EVOLUTION-MANAGER
Edit File: INDEX
across Apply a function (or a set of functions) to a set of columns all_vars Apply predicate to all variables arrange Arrange rows by column values arrange_all Arrange rows by a selection of variables auto_copy Copy tables to same source, if necessary band_members Band membership between Do values in a numeric vector fall in specified range? bind Efficiently bind multiple data frames by row and column case_when A general vectorised if coalesce Find first non-missing element compute Force computation of a database query context Context dependent expressions copy_to Copy a local data frame to a remote src count Count observations by group cumall Cumulativate versions of any, all, and mean desc Descending order distinct Subset distinct/unique rows distinct_all Select distinct rows by a selection of variables explain Explain details of a tbl filter Subset rows using column values filter-joins Filtering joins filter_all Filter within a selection of variables group_by Group by one or more variables group_by_all Group by a selection of variables group_cols Select grouping variables group_map Apply a function to each group group_split Split data frame by groups group_trim Trim grouping structure ident Flag a character vector as SQL identifiers if_else Vectorised if lead-lag Compute lagged or leading values mutate Create, modify, and delete columns mutate-joins Mutating joins mutate_all Mutate multiple columns n_distinct Efficiently count the number of unique values in a set of vector na_if Convert values to NA near Compare two numeric vectors nest_join Nest join nth Extract the first, last or nth value from a vector order_by A helper function for ordering window function output pull Extract a single column ranking Windowed rank functions. recode Recode values relocate Change column order rename Rename columns rows Manipulate individual rows rowwise Group input by rows scoped Operate on a selection of variables select Subset columns using their names and types setops Set operations slice Subset rows using their positions sql SQL escaping. starwars Starwars characters storms Storm tracks data summarise Summarise each group to fewer rows summarise_all Summarise multiple columns tbl Create a table from a data source vars Select variables with_groups Perform an operation with temporary groups