ds.case_when | R Documentation |
DataSHIELD implementation of dplyr::case_when
.
ds.case_when(
tidy_expr = NULL,
.default = NULL,
.ptype = NULL,
.size = NULL,
newobj = NULL,
datasources = NULL
)
tidy_expr |
A list containing a sequence of two-sided formulas:
All inputs will be recycled to their common size. We encourage all LHS inputs to be the same size. Recycling is mainly useful for RHS inputs, where you might supply a size 1 input that will be recycled to the size of the LHS inputs. NULL inputs are ignored. |
.default |
The value used when all of the LHS inputs return either FALSE or NA. |
.ptype |
An optional prototype declaring the desired output type. If supplied, this overrides the common type of true, false, and missing. |
.size |
An optional size declaring the desired output size. If supplied, this overrides the size of condition. |
newobj |
Character specifying name for new server-side data frame. |
datasources |
datashield connections object. |
No return value, called for its side effects. A vector with the same size as the common
size computed from the inputs in tidy_expr
and the same type as the common type of the
RHS inputs in tidy_expr
is created on the server.
## Not run:
## First log in to a DataSHIELD session with mtcars dataset loaded.
ds.case_when(
tidy_expr = list(
mtcars$mpg < 10 ~ "low",
mtcars$mpg >= 10 & mtcars$mpg < 20 ~ "medium",
mtcars$mpg >= 20 ~ "high"
),
newobj = "test",
datasources = conns
)
## Refer to the package vignette for more examples.
## End(Not run)
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