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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