What's New in R
A weekly roundup of new resources in the world of R.
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...
What’s New in R: March 2, 2026
March 2, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a tutorial on visualizing biking data with elevation profiles, a package for simulating live typing in demos, and a guide to creating travel-time matrices for spatial analysis. Let’s dive in!Getting Over It Julian During visualizes his 2020 Transalp bike ride across the Alps using GPS data from Strava. The tutorial demonstrates how to use the {sf} package to work with spatial data, {elevatr} to add elevation...
What’s New in R: February 23, 2026
February 23, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a journal article on spatial data science languages, Posit’s AI newsletter discussing Claude Code and coding agents, and the latest release of {stringr} with new case conversion functions. Let’s dive in!Spatial data science languages: commonalities and needs A distinguished team of spatial data science developers and educators, including Edzer Pebesma and Martin Fleischmann, published a comprehensive analysis...
What’s New in R: February 17, 2026
February 17, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a guide to creating accessible line charts, a data visualization tutorial on GLP-1 drug search trends, and an introduction to using the {rv} package manager in Docker containers. Let’s dive in!How to create a more accessible line chart Nicola Rennie provides a comprehensive guide to making line charts more accessible, demonstrating that accessibility and aesthetics aren’t mutually exclusive. The post walks through...
