group_data()
returns a data frame that defines the grouping structure.
The columns give the values of the grouping variables. The last column,
always called .rows
, is a list of integer vectors that gives the
location of the rows in each group. You can retrieve just the grouping
data with group_keys()
, and just the locations with group_rows()
.
group_indices()
returns an integer vector the same length as .data
that gives the group that each row belongs to (cf. group_rows()
which
returns the rows which each group contains). group_indices()
with no
argument is deprecated, superseded by cur_group_id()
.
group_vars()
gives names of grouping variables as character vector;
groups()
gives the names as a list of symbols.
group_size()
gives the size of each group, and n_groups()
gives the
total number of groups.
See context for equivalent functions that return values for the current group.
group_data(.data) group_keys(.tbl, ...) group_rows(.data) group_indices(.data, ...) group_vars(x) groups(x) group_size(x) n_groups(x)
.data, .tbl, x | A data frame or extension (like a tibble or grouped tibble). |
---|---|
... | Use of |
#> character(0)group_rows(df)#> <list_of<integer>[1]> #> [[1]] #> [1] 1 2 3 4 #>group_data(df)#> # A tibble: 1 x 1 #> .rows #> <list<int>> #> 1 [4]group_indices(df)#> [1] 1 1 1 1#> [1] "x"group_rows(gf)#> <list_of<integer>[2]> #> [[1]] #> [1] 1 2 #> #> [[2]] #> [1] 3 4 #>group_data(gf)#> # A tibble: 2 x 2 #> x .rows #> <dbl> <list<int>> #> 1 1 [2] #> 2 2 [2]group_indices(gf)#> [1] 1 1 2 2