Search fresh public links, source activity, and post angles for R Bloggers.
Fresh curated links around R bloggers are collected here so marketers can spot useful updates and turn timely ideas into posts faster.
Recent items include:
Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.
Introduction rOpenSci’s R-universe system is an open source platform allowing users to create their own CRAN-like universe of R packages. It is absolutely fantastic. It is partic...
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 fi...
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 vis...
{talib} is a new R package built on TA-Lib, which is now available on CRAN. The R-package is targeted at individuals and, perhaps, institutions who, in some form or the other, inte...
As we approach the decennial (10-year) anniversary since Jumping Rivers was founded in 2016, it’s a good time to reflect on what we have achieved in that time and share some lesson...
Introduction Universities are increasingly using collaborative learning pedagogies, which can benefit learners through deeper understanding of course content and teamwork skills. H...
Hello, I’d like to share CougarStats, a free and open-source R Shiny web app I developed to support the teaching and learning of Statistics. CougarStats runs entirely in...
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Batool Almarzouq, with help from the R Weekly team memb...
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 a...
1 Introduction Graph databases excel at storing and traversing highly connected data used for recommendation engines, fraud detection, knowledge graphs, and social networks. Neo4j...
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 framew...
Introduction to `mlS3` — A Unified S3 Machine Learning Interface in R Continue reading: `mlS3` — A Unified S3 Machine Learning Interface in R
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jonathan Kitt, with help from the R Weekly team members...
dplyr verbs are descriptive: let’s make them more verbose! Yet another pipe for R. Repost for better image handling on r-bloggers. Motivation In SAS, every DATA step print...
This article is cross-posted on rOpenSci and R-Consortium blogs. For more than two decades, the Bioconductor project has been a cornerstone of the R ecosystem, providing high-quali...
For more than two decades, the Bioconductor project has been a cornerstone of the R ecosystem, providing high-quality, peer-reviewed tools for bioinformatics and computational biol...
Three hundred seventy-one of the new packages submitted to CRAN in March were still there in mid-April. Here are my Top 40 picks in fifteen categories: Causal Inference, Computatio...
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Jon Calder, with help from the R Weekly team members...
If you’ve read any of my past posts you know I like to program in several different languages, some of which I like more than others. Sometimes a problem calls for a particular lan...
I’m getting more and more into data engineering these days and having used R for a long time, I’m seeing a lot of problems that look nail-shaped to my R-shaped hammer. The availabl...
For anyone interested, “Programming in R†(title translated) is a free book on R programming written in Greek. It presents a programmer’s point of view of R, for b...
Introduction In my previous job my work computer was a Windows desktop – yes, those were the days before laptops and hotdesking! My PhD student was interested in Bayesian methods a...
Prediction Intervals for Tabular Regression in Python and R via Conformalized TabICL; comparison with RidgeCV Continue reading: Conformalized TabICL: Prediction Intervals for a S...
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...
Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.