Heavy R programming

News and information about the R programming language

  • When forecasting high-volatility financial assets like Bitcoin (BTC-USD), standard point-prediction models—whether classical ARIMA or deep neural networks—often fall short. A point estimate tells you where the model expects the price to go, but it completely ignores market regime shifts and changing risk levels. In this article, we construct … Continue reading: Hybrid Machine Learning & […]
  • Mark Padgham is leaving rOpenSci at the end of October, and we want to take this moment to recognize his impact and say thank you for helping to shape rOpenSci. Mark joined rOpenSci as a staff member in December 2019 to help us expand software peer re… Continue reading: Mark Padgham: Building the Machinery of […]
  • 1 Documentation was always the point TKCat (Tailored Knowledge Catalog) is built on a simple idea: a knowledge resource is more than a set of tables. In TKCat, each resource is a modeled database (MDB) that contains: a general description of t… Continue reading: TKCat meets LLMs: an MCP server for well-documented knowledge resources
  • REX d’une firme minimale : auditer sa veille IA, protéger ses notes et mesurer les limites du contrôle humain. Continue reading: J’avais écrit les règles. Je n’avais pas encore vérifié leurs effets.
  • I often need to get mainland from country / administrative region polygons, so I finally decided to write a function to help automate it. It selects the N largest feature(s) in a polygons or lines map. Here’s the code: The … Continue reading → Continue reading: Get largest (e.g. mainland) polygons from a map
  • For the life of me, I couldn't get Ctrl+Shift+M to work for inserting pipes (|__) when editing a Quarto document in Positron visual mode. After countless hours fiddling with keybindings.json, I developed a functional, but obtuse workaround for Windows. It's not pretty, but it works. This post outlines … Continue reading: Getting the pipe shortcut […]
  • On 22 July 2026 at 15:05, I made the first commit to a new repository. It held an empty R package and one Excel workbook with field data from a household waste study in Kampala, Uganda. Three minutes later I sent the first prompt to Claude Code:… Continue reading: From a raw spreadsheet to a […]
  • In June 2026, rOpenSci marked its 15th anniversary with three community celebration events: a themed coworking event and two extra events. This post captures the reflections and ideas shared by participants across the two special gatherings named &ldq… Continue reading: Celebrating 15 Years of rOpenSci: Then, Now & Next
  • This post explores the impact of the split_prob parameter in the ahead::conformalize() function on the resulting prediction intervals. Continue reading: Choosing the size of the calibration set in conformal prediction with ahead::conformalize()
  • Thanks to the awesomeness of webR and Shinylive, the tool I made in back in 2014 to estimate your blood alcohol concentration (BAC) now runs 100% in the browser, no server needed! Try the browser version of drinkR here! Continue reading: Estimate your BAC, now 100% in the browser

The 8 Best R Programming Books in 2022

New features in R 4.2.0

New course aims to train next generation of data scientists

“Ogihara and Bonnell chose to use R because it is attuned to statistical analysis and, by incorporating an increasingly popular collection of tools in R called tidyverse, students can easily learn how to process, wrangle, transform, and model data on their own, too.”

See also:

How to do R-like data manipulations using Pandas?
R and Python play a crucial role in handling and manipulating the data. Many beginners find it difficult to shift from Python to R or vice-versa in such requirements. This will help the beginners to understand the differences and also help them switch in between.

Infoworld: R Language | News, how-tos, features, reviews, and videos

Quick R – Quick intro to the R programming language

The R Project for Statistical Computing

R Commander: A Basic-Statistics GUI for R

Heavy R Programming