Tidy Interface to 'data.table'

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Documentation for package ‘tidytable’ version 0.3.2

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%notin% notin operator
as_dt Coerce an object to a data.table/tidytable
as_tidytable Coerce an object to a data.table/tidytable
dt Pipeable data.table call
dt_anti_join Join two data.tables together
dt_arrange Arrange/reorder rows by variables
dt_bind_cols Bind data.tables by row and column
dt_bind_rows Bind data.tables by row and column
dt_case Case when
dt_contains Select helpers
dt_count Count observations by group
dt_distinct Select distinct/unique rows
dt_drop_na Drop rows containing missing values
dt_ends_with Select helpers
dt_everything Select helpers
dt_fill Fill in missing values with previous or next value
dt_filter Filter rows on one or more conditions
dt_full_join Join two data.tables together
dt_get_dummies Convert character and factor columns to dummy variables
dt_group_nest Nest data.tables
dt_group_split Split data frame by groups
dt_inner_join Join two data.tables together
dt_left_join Join two data.tables together
dt_map Apply a function to each element of a vector
dt_map2 Apply a function to each element of a vector
dt_map2_chr Apply a function to each element of a vector
dt_map2_dbl Apply a function to each element of a vector
dt_map2_df Apply a function to each element of a vector
dt_map2_dfc Apply a function to each element of a vector
dt_map2_dfr Apply a function to each element of a vector
dt_map2_int Apply a function to each element of a vector
dt_map2_lgl Apply a function to each element of a vector
dt_map_chr Apply a function to each element of a vector
dt_map_dbl Apply a function to each element of a vector
dt_map_df Apply a function to each element of a vector
dt_map_dfc Apply a function to each element of a vector
dt_map_dfr Apply a function to each element of a vector
dt_map_int Apply a function to each element of a vector
dt_map_lgl Apply a function to each element of a vector
dt_mutate Mutate
dt_mutate_across Mutate variants
dt_mutate_all Mutate variants
dt_mutate_at Mutate variants
dt_mutate_if Mutate variants
dt_pivot_longer Pivot data from wide to long
dt_pivot_wider Pivot data from long to wide
dt_pull Pull out a single variable
dt_relocate Relocate a column to a new position
dt_rename Rename variables by name
dt_rename_across Rename a selection of variables
dt_rename_all Rename a selection of variables
dt_rename_at Rename a selection of variables
dt_rename_if Rename a selection of variables
dt_replace_na Replace missing values
dt_right_join Join two data.tables together
dt_select Select or drop columns
dt_separate Separate a character column into multiple columns
dt_slice Choose rows by position
dt_slice_head Choose rows by position
dt_slice_max Choose rows by position
dt_slice_min Choose rows by position
dt_slice_tail Choose rows by position
dt_starts_with Select helpers
dt_summarise Aggregate data using summary statistics
dt_summarize Aggregate data using summary statistics
dt_top_n Select top (or bottom) n rows (by value)
dt_unnest_legacy Unnest a nested data.table
dt_walk Apply a function to each element of a vector
inv_gc Run invisible garbage collection
is_tidytable Test if the object is a tidytable
tidytable Build a data.table/tidytable