R-bloggers

R-bloggers is a platform that leverages the content from various documents to provide concise summaries for its audience. The platform serves as a hub for information and insights related to a wide range of topics. By summarizing the content from diverse sources, R-bloggers aims to offer valuable and easily digestible information to its readers. The platform’s summaries are designed to provide a quick overview of the key points and insights covered in the original documents, making it a convenient resource for individuals interested in staying informed about the latest developments in various fields.

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useR! 2026: Futurize – Tearing Down Parallelization Barriers in R with Transpilers

R-bloggers

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 Warzaw, Poland. Title: Futurize - Tearing Down ...

How to Get Sports Betting Data in R: Free APIs, Historical Odds and Daily Updates

R-bloggers

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 historical results, team or player statistics, bo...

McNemar’s test in R

R-bloggers

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 related. As mentioned in that article (and ...

A Summer, Explained with R

R-bloggers

It’s 2:47pm, the meeting has been running for 38 minutes, and someone has just said, “Can everyone see my screen?” You’re trying to concentrate, your laptop fan sounds like it’s preparing for take-off...

Take Your R Projects on the Road: Using R on Your Raspberry Pi, Android Device, and iPhone

R-bloggers

This post explores using R and RStudio with Raspberry Pi, Android OS and iPhone. A simple R programming example is provided. Continue reading: Take Your R Projects on the Road: Using R on Your Raspber...

Breaking the Python Barrier: Building a Pure R-Native DeepAR Engine with LibTorch

R-bloggers

Deep learning for time series forecasting in R has historically faced a major architectural hurdle: Python overhead. Frameworks like modeltime.gluonts provide interface wrappers around AWS GluonTS, bu...

PyData Berlin Talk on our new within Fixed Effect Solver

R-bloggers

Yesterday I was in Berlin for the day and presented at the local PyData Meetup on our new solver for fixed effects regression. It was of course a lot of fun! The development was prompted by an issue w...

Notes on purposeful skill maintenance/improvement/neglect

R-bloggers

Over the course of my life I’ve invested a lot of time and effort into the acquisition of different skills, abilities, competencies, specialized knowledge – for simplicity I will refer to all of it as...

Creating self-contained R scripts for rendering Quarto documents using the knitr engine – courtesy of the new R package managers ir and uvr

R-bloggers

Introduction In previous posts I have described how to use the self-contained Python scripts feature in the uv Python package manager to create virtual environments to render Quarto documents using th...

More progress with Tabler for R

R-bloggers

For R users that are just starting with R or that have been using it for years Continue reading: More progress with Tabler for R

Token Maxxing

R-bloggers

Claude Codex Usually I don’t watch much youtube (a social phenomenon I have somewhat missed out on), but here’s an interesting video about another social phenomenon I have somewhat experienced myself ...

A Tiny Iroshizuku Ink Shop in R

R-bloggers

色彩雫 I just discovered that the R script I had written while back, which was a hand-curated colour palette of Pilot Iroshizuku fountain pen inks. Pilot describes Iroshizuku as a combination of iro = co...