R-bloggers

I had a lot of fun this morning, brainstorming and assembling this _Analytics Pipeline_ for Dashboards with Claude (and yes it takes much, much more than only 10 prompts).

There are ten public training courses left in 2026, running through October and November. If you’ve been meaning to learn Python, build your first Shiny app, or get to grips with machine learning in R, there’s still time to do it befo...

Executive Summary MicroStrategy (MSTR) has fundamentally transitioned from a traditional enterprise software firm into an equity-based Bitcoin (BTC) holding vehicle and treasury operation. Evaluating MSTR using conventional corporate finance metrics (such as Price-to-Earnings or EBITDA multiples) fails to capture the core driver of its equity valuation: the dynamic Net Asset ...

You can read the original post in its original format on Rtask website by ThinkR here: We chose React to learn it. The AI wrote it for us. Diary of a rewrite, episode 1 of 4. In February 2026 we chose React to rebuild an internal tool, knowing full well it would take ...

Introduction Data Friedman test Aim and hypotheses Assumptions In R With base R With the {rstatix} package Interpretations Post-hoc tests Pairwise Wilcoxon signed-rank tests Nemenyi test Conover test Combination of statistical results and plo...

The last post identified potential transition pathways for truck drivers based on how closely other occupations matched them on skills, abilities and knowledge. This post follows the same basic approach across a wider range of occupations and asks whether two proxies could stand in for the ratings where no O*...

Chain-Ladder reserving in polars, validated against R and Whittaker-Henderson smoothing for a difficult development pattern.

This post is a follow-up to my previous posts on semi-parametric option pricing. A link to the study (accepted for presentation at the osQF 2026 conference) is provided at the end of this post.

Today’s just a very short sequel to last week’s post, where I had a look at some very skewed distributions to test the idea that sample sizes sometimes need to be in the tens of thousands for the sample mean to have a normal distribution. Turns out the...

You can read the original post in its original format on Rtask website by ThinkR here: From URL to Theme: How {css2r} Steals a Website’s Colours, and Where It Gives Up You have thirty minutes before the demo, and your Shiny app still looks like Bootstrap 5 out of ...

R on Windows made faster

There is a quote I really love from Marc Kéry’s book, “Introduction to WinBUGS for Ecologists” (2010, p. 11): “WinBUGS helps free the modeler in you.” And it’s so true! Once you deeply understand a statistical model in all its moving part...

Frank Harrell made this enlightening comment on BlueSky the other day: “At the heart of the failure of the CLT (central limit theorem) is its need for the mean and standard deviation to be independent. With asymmetric distributions they are far fr...