Function reference • tidydt

All functions
`arrange_dt()`	Arrange entries in data.frame
`coalesce()`	Return first non-missing element
`count_dt()` `add_count_dt()`	Count observations by group
`distinct_dt()`	Select distinct/unique rows in data.frame
`dt_count()` `dt_add_count()` `dt_top_n()`	Additional useful functions
`dt_left_join()` `dt_right_join()` `dt_inner_join()` `dt_full_join()` `dt_semi_join()` `dt_anti_join()`	Join two data.frames by common columns.
`dt_mutate()` `dt_summarize()` `dt_summarize_all()` `dt_summarise()` `dt_summarise_all()` `dt_select()` `dt_filter()` `dt_arrange()`	'dplyr'-like interface for data.table.
`filter_dt()`	Filter entries in data.frame
`parse_fst()` `select_fst()` `filter_fst()`	Parse,inspect and extract `data.table` from `.fst` file
`left_join_dt()` `right_join_dt()` `inner_join_dt()` `full_join_dt()` `anti_join_dt()` `semi_join_dt()`	Count observations by group
`let_if()` `take_if()` `take()` `let()` `sort_by()`	Modify, aggregate, select or filter data.frame/data.table
`wider_dt()` `longer_dt()`	Convert data between wide and long forms
`maditr`	maditr: Pipe-Style Interface for 'data.table'
`drop_na_dt()` `replace_na_dt()`	Dump or replace missing values in data.frame
`mutate_dt()`	Mutate columns in data.frame
`mutate_when()`	Conditional update of columns in data.table
`nest_dt()` `unnest_dt()`	Nest and unnest
`pull_dt()`	Pull out a single variable
`query_if()` `query()`	One-to-one interface for data.table '[' method
`rename_dt()`	Rename column in data.frame
`select_dt()`	Select column from data.frame
`slice_dt()`	Slice rows in data.frame
`summarise_dt()` `summarize_dt()` `summarise_all_dt()` `summarize_all_dt()`	Summarise columns to single values
`top_n_dt()` `top_frac_dt()`	Select top (or bottom) n rows (by value)

Reference

All functions

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