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Factorize variables in data.frame

Usage

factorize(data, vars)

Arguments

data

data.frame

vars

variables to force factorize

Value

data.frame

Examples

factorize(mtcars, names(mtcars))
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4             21   6   160 110  3.9  2.62 16.46  0  1    4    4
#> Mazda RX4 Wag         21   6   160 110  3.9 2.875 17.02  0  1    4    4
#> Datsun 710          22.8   4   108  93 3.85  2.32 18.61  1  1    4    1
#> Hornet 4 Drive      21.4   6   258 110 3.08 3.215 19.44  1  0    3    1
#> Hornet Sportabout   18.7   8   360 175 3.15  3.44 17.02  0  0    3    2
#> Valiant             18.1   6   225 105 2.76  3.46 20.22  1  0    3    1
#> Duster 360          14.3   8   360 245 3.21  3.57 15.84  0  0    3    4
#> Merc 240D           24.4   4 146.7  62 3.69  3.19    20  1  0    4    2
#> Merc 230            22.8   4 140.8  95 3.92  3.15  22.9  1  0    4    2
#> Merc 280            19.2   6 167.6 123 3.92  3.44  18.3  1  0    4    4
#> Merc 280C           17.8   6 167.6 123 3.92  3.44  18.9  1  0    4    4
#> Merc 450SE          16.4   8 275.8 180 3.07  4.07  17.4  0  0    3    3
#> Merc 450SL          17.3   8 275.8 180 3.07  3.73  17.6  0  0    3    3
#> Merc 450SLC         15.2   8 275.8 180 3.07  3.78    18  0  0    3    3
#> Cadillac Fleetwood  10.4   8   472 205 2.93  5.25 17.98  0  0    3    4
#> Lincoln Continental 10.4   8   460 215    3 5.424 17.82  0  0    3    4
#> Chrysler Imperial   14.7   8   440 230 3.23 5.345 17.42  0  0    3    4
#> Fiat 128            32.4   4  78.7  66 4.08   2.2 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  19.9  1  1    4    1
#> Toyota Corona       21.5   4 120.1  97  3.7 2.465 20.01  1  0    3    1
#> Dodge Challenger    15.5   8   318 150 2.76  3.52 16.87  0  0    3    2
#> AMC Javelin         15.2   8   304 150 3.15 3.435  17.3  0  0    3    2
#> Camaro Z28          13.3   8   350 245 3.73  3.84 15.41  0  0    3    4
#> Pontiac Firebird    19.2   8   400 175 3.08 3.845 17.05  0  0    3    2
#> Fiat X1-9           27.3   4    79  66 4.08 1.935  18.9  1  1    4    1
#> Porsche 914-2         26   4 120.3  91 4.43  2.14  16.7  0  1    5    2
#> Lotus Europa        30.4   4  95.1 113 3.77 1.513  16.9  1  1    5    2
#> Ford Pantera L      15.8   8   351 264 4.22  3.17  14.5  0  1    5    4
#> Ferrari Dino        19.7   6   145 175 3.62  2.77  15.5  0  1    5    6
#> Maserati Bora         15   8   301 335 3.54  3.57  14.6  0  1    5    8
#> Volvo 142E          21.4   4   121 109 4.11  2.78  18.6  1  1    4    2