Apply a function (or functions) across multiple columns
Flexible equality comparison for data frames
Helper for consistent documentation of '.by'
Arrange rows by a selection of variables
Copy tables to same source, if necessary
Detect where values fall in a specified range
Generate a unique identifier for consecutive combinations
Information about the "current" group or variable
Cumulative versions of any, all, and mean
Defunct functions for working with multiple columns
Select distinct rows by a selection of variables
Extending dplyr with new data frame subclasses
Keep or drop rows that match a condition
Default value for .drop argument of group_by
Prepare for grouping and other operations
Nest a tibble using a grouping specification
Flag a character vector as SQL identifiers
Low-level construction and validation for the grouped_df and rowwise_df classes
Extract the first, last, or nth value from a vector
A helper function for ordering window function output
Transform each group to an arbitrary number of rows
Figure out if two sources are the same (or two tbl have the same source)
Keep or drop 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