R/transform.R
mutate_ext.RdAdd transformed variables to a data frame with the option to include a custom variable name extension
mutate_ext(.tbl, .funs, ..., .ext = "", .vars = c())
| .tbl | Data frame to add transformed variables to |
|---|---|
| .funs | Function(s) to apply (e.g., log) |
| ... | Variables to transform |
| .ext | Extension to add for each variable |
| .vars | A list of columns generated by dplyr::vars(), or a character vector of column names, or a numeric vector of column positions. |
Wrapper for dplyr::mutate_at that allows custom variable name extensions
mutate_ext(mtcars, .funs = log, mpg, cyl, .ext = "_ln")#> 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 #> mpg_ln cyl_ln #> Mazda RX4 3.044522 1.791759 #> Mazda RX4 Wag 3.044522 1.791759 #> Datsun 710 3.126761 1.386294 #> Hornet 4 Drive 3.063391 1.791759 #> Hornet Sportabout 2.928524 2.079442 #> Valiant 2.895912 1.791759 #> Duster 360 2.660260 2.079442 #> Merc 240D 3.194583 1.386294 #> Merc 230 3.126761 1.386294 #> Merc 280 2.954910 1.791759 #> Merc 280C 2.879198 1.791759 #> Merc 450SE 2.797281 2.079442 #> Merc 450SL 2.850707 2.079442 #> Merc 450SLC 2.721295 2.079442 #> Cadillac Fleetwood 2.341806 2.079442 #> Lincoln Continental 2.341806 2.079442 #> Chrysler Imperial 2.687847 2.079442 #> Fiat 128 3.478158 1.386294 #> Honda Civic 3.414443 1.386294 #> Toyota Corolla 3.523415 1.386294 #> Toyota Corona 3.068053 1.386294 #> Dodge Challenger 2.740840 2.079442 #> AMC Javelin 2.721295 2.079442 #> Camaro Z28 2.587764 2.079442 #> Pontiac Firebird 2.954910 2.079442 #> Fiat X1-9 3.306887 1.386294 #> Porsche 914-2 3.258097 1.386294 #> Lotus Europa 3.414443 1.386294 #> Ford Pantera L 2.760010 2.079442 #> Ferrari Dino 2.980619 1.791759 #> Maserati Bora 2.708050 2.079442 #> Volvo 142E 3.063391 1.386294mutate_ext(mtcars, .funs = log, .ext = "_ln")#> 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 #> mpg_ln cyl_ln disp_ln hp_ln drat_ln wt_ln #> Mazda RX4 3.044522 1.791759 5.075174 4.700480 1.360977 0.9631743 #> Mazda RX4 Wag 3.044522 1.791759 5.075174 4.700480 1.360977 1.0560527 #> Datsun 710 3.126761 1.386294 4.682131 4.532599 1.348073 0.8415672 #> Hornet 4 Drive 3.063391 1.791759 5.552960 4.700480 1.124930 1.1678274 #> Hornet Sportabout 2.928524 2.079442 5.886104 5.164786 1.147402 1.2354715 #> Valiant 2.895912 1.791759 5.416100 4.653960 1.015231 1.2412686 #> Duster 360 2.660260 2.079442 5.886104 5.501258 1.166271 1.2725656 #> Merc 240D 3.194583 1.386294 4.988390 4.127134 1.305626 1.1600209 #> Merc 230 3.126761 1.386294 4.947340 4.553877 1.366092 1.1474025 #> Merc 280 2.954910 1.791759 5.121580 4.812184 1.366092 1.2354715 #> Merc 280C 2.879198 1.791759 5.121580 4.812184 1.366092 1.2354715 #> Merc 450SE 2.797281 2.079442 5.619676 5.192957 1.121678 1.4036430 #> Merc 450SL 2.850707 2.079442 5.619676 5.192957 1.121678 1.3164082 #> Merc 450SLC 2.721295 2.079442 5.619676 5.192957 1.121678 1.3297240 #> Cadillac Fleetwood 2.341806 2.079442 6.156979 5.323010 1.075002 1.6582281 #> Lincoln Continental 2.341806 2.079442 6.131226 5.370638 1.098612 1.6908336 #> Chrysler Imperial 2.687847 2.079442 6.086775 5.438079 1.172482 1.6761615 #> Fiat 128 3.478158 1.386294 4.365643 4.189655 1.406097 0.7884574 #> Honda Civic 3.414443 1.386294 4.326778 3.951244 1.595339 0.4793350 #> Toyota Corolla 3.523415 1.386294 4.264087 4.174387 1.439835 0.6070445 #> Toyota Corona 3.068053 1.386294 4.788325 4.574711 1.308333 0.9021918 #> Dodge Challenger 2.740840 2.079442 5.762051 5.010635 1.015231 1.2584610 #> AMC Javelin 2.721295 2.079442 5.717028 5.010635 1.147402 1.2340169 #> Camaro Z28 2.587764 2.079442 5.857933 5.501258 1.316408 1.3454724 #> Pontiac Firebird 2.954910 2.079442 5.991465 5.164786 1.124930 1.3467736 #> Fiat X1-9 3.306887 1.386294 4.369448 4.189655 1.406097 0.6601073 #> Porsche 914-2 3.258097 1.386294 4.789989 4.510860 1.488400 0.7608058 #> Lotus Europa 3.414443 1.386294 4.554929 4.727388 1.327075 0.4140944 #> Ford Pantera L 2.760010 2.079442 5.860786 5.575949 1.439835 1.1537316 #> Ferrari Dino 2.980619 1.791759 4.976734 5.164786 1.286474 1.0188473 #> Maserati Bora 2.708050 2.079442 5.707110 5.814131 1.264127 1.2725656 #> Volvo 142E 3.063391 1.386294 4.795791 4.691348 1.413423 1.0224509 #> qsec_ln vs_ln am_ln gear_ln carb_ln #> Mazda RX4 2.800933 -Inf 0 1.386294 1.3862944 #> Mazda RX4 Wag 2.834389 -Inf 0 1.386294 1.3862944 #> Datsun 710 2.923699 0 0 1.386294 0.0000000 #> Hornet 4 Drive 2.967333 0 -Inf 1.098612 0.0000000 #> Hornet Sportabout 2.834389 -Inf -Inf 1.098612 0.6931472 #> Valiant 3.006672 0 -Inf 1.098612 0.0000000 #> Duster 360 2.762538 -Inf -Inf 1.098612 1.3862944 #> Merc 240D 2.995732 0 -Inf 1.386294 0.6931472 #> Merc 230 3.131137 0 -Inf 1.386294 0.6931472 #> Merc 280 2.906901 0 -Inf 1.386294 1.3862944 #> Merc 280C 2.939162 0 -Inf 1.386294 1.3862944 #> Merc 450SE 2.856470 -Inf -Inf 1.098612 1.0986123 #> Merc 450SL 2.867899 -Inf -Inf 1.098612 1.0986123 #> Merc 450SLC 2.890372 -Inf -Inf 1.098612 1.0986123 #> Cadillac Fleetwood 2.889260 -Inf -Inf 1.098612 1.3862944 #> Lincoln Continental 2.880321 -Inf -Inf 1.098612 1.3862944 #> Chrysler Imperial 2.857619 -Inf -Inf 1.098612 1.3862944 #> Fiat 128 2.968875 0 0 1.386294 0.0000000 #> Honda Civic 2.918851 0 0 1.386294 0.6931472 #> Toyota Corolla 2.990720 0 0 1.386294 0.0000000 #> Toyota Corona 2.996232 0 -Inf 1.098612 0.0000000 #> Dodge Challenger 2.825537 -Inf -Inf 1.098612 0.6931472 #> AMC Javelin 2.850707 -Inf -Inf 1.098612 0.6931472 #> Camaro Z28 2.735017 -Inf -Inf 1.098612 1.3862944 #> Pontiac Firebird 2.836150 -Inf -Inf 1.098612 0.6931472 #> Fiat X1-9 2.939162 0 0 1.386294 0.0000000 #> Porsche 914-2 2.815409 -Inf 0 1.609438 0.6931472 #> Lotus Europa 2.827314 0 0 1.609438 0.6931472 #> Ford Pantera L 2.674149 -Inf 0 1.609438 1.3862944 #> Ferrari Dino 2.740840 -Inf 0 1.609438 1.7917595 #> Maserati Bora 2.681022 -Inf 0 1.609438 2.0794415 #> Volvo 142E 2.923162 0 0 1.386294 0.6931472mutate_ext(mtcars, .funs = log)#> mpg cyl disp hp drat wt #> Mazda RX4 3.044522 1.791759 5.075174 4.700480 1.360977 0.9631743 #> Mazda RX4 Wag 3.044522 1.791759 5.075174 4.700480 1.360977 1.0560527 #> Datsun 710 3.126761 1.386294 4.682131 4.532599 1.348073 0.8415672 #> Hornet 4 Drive 3.063391 1.791759 5.552960 4.700480 1.124930 1.1678274 #> Hornet Sportabout 2.928524 2.079442 5.886104 5.164786 1.147402 1.2354715 #> Valiant 2.895912 1.791759 5.416100 4.653960 1.015231 1.2412686 #> Duster 360 2.660260 2.079442 5.886104 5.501258 1.166271 1.2725656 #> Merc 240D 3.194583 1.386294 4.988390 4.127134 1.305626 1.1600209 #> Merc 230 3.126761 1.386294 4.947340 4.553877 1.366092 1.1474025 #> Merc 280 2.954910 1.791759 5.121580 4.812184 1.366092 1.2354715 #> Merc 280C 2.879198 1.791759 5.121580 4.812184 1.366092 1.2354715 #> Merc 450SE 2.797281 2.079442 5.619676 5.192957 1.121678 1.4036430 #> Merc 450SL 2.850707 2.079442 5.619676 5.192957 1.121678 1.3164082 #> Merc 450SLC 2.721295 2.079442 5.619676 5.192957 1.121678 1.3297240 #> Cadillac Fleetwood 2.341806 2.079442 6.156979 5.323010 1.075002 1.6582281 #> Lincoln Continental 2.341806 2.079442 6.131226 5.370638 1.098612 1.6908336 #> Chrysler Imperial 2.687847 2.079442 6.086775 5.438079 1.172482 1.6761615 #> Fiat 128 3.478158 1.386294 4.365643 4.189655 1.406097 0.7884574 #> Honda Civic 3.414443 1.386294 4.326778 3.951244 1.595339 0.4793350 #> Toyota Corolla 3.523415 1.386294 4.264087 4.174387 1.439835 0.6070445 #> Toyota Corona 3.068053 1.386294 4.788325 4.574711 1.308333 0.9021918 #> Dodge Challenger 2.740840 2.079442 5.762051 5.010635 1.015231 1.2584610 #> AMC Javelin 2.721295 2.079442 5.717028 5.010635 1.147402 1.2340169 #> Camaro Z28 2.587764 2.079442 5.857933 5.501258 1.316408 1.3454724 #> Pontiac Firebird 2.954910 2.079442 5.991465 5.164786 1.124930 1.3467736 #> Fiat X1-9 3.306887 1.386294 4.369448 4.189655 1.406097 0.6601073 #> Porsche 914-2 3.258097 1.386294 4.789989 4.510860 1.488400 0.7608058 #> Lotus Europa 3.414443 1.386294 4.554929 4.727388 1.327075 0.4140944 #> Ford Pantera L 2.760010 2.079442 5.860786 5.575949 1.439835 1.1537316 #> Ferrari Dino 2.980619 1.791759 4.976734 5.164786 1.286474 1.0188473 #> Maserati Bora 2.708050 2.079442 5.707110 5.814131 1.264127 1.2725656 #> Volvo 142E 3.063391 1.386294 4.795791 4.691348 1.413423 1.0224509 #> qsec vs am gear carb #> Mazda RX4 2.800933 -Inf 0 1.386294 1.3862944 #> Mazda RX4 Wag 2.834389 -Inf 0 1.386294 1.3862944 #> Datsun 710 2.923699 0 0 1.386294 0.0000000 #> Hornet 4 Drive 2.967333 0 -Inf 1.098612 0.0000000 #> Hornet Sportabout 2.834389 -Inf -Inf 1.098612 0.6931472 #> Valiant 3.006672 0 -Inf 1.098612 0.0000000 #> Duster 360 2.762538 -Inf -Inf 1.098612 1.3862944 #> Merc 240D 2.995732 0 -Inf 1.386294 0.6931472 #> Merc 230 3.131137 0 -Inf 1.386294 0.6931472 #> Merc 280 2.906901 0 -Inf 1.386294 1.3862944 #> Merc 280C 2.939162 0 -Inf 1.386294 1.3862944 #> Merc 450SE 2.856470 -Inf -Inf 1.098612 1.0986123 #> Merc 450SL 2.867899 -Inf -Inf 1.098612 1.0986123 #> Merc 450SLC 2.890372 -Inf -Inf 1.098612 1.0986123 #> Cadillac Fleetwood 2.889260 -Inf -Inf 1.098612 1.3862944 #> Lincoln Continental 2.880321 -Inf -Inf 1.098612 1.3862944 #> Chrysler Imperial 2.857619 -Inf -Inf 1.098612 1.3862944 #> Fiat 128 2.968875 0 0 1.386294 0.0000000 #> Honda Civic 2.918851 0 0 1.386294 0.6931472 #> Toyota Corolla 2.990720 0 0 1.386294 0.0000000 #> Toyota Corona 2.996232 0 -Inf 1.098612 0.0000000 #> Dodge Challenger 2.825537 -Inf -Inf 1.098612 0.6931472 #> AMC Javelin 2.850707 -Inf -Inf 1.098612 0.6931472 #> Camaro Z28 2.735017 -Inf -Inf 1.098612 1.3862944 #> Pontiac Firebird 2.836150 -Inf -Inf 1.098612 0.6931472 #> Fiat X1-9 2.939162 0 0 1.386294 0.0000000 #> Porsche 914-2 2.815409 -Inf 0 1.609438 0.6931472 #> Lotus Europa 2.827314 0 0 1.609438 0.6931472 #> Ford Pantera L 2.674149 -Inf 0 1.609438 1.3862944 #> Ferrari Dino 2.740840 -Inf 0 1.609438 1.7917595 #> Maserati Bora 2.681022 -Inf 0 1.609438 2.0794415 #> Volvo 142E 2.923162 0 0 1.386294 0.6931472mutate_ext(mtcars, .funs = log, .ext = "_ln", .vars = vars(mpg, cyl))#> 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 #> mpg_ln cyl_ln #> Mazda RX4 3.044522 1.791759 #> Mazda RX4 Wag 3.044522 1.791759 #> Datsun 710 3.126761 1.386294 #> Hornet 4 Drive 3.063391 1.791759 #> Hornet Sportabout 2.928524 2.079442 #> Valiant 2.895912 1.791759 #> Duster 360 2.660260 2.079442 #> Merc 240D 3.194583 1.386294 #> Merc 230 3.126761 1.386294 #> Merc 280 2.954910 1.791759 #> Merc 280C 2.879198 1.791759 #> Merc 450SE 2.797281 2.079442 #> Merc 450SL 2.850707 2.079442 #> Merc 450SLC 2.721295 2.079442 #> Cadillac Fleetwood 2.341806 2.079442 #> Lincoln Continental 2.341806 2.079442 #> Chrysler Imperial 2.687847 2.079442 #> Fiat 128 3.478158 1.386294 #> Honda Civic 3.414443 1.386294 #> Toyota Corolla 3.523415 1.386294 #> Toyota Corona 3.068053 1.386294 #> Dodge Challenger 2.740840 2.079442 #> AMC Javelin 2.721295 2.079442 #> Camaro Z28 2.587764 2.079442 #> Pontiac Firebird 2.954910 2.079442 #> Fiat X1-9 3.306887 1.386294 #> Porsche 914-2 3.258097 1.386294 #> Lotus Europa 3.414443 1.386294 #> Ford Pantera L 2.760010 2.079442 #> Ferrari Dino 2.980619 1.791759 #> Maserati Bora 2.708050 2.079442 #> Volvo 142E 3.063391 1.386294