Close To Me: finding close parkruns

January 26, 2026 | Stephen Royle

I saw a fun video on YouTube recently in which some runners attempted to do two parkruns in one day. I don’t mean run the same parkrun course twice, I mean they ran one parkrun at one course and then drove to a different course and ran that one ...
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Fight Data Science in R: Proven Boxing Metrics & Models

January 25, 2026 | rprogrammingbooks

Boxing analysis is no longer just about punch totals or “who looked busier.” Modern fight analysis is data science: repeatable pipelines, validated data, explainable models, and performance indicators that translate into strategy. This post shows how to build a professional fight data science workflow in R—from raw data to ... [Read more...]

pharmaversesdtm 1.4.0 Release

January 22, 2026 | Lina Patil

We are pleased to announce the release of {pharmaversesdtm} 1.4.0 🎉 This release expands the breadth of SDTM test data available in the package, with a particular focus on neurology and oncology, alongside several targeted enhancements and fi...
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ChatGPT’ed Monte Carlo exam

January 21, 2026 | xi'an

This semester I was teaching a graduate course on Monte Carlo methods at Paris Dauphine and I decided to experiment how helpful ChatGPT would prove in writing the final exam. Given my earlier poor impressions, I did not have great expectations and ended up definitely impressed! In total it took ...
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Volleyball Analytics with R: The Complete Guide to Match Data, Sideout Efficiency, Serve Pressure, Heatmaps, and Predictive Models

January 17, 2026 | rprogrammingbooks

Volleyball Analytics Volleyball Analytics with R: A Practical, End-to-End Playbook Build a full volleyball analytics workflow in R: data collection, cleaning, scouting reports, skill KPIs, rotation/lineup analysis, sideout & transition, serve/receive, visualization, dashboards, and predictive modeling. Table of Contents Why Volleyball Analytics (and Why R) Volleyball Data Model: Events, ... [Read more...]
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