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How to convert numeric levels of a factor into string in R data frame?
To convert numeric levels of a factor into string in R data frame, we can follow the below steps −
First of all, consider an in-built data set or create new one.
Then, use mutate function with ifelse to create string column based numeric column representing a factor.
Consider an-inbuilt data set
Let’s have a look at mtcars data set in base R −
data(mtcars) head(mtcars,25)
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
Output
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
Convert numeric factor into string
Loading dplyr package and converting values in gear column that represents a factor to string −
data(mtcars) library(dplyr) mtcars %>% arrange(gear) %>% mutate(gearW = ifelse(gear == 3, "Three", ifelse(gear == 4, "Four", "Five")))
Output
mpg cyl disp hp drat wt qsec vs am gear carb gearW Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 Three Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 Three Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 Three Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 Three Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 Three Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 Three Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 Three Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 Three Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 Three Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 Three Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 Three Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 Three AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 Three Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 Three Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 Three Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 Four Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 Four Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 Four Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 Four Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 Four Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 Four Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 Four Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 Four Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 Four Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 Four Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 Four Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 Four Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 Five Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 Five Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 Five Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 Five Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 Five
Updated on: 11-Aug-2021
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