#rpackage — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rpackage, aggregated by home.social.
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I just discovered that the latest release of #pkgdown now adds an llms.txt file to the rendered site by default. Immediately disabled the new 'feature' and added human.json instead 🙃
https://codeberg.org/g-rppl/movetrack/commit/01f7455a13c0c7682ac33305b80564fe08ce74b1
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🎉 Excited to announce that typeR is now on CRAN!
typeR simulates typing animations for R scripts - perfect for live coding demos and presentations.
Install: install.packages("typeR")
Docs: https://fgazzelloni.github.io/typeR/ -
#Rpackage #qualityanalysis
New update for R package “resquin” – More functions for better response quality analysisThe R package “resquin,” short for “response quality indicators,” has been updated and now offers even more options for analyzing and evaluating response quality. The new features are designed to help researchers and data specialists examine their data more accurately and arrive at relevant results more quickly.
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To finish the second day of the Konstanz School of Collective Behaviour 2025 (#KSCB2025), a great #tutorial by Michael Chimento @mchimento on #Network-Based #Diffusion #Analysis (#NBDA) and his #RPackage #STbayes.
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💬 Want to use GPT-4, Claude, Gemini, Ollama & more directly from R?
Meet {ellmer}: a powerful wrapper to access a wide range of LLM providers via a unified interface.
Includes function/tool calling, structured output, image input & streaming!📦 install.packages("ellmer")
📘 Docs: https://ellmer.tidyverse.org/
#rstats #LLM #AI #OpenSource #DataScience #RPackage #NLP -
#NIAM25
"Automatisierte Wahlberichterstattung bei der Süddeutschen Zeitung" -
One of my New Year's Resolutions is to get into building R packages. I can see plenty docs/webinars for learning how to make them. However, does anyone have favourite open source packages they think show good examples using best practices and/or style in modern R package coding? Big or small, general or niche, just looking for nice code to read 🤓
#RStats #R #RPackage -
🚀 Unlock chemical volatility with #volcalc, a powerful #RPackage developed by Kristina Riemer and @LeafyEricScott It automates the calculation of chemical compound volatilities, making research faster and more efficient.
"The purpose of volcalc was to transform the process from taking months to gather details for 300 compounds to obtaining information for thousands in a much shorter time." – Kristina Riemer
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We joined
https://x.com/rOpenSpain and moved {spanishoddata} #rstats #rpackage to https://ropenspain.github.io/spanishoddata/ -
Bayes' theorem, a key concept in probability theory, is crucial for making informed decisions in uncertain situations. It allows us to update our beliefs based on new evidence.
This theorem mathematically describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
The visualization in this post is based on an image from Wikipedia (link: https://en.wikipedia.org/wiki/Bayes%27_theorem#/media/File:Bayes_theorem_visual_proof.svg).
More details: https://statisticsglobe.com/bayes-theorem-explained
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When the day after your #Rpackage goes live on CRAN, with no promotion whatsoever, Hadley Wickham himself files a GitHub issue with a suggestion 🤓. https://github.com/e-kotov/rJavaEnv
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I switched to #Positron https://github.com/posit-dev/positron by @Posit for most of my #rstats and #rpackage development activity. I have not touched #RStudio for many weeks. https://codeium.com/ as AI autocomplete for now, as GitHub Copilot is not working yet in #Positron. Occasional fallback to #VScode for #RemoteSSH work.
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The R wrapper for the Python Pdf2docx package offers a very simple API for easily converting your PDF files into DOCX.
Explore the package here:
https://github.com/Ifeanyi55/Convert2Docx
Kindly star 🌟 the project if you find it useful. Also, share it with others 🙏
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I recently came across the raybevel R package by Tyler Morgan-Wall. It's focused on creating 3D bevels and straight skeletons, useful for tasks such as offsetting polygons or generating 3D models of roofs and beveled edges.
Installation instructions and examples to get started: https://www.raybevel.com/
See this link for additional information: http://eepurl.com/gH6myT
#programmer #database #Statistical #DataAnalytics #Rpackage #RStats
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Learn how to use Principal Component Analysis (PCA) in R to simplify large data sets while retaining crucial information. PCA is a commonly used tool in statistics for making complex data more manageable.
Click this link for detailed information: https://statisticsglobe.com/online-course-pca-theory-application-r
#Rpackage #tidyverse #datavis #DataScience #DataAnalytics #DataVisualization #RStats #Statistics #datastructure #ggplot2
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I recently stumbled upon the gt package for R programming 📊✨—a real game-changer for anyone looking to elevate their table game!
Developed by Richard Iannone and colleagues, it simplifies table creation, supporting a seamless workflow from data frames or tibbles to professional tables.
Want to stay ahead in statistics, data science, and programming? My free newsletter delivers regular insights directly to you.
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I've recently discovered a really useful R package by Jan Broder Engler called tidyheatmaps.
Full guide: https://jbengler.github.io/tidyheatmaps/
#DataAnalytics #database #RStats #Rpackage #statisticsclass #DataScience
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After making my first simple #Remarkjs #presentation, I think I see the landscape a little clearer:
👉 @jmlilly's Liminal is a "minor extension" that provides a scientific theme for Remark.js http://www.jmlilly.net/talks/liminal-v2/
👉 @yihui's #Xaringan is an #Rpackage that translates #Rmarkdown into Remark-readable #markdown; using the #RStudio #IDE it supports theming & live previews of your slides https://slides.yihui.org/xaringan/
👉 @grrrck's added some serious extra bling to Xaringan https://pkg.garrickadenbuie.com/xaringanExtra/
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Our PhD student Che-Wei Chang developed the R-package GGoutlieR, which is now peer reviewed and published in JOSS.
It detects incorrectly assigned outliers or long-distance migrants in geo-genetic data.
- Journal: https://joss.theoj.org/papers/10.21105/joss.05687
- CRAN: https://cran.r-project.org/web/packages/GGoutlieR/index.html
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New paper on "Modelling animal network data in R using STRAND"
"#Bayesian approaches to #network data analysis are well suited to resolving known challenges in the animal behaviour literature...to facilitate ease of use, we provide a tutorial for our #Rpackage that allows end users to build complex network analysis models using simple lm-style syntax in base R, simplifying the process of modelling empirical network data."
https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14021
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Last week, CRAN released the version 1.0.1 of "collinear", the R package I wrote during my summer holidays.
It helps filter out numeric and categorical collinear predictors, and let's you decide in what order of preference these predictors should be removed.
You can find more info about the package here: https://blasbenito.github.io/collinear/
I've also written a post about how multicollinearity can hinder model interpretability: https://www.blasbenito.com/post/multicollinearity-model-interpretability/
I hope you enjoy it!
