I remember the day that I started to use R programming. I had a basic interface to write and execute the code. After that experience, R Studio emerged as a powerful IDE for R programming for me. It provided a user-friendly interface, integrated tools...

Introduction: Copyright Law and Whatnot I recently watched a clip from a debate between Timothy Nguyen of Google Deepmind and Danish author Janne Teller. The debate, entitled Technology and Freedom, took place at Hay-on-Wye in summer 2025. On the subj...

New R Package called LazyMouse with single function for randomly moving mouse cursor in your favorite R IDE. For every R developer, R data scientists and all those everyday R users, that also need a break and do not want…Read more ›

AI btw v1.1.0: Implements a toolkit for connecting R environments with Large Language Models (LLMs). Provides utilities for describing R objects, package documentation, and workspace state in plain text formats optimized for LLM consumption. ...

In my previous post, I shared my annual running stats which were generated in R using summary data from Garmin Connect. The code I use to generate these summaries was beginning to get a bit unwieldy, so I have now rebased it into a package. GarminCSVr – is an R package ...

Using yieldcurveml in Python examples for 'Beyond Nelson-Siegel and splines: A model- agnostic Machine Learning framework for discount curve calibration, interpolation and extrapolation'

      I have been at lots of business meetings where the speaker would say something like, "As the red line clearly demonstrates, ..."       I would quickly look up at two particular co-workers. ...

Testing Super Learner with TMLE showed some interesting patterns 🤔 XGBoost + random forest only hit ~54% coverage, but tuned xgboost + GLM reached ~90%. Seems like pairing flexible learners with stable (even misspecified) models helps? Need to explo...

1 Introduction This article is part of a broader series on data preprocessing in R. In earlier posts, we focused on two problems that quietly ruin analyses long before modeling begins: missing data and outliers. Both topics shared a commo...

In this post I’ll use R to recap my running data from 2025. Previous round-ups are here (2021, 2022, 2023, not sure why I didn’t post one for 2024…). I had a goal of running a total distance of 3650 km in 2025. In truth, after running 3500 km in 2024, I decided to aim […]