Functions for creating id column and key.
use_id(.tbl)
compute_id_name(x)
add_id(.tbl)
key_by_id(.tbl, .add = FALSE, .exclude = FALSE)Reference data frame.
Character vector of names.
Parameters for key_by().
use_id() assigns as keys a tibble with column '.id'
and row numbers of .tbl as values.
compute_id_name() computes the name which is different from every
element in x by the following algorithm: if '.id' is not present in x it
is returned; if taken - '.id1' is checked; if taken - '.id11' is checked and
so on.
add_id() creates a column with unique name (computed with
compute_id_name()) and row numbers as values (grouping is ignored). After
that puts it as first column.
key_by_id() is similar to add_id(): it creates a column with unique name
and row numbers as values (grouping is ignored) and calls key_by() function
to use this column as key. If .add is FALSE unique name is computed based
on .tbl column names; if TRUE then based on .tbl and its keys column
names.
mtcars %>% use_id()
#> # A keyed object. Keys: .id
#> 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
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 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
#> 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
#> 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
#> 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
#> 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
#> 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
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
mtcars %>% add_id()
#> .id mpg cyl disp hp drat wt qsec vs am gear carb
#> Mazda RX4 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Datsun 710 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 240D 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Merc 280 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 11 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Merc 450SE 12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 15 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 16 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 17 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Fiat 128 18 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 19 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 20 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Dodge Challenger 22 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 24 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 25 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Fiat X1-9 26 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 27 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Ford Pantera L 29 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 30 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 31 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 32 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
mtcars %>% key_by_id(.exclude = TRUE)
#> # A keyed object. Keys: .id
#> 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
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 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
#> 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
#> 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
#> 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
#> 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
#> 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
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2