vec_slice | R Documentation |
This provides a common interface to extracting and modifying observations
for all vector types, regardless of dimensionality. It is an analog to [
that matches vec_size()
instead of length()
.
vec_slice(x, i, ..., error_call = current_env())
vec_slice(x, i) <- value
vec_assign(x, i, value, ..., x_arg = "", value_arg = "")
x |
A vector |
i |
An integer, character or logical vector specifying the
locations or names of the observations to get/set. Specify
|
... |
These dots are for future extensions and must be empty. |
error_call |
The execution environment of a currently
running function, e.g. |
value |
Replacement values. |
x_arg , value_arg |
Argument names for |
A vector of the same type as x
.
Support for S3 objects depends on whether the object implements a
vec_proxy()
method.
When a vec_proxy()
method exists, the proxy is sliced and
vec_restore()
is called on the result.
Otherwise vec_slice()
falls back to the base generic [
.
Note that S3 lists are treated as scalars by default, and will
cause an error if they don't implement a vec_proxy()
method.
vec_slice()
only slices along one dimension. For
two-dimensional types, the first dimension is subsetted.
vec_slice()
preserves attributes by default.
vec_slice<-()
is type-stable and always returns the same type
as the LHS.
vec_proxy()
vec_restore()
base::`[`
If a non-data-frame vector class doesn't have a vec_proxy()
method, the vector is sliced with [
instead.
x <- sample(10)
x
vec_slice(x, 1:3)
# You can assign with the infix variant:
vec_slice(x, 2) <- 100
x
# Or with the regular variant that doesn't modify the original input:
y <- vec_assign(x, 3, 500)
y
x
# Slicing objects of higher dimension:
vec_slice(mtcars, 1:3)
# Type stability --------------------------------------------------
# The assign variant is type stable. It always returns the same
# type as the input.
x <- 1:5
vec_slice(x, 2) <- 20.0
# `x` is still an integer vector because the RHS was cast to the
# type of the LHS:
vec_ptype(x)
# Compare to `[<-`:
x[2] <- 20.0
vec_ptype(x)
# Note that the types must be coercible for the cast to happen.
# For instance, you can cast a double vector of whole numbers to an
# integer vector:
vec_cast(1, integer())
# But not fractional doubles:
try(vec_cast(1.5, integer()))
# For this reason you can't assign fractional values in an integer
# vector:
x <- 1:3
try(vec_slice(x, 2) <- 1.5)
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