Rescales transformed columns in a data frame based on the transformed columns in a second data frame. The columns are rescaled by subtracting values and then dividing by values.
Arguments
- data
The data frame to rescale.
- data2
A data frame to use for the rescaling.
- transform
A named list where the name(s) indicate the function(s) to use for the transformations and the elements indicate the columns to transform.
- subtract
A named list where the name(s) indicate the function(s) to use when determining the value to subtract and the elements indicate the columns.
- divide_by
A named list where the name(s) indicate the function(s) to use when determining the value to divide by and the elements indicate the columns.
Examples
rescale_f(datasets::mtcars,
transform = list(log = "mpg"),
subtract = list(mean = c("mpg", "disp"), min = "gear"),
divide_by = list(sd = c("mpg", "hp"))
)
#> mpg cyl disp hp drat wt qsec vs
#> Mazda RX4 0.292195651 6 -70.721875 1.6043669 3.90 2.620 16.46 0
#> Mazda RX4 Wag 0.292195651 6 -70.721875 1.6043669 3.90 2.875 17.02 0
#> Datsun 710 0.568372564 4 -122.721875 1.3564193 3.85 2.320 18.61 1
#> Hornet 4 Drive 0.355560927 6 27.278125 1.6043669 3.08 3.215 19.44 1
#> Hornet Sportabout -0.097358857 8 129.278125 2.5524020 3.15 3.440 17.02 0
#> Valiant -0.206877039 6 -5.721875 1.5314412 2.76 3.460 20.22 1
#> Duster 360 -0.998259062 8 129.278125 3.5733627 3.21 3.570 15.84 0
#> Merc 240D 0.796138474 4 -84.021875 0.9042796 3.69 3.190 20.00 1
#> Merc 230 0.568372564 4 -89.921875 1.3855896 3.92 3.150 22.90 1
#> Merc 280 -0.008745273 6 -63.121875 1.7939739 3.92 3.440 18.30 1
#> Merc 280C -0.263005253 6 -63.121875 1.7939739 3.92 3.440 18.90 1
#> Merc 450SE -0.538104246 8 45.078125 2.6253277 3.07 4.070 17.40 0
#> Merc 450SL -0.358688647 8 45.078125 2.6253277 3.07 3.730 17.60 0
#> Merc 450SLC -0.793284675 8 45.078125 2.6253277 3.07 3.780 18.00 0
#> Cadillac Fleetwood -2.067709478 8 241.278125 2.9899566 2.93 5.250 17.98 0
#> Lincoln Continental -2.067709478 8 229.278125 3.1358081 3.00 5.424 17.82 0
#> Chrysler Imperial -0.905611533 8 209.278125 3.3545854 3.23 5.345 17.42 0
#> Fiat 128 1.748458018 4 -152.021875 0.9626202 4.08 2.200 19.47 1
#> Honda Civic 1.534483750 4 -155.021875 0.7584280 4.93 1.615 18.52 1
#> Toyota Corolla 1.900441418 4 -159.621875 0.9480350 4.22 1.835 19.90 1
#> Toyota Corona 0.371217179 4 -110.621875 1.4147599 3.70 2.465 20.01 1
#> Dodge Challenger -0.727648840 8 87.278125 2.1877731 2.76 3.520 16.87 0
#> AMC Javelin -0.793284675 8 73.278125 2.1877731 3.15 3.435 17.30 0
#> Camaro Z28 -1.241717804 8 119.278125 3.5733627 3.73 3.840 15.41 0
#> Pontiac Firebird -0.008745273 8 169.278125 2.5524020 3.08 3.845 17.05 0
#> Fiat X1-9 1.173283056 4 -151.721875 0.9626202 4.08 1.935 18.90 1
#> Porsche 914-2 1.009433001 4 -110.421875 1.3272490 4.43 2.140 16.70 0
#> Lotus Europa 1.534483750 4 -135.621875 1.6481224 3.77 1.513 16.90 1
#> Ford Pantera L -0.663271279 8 120.278125 3.8504807 4.22 3.170 14.50 0
#> Ferrari Dino 0.077590072 6 -85.721875 2.5524020 3.62 2.770 15.50 0
#> Maserati Bora -0.837765589 8 70.278125 4.8860266 3.54 3.570 14.60 0
#> Volvo 142E 0.355560927 4 -109.721875 1.5897818 4.11 2.780 18.60 1
#> am gear carb
#> Mazda RX4 1 1 4
#> Mazda RX4 Wag 1 1 4
#> Datsun 710 1 1 1
#> Hornet 4 Drive 0 0 1
#> Hornet Sportabout 0 0 2
#> Valiant 0 0 1
#> Duster 360 0 0 4
#> Merc 240D 0 1 2
#> Merc 230 0 1 2
#> Merc 280 0 1 4
#> Merc 280C 0 1 4
#> Merc 450SE 0 0 3
#> Merc 450SL 0 0 3
#> Merc 450SLC 0 0 3
#> Cadillac Fleetwood 0 0 4
#> Lincoln Continental 0 0 4
#> Chrysler Imperial 0 0 4
#> Fiat 128 1 1 1
#> Honda Civic 1 1 2
#> Toyota Corolla 1 1 1
#> Toyota Corona 0 0 1
#> Dodge Challenger 0 0 2
#> AMC Javelin 0 0 2
#> Camaro Z28 0 0 4
#> Pontiac Firebird 0 0 2
#> Fiat X1-9 1 1 1
#> Porsche 914-2 1 2 2
#> Lotus Europa 1 2 2
#> Ford Pantera L 1 2 4
#> Ferrari Dino 1 2 6
#> Maserati Bora 1 2 8
#> Volvo 142E 1 1 2