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These are straightforward wrappers around [[
. The main
advantage is that you can provide an optional secondary vector that defines
the ordering, and provide a default value to use when the input is shorter
than expected.
nth(x, n, order_by = NULL, default = default_missing(x))first(x, order_by = NULL, default = default_missing(x))
last(x, order_by = NULL, default = default_missing(x))
A vector
For nth_value()
, a single integer specifying the position.
Negative integers index from the end (i.e. -1L
will return the
last value in the vector).
If a double is supplied, it will be silently truncated.
An optional vector used to determine the order
A default value to use if the position does not exist in
the input. This is guessed by default for base vectors, where a
missing value of the appropriate type is returned, and for lists, where
a NULL
is return.
For more complicated objects, you'll need to supply this value.
Make sure it is the same type as x
.
A single value. [[
is used to do the subsetting.
# NOT RUN {
x <- 1:10
y <- 10:1
first(x)
last(y)
nth(x, 1)
nth(x, 5)
nth(x, -2)
nth(x, 11)
last(x)
# Second argument provides optional ordering
last(x, y)
# These functions always return a single value
first(integer())
# }
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