Genuary 2026 - 9: "Crazy automaton."
Modified Game of Life on a random Voronoi tesselation. A cell survives if it has exactly one neighbor, a new one gets spawned from exactly two neighbors. R code in alt text.
Genuary 2026 - 9: "Crazy automaton."
Modified Game of Life on a random Voronoi tesselation. A cell survives if it has exactly one neighbor, a new one gets spawned from exactly two neighbors. R code in alt text.
For years, @DSLC has provided free resources for learners, including weekly #TidyTuesday datasets and free video book clubs.
We believe money shouldn't be a barrier to learning, so the community will always be free to join.
However, our infrastructure (Zoom, hosting) isn't free. Today, I'm launching a Patreon to help cover those costs.
If you've built a portfolio with TidyTuesday or learned in a book club, please consider supporting us!
Power lines of Germany revisited, this time showing both OSM and derived power lines.
Should have done this from the start but was afraid it'd take too long to render this many lines. Guess not! :)
#rayshader adventures, an #rstats tale
@sennoma understanding which of #rstats or #python should be used for different tasks is a better option. #Seaborn is ok, but #ggplot2 is in another class. But there are lots of text mining methods and some machine learning things that are better developed in python. Data science is multilingual and focusing on concepts and specific implementations is more important.
@sennoma understanding which of #rstats or #python should be used for different tasks is a better option. #Seaborn is ok, but #ggplot2 is in another class. But there are lots of text mining methods and some machine learning things that are better developed in python. Data science is multilingual and focusing on concepts and specific implementations is more important.
Power lines of Germany revisited, this time showing both OSM and derived power lines.
Should have done this from the start but was afraid it'd take too long to render this many lines. Guess not! :)
#rayshader adventures, an #rstats tale
Creating Effective Display Tables with the gt Package
- Richard Iannone
https://rich-iannone.github.io/gt-effective-display-tables/
Creating Effective Display Tables with the gt Package
- Richard Iannone
https://rich-iannone.github.io/gt-effective-display-tables/
What are your favorite resources for data modeling? Looking for theory as well as tooling. Bonus points for a close coupling between the model and the code (infrastructure-as-code).
New #RStats blog entry from Tomas Kalibera: Debugging Sensitivity to C math library and mingw-w64 v12.
C math library functions, such as exp or sin, are not guaranteed to be “precise”. The results might be slightly different on different platforms. This post presents a tool "mdebug" which allows package authors to debug any potential issues with C math functions in their package.
https://blog.r-project.org/2026/01/06/debugging-sensitivity-to-c-math-library-and-mingw-w64-v12/
New #RStats blog entry from Tomas Kalibera: Debugging Sensitivity to C math library and mingw-w64 v12.
C math library functions, such as exp or sin, are not guaranteed to be “precise”. The results might be slightly different on different platforms. This post presents a tool "mdebug" which allows package authors to debug any potential issues with C math functions in their package.
https://blog.r-project.org/2026/01/06/debugging-sensitivity-to-c-math-library-and-mingw-w64-v12/
A request for #rstats help.
Motivated by a real-world problem I'm facing, I wrote a package designed to help new users wean themselves off using rm(list=ls()), and nudge them in the direction of better practice.
I would sincerely appreciate feedback before I send it to CRAN
A request for #rstats help.
Motivated by a real-world problem I'm facing, I wrote a package designed to help new users wean themselves off using rm(list=ls()), and nudge them in the direction of better practice.
I would sincerely appreciate feedback before I send it to CRAN
@concretedog The #rstats ecosystem is something that works for many way better than proprietary software. In part because extending it is easier.
I'm writing/collecting stories about #opensource being more useful than proprietary systems/tools in academia, education and kind of #innovation .. as in where opensource is more innovative than closed - not how opensource should be in those big shiny empty innovation funded buildings! If this makes your synapses tingle... do comment below. Up for chats to expand my thinking.
@concretedog The #rstats ecosystem is something that works for many way better than proprietary software. In part because extending it is easier.
For years, @DSLC has provided free resources for learners, including weekly #TidyTuesday datasets and free video book clubs.
We believe money shouldn't be a barrier to learning, so the community will always be free to join.
However, our infrastructure (Zoom, hosting) isn't free. Today, I'm launching a Patreon to help cover those costs.
If you've built a portfolio with TidyTuesday or learned in a book club, please consider supporting us!
Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.
I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.
1/n
After I got my PhD and decided that the research/academia ladder was not my cup of tea, I moved to Barcelona to work as research technician, building databases and R code/packages for them. After 9 years, I'm still here, now as Data Scientist, still managing
databases and pipelines, webs, shiny applications and R packages.
3/3
Inspired by @kamapu map for day 16 of #30DayMapChallenge and playing with the amazing {isocubes} by @coolbutuseless I decided to do an spatial introduction.
I'm from León, a province in the NW of Spain. Here is where I was born and raised and where after some time I got my BSc in Biology.
1/n
Shortly after that, I moved to Asturias, close to the Cantabric Sea, where I spend 8 years getting my PhD on Plant Physiology (someday I will be able to talk about PhD students exploitation in the Spanish educative system, even if things are slighty better now).
Here is where my love for linux, open source and R began (goodbye SPSS and Windows, never looked back).
2/n
