apply_fn_via_hash_table extracts the unique input
values, applies the given function to it to create a hash table
(containing unique input/output combinations), and then matches the
original input to the hash table to obtain the desired output. This can
dramatically speed up computation if there is a lot of data and a
limited amount of unique values.
Version 2022.6.20
Submitted to CRAN
Added additional documentation.
Version 2022.6.8
Submitted to CRAN
all_list_elements_null_or_df renamed to
is_all_list_elements_null_or_df
all_list_elements_null_or_list renamed to
is_all_list_elements_null_or_list
all_list_elements_null_or_fully_named_list renamed to
is_all_list_elements_null_or_fully_named_list
split_equal renamed to easy_split
Version 2022.4.28
split_equal (Split a vector into a list with equal sized
elements)
is_fully_named_list (Is this a fully named list?)
all_list_elements_null_or_df (Are all elements in a list null or
data.frames?)
all_list_elements_null_or_list (Are all elements in a list null or
lists?)
all_list_elements_null_or_fully_named_list (Are all elements in a
list null or fully named lists?)
unnest_dfs_within_fully_named_list (Unnest data.frames within fully
named list)