How to improve your R package

Automatically ✨, and not 🧠

Workflow automation tools

🤖

Assessing your package

• R CMD check or devtools::check(), BiocCheck

• goodpractice and lintr (possibly via CodeFactor).

• covr::package_coverage()

• devtools::spell_check()

Improve metrics by hand?!

Yes and no!

Tools for improving

• styler. Better paired with version control.

• roxygen2 NAMESPACE generation. Switching: Rd2roxygen.

• pkgdown. Work on reference index & navbar!

• usethis e.g. usethis::use_test().

When and where to use the tools?

Right after my talk (not now 😜), but then?

Continuous integration

Run something every time you make a change

“The idea behind continuous integration is that CI will automatically run R CMD check (along with your tests, etc.) every time you push a commit to GitHub. You don’t have to remember to do this; CI automatically checks the code after every commit.” Julia Silge

Travis, GitHub Actions, Circle CI, tic package…

Continuous integration

How to learn?

Julia Silge’s post - Jim Hester’s GitHub Actions talk - usethis helpers

LIFE HACK: My go-to strategy for getting Travis builds to work is snooping on *other* people's .travis.yml files. Shoutout today to the tidyr .travis.yml for solving my problem! #rstats 🙌

— Julia Silge (@juliasilge) December 12, 2019

More with continuous integration

Couple a thing (R CMD check? pkgdown site building?) to

… each commit,

… every Monday,

… applying a label to a pull request?

Pre-commit

Pre-commit

precommit R package – Python precommit framework

• Setup hooks

• Hooks for styling, parsable R code, spell checks, etc.

Check things before show time

CRAN release! 🐉 Checks on different platforms, URLs, spell checks…

• submission checklist

• usethis::use_release_issue() creating a GitHub issue with important items.

• devtools::release() function

Improve workflow vs. procrastinate

Risk of spending too much time on meta-work.

As a beginner, easier to create good habits. 😉

Reading code & about code

Why read source code

• You want to know what is going on.

• You want to build on the function/package for your own goals.

• You’re just curious.

• You need examples of a thing in the wild.

How to read source code

• lookup package

• GitHub search

• Mirrors of CRAN packages and R-source, on GitHub.

Reading code…

And trying things out!

Fork, clone, and explore!

Podcast episode “Learning a new codebase”, with Patricia Aas

Read blogs and fora

Blog posts: digested information.

• R-hub blog, rOpenSci blog and tech notes

• tidyverse blog

• R Weekly

• Your blog?

Read blogs and fora

Fora: Help and learn.

R-package-devel, RStudio community “package development” category, rOpenSci forum.

💡 Manage your subscriptions & involvement wisely!

rOpenSci Software Peer Review

Transparent, constructive, non adversarial and open review process for packages in scope.

Interesting for authors, and reviewers!

Online book of best practice for the reviews and package development.

rOpenSci Software Peer Review

🚀 Even more review and best practice on the way! rOpenSci Statistical Software Peer Review

Other venues

See also JOSS, R Journal, JSS.

Questions?

Write them in the Zoom chat, or as a comment in the course website, or as an issue in the course repository.

Time for a break! 🍵