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Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In October last year, I was part of a webinar to talk about “ManagingLarge Codebases in R” with Alex Bertram ofActivityInfo. It is a bit late to writea blog post about this, I know, but I realized I never created one tospread the word around a lot more even though I did refer to it onsocial media… so here you go:

  • Managing Large Codebases in R (October 7,2022)

In summary, we discussed:

  • Adopting a coding style for your team ({lintr}, {styler}, styleguides, etc.)
  • Organizing code into R functions (DRY principles, etc.)
  • Organizing functions into R packages ({usethis}, {devtools}, etc.)
  • Documenting and testing code ({roxygen2}, {sinew}, {codecov},{testthat}, {pkgdown}, etc.)
  • Using version control: git/GitHub (GitHub issue templates,branching, Pull-Request checklist, etc.)
  • Practical examples from the field (some of the work I’ve been doingat ACDI/VOCA)

You can see my slideshere, while Alex’sslides arehere.For each section I also included a lot of links to other material thatI’ve referred to/used over the years so hopefully it’s helpful!

Example:

Unfortunately, due to time constraints we couldn’t talk in more detailabout git/GitHub as much as we would’ve liked but it does open us up toanother potential workshop in the future. You can still read more aboutwhat I wanted to talk about in my presentations notes along with contentfrom my previous blog posts regarding how I approach (open-source)collaboration work:

  • Developer diary for {ggshakeR} 0.1.2 (a package for socceranalytics viz): Implementing Github Actions CI tools (codecov,lintr, etc.) into theworkflow!(March 23, 2022)
  • Developer diary for {ggshakeR} 0.2.0 (a package for socceranalytics viz): Working smoothly as a team on GitHub for R packagedevelopment!(July 22, 2022)

As you may have noticed from my blog/Twitter, I’ve really went off thedeep end in terms of doing soccer related analysis in the past year…not even data analysis with soccer data but just purely tacticalstuff. I feel like I need to course-correct a little bit so in 2023I’m hoping to have more R // data science related content on Twitterand/or my blog as well. To be honest, like this blog post, there are afew other R related things that I didn’t post last year due to my focuson soccer analysis and then the World Cup happened, so be on the lookout for all that soon.

Thanks for reading, hope it’s useful to you, and don’t hesitate tocontact me if you have comments/questions!

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