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())Data frame to add transformed variables to
Function(s) to apply (e.g., log)
Variables to transform
Extension to add for each variable
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 1.386294
mutate_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 0.6931472
mutate_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 0.6931472
mutate_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