What's New in R
A weekly roundup of new resources in the world of R.
What’s New in R: October 27, 2025
October 27, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a package for creating synthetic data to protect privacy when using AI, a comprehensive guide to {ggplot2} theme customization, and a practical example of data wrangling and mapping. Let’s dive in!{FakeDataR} The {FakeDataR} package, developed by Zobaer Ahmed, addresses a critical privacy concern when working with AI tools: how to get help without exposing sensitive data. This package creates synthetic copies of...
What’s New in R: October 20, 2025
October 20, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a comprehensive book on creating beautiful Quarto slides, a practical analysis of car ownership data, and a tutorial on cleaning messy data with fuzzy matching. Let’s dive in!Slidecrafting Emil Hvitfeldt’s comprehensive book on creating beautiful slides with reveal.js in Quarto offers a wealth of techniques to help your presentations stand out from the default Quarto templates. The book covers everything from...
What’s New in R: October 13, 2025
October 13, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a guide to removing or hiding legends in {ggplot2}, Posit’s AI newsletter update, and a tutorial on creating time-aware isochrones for accessibility mapping. Let’s dive in!Remove or Hide Legends in ggplot2 – Theme, Guides, Scales This practical tutorial demonstrates how to remove or hide legends in {ggplot2} plots, covering both complete legend removal and selective legend management for plots with multiple...
What’s New in R: October 6, 2025
October 6, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring the major ggplot2 4.0.0 release, a package for accessing professional volleyball data, and a tutorial on data validation techniques. Let’s dive in!ggplot2 4.0.0 The highly anticipated {ggplot2} 4.0.0 has been released with significant changes under the hood. This major version update includes a ton of internal improvements and modernizations that should make {ggplot2} faster and more consistent. While many of the...
What’s New in R: September 29, 2025
September 29, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a migration guide from RStudio to Positron, a tutorial on using R for data exploration and story development, and a package for accessing South Korean datasets. Let’s dive in!Migrating from RStudio to Positron With Positron now out of beta and publicly available, many R users are considering making the switch from RStudio. This comprehensive migration guide from Posit walks through the key differences between the...
What’s New in R: September 22, 2025
September 22, 2025
Welcome to this week’s edition of What’s New in R! This week, we’ve got three videos featuring a tutorial on extracting data from PDFs using AI, a recreation of a New York Times chart, and an overview of the new Positron IDE. Let’s dive in!How to Turn Messy PDFs into Clean Data Frames with R and Elmer Albert Rapp demonstrates how to use the {ellmer} package to leverage AI models for extracting data from messy PDF files. If you’ve ever struggled with getting clean data out of PDFs, you know...
What’s New in R: September 15, 2025
September 15, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a comprehensive guide to working with colors in R, a keynote on using AI to augment data workflows, and a package for creating diagrams with ggplot2. Let’s dive in!Working with colours in R Nicola Rennie provides a comprehensive guide to working with colors in R, covering everything from basic color specification methods like hex values and RGB to more advanced topics. The post explores various approaches to...
What’s New in R: September 8, 2025
September 8, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a package for creating messy teaching datasets, a tool for integrating SAS with R, and an AI assistant for exploratory data analysis. Let’s dive in!Creating Messy Datasets for Teaching Purposes with {truffle} The {truffle} package, developed by Ian Hussey, addresses a common challenge for R instructors: creating realistic messy datasets for teaching. This package generates realistic datasets with predetermined...
What’s New in R: September 2, 2025
September 2, 2025
Welcome to this week’s edition of What’s New in R! This week, we’re featuring a practical guide to the {fs} package for file management, a reusable Quarto template from the USGS Water Data team, and a tutorial on using R to explore data related to long COVID. Let’s dive in!File Management With The {fs} Package Albert Rapp shows how the {fs} package streamlines file and folder operations in R. He covers common tasks like creating directories, listing and filtering paths, copying/moving...