Join 📚 James's Highlights
A batch of the best highlights from what Jimmy's read, .
* covr::package\_coverage\(\) calculates test coverage for your package. Having a good coverage also means R CMD check is more informative, since it means it’s testing your code. 😉 covr::package\_coverage\(\) can also provide you with the code coverage of the vignettes and examples!
Workflow automation tools for package developers
Maëlle Salmon
You can extract tables from this PDF using the aptly-named extract_tables function, like this:
# default call with no parameters changed
matrix_results <- extract_tables(site)
# get back the tables as data frames, keeping their headers
df_results <- extract_tables(site, output = "data.frame", header = TRUE)
Getting Data From PDFs the Easy Way With R - Open Source Automation
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Environment variables, found via Sys.getenv() rather than getOption(), are often used for storing secrets (like GITHUB_PAT for the gh package) or the path to secrets on disk (like TWITTER_PAT for rtweet), or not secrets (e.g. the browser to use for chromote).
Persistent Config and Data for R Packages - R-Hub Blog
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...catch up on these, and many more highlights
Readwise