all the r programmers who don't have a CompSci background.
#r #dataScience
Get Started With GRASS & R: The rgrass Package
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https://grass-tutorials.osgeo.org/content/tutorials/get_started/fast_track_grass_and_R.html <-- link to shared tutorial
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H/T Doug Newcomb
“The rgrass package allows us to interact with GRASS tools (and data) serving as an interface between GRASS and R. The rgrass package source code can be found at: https://github.com/OSGeo/rgrass. In this fast track tutorial, [they will teach you] how to use GRASS from R…”
#GIS #spatial #mapping #R #rgrass #coding #GRASS #tutorial #introduction #interface #fasttrack #learn #learning #onlinelearning
I'm facing a problem in R, any help and input would be much appreciated.
Short version: I need to generate a PDF report about survey data (with some text and a plot for each survey item) but the number of items needs to be dynamic.
More details on this stackoverflow post: https://stackoverflow.com/questions/79544345/generating-a-report-with-a-dynamic-set-of-plots-and-corresponding-text-in-r
Aquí tenéis una simulación interactiva sobre el #CambioDeHora. Escrita en #R, funciona en cualquier navegador.
Curious about using #GRASS and #R for geospatial data analysis?
Dive into our latest R tutorial and get started now! 
https://grass-tutorials.osgeo.org/content/tutorials/get_started/fast_track_grass_and_R.html
#rtutorial #geospatialdata #geospatialanalyst #datascience #earthobservation
https://grass-tutorials.osgeo.org/content/tutorials/get_started/fast_track_grass_and_R.html
Early Bird Registration for useR! 2025 is open until April 30th!
Join this gathering of leaders in industry, academia, and the government to network while you increase your expertise in #R.
As this is our 21st year we have built up a solid reputation that attracts the best and brightest to gather together for talks, tutorials and casual side gatherings.
user2025.r-project.org/register
Wie schlecht kann ein Projektname gewählt werden, um die Suche danach zu erschweren?
R: ja
#R #r-project #rproject #r_project
This is exactly why, in the field of #openscience young researchers should take some time to get accustomed to tools like #R and its packages. Proprietary software is often advertised for its GUI, but although these tools may be easy to learn, it will later be a waste of time to make your data reusable outside of them.
Let us know what topics you'd like to see covered as a GRASS tutorial!
Comment your suggestions below
https://grass-tutorial.osgeo.org
#foss #osgeo #geospatial #grassgis #datascience #python #r #remotesensing #hydrology #dataengineering
https://github.com/OSGeo/grass-tutorials
Greg Cocks 
