Resources

A timeline of R's first 30 years

This content celebrates the 30th anniversary of the R language with a timeline highlighting significant milestones, packages, and papers. Developed by Tim Brock, Colin Gillespie, and the Jumping Rivers Team, it showcases R's evolution and invites contributions through social media. The standalone timeline is inspired by a figure in a publication on R's role in bioinformatics and data science. Jumping Rivers offers related training and a newsletter.

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Code review for statisticians, data scientists & modellers – Jack Kennedy

This content provides guidance on code review practices suitable for data scientists, statisticians, and modelers, particularly those who are not primarily software developers but write code for statistical models, data-driven products, and data engineering. It covers the principles of code review, the process of annotating and commenting on code via pull requests on GitHub, and the importance of offering constructive feedback. The author aims to communicate effective code review practices to analytical professionals, with a bias towards the R language and GitHub, while asserting that the underlying concepts are pertinent regardless of specific tools used.

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