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rdplyrtidyversetidyeval

dplyr mutate with an ifelse using dynamic variable names


I want to use as string as a variable name such as this:

var <- 'vs'
var_max <-max(mtcars[, 8], na.rm = T)

#change the max value of the 'vs' column
my_mtcars <- mtcars %>% 
  mutate(get(var) = ifelse(get(var) == var_max, 100, get(var)))

but this returns:

Error: unexpected '=' in:
"my_mtcars <- mtcars %>% 
  mutate(get(var) ="

Another way to do this without a string is:

var_max = max(mtcars$vs)
my_mtcars = mtcars %>% mutate(vs = ifelse(vs == var_max, 100, vs))

Solution

  • You need tidy evaluation: convert var from string to variable using sym then unquote it inside mutate using !!. Note the use of := on the left hand side of ifelse too.

    library(dplyr)
    
    var <- 'vs'
    var_max <- max(mtcars[, 8], na.rm = T)
    var_max
    #> [1] 1
    
    #change the max value of the 'vs' column
    my_mtcars <- mtcars %>% 
      mutate(!!sym(var) := ifelse(!!sym(var) == var_max, 100, !!sym(var)))
    my_mtcars
    #>                      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 18.61 100  1    4    1
    #> Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44 100  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 20.22 100  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 20.00 100  0    4    2
    #> Merc 230            22.8   4 140.8  95 3.92 3.150 22.90 100  0    4    2
    #> Merc 280            19.2   6 167.6 123 3.92 3.440 18.30 100  0    4    4
    #> Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90 100  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 19.47 100  1    4    1
    #> Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52 100  1    4    2
    #> Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90 100  1    4    1
    #> Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01 100  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
    #> Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90 100  1    4    1
    #> Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70   0  1    5    2
    #> Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90 100  1    5    2
    #> Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50   0  1    5    4
    #> Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50   0  1    5    6
    #> Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60   0  1    5    8
    #> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60 100  1    4    2
    

    Created on 2020-03-27 by the reprex package (v0.3.0)