select_all {dplyr} | R Documentation |
These scoped variants of select()
and rename()
operate on a
selection of variables. The semantics of these verbs have subtle
but important differences:
Selection drops variables that are not in the selection while renaming retains them.
The renaming function is optional for selection but not for renaming.
The _if
and _at
variants always retain grouping variables for grouped
data frames.
select_all(.tbl, .funs = list(), ...) rename_all(.tbl, .funs = list(), ...) select_if(.tbl, .predicate, .funs = list(), ...) rename_if(.tbl, .predicate, .funs = list(), ...) select_at(.tbl, .vars, .funs = list(), ...) rename_at(.tbl, .vars, .funs = list(), ...)
.tbl |
A |
.funs |
A single expression quoted with |
... |
Additional arguments for the function calls in
|
.predicate |
A predicate function to be applied to the columns
or a logical vector. The variables for which |
.vars |
A list of columns generated by |
# Supply a renaming function: select_all(mtcars, toupper) select_all(mtcars, "toupper") select_all(mtcars, funs(toupper(.))) # Selection drops unselected variables: is_whole <- function(x) all(floor(x) == x) select_if(mtcars, is_whole, toupper) # But renaming retains them: rename_if(mtcars, is_whole, toupper) # The renaming function is optional for selection: select_if(mtcars, is_whole)