The tidyverse has made package development a lot easier. In the past,
there was a lot of work with using tools like package.skeleton, the
pseudo-latex for documentation of each R function, and so on. This made
it hard to create high quality R packages. There was a lot of manual
work to make sure that things were documented properly. That has now
been made easier thanks to devtools, and roxygen2. More people can
now quite easily write a high quality package.
We are still in the past a bit with the current state of data sharing
tools. There is the same opportunity here with data tooling as there was
with package development tools like devtools. The aim of
datadevtools is to automate checks for your data, and make it easy to
do things like:
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