Description Usage Arguments Examples
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.
1 2 3 4 5 6 7 8 9 10 11 |
.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 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # 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)
select_at(mtcars, vars(-contains("ar"), starts_with("c")), toupper)
# But renaming retains them:
rename_if(mtcars, is_whole, toupper)
rename_at(mtcars, vars(-(1:3)), toupper)
rename_all(mtcars, toupper)
# The renaming function is optional for selection:
select_if(mtcars, is_whole)
select_at(mtcars, vars(-everything()))
select_all(mtcars)
|
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