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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
the gert package can find and return Git’s preferences via gert::git_config_global()
Persistent Config and Data for R Packages - R-Hub Blog
None
CRAN has a submission checklist, and you could either roll your own or rely on usethis::use_release_issue() creating a GitHub issue with important items. If you don’t develop your package on GitHub you could still have a look at the items for inspiration. The devtools::release() function will ask you whether you ran a spell check.
Workflow automation tools for package developers
Maëlle Salmon
...catch up on these, and many more highlights
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