Chopping
vec_chop()
provides an efficient method to repeatedly slice a vector. It
captures the pattern of map(indices, vec_slice, x = x)
. When no indices
are supplied, it is generally equivalent to as.list()
.
vec_unchop()
combines a list of vectors into a single vector, placing
elements in the output according to the locations specified by indices
.
It is similar to vec_c()
, but gives greater control over how the elements
are combined. When no indices are supplied, it is identical to vec_c()
.
If indices
selects every value in x
exactly once, in any order, then
vec_unchop()
is the inverse of vec_chop()
and the following invariant
holds:
vec_unchop(vec_chop(x, indices), indices) == x
vec_chop(x, indices = NULL) vec_unchop( x, indices = NULL, ptype = NULL, name_spec = NULL, name_repair = c("minimal", "unique", "check_unique", "universal") )
x |
A vector |
indices |
For For |
ptype |
If |
name_spec |
A name specification for combining
inner and outer names. This is relevant for inputs passed with a
name, when these inputs are themselves named, like
See the name specification topic. |
name_repair |
How to repair names, see |
vec_chop()
: A list of size vec_size(indices)
or, if indices == NULL
,
vec_size(x)
.
vec_unchop()
: A vector of type vec_ptype_common(!!!x)
, or ptype
, if
specified. The size is computed as vec_size_common(!!!indices)
unless
the indices are NULL
, in which case the size is vec_size_common(!!!x)
.
vec_chop()
vec_unchop()
vec_chop(1:5) vec_chop(1:5, list(1, 1:2)) vec_chop(mtcars, list(1:3, 4:6)) # If `indices` selects every value in `x` exactly once, # in any order, then `vec_unchop()` inverts `vec_chop()` x <- c("a", "b", "c", "d") indices <- list(2, c(3, 1), 4) vec_chop(x, indices) vec_unchop(vec_chop(x, indices), indices) # When unchopping, size 1 elements of `x` are recycled # to the size of the corresponding index vec_unchop(list(1, 2:3), list(c(1, 3, 5), c(2, 4))) # Names are retained, and outer names can be combined with inner # names through the use of a `name_spec` lst <- list(x = c(a = 1, b = 2), y = 1) vec_unchop(lst, list(c(3, 2), c(1, 4)), name_spec = "{outer}_{inner}") # An alternative implementation of `ave()` can be constructed using # `vec_chop()` and `vec_unchop()` in combination with `vec_group_loc()` ave2 <- function(.x, .by, .f, ...) { indices <- vec_group_loc(.by)$loc chopped <- vec_chop(.x, indices) out <- lapply(chopped, .f, ...) vec_unchop(out, indices) } breaks <- warpbreaks$breaks wool <- warpbreaks$wool ave2(breaks, wool, mean) identical( ave2(breaks, wool, mean), ave(breaks, wool, FUN = mean) )
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