J’avais écrit les règles. Je n’avais pas encore vérifié leurs effets.
REX d’une firme minimale : auditer sa veille IA, protéger ses notes et mesurer les limites du contrôle humain.
Get largest (e.g. mainland) polygons from a map
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 →
Getting the pipe shortcut to work in Positron
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 ...
Celebrating 15 Years of rOpenSci: Then, Now & Next
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... [Read more...]
From a raw spreadsheet to a published data package in a day
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:... [Read more...]
Choosing the size of the calibration set in conformal prediction with ahead::conformalize()
This post explores the impact of the split_prob parameter in the ahead::conformalize() function on the resulting prediction intervals.
Estimate your BAC, now 100% in the browser
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! [Read more...]
tsmp Is Back: A Faster, Friendlier Matrix Profile Workflow for R
A new chapter for the Matrix Profile in R
For a while, tsmp looked quiet. The project was not standing still, though: the Matrix Profile tools for R have been reorganized around a much clearer split between the computational engine and the everyday data-mining interface.
In tsmp 0.5.1, the package that ... [Read more...]
[Statistics] Collinearity in regression
Zhenguo Zhang's Blog https://fortune9.netlify.app/2026/10/16/statistics-collinearity-in-regression/ -
library(knitr)
library(ggplot2)
library(dplyr)
library(tidyr)
library(broom)
Problem
When performing regression analysis, you may encounter two or ...
Spring 2027 data science training courses: January to June
If you plan to learn R or Python in the new year, book before the end of November. Our spring 2027 data science training courses run from January to June, and early bird pricing on the first one ends on 29 November.
There are 22 courses on the sc...
What is an MCP server?
The Model Context Protocol (MCP) is quietly
becoming one of the most useful ideas in AI tooling.
Here, we describe what MCP is, why it matters, and how to build an MCP server yourself.
MCP is a standard way to link a Large Language Model (LLM) to the outside world.
...
Can we trust the correlation coefficient in designed field experiments?
One of the fundamental aims of field experiments is to explorare the relationships between several experimental traits, which have been recorded/measured altogheter for all the experimental units. For example, think about a genotype experiment w...
{brochure}: multipage {shiny} apps, now on CRAN
You can read the original post in its original format on Rtask website by ThinkR here: {brochure}: multipage {shiny} apps, now on CRAN
A {shiny} app is a single page: one url, one UI, one server function. That is comfortable while the app stays small. As soon as you want ... [Read more...]
maestro 1.4.0 adds custom pipeline metrics
The 1.4.0 release of maestro is out, and with it comes the ability to record custom metrics from your pipelines. Execution time and success/failure were already tracked, but there was no good way to answer questions like “how many rows did ...
Cytometry in R and opportunities to contribute to Bioconductor
Flow cytometry researchers have a growing collection of R and Bioconductor tools available to them. But for someone who is comfortable working with cytometry data and has little programming experience, knowing where to begin can be difficult. T...
A Trip from Covariance to Correlation and Back
When we have a multi-trait table of data, we might be interested in investigating variability structure and the reciprocal relationships (whether causal or non-causal) among variables. For example, let’s consider the ‘mtcars’ dataset, shown belo...
Dogs of New York
I recently updated nycdogs, a data package for R that I originally made for teaching purposes. It bundles up New York City’s dog licensing and dog bite datasets into an R package. The data is already provided by the city in a directly usable way ...
A Bayesian Network to Explore Data Center Risks
Data centers required to fuel the ambitions of Artificial Intelligence companies have sparked a nationwide conversation. AI companies are moving quickly to build out infrastructure and local communities are pushing back to resist what they see a...
Creating a permutation test, two ways
In my last post on permute, I looked at ordered set partitions and the new formula interface for plots and blocks. This time I want to show two helpers for the next part of writing a permutation test: taking those permutations and doing something...
Beyond the course: Reflections from the Bioconductor–Physalia sponsorship programme
What difference can a sponsored place on a bioinformatics course make? For some researchers, it means access to training they would otherwise struggle to afford. For others, it is an opportunity to explore a new field, work through unfamili...
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