unnest_select_data: unnest parts of a data frame without loosing the rest

In KopfLab/isoprocessor: IRMS data processor

Description

note that this will lead to row duplication if the unnested variables have multiple entries per row of the dt data frame also note that this will remove rows that have NULL in the nested_data column

Usage

unnest_select_data(
  dt,
  select = everything(),
  nested_data = nested_data,
  keep_remaining_nested_data = TRUE,
  keep_other_list_data = TRUE,
  keep_only_unique = TRUE
)

Arguments

select	which columns to unnest - use c(...) to select multiple, supports all select syntax including renaming columns. Includes all columns by default (i.e. unnests an entire nested data frame).
nested_data	which column to unnest the select from
keep_remaining_nested_data	whether to keep any remaining parts of the partially unnested data (irrelevant if select = everything())
keep_other_list_data	keep other list data columns (e.g. other data or model columns)

KopfLab/isoprocessor documentation built on Nov. 6, 2021, 10:18 p.m.