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November 25, 2025

The R Data Scientist 25-11-2025

R & AI, new packages & developments, geospatial projects

🌐 Community Roundups

Ready4R (2025-11-24): Giving Thanks For All the Videos (buttondown​.com/ready4r). Weekly Ready for R newsletter covers Databot explores NHANES, PositConf talks on WebR/Pyodide, and Surveydown survey tooling

R Weekly 2025-W48 Multi-agents, linter, rbranding (rweekly​.org). Multi-Agent orchestration in R, a new linter, and branding tools for R projects plus various packages and updates

Weekly Recap (Nov 21, 2025) (blog​.stephenturner​.us). Gemini 3, R updates, Antigravity, DuckDB encryption, R+AI talks, biology essays, and AI-driven coding advances across Python and R

2025-11-21 AI Newsletter (posit​.co). Posit AI newsletter covers model releases, TOON tokenization, and ecosystem tools for R, Python, and LLMs with insights from Sara and Simon

Weekly Web Harvest for 2025-11-16 (bionicteaching​.com). Weekly Web Harvest highlights data viz with R and ggplot2, plus quotes on AI use in law enforcement and cybersecurity insights

🤖 R & AI

Tool Calling UI in shinychat (shiny​.posit​.co). Shinychat adds rich tool-calling UI for R and Python, enabling visible tool calls and results in LLM-powered Shiny apps

kuzco | Computer Vision made easy (r-consortium​.org). Kuzco uses LLMs for prompt-driven computer vision in R, returning JSON outputs and offering a Shiny UI and multi-model support

Introducing {geodl}: An R package for geospatial semantic segmentation (r-consortium​.org). Geospatial semantic segmentation in R using geodl with torch, terra, and luz, featuring UNet variants and wall-to-wall spatial predictions

Privacy and AI Assistants (posit​.co). Posit discusses Privacy and AI Assistants, with insights from Simon Couch and Sara, plus tools for R, Python, and LLM integration

🧰 Packages & Development

Setting up a local HPC cluster with SLURM for testing & learning (tomsing1​.github​.io). Local HPC cluster with SLURM using slurm-docker-cluster, Docker Compose, and R (clustermq) on macOS

Jarl: just another R linter (etiennebacher​.com). Etienne Bacher introduces Jarl, a Rust-based R linter that parses code for patterns, offers automatic fixes, and supports CI workflows

{bidux} v0.3.3: Where Databases Meet Quick Decisions (jrwinget​.com). Bidux v0.3.3 enables direct DBI-backed telemetry, quick suggestions, and Quarto-ready dashboards for R users

Créer des flowcharts cliniques sous R : exclusions, populations analysées et filtrages automatisés (delladata​.fr). Flowcharts cliniques sous R with fc_filter, fc_split, et fc_draw pour documenter exclusions et populations analysées

(ICYMI) RPweave: Unified R + Python + LaTeX System using uv (thierrymoudiki​.github​.io). (ICYMI) RPweave: Unified R + Python + LaTeX System using uv

Two New tidymodels Packages (tidyverse​.org). Two new tidymodels packages filtro and important introduce feature selection tools for tidymodels workflows in R

posit::conf(2025) Quarto talks (quarto​.org). Videos of posit::conf(2025) talks showcase Quarto features, extensions, workflows, teaching, and publishing

🗺️ Geospatial Projects

Create custom GPS route maps in R (nrennie​.rbind​.io). Using R to create custom GPS route posters with gpx, sf, osmdata, ggplot2, and ggtext

Impact of Nightlife on Barcelona Districts (jmsallan​.netlify​.app). Explores nightlife distribution in Barcelona districts using 2019/2024 Open Data BCN data, with R (tidyverse, sf) visualizations and district population metrics

Day 24: The Mud Lakes of Nova Scotia (dewey​.dunnington​.ca). Using SedonaDB in R with sf, wk, geos, ggplot2 and patchwork to map 46 Mud Lake polygons in Nova Scotia

Understanding the Rise in Domestic Terrorism: Context Matters (stevenponce​.netlify​.app). Population-adjusted domestic terrorism trends reveal a 26% per-capita rise, using R, tidycensus, and ggplot2 visualization by Steven Ponce

EPSG:3035 (r​.iresmi​.net). Lambert azimuthal equal-area projection for Europe, with R and sf-based reprojection of the globe and ggplot2 visualization

Perseverance (r​.iresmi​.net). Perseverance voyage on Mars using R with sf, dplyr, ggplot2, glue; 30DayMapChallenge entry

📊 Statistical Methods

RWE Data Analysis Using Propensity Score Matching (PSM): Concept, Implementation, and Interpretation (mihiretukebede​.com). RWE data analysis with Propensity Score Matching in R (MatchIt), balance diagnostics, and ATT estimation using Lalonde data

Neyman-Pearson Tests: An Episode in Anglo-Polish Collaboration: (3.2) (errorstatistics​.com). N-P Tests outline steps for constructing tests, discuss historical context with Neyman and Pearson, and compare severity and probabilistic criteria

Classification error and relative rates (emilkirkegaard​.com). Measuring classification error in race labeling with simulations in R; DeepFace, census name stats, and misclassification effects

Are R^2 values declining in every scholarly field? And if so, what could or should be done about that? (dynamicecology​.wordpress​.com). R^2 values trend across fields; ecology, accounting, and economics; preprint insights; causal inference limits

Which explanation is best? (larspsyll​.wordpress​.com). Explores inference to the best explanation, its justification, fallibility, and epistemic status within science and reasoning

📚 Academic Research

Single-Dataset Meta-Analysis For Many-Analysts And Multiverse Studies (arxiv:stat). Introduces single-dataset meta-analysis to avoid overconfident conclusions from many‑analyst multiverse studies by weighting dataset information once. Implementable using standard R meta packages, promoting reproducible workflows

Comparing Bayesian and Frequentist Inference in Biological Models: A Comparative Analysis of Accuracy, Uncertainty, and Identifiability (arxiv:q-bio). Compares Stan HMC Bayesian and frequentist bootstrap inference across biological ODE models, showing when each excels depending on data observability. Practical guidance for R analysts

ggskewboxplots: Enhanced Boxplots for Skewed Data in R (arxiv:stat). Introduces ggskewboxplots R package integrating skew-aware boxplot variants into ggplot2, reducing swamping and masking for skewed data. Valuable for R visualisation and robust EDA workflows

👋 Before you go...

I've got a big favor to ask - keeping Blaze running isn't expensive, but it does all add up, so I'm asking readers like you to help, if you can, by joining the Patreon page. Nothing flashy, just a way for folks who find value in these newsletters to chip in a little each month.

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