Title

makeScales(data, scales, append = TRUE)

Arguments

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 (TRUE), or a dataframe with only those new variables (FALSE).

Value

Either a dataframe with the newly created variables, or the supplied dataframe with the newly created variables appended.

Examples

### 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