What's New in R
A weekly roundup of new resources in the world of R.
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...
What’s New in R: February 9, 2026
February 9, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a tutorial on adding directional markers to {leaflet} maps, a deep dive into visualizing microclimate data in Los Angeles, and a tip for enhancing Claude Code’s knowledge of your installed R packages. Let’s dive in!Directional markers in R/leaflet Neil Saunders demonstrates how to add directional markers to {leaflet} maps, specifically showing which direction a photographer was facing when taking geotagged photos....
What’s New in R: February 2, 2026
February 2, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a creative approach to chart styling using ImageMagick, a tutorial on recreating Datawrapper visualizations with {ggplot2}, and a package for creating on-brand Word and PowerPoint documents. Let’s dive in!Creating Embroidered Charts with R and ImageMagick Aman Bhargava demonstrates how to create charts that look like they’ve been embroidered onto cloth by combining {ggplot2} with ImageMagick filters. Using the...
What’s New in R: January 26, 2026
January 26, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a geospatial analysis of Barcelona’s nightlife scene, a demonstration of AI-assisted data exploration in Positron, and a comprehensive guide to data visualization best practices. Let’s dive in!Nightlife of Barcelona Neighborhoods Jose M Sallan conducts a neighborhood-level analysis of Barcelona’s nightlife using geospatial data and the {sf} package. The post demonstrates how to work with spatial data, including...
What’s New in R: January 20, 2026
January 20, 2026
Welcome to this week’s edition of What’s New in R! This week, we’re featuring an AI-assisted dashboard development workflow, a tutorial on burst reporting with Quarto and Typst, and a guide to creating custom GPS route maps. Let’s dive in!Building a Clinical Dashboard Prototype in 2 Days: An AI-Assisted Development Workflow Dario Radečić from Appsilon demonstrates how AI tools can dramatically accelerate dashboard prototyping, turning what typically takes 4-6 weeks into a 48-hour sprint....