Further resources

R package development

R Packages book by Hadley Wickham and Jenny Bryan.
RStudio Package Development Cheatsheet.
Shannon Pileggi’s “Your first R package in 1 hour”.
Jim Hester’s talk “You can make a package in 20 minutes”.
Forwards workshops on package development – notes taken by Stefanie Butland.
rOpenSci dev guide.
Tidyverse design guide.
R-hub blog e.g. Checking the inputs of your R functions & Coding style, coding etiquette.
Tidyverse style guide.
Testthat third edition: webinar, blog post.
Writing R Extensions (one piece at a time).
Advanced R by Hadley Wickham.
My own blog post with many links to fantastic resources: “How to develop good R packages”.

Continuous integration in particular

A Beginner’s Guide to Travis-CI for R by Julia Silge (for learning about continuous integration; Travis itself is no longer recommended).
GitHub Actions for R by Jim Hester.

CRAN submissions

You CRAN Do It by Isabella Velásquez (including a link to other resources at the end).

From scripts to package

prefixer package, “Prefix function with their namespace”.
sinew package.

Things we saw in my .Rprofile

Testing out

options(
error = rlang::entrace,
rlang_backtrace_on_error = "branch")

in my .Rprofile on @JennyBryan's advice. It gives trimmed tracebacks when using pipes.

Is there an equivalent way to do options(error=recover) but with rlang's trimmed call stack? #rstats pic.twitter.com/8RGs4PlGWk
— Noam Ross (@noamross) December 4, 2019