: slides; : recording; : materials; : blog post(s).
This tutorial is about Advanced testing of R packages, with HTTP testing as a case study. Unit tests have numerous advantages like preventing future breakage of your package and helping you define features (test-driven development). In many introductions to package development you learn how to set up testthat infrastructure, and how to write a few “cute little tests” with only inline assertions. This might work for a bit but soon you will encounter some practical and theoretical challenges: e.
Tips on why & how to follow R news and how & where to get help with R.
Apprendre R est une excellente idée pour réaliser différentes tâches au travail. Cependant, même une fois passé·e au-delà de “Bonjour Monde”, vous continuerez régulièrement à avoir des problèmes dans R… Triste constat ? Non, car vous apprendrez aussi à devenir un·e utilisateur·rice de R résilient·e !
Dans cette présentation je partagerai des astuces à cet effet : comment suivre les nouveautés de R sans se sentir submergé·e ; et comment et où demander de l’aide efficacement.
Summary from rOpenSci website: rOpenSci puts ongoing effort into exploring and communicating how developers can best attract attention to their package (e.g. usage, citations, or feedback), or how to set up their repository to encourage the types of contributions they want. In this 1-hour community call, Maëlle Salmon, Hugo Gruson, and Steffi LaZerte will share tips and examples on how to do this!
What is the community of a package or project?
“Develop an R package”, they said… What does this even mean? In this session with a live demo, we shall demystify the creation of an R package. R packages are mostly well-organized folders, and there are automatic tools to help. Let’s dive into the wonders of usethis! We shall also see why to create a package (or not). We shall furthermore explain how to improve your R package and your own package development skills.