“AI Use Cases for R Enthusiasts” - Upcoming Workshop for Ukraine this Thursday, May 9, noon ET/6 pm CET/9 am PT with Dr. Albert Rapp ( @rappa753 but not too active here). Donate 20 euro/20 USD for this live 2-hour session - or if you can’t make it, access to recordings & materials.
Rapp says you'll leave with “fresh ideas and practical strategies for using AI.” https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine #rstats#AI#GenAI@rstats
I'm excited to teach the "What They Forgot To Teach You About R" workshop with E. David Aja at posit conf for the 3rd year! 🎉 Join us to level up your personal R administration 🛠 and debugging skills 🧐. 🤗 #positconf2024#rstats
We’re excited to partner with @rinpharma for their in-person events at posit::conf(2024) at the Hyatt Regency in Seattle! Join us starting on August 11 to discuss the future of open-source drug development.
Today I am writing on the AIC functions available in my hashtag#R hashtag#Package TidyDensity.
There are many of them, with many more on the way. Some of them are a little temperamental but not to worry it will all be addressed.
My approach is different then that of fitdistrplus which is an amazing package. I am trying to forgo the necessity of supplying a start list where it may at times be required.
I recently worked with someone with 10 years' experience in #RStats who thinks dependency management doesn't matter. He didn't even think it was worthwhile to just ensure we were all using the same versions of things.
I don't get it. It took me mere months to break an R script by carelessly updating packages - how did this guy make it to a decade with no mishaps?
I have a linestring with messy ends (like a tangled ball of yarn). How can I smooth the messy ends so that it traces a nice curve around the yarn-like segments? I tried the {smoothr} package but it doesn't seem to work. #rstats
Thanks to @hughagraham, here's a tree canopy height viz of O‘ahu, Hawai‘i two ways—canopy height only (left), over shaded relief (right). Which do you prefer?
Hi-res canopy height data from World Resources Institute and Meta.
Want a simple form of #MCMC analysis in #R well, I got you covered.
My #R#Package TidyDensity has a function called tidy_mcmc_sampling() that is pretty straight forward. It takes a raw vector and performs the calculation you give it over a default of 2k samples.
PSA: The latest development build of #webR served at https://webr.r-wasm.org/latest/ is now running #RStats 4.4.0 🎉 This change will be included as part of the next release. Thanks @jeroenooms for helping get this up and running.
WebAssembly packages for R 4.4 are now being served by https://repo.r-wasm.org/. As before, you can browse the list of available Wasm packages by visiting that URL in your browser. Feel free to let me know if any major packages have been broken in the rebuild process.