Operate on a selection of variables

The variants suffixed with _if, _at or _all apply an expression (sometimes several) to all variables within a specified subset. This subset can contain all variables (_all variants), a vars() selection (_at variants), or variables selected with a predicate (_if variants).


A tbl object.


List of function calls generated by funs(), or a character vector of function names, or simply a function.

Bare formulas are passed to rlang::as_function() to create purrr-style lambda functions. Note that these lambda prevent hybrid evaluation from happening and it is thus more efficient to supply functions like mean() directly rather than in a lambda-formula.


A list of columns generated by vars(), or a character vector of column names, or a numeric vector of column positions.


A predicate function to be applied to the columns or a logical vector. The variables for which .predicate is or returns TRUE are selected. This argument is passed to rlang::as_function() and thus supports quosure-style lambda functions and strings representing function names.


Additional arguments for the function calls in .funs. These are evaluated only once, with explicit splicing.


The verbs with scoped variants are:

There are three kinds of scoped variants. They differ in the scope of the variable selection on which operations are applied:

  • Verbs suffixed with _all() apply an operation on all variables.

  • Verbs suffixed with _at() apply an operation on a subset of variables specified with the quoting function vars(). This quoting function accepts select_vars() helpers like starts_with(). Instead of a vars() selection, you can also supply an integerish vector of column positions or a character vector of column names.

  • Verbs suffixed with _if() apply an operation on the subset of variables for which a predicate function returns TRUE. Instead of a predicate function, you can also supply a logical vector.

  • scoped
Documentation reproduced from package dplyr, version 0.7.3, License: MIT + file LICENSE

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