Shows / R-bloggers
Episodes
- R-bloggers
Autumn 2026 Data Science Training Courses
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…
- R-bloggers
On Exact Hat Algebras
What is a hat algebra and why it is useful to solve maximization problems Continue reading: On Exact Hat Algebras
- R-bloggers
Quantitative Event-Driven Modeling: BTC Balance Sheet Shocks with SEC EDGAR Filings in R
Executive Summary MicroStrategy (MSTR) has fundamentally transitioned from a traditional enterprise software firm into an equity-based Bitcoin (BTC) holding…
- R-bloggers
Data dictionaries for humans, agents and jumping frogs
Apparently, you can rent a frog and enter a jumping competition. You might find yourself competing against teams with years or even decades of experience…
- R-bloggers
We chose React to learn it. The AI wrote it for us.
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…
- R-bloggers
Friedman test in R, or the nonparametric version of the repeated measures ANOVA
Introduction Data Friedman test Aim and hypotheses Assumptions In R With base R With the {rstatix} package Interpretations Post-hoc tests Pairwise Wilcoxon…
- R-bloggers
Más Allá del Código: muestra abierta de los proyectos de nuestros campeon(a|e)s
How to join this free online event with Ana Carolina Moreno, Diana Garcia Cortes, Erick Navarro Delgado, Guadalupe Pascal, Valentina Clavijo Mesa, Monika Avila…
- R-bloggers
O*NET ratings, job descriptions and classification codes as measures of occupational similarity
The last post identified potential transition pathways for truck drivers based on how closely other occupations matched them on skills, abilities and…
- R-bloggers
When Chain-Ladder Factors Misbehave: Smoothing Reserves with Polars and Whittaker-Henderson
Chain-Ladder reserving in polars, validated against R and Whittaker-Henderson smoothing for a difficult development pattern. Continue reading: When…
- R-bloggers
Semi-parametric option pricing based on underlying’s historical data (accepted at the osQF 2026 (ex R/Finance) conference)
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…
- R-bloggers
The AI Hammer
A short reflection on the use of tools without consideration Continue reading: The AI Hammer
- R-bloggers
Bootstrap v traditional asymptotic normal assumptions by @ellis2013nz
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…
- R-bloggers
From URL to Theme: How {css2r} Steals a Website’s Colours, and Where It Gives Up
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…
- R-bloggers
R Batteries Included (R 4.6.1 with OpenBLAS and Intel MKL) is now publicly accessible
R on Windows made faster Continue reading: R Batteries Included (R 4.6.1 with OpenBLAS and Intel MKL) is now publicly accessible
- R-bloggers
Join the R-Community on Google Groups and the next London R Users Group Social Event
Think about Stackoverflow/Reddit minus the negativity. Continue reading: Join the R-Community on Google Groups and the next London R Users Group Social Event
- R-bloggers
coinclp: the COIN-OR Clp linear programming solver is back on CRAN
Two small R packages of mine have gone to CRAN. coinclp binds the COIN-OR Clp linear programming solver and was accepted on […] The post coinclp: the COIN-OR…
- R-bloggers
Supporting open source work
An update on my open source work, and how you can help me keep doing it Continue reading: Supporting open source work
- R-bloggers
General code to fit ANOVA models with JAGS and ‘rjags’
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…
- R-bloggers
Sample size needed for central limit theorem to kick in by @ellis2013nz
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…
- R-bloggers
Grubbs’ Test in R: grubbs.test() Explained with a Real Example
Run Grubbs' test in R with grubbs.test() from the outliers package. Verified mtcars example with real G, U, and p-value output, plus when the test applies and…
- R-bloggers
Happy Birthday rOpenSci — My Journey from First-Time Developer to Current Opportunities
What? People would fund me and mentor me building my own R package? My first time hearing about rOpenSci was, interestingly, at a bird conference. At an…
- R-bloggers
R Batteries Included (R 4.6.1 with OpenBLAS and Intel MKL)
R on Windows made faster Continue reading: R Batteries Included (R 4.6.1 with OpenBLAS and Intel MKL)
- R-bloggers
Model-agnostic prediction intervals in Python and R: does nnetsauce’s `QuantileRegressor` hold up?
Point predictions tell you what a model *thinks* will happen. They don't tell you how much to trust that number. nnetsauce's `QuantileRegressor` takes any…
- R-bloggers
chilemapas is back on CRAN
Maps of the Political and Administrative Divisions of Chile Continue reading: chilemapas is back on CRAN
- R-bloggers
How to Create a Function in R: Custom Median & ggplot2 Examples
If you've written the same block of R code three times this week — a group summary, a plot, a cleanup step — you don't need another package. You need a…
- R-bloggers
Navigating Challenges in Spatial Machine Learning
Spatial machine learning has become a standard tool for producing environmental and geographic prediction maps. It is now relatively (technically) easy to…
- R-bloggers
ahead (Time Series Forecasting with uncertainty quantification) gets a lot faster to install: most dependencies are now optional
ahead (R) 0.38.1 and its Python wrapper now install in a fraction of the time, by moving almost every heavy modeling dependency from Imports to Suggests and…
- R-bloggers
Research Workflows
I’m teaching MPTC again this semester and have been developing a few workflow slides. Here’s a popular one. The Scientific Process. Now if you’ll excuse me…
- R-bloggers
Analysing seed germination and emergence data with R (a tutorial)
Germination and emergence assays are pretty straightforward to set up: you grab a sample of seeds, put them in a container under controlled environmental…
- R-bloggers
Visualising High-dimensional Data with R workshop
Join our workshop on Visualising High-dimensional Data with R, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Visualising…
- R-bloggers
Bringing BERT — R functions in Excel — up to R 4.6
BERT lets you call R functions from Excel cells, but its author stopped work in 2018. Bringing it up to R 4.6 — and to working on every R from 3.5 up — turned…
- R-bloggers
R For SEO Part 10: SEO Reporting With Google Sheets & OpenRouter
R For SEO Part 10: SEO Reporting With Google Sheets & OpenRouter Welcome back, and we’re finally at the end of my R for SEO series, at least for now…
- R-bloggers
Slicing in tidyomics
Introduction The tidyverse verb slice() lets you select observations by position, returning a subset of the data based on integer indices. There are also some…
- R-bloggers
Z-Test in R: Complete Guide with One-Sample & Two-Sample Examples
Complete guide to running one-sample and two-sample Z-tests in R using BSDA::z.test(), the manual pnorm/qnorm method, and how to choose between a Z-test and a…
- R-bloggers
ROC, Paper, Scissor, Shoe
📊 Working through ROC-AUC from scratch, then poking at its blind spots — low prevalence, calibration, and finally Decision Curve Analysis. Mostly notes to…
- R-bloggers
Skewness-Managed Portfolios: A Practical Guide with R
Introduction Portfolio construction often relies on mean–variance optimization or factor models. Yet, recent research highlights the importance of skewness—the…
- R-bloggers
Repeated measures ANOVA in R
Introduction Data Aim and hypotheses Assumptions Variable type and design Independence between subjects Normality Sphericity Outliers Repeated measures ANOVA…
- R-bloggers
Identifying skills-based occupational transition pathways with the O*NET
This post estimates potential labor market transition pathways based on the similarity of skills, abilities and knowledge required by occupations. The approach…
- R-bloggers
Skip the R/Python runtime: fast tabular dashboards with Observable Framework
Shiny and Streamlit dashboards depend on a live R or Python process, which makes vanilla deployments slow to load. Observable Framework compiles your data…
- R-bloggers
Iroshizuku Meets a Flow Field
I really only wanted to spill some fountain pen ink. Not literally. That would be expensive. 🖋️ I wanted to take colours inspired by Pilot’s Iroshizuku…
- R-bloggers
[R] Understanding position_dodge() and position_dodge2() in ggplot2
Zhenguo Zhang's Blog https://fortune9.netlify.app/2026/08/30/r-understanding-position-dodge-and-position-dodge2-in-ggplot2/ - In ggplot2, when displaying…
- R-bloggers
Making Iroshizuku Interactive with Observable
One tiny dataset, another rabbit hole 🐇🕳️ In the previous post, I turned 24 Pilot Iroshizuku fountain pen inks into a tiny shop using ggplot2. But while…
- R-bloggers
July 2026 Top 40 New CRAN Packages
Three hundred fifty-three new packages were submitted to CRAN in July. Here are my Top 40 picks in nineteen categories: Causal Inference, Chemistry, Climate…
- R-bloggers
rOpenSci News Digest, August 2026
Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci!…
- R-bloggers
wbstats 1.2.0 is now on CRAN
Programmatic Access to Data and Statistics from the World Bank API Continue reading: wbstats 1.2.0 is now on CRAN
- R-bloggers
Reading notes on Naming Things by Tom Benner
Naming Things by Tom Benner a tiny but neat book about the naming of identifies in code (variables, classes, methods, so not packages or libraries). It had…
- R-bloggers
Do you need a custom R package or Shiny app? I can build it for you
I offer turning a set of requirements into a maintainable package or dashboard Continue reading: Do you need a custom R package or Shiny app? I can build it…
- R-bloggers
Cochran’s Q test in R, or the extension of McNemar’s test for more than two groups
Introduction In previous articles, we showed how to test whether two qualitative variables are related thanks to the Chi-square test of independence in R (and…
- R-bloggers
On the Expectation-Maximization (EM) algorithm and regression models
Using an iterative optimization framework to rethink regression models Continue reading: On the Expectation-Maximization (EM) algorithm and regression models
- R-bloggers
Does state life expectancy correlate with political party voting?
Overview Do people in red states live shorter lives? This project examines whether state level life expectancy is statistically associated with each state's…
- R-bloggers
Using GitHub Actions to deploy to Posit Connect Cloud
We’ve previously extolled the virtues of automating the repetitive chores we encounter, allowing us to focus on the tasks that matter. Three years ago, we…
- R-bloggers
Running local large language models not as difficult as you might think
This post was originally published on our collaborative substack site. Visit the site to follow us and read more similar posts. Jointly authored by Chris…
- R-bloggers
socviz 2.0.0 on CRAN
In anticipation of the second edition of Data Visualization, which is coming later this year from Princeton University Press, version 2.0.0 of my socviz…
- R-bloggers
The boring part first: Building a crosswalk from O*NET-SOC to ANZSCO
There's no official crosswalk between the ONET's occupational taxonomy and ANZSCO, which is awkward, because Australian researchers use ONET data all the time…
- R-bloggers
BiocJobs: declaring dispatchable jobs inside Bioconductor packages
The gap Much of what Bioconductor packages do is interactive and exploratory, and rightly belongs in an R session. But some of it is batch-shaped: a…
- R-bloggers
Learning how to extract parts of a string
This week I took time to re-read The Programmer’s Brain by Felienne Hermans. Among the many gems one idea that stuck with me is that not learning how to do…
- R-bloggers
Reading notes on The Programmer’s Brain by Felienne Hermans
Prompted (😉) by some AI dread, I decided to go back to some basics and re-read The Programmer’s Brain by Felienne Hermans. Felienne Hermans’ work caught my…
- R-bloggers
useR! 2026: Futurize – Tearing Down Parallelization Barriers in R with Transpilers
Below are the slides for my Futurize - Tearing Down Parallelization Barriers in R with Transpilers talk that I presented at the useR! 2026 conference in…
- R-bloggers
How to Get Sports Betting Data in R: Free APIs, Historical Odds and Daily Updates
Building a sports betting model in R does not begin with machine learning or a complicated statistical formula. It begins with reliable data. You need…
- R-bloggers
McNemar’s test in R
Introduction In a previous article, we showed how to perform the Chi-square test of independence in R in order to test whether two qualitative variables are…