These functions override the set functions provided in base to make them
generic so that efficient versions for data frames and other tables can be
provided. The default methods call the base versions. Beware that
intersect(), union() and setdiff() remove duplicates.
union_all(x, y, ...)
| x, y | objects to perform set function on (ignoring order) |
|---|---|
| ... | other arguments passed on to methods |
mtcars$model <- rownames(mtcars) first <- mtcars[1:20, ] second <- mtcars[10:32, ] intersect(first, second)#> mpg cyl disp hp drat wt qsec vs am gear carb #> 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 #> model #> Merc 280 Merc 280 #> Merc 280C Merc 280C #> Merc 450SE Merc 450SE #> Merc 450SL Merc 450SL #> Merc 450SLC Merc 450SLC #> Cadillac Fleetwood Cadillac Fleetwood #> Lincoln Continental Lincoln Continental #> Chrysler Imperial Chrysler Imperial #> Fiat 128 Fiat 128 #> Honda Civic Honda Civic #> Toyota Corolla Toyota Corolla#> 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 #> model #> Mazda RX4 Mazda RX4 #> Mazda RX4 Wag Mazda RX4 Wag #> Datsun 710 Datsun 710 #> Hornet 4 Drive Hornet 4 Drive #> Hornet Sportabout Hornet Sportabout #> Valiant Valiant #> Duster 360 Duster 360 #> Merc 240D Merc 240D #> Merc 230 Merc 230 #> Merc 280 Merc 280 #> Merc 280C Merc 280C #> Merc 450SE Merc 450SE #> Merc 450SL Merc 450SL #> Merc 450SLC Merc 450SLC #> Cadillac Fleetwood Cadillac Fleetwood #> Lincoln Continental Lincoln Continental #> Chrysler Imperial Chrysler Imperial #> Fiat 128 Fiat 128 #> Honda Civic Honda Civic #> Toyota Corolla Toyota Corolla #> Toyota Corona Toyota Corona #> Dodge Challenger Dodge Challenger #> AMC Javelin AMC Javelin #> Camaro Z28 Camaro Z28 #> Pontiac Firebird Pontiac Firebird #> Fiat X1-9 Fiat X1-9 #> Porsche 914-2 Porsche 914-2 #> Lotus Europa Lotus Europa #> Ford Pantera L Ford Pantera L #> Ferrari Dino Ferrari Dino #> Maserati Bora Maserati Bora #> Volvo 142E Volvo 142E#> 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 #> model #> Mazda RX4 Mazda RX4 #> Mazda RX4 Wag Mazda RX4 Wag #> Datsun 710 Datsun 710 #> Hornet 4 Drive Hornet 4 Drive #> Hornet Sportabout Hornet Sportabout #> Valiant Valiant #> Duster 360 Duster 360 #> Merc 240D Merc 240D #> Merc 230 Merc 230#> mpg cyl disp hp drat wt qsec vs am gear carb #> 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 #> model #> Toyota Corona Toyota Corona #> Dodge Challenger Dodge Challenger #> AMC Javelin AMC Javelin #> Camaro Z28 Camaro Z28 #> Pontiac Firebird Pontiac Firebird #> Fiat X1-9 Fiat X1-9 #> Porsche 914-2 Porsche 914-2 #> Lotus Europa Lotus Europa #> Ford Pantera L Ford Pantera L #> Ferrari Dino Ferrari Dino #> Maserati Bora Maserati Bora #> Volvo 142E Volvo 142Eunion_all(first, second)#> 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...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 #> Merc 280...21 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> Merc 280C...22 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> Merc 450SE...23 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 #> Merc 450SL...24 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 #> Merc 450SLC...25 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 #> Cadillac Fleetwood...26 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 #> Lincoln Continental...27 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 #> Chrysler Imperial...28 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 #> Fiat 128...29 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 #> Honda Civic...30 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 #> Toyota Corolla...31 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 #> model #> Mazda RX4 Mazda RX4 #> Mazda RX4 Wag Mazda RX4 Wag #> Datsun 710 Datsun 710 #> Hornet 4 Drive Hornet 4 Drive #> Hornet Sportabout Hornet Sportabout #> Valiant Valiant #> Duster 360 Duster 360 #> Merc 240D Merc 240D #> Merc 230 Merc 230 #> Merc 280...10 Merc 280 #> Merc 280C...11 Merc 280C #> Merc 450SE...12 Merc 450SE #> Merc 450SL...13 Merc 450SL #> Merc 450SLC...14 Merc 450SLC #> Cadillac Fleetwood...15 Cadillac Fleetwood #> Lincoln Continental...16 Lincoln Continental #> Chrysler Imperial...17 Chrysler Imperial #> Fiat 128...18 Fiat 128 #> Honda Civic...19 Honda Civic #> Toyota Corolla...20 Toyota Corolla #> Merc 280...21 Merc 280 #> Merc 280C...22 Merc 280C #> Merc 450SE...23 Merc 450SE #> Merc 450SL...24 Merc 450SL #> Merc 450SLC...25 Merc 450SLC #> Cadillac Fleetwood...26 Cadillac Fleetwood #> Lincoln Continental...27 Lincoln Continental #> Chrysler Imperial...28 Chrysler Imperial #> Fiat 128...29 Fiat 128 #> Honda Civic...30 Honda Civic #> Toyota Corolla...31 Toyota Corolla #> Toyota Corona Toyota Corona #> Dodge Challenger Dodge Challenger #> AMC Javelin AMC Javelin #> Camaro Z28 Camaro Z28 #> Pontiac Firebird Pontiac Firebird #> Fiat X1-9 Fiat X1-9 #> Porsche 914-2 Porsche 914-2 #> Lotus Europa Lotus Europa #> Ford Pantera L Ford Pantera L #> Ferrari Dino Ferrari Dino #> Maserati Bora Maserati Bora #> Volvo 142E Volvo 142E#> [1] TRUE# Handling of duplicates: a <- data.frame(column = c(1:10, 10)) b <- data.frame(column = c(1:5, 5)) # intersection is 1 to 5, duplicates removed (5) intersect(a, b)#> column #> 1 1 #> 2 2 #> 3 3 #> 4 4 #> 5 5#> column #> 1 1 #> 2 2 #> 3 3 #> 4 4 #> 5 5 #> 6 6 #> 7 7 #> 8 8 #> 9 9 #> 10 10#> column #> 1 6 #> 2 7 #> 3 8 #> 4 9 #> 5 10# union all does not remove duplicates union_all(a, b)#> column #> 1 1 #> 2 2 #> 3 3 #> 4 4 #> 5 5 #> 6 6 #> 7 7 #> 8 8 #> 9 9 #> 10 10 #> 11 10 #> 12 1 #> 13 2 #> 14 3 #> 15 4 #> 16 5 #> 17 5