Divides .data into a named list of dataframes defined by the grouping
structure. Grouping variables can optionally be passed to .... A nested
list will be returned if there is more than one grouping variable and
.nested = TRUE.
Usage
group_split_named(
.data,
...,
.keep = TRUE,
.sep = ".",
.col_names = FALSE,
.col_sep = "_",
.nested = FALSE,
.na.rm = FALSE,
.add_groups = TRUE
)Examples
by_cyl_gear1 <- mtcars %>%
group_split_named(cyl, gear, .col_names = TRUE)
by_cyl_gear1$cyl_6.gear_4
#> # A tibble: 4 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> 4 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
by_cyl_gear2 <- mtcars %>%
group_split_named(cyl, gear, .col_names = TRUE, .nested = TRUE)
by_cyl_gear2$cyl_6
#> $gear_3
#> # A tibble: 2 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 2 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#>
#> $gear_4
#> # A tibble: 4 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> 4 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
#>
#> $gear_5
#> # A tibble: 1 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#>
by_cyl_gear2$cyl_6$gear_4
#> # A tibble: 4 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4
#> 3 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> 4 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4