News and information about the R programming language
- I am excited to introduce a new R package called flownet providing high-performance tools for transport modeling—network processing, route enumeration, and traffic assignment in R. As of now, the package implements the Path-Sized Logit (PSL) model (Ben-Akiva and Bierlaire, 1999)—a powerful and well-established method for stochastic traffic assignment accounting … Continue reading: Introducing flownet: Efficient […]
- R • Sports Analytics • Ratings • Monte Carlo • Forecasting Sports are noisy. Teams change. Injuries happen. Upsets happen. But uncertainty is not the enemy—it’s the input. In this hands-on guide you’ll build a practical sports prediction workflow in R using tidyverse, PlayerRatings, and NFLSimulatoR, then connect ratings to Monte … Continue reading: How […]
- Palaeoverse, a grassroots organization that develops R packages for paleontology, has been awarded a Large Grant from the Software Sustainability Institute, via the Research Software Maintenance Fund, for the project ‘Converting Users to Contrib… Continue reading: Paleontology R Packages to Benefit from Software Sustainability Institute Grant
- I first encountered TMLE—sometimes spelled out as targeted maximum likelihood estimation or targeted minimum-loss estimate—about twelve or so years ago when Mark var der Laan, one of the original developers who literally wrote the book, gave a talk … Continue reading: Getting to the bottom of TMLE: influence functions and perturbations
- I first encountered TMLE—sometimes spelled out as targeted maximum likelihood estimation or targeted minimum-loss estimate—about twelve or so years ago when Mark var der Laan, one of the original developers who literally wrote the book, gave a talk … Continue reading: Getting to the bottom of TMLE: influence functions and perturbations
- Reposted from the original at https://blog.stephenturner.us/p/openai-codex-app-qqman.Earlier this week I reposted a Bluesky post from Ethan Mollick. I’m on the same page here — there are problems for sure, but these tools have irreversibly changed th… Continue reading: Repost: OpenAI Codex App: Vibe-updating my old qqman R package to ggplot2 with plan+execute.
- Short practical advise on media targeting decisions: Calculate the “Break-Even Multiplier” Before Spending Instead of asking if a targeting segment will perform better than a broad audience, calculate exactly how much better it needs to be to … Continue reading: When Targeting Gets Too Narrow: A Break-Even Lens for selecting Audience Segments
- At rOpenSci we’re continually grateful for the support and engagement of our community who help make our open-source ecosystem stronger, more inclusive, and more collaborative. The software peer review program is one of the best examples of this: brin… Continue reading: Announcing New Statistical Software Peer Review Editors: Natalia da Silva and Andrew Heiss
- In December, one hundred ninety-six new packages made it to CRAN. Here are my Top 40 picks in nineteen categories: Agriculture, Artificial Intelligence, Audio Analysis, Causal Inference, Computational Methods, Ecology, Econometrics, Epidemiology… Continue reading: December 2025 Top 40 New CRAN Packages
- A good sports betting system is not a “pick-winners” machine. It’s an uncertainty engine: it turns data into probabilities, probabilities into expected value, and expected value into position sizes that survive variance. If you can do those three steps consistently, you can build a robust process— even if individual … Continue reading: Designing Sports Betting […]
The 8 Best R Programming Books in 2022
New course aims to train next generation of data scientists
“Ogihara and Bonnell chose to use R because it is attuned to statistical analysis and, by incorporating an increasingly popular collection of tools in R called tidyverse, students can easily learn how to process, wrangle, transform, and model data on their own, too.”
See also:
How to do R-like data manipulations using Pandas?
R and Python play a crucial role in handling and manipulating the data. Many beginners find it difficult to shift from Python to R or vice-versa in such requirements. This will help the beginners to understand the differences and also help them switch in between.
Infoworld: R Language | News, how-tos, features, reviews, and videos
Quick R – Quick intro to the R programming language
The R Project for Statistical Computing
R Commander: A Basic-Statistics GUI for R
Heavy R Programming