F1, F2, and F3 distributions from Heald and Nusbaum (2015, PLoS).hVd F1 and F2 from the Nationwide Speech Project.I’ve also compiled a few packages based on donated data to streamline my own workflow, some of which the originators of the data have generously agreed to release publicly:
If you want a sense of how this might work IRL, the example is based on this data package, which I’ve used for a couple of papers/presentations: The Github repository includes the Rmd source, and an example of how I’ve refactored an analysis along these lines, starting from an RMarkdown + CSV and ending up with an RMarkdown + a package. Or install with devtools::install() and then library().Load package with devtools::load_all() to access data.Put data preprocessing script into data-raw/, which reads in raw data and at calls devtools::use_data() to save.devtools::use_data_raw() and move raw data into data-raw/.devtools::create() the package skeleton.There are lots of good reasons why you should (reproducibility, convenience, sharing, documenting). Devtools makes it surprisingly easy to make a data package.
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