add_group_id            Add a column of useful IDs (group IDs, row IDs
                        & consecutive IDs)
desc                    Helpers to sort variables in ascending or
                        descending order
f_arrange               A 'collapse' version of 'dplyr::arrange()'
f_bind                  Bind data frame rows and columns
f_count                 A fast replacement to dplyr::count()
f_distinct              Find distinct rows
f_duplicates            Find duplicate rows
f_expand                Fast versions of 'tidyr::expand()' and
                        'tidyr::complete()'.
f_fill                  Fill 'NA' values forwards and backwards
f_filter                Alternative to 'dplyr::filter()'
f_group_by              'collapse' version of 'dplyr::group_by()'
f_group_split           Alternative to 'dplyr::group_split'
f_left_join             Fast SQL joins
f_mutate                A faster 'mutate()' with per-group
                        optimisations
f_nest_by               Create a subset of data for each group
f_reframe               A faster 'reframe()' with per-group
                        optimisations
f_rowwise               A convenience function to group by every row
f_select                Fast 'dplyr' 'select()'/'rename()'/'pull()'
f_slice                 Faster 'dplyr::slice()'
f_summarise             Summarise each group down to one row
f_ungroup               Un-group 'grouped_df'
fastplyr_options        Setting global fastplyr options
get_group_unaware_fns   Get list of current group-unaware functions
group_by_order_default
                        Default value for ordering of groups
group_data              Fast group metadata
group_id                Fast group and row IDs
list_tidy               Alternative to 'rlang::list2'
new_tbl                 Fast 'tibble' alternatives
remove_rows_if_any_na   Fast remove rows with 'NA' values
tidy_quantiles          Fast grouped sample quantiles
