Title
makeScales(data, scales, append = TRUE)
data | The dataframe containing the variables (the items). |
---|---|
scales | A list of character vectors with the items in each scale, where each vectors' name is the name of the scale. |
append | Whether to return the dataframe including the new variables
( |
Either a dataframe with the newly created variables, or the supplied dataframe with the newly created variables appended.
### First generate a list with the scales scales <- list(scale1 = c('mpg', 'cyl'), scale2 = c('disp', 'hp')); ### Create the scales and add them to the dataframe makeScales(mtcars, scales); #> mpg cyl disp hp drat wt qsec vs am gear carb scale1 #> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 13.50 #> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 13.50 #> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 13.40 #> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 13.70 #> Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 13.35 #> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 12.05 #> Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 11.15 #> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 14.20 #> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 13.40 #> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 12.60 #> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 11.90 #> Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 12.20 #> Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 12.65 #> Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 11.60 #> Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 9.20 #> Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 9.20 #> Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 11.35 #> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 18.20 #> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 17.20 #> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 18.95 #> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 12.75 #> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 11.75 #> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 11.60 #> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 10.65 #> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 13.60 #> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 15.65 #> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 15.00 #> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 17.20 #> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 11.90 #> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 12.85 #> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 11.50 #> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 12.70 #> scale2 #> Mazda RX4 135.00 #> Mazda RX4 Wag 135.00 #> Datsun 710 100.50 #> Hornet 4 Drive 184.00 #> Hornet Sportabout 267.50 #> Valiant 165.00 #> Duster 360 302.50 #> Merc 240D 104.35 #> Merc 230 117.90 #> Merc 280 145.30 #> Merc 280C 145.30 #> Merc 450SE 227.90 #> Merc 450SL 227.90 #> Merc 450SLC 227.90 #> Cadillac Fleetwood 338.50 #> Lincoln Continental 337.50 #> Chrysler Imperial 335.00 #> Fiat 128 72.35 #> Honda Civic 63.85 #> Toyota Corolla 68.05 #> Toyota Corona 108.55 #> Dodge Challenger 234.00 #> AMC Javelin 227.00 #> Camaro Z28 297.50 #> Pontiac Firebird 287.50 #> Fiat X1-9 72.50 #> Porsche 914-2 105.65 #> Lotus Europa 104.05 #> Ford Pantera L 307.50 #> Ferrari Dino 160.00 #> Maserati Bora 318.00 #> Volvo 142E 115.00