Perform a named group split.
named_group_split.RdSplits a dataframe into a list, with each list object named based on the value of the grouping variable.
Examples
mtcars |> named_group_split(cyl)
#> <list_of<
#> tbl_df<
#> mpg : double
#> cyl : double
#> disp: double
#> hp : double
#> drat: double
#> wt : double
#> qsec: double
#> vs : double
#> am : double
#> gear: double
#> carb: double
#> >
#> >[3]>
#> $`4`
#> # A tibble: 11 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 2 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 3 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 4 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
#> 5 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
#> 6 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
#> 7 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1
#> 8 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1
#> 9 26 4 120. 91 4.43 2.14 16.7 0 1 5 2
#> 10 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2
#> 11 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2
#>
#> $`6`
#> # A tibble: 7 × 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 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
#> 4 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 5 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> 6 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
#> 7 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#>
#> $`8`
#> # A tibble: 14 × 11
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 2 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 3 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
#> 4 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
#> 5 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
#> 6 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
#> 7 10.4 8 460 215 3 5.42 17.8 0 0 3 4
#> 8 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
#> 9 15.5 8 318 150 2.76 3.52 16.9 0 0 3 2
#> 10 15.2 8 304 150 3.15 3.44 17.3 0 0 3 2
#> 11 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4
#> 12 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2
#> 13 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#> 14 15 8 301 335 3.54 3.57 14.6 0 1 5 8
#>