vec_group_id()returns an identifier for the group that each element ofxfalls in, constructed in the order that they appear. The number of groups is also returned as an attribute,n.vec_group_loc()returns a data frame containing akeycolumn with the unique groups, and aloccolumn with the locations of each group inx.vec_group_rle()locates groups inxand returns them run length encoded in the order that they appear. The return value is a rcrd object with fields for thegroupidentifiers and the runlengthof the corresponding group. The number of groups is also returned as an attribute,n.
Value
vec_group_id(): An integer vector with the same size asx.vec_group_loc(): A two column data frame with size equal tovec_size(vec_unique(x)).A
keycolumn of typevec_ptype(x)A
loccolumn of type list, with elements of type integer.
vec_group_rle(): Avctrs_group_rlercrd object with two integer vector fields:groupandlength.
Note that when using vec_group_loc() for complex types, the default
data.frame print method will be suboptimal, and you will want to coerce
into a tibble to better understand the output.
Examples
purrr <- c("p", "u", "r", "r", "r")
vec_group_id(purrr)
#> [1] 1 2 3 3 3
#> attr(,"n")
#> [1] 3
vec_group_rle(purrr)
#> <vctrs_group_rle[3][n = 3]>
#> [1] 1x1 2x1 3x3
groups <- mtcars[c("vs", "am")]
vec_group_id(groups)
#> [1] 1 1 2 3 4 3 4 3 3 3 3 4 4 4 4 4 4 2 2 2 3 4 4 4 4 2 1 2 1 1 1 2
#> attr(,"n")
#> [1] 4
group_rle <- vec_group_rle(groups)
group_rle
#> <vctrs_group_rle[16][n = 4]>
#> [1] 1x2 2x1 3x1 4x1 3x1 4x1 3x4 4x6 2x3 3x1 4x4 2x1 1x1 2x1 1x3 2x1
# Access fields with `field()`
field(group_rle, "group")
#> [1] 1 2 3 4 3 4 3 4 2 3 4 2 1 2 1 2
field(group_rle, "length")
#> [1] 2 1 1 1 1 1 4 6 3 1 4 1 1 1 3 1
# `vec_group_id()` is equivalent to
vec_match(groups, vec_unique(groups))
#> [1] 1 1 2 3 4 3 4 3 3 3 3 4 4 4 4 4 4 2 2 2 3 4 4 4 4 2 1 2 1 1 1 2
vec_group_loc(mtcars$vs)
#> key loc
#> 1 0 1, 2, 5, 7, 12, 13, 14, 15, 16, 17, 22, 23, 24, 25, 27, 29, 30, 31
#> 2 1 3, 4, 6, 8, 9, 10, 11, 18, 19, 20, 21, 26, 28, 32
vec_group_loc(mtcars[c("vs", "am")])
#> key.vs key.am loc
#> 1 0 1 1, 2, 27, 29, 30, 31
#> 2 1 1 3, 18, 19, 20, 26, 28, 32
#> 3 1 0 4, 6, 8, 9, 10, 11, 21
#> 4 0 0 5, 7, 12, 13, 14, 15, 16, 17, 22, 23, 24, 25
if (require("tibble")) {
as_tibble(vec_group_loc(mtcars[c("vs", "am")]))
}
#> # A tibble: 4 × 2
#> key$vs $am loc
#> <dbl> <dbl> <list>
#> 1 0 1 <int [6]>
#> 2 1 1 <int [7]>
#> 3 1 0 <int [7]>
#> 4 0 0 <int [12]>
