Grouping data

Grouping data

group_rows(.data)

group_data(.data)

Arguments

.data	a tibble

Value

group_data() return a tibble with one row per group. The last column, always called .rows is a list of integer vectors indicating the rows for each group. If .data is a grouped data frame the first columns are the grouping variables. group_rows() just returns the list of indices.

See also

Other grouping functions: group_by_all, group_by, group_indices, group_keys, group_map, group_nest, group_size, group_trim, groups

Examples

df <- tibble(x = c(1,1,2,2))

# one row
group_data(df)
#> # A tibble: 1 x 1
#>   .rows    
#>   <list>   
#> 1 <int [4]>
group_rows(df)
#> [[1]]
#> [1] 1 2 3 4
#> 

# 2 rows, one for each group
group_by(df,x) %>% group_data()
#> # A tibble: 2 x 2
#>       x .rows    
#>   <dbl> <list>   
#> 1     1 <int [2]>
#> 2     2 <int [2]>
group_by(df,x) %>% group_rows()
#> [[1]]
#> [1] 1 2
#> 
#> [[2]]
#> [1] 3 4
#>