如何将因子的数字级别转换为 R 数据框中的字符串？
要将因子的数值级别转换为 R 数据框中的字符串，我们可以按照以下步骤操作 -
首先，考虑一个内置的数据集或创建一个新的数据集。
然后，将 mutate 函数与 ifelse 结合使用以创建表示因子的基于字符串列的数字列。
考虑一个内置的数据集
让我们来看看基础 R 中的 mtcars 数据集 -
data(mtcars)head(mtcars,25)
执行时，上述脚本生成以下内容output(this output will vary on your system due to randomization)-
输出结果
mpg cyl disp hp drat wt qsec vs am gear carbMazda 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
将数字因子转换为字符串
加载 dplyr 包并将齿轮列中的值转换为字符串的因子 -
data(mtcars)输出结果library(dplyr)
mtcars %>% arrange(gear) %>% mutate(gearW = ifelse(gear == 3, "Three",
ifelse(gear == 4, "Four", "Five")))
mpg cyl disp hp drat wt qsec vs am gear carb gearWHornet 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
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