News and information about the R programming language
- 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 […]
- Today’s paper is Byron Sharp’s 1997 “Loyalty Programs and their Impact on Repeat-Purchase Loyalty Patterns” – a classic that remains surprisingly relevant. Takeaways for marketing practitioners? Loyalty programs don’t create “excess loyalty”:… Continue reading: Do Loyalty Programs Actually Create Loyalty?
- 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! rOpenSci HQ Open call for the rOpenSci Champions Program 2026! We are pleased t… Continue reading: rOpenSci News Digest, January 2026
- I am very happy to announce the release of dfms version 1.0 (and 0.4.0 just a week earlier, see news), implementing major features such as support for dynamic factor models (DFMs) with autoregressive errors, mixed-frequency (monthly-quarterly) DFMs, including with autoregressive errors, and decomposition of forecast revisions into news releases (updates to time … Continue reading: […]
- There was a very long time without a blog post from me. I will start now again with a very short blog post with some book and blog recommendations. I think two still very hot topics currently are AI and Causal Modelling. AI For a theoretical A… Continue reading: Book Recommendations
- Guest post by Christian Martinez, developer of the nycOpenData package in R. nycOpenData: A unified R interface to NYC Open Data APIs I am pleased to announce the release of nycOpenData, an R package providing convenient, tidy access to dozens of … Continue reading: nycOpenData: A unified R interface to NYC Open Data APIs
- Read it in: Español. Maintaining an open source package is rewarding work, but it’s also a lot of work. Life and careers change, interests shift, and sometimes you simply don’t have the time or energy to keep working on your R package (and that’s okay!1). When … Continue reading: How to Recruit a New Maintainer […]
- I saw a fun video on YouTube recently in which some runners attempted to do two parkruns in one day. I don’t mean run the same parkrun course twice, I mean they ran one parkrun at one course and then drove to a different course and ran that one … Continue reading: Close To Me: […]
- Do prices feel like they are rising more than the CPI (Consumer Price Index) says? Yes. For 2025 the overall CPI increased by a pretty moderate 2.7% (CPI-U for all urban cons… Continue reading: Do prices feel like they are rising more than the CPI says?
- Thanks to Athanasia Mo Mowinckel for reviewing this post! One goal of mine this year is to learn how to crochet amigurumi, that is to say, cute creatures. When working on my first project, a cat toy made out of yarn left-over from knitting projects, I … Continue reading: Parallel strands between learning crochet and […]
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