What's New in R
A weekly roundup of new resources in the world of R.
What’s New in R: May 4, 2026
May 4, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring an introduction to Posit AI for RStudio, the newly updated second edition of a beloved data visualization book, and a Quarto extension for displaying times in readers’ local time zones. Let’s dive in!Introducing Posit AI Simon P. Couch announces the arrival of Posit AI. It’s a new AI service built into RStudio that brings the kind of AI capabilities Positron users have enjoyed for a while to a much wider audience....
What’s New in R: April 27, 2026
April 27, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a comprehensive guide to making beautiful tables with {gt}, a tutorial on interactive beeswarm charts, and a look at how one R user is building a data infrastructure for Kenyan baseball. Let’s dive in!Creating Effective Display Tables with the gt Package Richard Iannone, the creator of {gt}, has published an online book that serves as the definitive guide to building publication-ready tables in R. It covers...
What’s New in R: April 20, 2026
April 20, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a video walkthrough of Andrew Heiss’s Positron workflow, a collection of Claude skills for R users, and a skill for auto-generating _brand.yml files for Quarto. Let’s dive in!How to make your data analysis life easier using Positron, Raycast, and Espanso Andrew Heiss, professor at Georgia State University and one of the R community’s most thoughtful workflow tinkerers, sat down with Posit’s Data Science Lab to...
What’s New in R: April 13, 2026
April 13, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a living guide to LLM tools for R, a version control tutorial for data workers, and tips for creating publication-ready figures with {ggplot2}. Let’s dive in!Large Language Model tools for R The AI space moves fast, and Luis D. Verde Arregoitia has been keeping up with it so you don’t have to. His online book catalogs the ever-growing ecosystem of R packages for working with large language models, covering...
What’s New in R: April 6, 2026
April 6, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a tutorial on bivariate choropleth maps in {tmap}, a new package for adding AI-powered chat to Shiny apps, and a video guide to switching from RStudio to Positron. Let’s dive in!Bivariate choropleths are go! David O’Sullivan walks through the new bivariate choropleth mapping capabilities added in {tmap} version 4. Bivariate choropleths blend two semi-transparent color schemes to represent two variables...
What’s New in R: March 30, 2026
March 30, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a guide to detecting outliers in R, a tutorial on visualizing Chilean census data as maps, and a walkthrough of generating dynamic alt text for Shiny app plots. Let’s dive in!Outliers in Data Analysis: Detecting Extreme Values Before Modeling in R with İstanbul Airbnb Data M. Fatih Tüzen takes a comprehensive look at how to detect and handle outliers in R, using Istanbul Airbnb listings as a real-world example....
What’s New in R: March 23, 2026
March 23, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a package for AI-assisted qualitative coding, a package for accessing real-time Google Maps traffic data, and a workshop on creating polished branded documents with Quarto. Let’s dive in!{quallmer} Seraphine F. Maerz and Kenneth Benoit introduce {quallmer}, an easy-to-use toolbox for applying AI-assisted qualitative coding to large amounts of texts, images, PDFs, and other data. Built on top of the {ellmer}...
What’s New in R: March 16, 2026
March 16, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a hands-on walkthrough of the new {dplyr} 1.2.0 functions, a tip for placing text annotations directly onto {ggplot2} plots, and a new package for creating publication-ready tables in Typst. Let’s dive in!Trying out dplyr 1.2.0 Crystal Lewis provides a practical, hands-on companion to last week’s {dplyr} 1.2.0 announcement, working through the new functions using real examples from her own data wrangling code. She...
What’s New in R: March 9, 2026
March 9, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a major new release of {dplyr}, a package for turning Shiny apps into AI chat interfaces, and a tutorial on mapping building use with hexagonal grids. Let’s dive in!dplyr 1.2.0 Davis Vaughan announces {dplyr} 1.2.0, a major release with two big sets of new features. First, the new filter_out() function fills a long-standing gap by providing a complement to filter()—it drops rows rather than keeps them, and its NA...