Function reference • tidyfst

All functions
`percent()` `add_prop()`	Add percentage to counts in data.frame
`arrange_dt()`	Arrange entries in data.frame
`as_fst()`	Save a data.frame as a fst table
`col_max()` `col_min()`	Get the column name of the max/min number each row
`complete_dt()`	Complete a data frame with missing combinations of data
`count_dt()` `add_count_dt()`	Count observations by group
`cummean()`	Cumulative mean
`distinct_dt()`	Select distinct/unique rows in data.frame
`in_dt()` `as_dt()`	Short cut to data.table
`dummy_dt()`	Fast creation of dummy variables
`filter_dt()`	Filter entries in data.frame
`parse_fst()` `slice_fst()` `select_fst()` `filter_fst()` `summary_fst()`	Parse,inspect and extract data.table from fst file
`export_fst()` `import_fst()`	Read and write fst files
`%notin%`	Not in operator
`group_by_dt()` `group_exe_dt()`	Group by variable(s) and implement operations
`group_dt()` `rowwise_dt()`	Data manipulation within groups
`impute_dt()`	Impute missing values with mean, median or mode
`inner_join_dt()` `left_join_dt()` `right_join_dt()` `full_join_dt()` `anti_join_dt()` `semi_join_dt()`	Join tables
`lead_dt()` `lag_dt()`	Fast lead/lag for vectors
`longer_dt()`	Pivot data from wide to long
`drop_na_dt()` `replace_na_dt()` `delete_na_cols()` `delete_na_rows()` `fill_na_dt()` `shift_fill()`	Dump, replace and fill missing values in data.frame
`mutate_dt()` `transmute_dt()`	Mutate columns in data.frame
`mutate_when()` `mutate_vars()`	Conditional update of columns in data.table
`nest_dt()` `unnest_dt()` `squeeze_dt()` `chop_dt()` `unchop_dt()`	Nest and unnest
`nth()` `maxth()` `minth()`	Extract the nth value from a vector
`object_size()`	Nice printing of report the Space Allocated for an Object
`pairwise_count_dt()`	Count pairs of items within a group
`pkg_load()` `pkg_unload()`	Load or unload R package(s)
`print_options()`	Set global printing method for data.table
`pull_dt()`	Pull out a single variable
`rec_num()` `rec_char()`	Recode number or strings
`relocate_dt()`	Change column order
`rename_dt()` `rename_with_dt()`	Rename column in data.frame
`replace_dt()`	Fast value replacement in data frame
`rn_col()` `col_rn()`	Tools for working with row names
`sample_dt()` `sample_n_dt()` `sample_frac_dt()`	Sample rows randomly from a table
`select_dt()` `select_mix()`	Select column from data.frame
`separate_dt()`	Separate a character column into two columns using a regular expression separator
`intersect_dt()` `union_dt()` `setdiff_dt()` `setequal_dt()`	Set operations for data frames
`slice_dt()` `slice_head_dt()` `slice_tail_dt()` `slice_max_dt()` `slice_min_dt()` `slice_sample_dt()`	Subset rows using their positions
`sql_join_dt()`	Case insensitive table joining like SQL
`summarise_dt()` `summarize_dt()` `summarise_when()` `summarize_when()` `summarise_vars()` `summarize_vars()`	Summarise columns to single values
`sys_time_print()` `pst()`	Convenient print of time taken
`mat_df()` `df_mat()`	Conversion between tidy table and named matrix
`t_dt()`	Efficient transpose of data.frame
`uncount_dt()`	"Uncount" a data frame
`unite_dt()`	Unite multiple columns into one by pasting strings together
`utf8_encoding()`	Use UTF-8 for character encoding in a data frame
`wider_dt()`	Pivot data from long to wide

Reference

All functions