R-bloggers

maestro reaches stable release

April 20, 2026 | Will Hipson

maestro has officially graduated to stable release with version 1.0.0 back in January 2026 and now its latest version 1.1.0. This marks a commitment to maintaining a stable API and increased reliance on using maestro in production. In our e...

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New York City Hexmaps

April 19, 2026 | Kieran Healy

The five boroughs of New York City can be informally or formally carved up into many different pieces, depending on what it is that you’re doing. As part of an ongoing project, I recently made an R package, nycmaps, that lets you draw maps of som... [Read more...]

Fun pictures with ggplot2 and scico packages

April 18, 2026 | Guillaume Pressiat

This wonderful post from Jonathan Caroll give me idea to play with ggplot2 code and scico color palettes: Also see this toot from Stefan Siegert, inspiring! I took the code from the toot mentioned above, modified it, and used it to have a littl...

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[R] How to modify the theme used by blogdown?

April 17, 2026 | R on Zhenguo Zhang's Blog

Zhenguo Zhang's Blog /2026/04/18/r-how-to-modify-the-theme-used-by-blogdown/ -My website is built using blogdown and published on Netlify via CI/CD. Recently, I updated my Hugo version from 0.92 to 0.154.2. Unfortunately, this update broke the deployme... [Read more...]

Schotter Plots in R

April 16, 2026 | Jonathan Carroll

Translating things between languages reveals how each language approaches different design trade-offs, and I believe it’s a useful exercise. Having something to translate is the first step. I found a plot I wanted to generate, and some code that reproduced it, so off we go! I don’t recall ...

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What’s new in R 4.6.0?

April 16, 2026 | The Jumping Rivers Blog

R 4.6.0 (“Because it was There”) is set for release on April 24th 2026. Here we summarise some of the more interesting changes that have been introduced. In previous blog posts, we have discussed the new features introduced in R 4.5.0 and earlier versions (see the links at the end of this post). ...

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My Domain: proteome-wide scanning of TMDs

April 16, 2026 | Stephen Royle

I wanted to know: After a little bit of searching, I couldn’t find any answers. So I decided to use R to retrieve the necessary info from Uniprot and calculate it myself. I thought I’d post it here in case it’s useful for others. Human We’ll ...

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Expanding the Editorial Team: Alec Robitaille and Lucy D’Agostino McGowan Join as Editors

April 15, 2026 | rOpenSci

At rOpenSci, we’re continually grateful for the support and engagement of our community, who help make research open-source stronger, more inclusive, and more collaborative. The software peer review program continues to grow, and today we announ... [Read more...]

Stage II OSCC — Health Economics Model

April 15, 2026 | Joseph Rickert

Most health care economics models are constructed from the perspective of a managed health care system such as those offered in Canada and several European countries, or from the perspective of some other third party such as an insurance company...

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Why Most Time Series Models Fail Before They Start

April 15, 2026 | M. Fatih Tüzen

1 A model can run and still be fundamentally wrong Many time series models fail before they even begin. Not because the software crashes. Not because the code is wrong. But because the data entering the model violate one of the most impor...

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logrittr: A Verbose Pipe Operator for Logging dplyr Pipelines

April 15, 2026 | Guillaume Pressiat

dplyr verbs are descriptive: let’s make them more verbose! Yet another pipe for R. Motivation In SAS, every DATA step prints a log: NOTE: There were 120000 observations read from WORK.SALES. NOTE: 7153 observations wer...

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Dealing with correlation in designed field experiments: part II

April 14, 2026 | Andrea Onofri

With field experiments, studying the correlation between the observed traits may not be an easy task. For example, we can consider a genotype experiment, laid out in randomised complete blocks, with 27 wheat genotypes and three replicates, where sev...

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Programming with LLMs in R & Python

April 14, 2026 | The Jumping Rivers Blog

Working with LLMs in Practice Large Language Models are becoming part of everyday data science work. But using them through chat interfaces is only one part of the picture. In this upcoming webinar, we focus on how to work with LLMs programmatica...

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Marathon Man II: how to pace a marathon

April 14, 2026 | Stephen Royle

It’s often the way. I posted recently about how to pace a marathon and very quickly received feedback that would’ve improved the original post. Oh well, no going back. This is take two. So, we have a dataset of all runners from the 2025 New York City Marathon. We ...

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Do AI coding agents save scientists time?

April 13, 2026 | Seascapemodels

I’m often asked if using AI coding agents saves time. Yes they write code very quickly and can complete entire ecological data analyses. Do agents really help when the deadlines are approaching? Do agents really help when the deadlines are ...

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reviser: Analyzing Real-Time Data Revisions in R

April 12, 2026 | rOpenSci

Economic data are rarely static. Gross domestic product (GDP), inflation, employment, and other official statistics arrive as early estimates, then get revised as new source data arrive, seasonal adjustment is updated, or benchmarking changes are appl... [Read more...]

`mlS3` — A Unified S3 Machine Learning Interface in R

April 11, 2026 | T. Moudiki

Introduction to `mlS3` — A Unified S3 Machine Learning Interface in R

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Test & Roll: Why Smaller A/B Tests Can Make More Money

April 11, 2026 | Florian Teschner

Short practical advice on A/B testing: Stop sizing tests only for statistical significance - In finite campaigns, your goal is profit, not perfect inference. Treat testing as a trade-off - Every extra test exposure buys learning but ... [Read more...]

Machine Learning Frameworks in R

April 11, 2026 | R'tichoke

R’s ecosystem offers a rich selection of machine learning frameworks, each with distinct design philosophies and strengths. This post is a side-by-side comparison of five ML frameworks in R that provide unified interfaces over multiple algorithms... [Read more...]

New R Package {bdlnm} Released on CRAN: Bayesian Distributed Lag Non-Linear Models in R via INLA

April 10, 2026 | Pau Satorra

CRAN, GitHub TL;DR: {bdlnm} brings Bayesian Distributed Lag Non-Linear Models (B-DLNMs) to R using INLA, allowing to model complex DLNMs, quantify uncertainty, and produce rich visualizations. Background Climate change is increasing exposure to extreme environmental conditions such as heatwaves and air pollution. However, these exposures rarely have immediate effects. ... [Read more...]

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