Field Guide to Writing Your First R Package
summary
A biologist’s approach turns private analysis scripts into shareable R packages using usethis and devtools, GitHub for hosting, and testthat for tests; the workflow centers on a simple map of components (R code, documentation, DESCRIPTION, NAMESPACE, tests) and iterative commands document() and load_all() to change one thing at a time. Practical tactics include poking existing GitHub repos, using science poke investigations, running iterative change-one-thing experiments, and seeking out bugs; packages get built successfully and released via soft messaging and Mastodon.
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