I have a data frame with different data columns (say x, y, z) and another column which specifies which one to choose. I want to use dplyr::mutate (or similar) to make a new column that has the value corresponding to value in the column specified by "choose". I want to keep all the columns in the first place. In my real data I also have a few other columns with metadata.
Example data:
library(dplyr)
testdf <- data.frame(x = 1:5, y = 11:15, z = 101:105, choose = c("z","y","x","y","z"))
I can make this work in my example using case_when but in my actual script the column names and choose column are generated and may have different values, so I don't want to hardcode what names there could be.
Desired output/test
mutate(testdf, selectedValue = case_when(choose == "x" ~x,
choose == "y"~ y,
choose == "z"~ z, T~NA_integer_))
#> x y z choose selectedValue
#> 1 1 11 101 z 101
#> 2 2 12 102 y 12
#> 3 3 13 103 x 3
#> 4 4 14 104 y 14
#> 5 5 15 105 z 105
Created on 2019-09-18 by the reprex package (v0.3.0)
Here is a data.table solution. This is a case where I don't think the dplyr solutions are more human readable than other solutions (base r and data.table specifically).
library(data.table)
testdt <- data.table(x = 1:5, y = 11:15, z = 101:105, choose = c("z","y","x","y","z"))
testdt[,selectedValue := get(choose), by = choose]
testdt
#> x y z choose selectedValue
#> 1: 1 11 101 z 101
#> 2: 2 12 102 y 12
#> 3: 3 13 103 x 3
#> 4: 4 14 104 y 14
#> 5: 5 15 105 z 105
Created on 2019-09-17 by the reprex package (v0.3.0)