📍 CorrelCon 2021
R is a great resource for data management, statistics, analysis, and visualization — and it becomes better every day. This is to a large part because of the active community that continuously creates and builds extensions for the R world. Dur- ing the talk, I will provide you with tips and tricks for contributing to this world by writing packages. If you want to get a quick introduction before the talk, here is a hands-on tutorial on how to write your first R package.
You can access the material here:
| Slides | Package example |
|---|
This repository contains:
├── correlcalc
│ ├── DESCRIPTION
│ ├── NAMESPACE
│ ├── R
│ │ └── make_sum.R
│ ├── correlcalc.Rproj
│ └── man
│ └── make_sum.Rd
└── writing_packages.Rproj
- Full working package example (
overviewR) - How to write your own R package and publish it on CRAN (Cosima Meyer and Dennis Hammerschmidt)
- R Packages (Hadley Wickham)
- How to develop good R packages (for open science) (Maëlle Salmon)
- devtools Cheat Sheet
- Writing an R package from scratch (Hilary Parker)
- Your first R package in 1 hour (Shannon Pileggi)
- R package primer (Karl Broman)
- Checklist for R Package (Re-)Submissions on CRAN (Saskia Otto)
- Continuous integration with GitHub Actions (Dean Attali )