Function reference • tidyft

All functions
`arrange()`	Arrange entries in data.frame
`as_fst()`	Save a data.frame as a fst table
`complete()`	Complete a data frame with missing combinations of data
`count()` `add_count()`	Count observations by group
`cummean()`	Cumulative mean
`distinct()`	Select distinct/unique rows in data.table
`drop_na()` `delete_na()`	Drop or delete data by rows or columns
`dummy()`	Fast creation of dummy variables
`fill()` `shift_fill()`	Fill in missing values with previous or next value
`filter()`	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
`group_by()` `group_exe()` `groups()` `ungroup()`	Group by one or more variables
`inner_join()` `left_join()` `right_join()` `full_join()` `anti_join()` `semi_join()`	Join tables
`lead()` `lag()`	Fast lead/lag for vectors
`longer()` `wider()`	Pivot data between long and wide
`mutate()` `transmute()` `mutate_when()` `mutate_vars()`	Create or transform variables
`nest()` `unnest()` `squeeze()` `chop()` `unchop()`	Nest and unnest
`nth()`	Extract the nth value from a vector
`object_size()`	Nice printing of report the Space Allocated for an Object
`pull()`	Pull out a single variable
`read_csv()`	Convenient file reader
`relocate()`	Change column order
`replace_vars()`	Fast value replacement in data frame
`rowwise_mutate()` `rowwise_summarise()`	Computation by rows
`select()` `select_vars()` `select_dt()` `select_mix()` `rename()`	Select/rename variables by name
`separate()`	Separate a character column into two columns using a regular expression separator
`slice()` `slice_head()` `slice_tail()` `slice_max()` `slice_min()` `slice_sample()`	Subset rows using their positions
`summarise()` `summarise_when()` `summarise_vars()`	Summarise columns to single values
`sys_time_print()`	Convenient print of time taken
`mat_df()` `df_mat()`	Conversion between tidy table and named matrix
`uncount()`	"Uncount" a data frame
`unite()`	Unite multiple columns into one by pasting strings together
`utf8_encoding()`	Use UTF-8 for character encoding in a data frame

Reference

All functions

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