What's New in R: February 5, 2024

In the latest issue of What’s New in R, see some more new resources!

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Efficiency and Consistency: Automate Subset Graphics with {ggplot2} and {purrr}

Cédric Scherer is a master of data viz in R. In this article he explains how you can use the {ggplot2} and {purrr} packages to make multiple similar plots at the same time (it’s a technique I’ve used a lot myself).

R for Data Science, Second Edition

The second edition of R for Data Science, written by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund, was released in July 2023. This book, which I refer to as the bible of tidyverse programming, is a great resource for both new and more experienced R programmers. There are several new items, including a section on Quarto.

Tips for debugging and cleaning broken code

Debugging code that isn’t working is both art and science. In this article, Andrew Heiss gives you some great tips to help you figure out why your code isn’t working, including reformatting your code to make it easier to read.

I hope you enjoyed this issue of What’s New in R. Got any ideas for resources I should feature in future issues? Comment below!

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