zachary-waller

zachary-waller / recursive_split

Last active November 1, 2020 01:36

Recursive Split: Split a dataframe into a nested list and reassemble back into a dataframe

	library(purrr)
	library(rrapply)

	# Split a data frame into a nested list using a different column for each level.
	# This uses rrapply::rrapply() to avoid having to do any nested loops (map, lapply,
	# for loop, whatever).

	# Nested lists can be useful for avoiding searching through your data: the data
	# has already been indexed in the list. This can be pretty handy for saving time
	# if you need to do lots of filtering stuff.