• 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.

• group_rows() returns the rows which each group contains.

• group_indices() returns an integer vector the same length as .data that gives the group that each row belongs to.

• 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.

• n_groups() gives the total number of groups.

group_data(.data)

group_rows(.data)

group_indices(.data)

group_vars(x)

groups(x)

group_size(x)

n_groups(x)

## Arguments

.data, x A data.frame.

See context for equivalent functions that return values for the current group.

## Examples

df <- data.frame(x = c(1,1,2,2))
group_vars(df)
#> character(0)group_rows(df)
#> [[1]]
#> [1] 1 2 3 4
#> group_data(df)
#>        .rows
#> 1 1, 2, 3, 4
gf <- group_by(df, x)
group_vars(gf)
#> [1] "x"group_rows(gf)
#> [[1]]
#> [1] 1 2
#>
#> [[2]]
#> [1] 3 4
#> group_data(gf)
#>   x .rows
#> 1 1  1, 2
#> 2 2  3, 4