Apply a function (or a set of functions) to a set of columns
Convert row names to an explicit variable.
Flexible equality comparison for data frames
Arrange rows by a selection of variables
Copy tables to same source, if necessary
Evaluate, compare, benchmark operations of a set of srcs.
Do values in a numeric vector fall in specified range?
Efficiently bind multiple data frames by row and column
Cumulativate versions of any, all, and mean
Select distinct rows by a selection of variables
Extending dplyr with new data frame subclasses
Default value for .drop argument of group_by
Same basic philosophy as group_by_prepare(): lazy_dots comes in, list of data and vars (character vector) comes out.
Nest a tibble using a grouping specification
Flag a character vector as SQL identifiers
Print the location in memory of a data frame
Efficiently count the number of unique values in a set of vector
Low-level construction and validation for the grouped_df class
Extract the first, last or nth value from a vector
A helper function for ordering window function output
Figure out if two sources are the same (or two tbl have the same source)
Subset columns using their names and types
Select and rename a selection of variables
Select top (or bottom) n rows (by value)
Perform an operation with temporary groups
Run a function with one order, translating result back to original order