Function reference • tidydt

All functions
`arrange_dt()`	Arrange entries in data.frame
`count_dt()` `add_count_dt()`	Count observations by group
`distinct_dt()`	Select distinct/unique rows in data.frame
`filter_dt()`	Filter entries in data.frame
`parse_fst()` `slice_fst()` `select_fst()` `filter_fst()`	Parse,inspect and extract data.table from fst file
`export_fst()` `import_fst()`	Read and write fst files
`group_dt()`	Data manipulation within groups
`left_join_dt()` `right_join_dt()` `inner_join_dt()` `full_join_dt()` `anti_join_dt()` `semi_join_dt()`	Join table by common keys
`lead_dt()` `lag_dt()`	Fast lead/lag for vectors
`longer_dt()`	Pivot data from wide to long
`drop_na_dt()` `replace_na_dt()`	Dump or replace missing values in data.frame
`mutate_dt()` `transmute_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
`rename_dt()`	Rename column in data.frame
`sample_n_dt()` `sample_frac_dt()`	Sample n rows from a table
`select_dt()`	Select column from data.frame
`slice_dt()`	Slice rows in data.frame
`summarise_dt()` `summarize_dt()`	Summarise columns to single values
`top_n_dt()` `top_frac_dt()`	Select top (or bottom) n rows (by value)
`wider_dt()`	Pivot data from long to wide

Reference