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
None
The results of an analysis are shown and discussed in a markup fle that is used to create a PDF document. Researchers often do not explicitly document the relationships between fles that they used in their research. For example, the results of an analysis–a table or fgure–may be copied and pasted into a presentation document. It can be very diÿcult for future researchers to trace the table or fgure back to a particular statistical model and a particular data set without clear documentation. Therefore, it is important to make the links between your fles explicit.
Reproducible Research With R and RStudio
Christopher Gandrud
...catch up on these, and many more highlights
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