biopixR, has reached version 1.0.0! From its humble beginnings to the latest updates, we've worked tirelessly to bring you powerful tools for image analysis and processing.
Improved examples
New functions: importImage and scanDir
Automated parameter calculation in objectDetection
Faster computation through vectorization
Browse through our journey: from edge detection to automated calculations, parallel processing, and more!
I've added the R.nvim plugin to #Neovim. It splits the window into panels for editing, viewing output and browsing objects, and it offers everything I'd expect in an R IDE.
It hardly needs any configuration besides registering its own existence. It's comprehensive, thoughtful and underrated, and it's my preferred way to write R code.
🧌 We all know the R startup message. It tells us the version of R we are running, the date, the platform we are running on, and some informative tips on using R. When you've been using R a while, though, it get old. Let me show you how you can customise your startup message! ---
The TidyDensity package now includes new functions to calculate the Akaike Information Criterion (AIC) for various distributions, streamlining model quality assessment. Use functions like util_negative_binomial_aic() to automate AIC calculations, ensuring precise model evaluation.
#rstats Do you know what the difference is between nested and packed data? And what does this difference look like in a JSON format? If you're curious about that, please check my last blog post out: https://rdiscovery.netlify.app/posts/2024-05-30_pack-nest/. Cheers😉
In the development version of {collapse} [v2.0.15, available via install.packages("collapse", repos = "https://fastverse.r-universe.dev")], the pivot() function has received a FUN argument to support aggregation, including a number or hard-coded internal functions that do this "on the fly". Initial benchmarks show that this significantly outperforms other pivot table options in R. More at https://sebkrantz.github.io/collapse/reference/pivot.html (feel free to test and give feedback). #rcollapse#rstats#DataScience
I find it WILDLY FRUSTRATING implementing contrast coding in Julia.
If I use ContrastCoding(), I can specify my own contrast matrices (yay!) but I can't label them. So the regression output just reuses my actual factor levels to label an actual model term that means something like, say, 'mean of levels A and B vs. mean of levels C and D'. Or whatever. To interpret my model, I must make physical notes on a piece of paper about what each term means.
🐘✨ Great news from Marcela Victoria Soto at R4HR in Buenos Aires! She recently shared updates about their dynamic activities: "Data analysis is crucial for agile decision-making in companies." Join them on June 1, 2024, for the "Data Visualization in HR" event. Perfect for Spanish-speaking R users interested in HR analytics. 📅👥 Read more: https://www.r-consortium.org/blog/2024/05/30/r4hr-in-buenos-aires-leveraging-r-for-dynamic-hr-solutions
How do I find people (especially women and POC and LGBTQ+) who started as scientists and somehow found their way to programming and love it so much but were never formally trained and so they just figure it out as they go but they make it work anyway?? Too specific?? (I’m a half #filipino woman and ally, let’s be pals?) #python#rstats#diversityintech
rdata, a package from Carlos Ramos Carreño, is a pure Python implementation that offers a lightweight way to import R datasets/objects stored in the “.rda” and “.rds” formats into Python!