Similar to dplyr::group_split() or base::split(), but:
Arguments
- .data
a dataframe
- ...
specified columns to split by; <
tidy-select> Variable names can be used as if they were positions in the data frame, so expressions likex:ycan be used to select a range of variables.- .sep
character that separates concatenated list names
Details
takes only dataframes
auto-names the list of output dataframes
splits based on column names, column numbers, or any selection features from
dplyr::select()if user specifies no columns to split by,
splitter()will split on groupings fromdplyr::group_by()does not create dataframe groups, but preserves dataframe groups in outputs
Examples
# splits by column names
mtcars |> splitter(cyl)
#> $`4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $`6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#>
#> $`8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#>
mtcars |> splitter('cyl')
#> $`4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $`6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#>
#> $`8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#>
mtcars |> splitter(gear, cyl)
#> $`3|4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Toyota Corona 21.5 4 120.1 97 3.7 2.465 20.01 1 0 3 1
#>
#> $`3|6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
#>
#> $`3|8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#>
#> $`4|4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $`4|6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#>
#> $`5|4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.7 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.9 1 1 5 2
#>
#> $`5|6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#>
#> $`5|8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#> Maserati Bora 15.0 8 301 335 3.54 3.57 14.6 0 1 5 8
#>
mtcars |> splitter(am:carb, .sep = ' - ')
#> $`0 - 3 - 1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#>
#> $`0 - 3 - 2`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
#> Dodge Challenger 15.5 8 318 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304 150 3.15 3.435 17.30 0 0 3 2
#> Pontiac Firebird 19.2 8 400 175 3.08 3.845 17.05 0 0 3 2
#>
#> $`0 - 3 - 3`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.4 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.6 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.0 0 0 3 3
#>
#> $`0 - 3 - 4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Duster 360 14.3 8 360 245 3.21 3.570 15.84 0 0 3 4
#> Cadillac Fleetwood 10.4 8 472 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440 230 3.23 5.345 17.42 0 0 3 4
#> Camaro Z28 13.3 8 350 245 3.73 3.840 15.41 0 0 3 4
#>
#> $`0 - 4 - 2`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Merc 240D 24.4 4 146.7 62 3.69 3.19 20.0 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.15 22.9 1 0 4 2
#>
#> $`0 - 4 - 4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Merc 280 19.2 6 167.6 123 3.92 3.44 18.3 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.44 18.9 1 0 4 4
#>
#> $`1 - 4 - 1`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#>
#> $`1 - 4 - 2`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $`1 - 4 - 4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21 6 160 110 3.9 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21 6 160 110 3.9 2.875 17.02 0 1 4 4
#>
#> $`1 - 5 - 2`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.7 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.9 1 1 5 2
#>
#> $`1 - 5 - 4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#>
#> $`1 - 5 - 6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#>
#> $`1 - 5 - 8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Maserati Bora 15 8 301 335 3.54 3.57 14.6 0 1 5 8
#>
# or a column number
mtcars |> splitter(2)
#> $`4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $`6`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#>
#> $`8`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#>
mtcars |> splitter(2, 10)
#> $`4|3`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Toyota Corona 21.5 4 120.1 97 3.7 2.465 20.01 1 0 3 1
#>
#> $`4|4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
#>
#> $`4|5`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.7 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.9 1 1 5 2
#>
#> $`6|3`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
#> Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
#>
#> $`6|4`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#>
#> $`6|5`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#>
#> $`8|3`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#>
#> $`8|5`
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#> Maserati Bora 15.0 8 301 335 3.54 3.57 14.6 0 1 5 8
#>
# splits by `dplyr` grouped variables if no split info is passed as an argument
mtcars |> dplyr::group_by(cyl) |> splitter()
#> $`4`
#> # A tibble: 11 × 11
#> # Groups: cyl [1]
#> 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
#> # Groups: cyl [1]
#> 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
#> # Groups: cyl [1]
#> 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
#>
# if there are already groups, but a split argument is passed in,
# splitter ignores the `dplyr` groupings as a split variable but
# preserves the `dplyr` groups in the result
mtcars |> dplyr::group_by(cyl) |> splitter(gear)
#> $`3`
#> # A tibble: 15 × 11
#> # Groups: cyl [3]
#> 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 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
#> 3 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
#> 4 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4
#> 5 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3
#> 6 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3
#> 7 15.2 8 276. 180 3.07 3.78 18 0 0 3 3
#> 8 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4
#> 9 10.4 8 460 215 3 5.42 17.8 0 0 3 4
#> 10 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4
#> 11 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1
#> 12 15.5 8 318 150 2.76 3.52 16.9 0 0 3 2
#> 13 15.2 8 304 150 3.15 3.44 17.3 0 0 3 2
#> 14 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4
#> 15 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2
#>
#> $`4`
#> # A tibble: 12 × 11
#> # Groups: cyl [2]
#> 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 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
#> 4 24.4 4 147. 62 3.69 3.19 20 1 0 4 2
#> 5 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2
#> 6 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4
#> 7 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4
#> 8 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1
#> 9 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2
#> 10 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1
#> 11 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1
#> 12 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2
#>
#> $`5`
#> # A tibble: 5 × 11
#> # Groups: cyl [3]
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 26 4 120. 91 4.43 2.14 16.7 0 1 5 2
#> 2 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2
#> 3 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#> 4 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#> 5 15 8 301 335 3.54 3.57 14.6 0 1 5 8
#>
# splitter only takes column names, to split by
# an expression, use `dplyr::group_by()`
mtcars |> dplyr::group_by(cyl==4) |> splitter()
#> $`FALSE`
#> # A tibble: 21 × 12
#> # Groups: cyl == 4 [1]
#> mpg cyl disp hp drat wt qsec vs am gear carb `cyl == 4`
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
#> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 FALSE
#> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 FALSE
#> 3 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 FALSE
#> 4 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 FALSE
#> 5 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 FALSE
#> 6 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 FALSE
#> 7 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 FALSE
#> 8 17.8 6 168. 123 3.92 3.44 18.9 1 0 4 4 FALSE
#> 9 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3 FALSE
#> 10 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3 FALSE
#> # ℹ 11 more rows
#>
#> $`TRUE`
#> # A tibble: 11 × 12
#> # Groups: cyl == 4 [1]
#> mpg cyl disp hp drat wt qsec vs am gear carb `cyl == 4`
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
#> 1 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 TRUE
#> 2 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 TRUE
#> 3 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 TRUE
#> 4 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1 TRUE
#> 5 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2 TRUE
#> 6 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1 TRUE
#> 7 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1 TRUE
#> 8 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1 TRUE
#> 9 26 4 120. 91 4.43 2.14 16.7 0 1 5 2 TRUE
#> 10 30.4 4 95.1 113 3.77 1.51 16.9 1 1 5 2 TRUE
#> 11 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2 TRUE
#>