Join 📚 James's Highlights
A batch of the best highlights from what Jimmy's read, .
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
None
goodpractice and lintr both provide you with useful static analyses of your package.
Workflow automation tools for package developers
Maëlle Salmon
One could argue that using pkgdown is a way to improve your R package documentation for very little effort. If you only tweak one thing, please introduce grouping in the reference page.
Workflow automation tools for package developers
Maëlle Salmon
...catch up on these, and many more highlights