Recoding multiple values in a column using an "ifelse" statement

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I'm new to using "R" (used to using SPSS), I am having trouble recoding values for a variable, given multiple responses or cases for that variable. I am trying to use an "ifelse" function to achieve this, but I cannot make the function work for modifying more than two values for the variables. I want to recode responses for a variable with multiple cases. Currently the data includes #'s 1, 2, 3, 4 and I want to recode these numbers like this:

  • (1=0.6)
  • (2=1.2)
  • (3=2.5)
  • (4=1.8)

I am trying to use an "ifelse" function to achieve this, but I cannot make the function work for modifying more than two different values for the specific variable.

ChildPABase19_test$Predilection_1 <- ifelse(ChildPABase19_test$Predilection_1==1, 0.6, ifelse(ChildPABase19_test$Predilection_1==2, 1.2,
ifelse(ChildPABase19_test$Predilection_1==3, 2.5, ifelse(ChildPABase19_test$Predilection_1==4, 1.8))

I would like all of the data in the column for variable Predilection_1 to be recoded with 0.6, 1.2, 2.5, 1.8, but I keep getting the error: argument "no" is missing, with no default. Any ideas of how I can modify this code would be greatly appreciated!

I think this code using dplyr package may help:

require(dplyr)
x = c(1, 2, 3, 4)
transform_rule <- list(
    "1" = "0.6",
    "2" = "1.2",
    "3" = "2.5",
    "4" = "1.8"
)
x_recoded <- as.numeric(recode(x, !!!transform_rule))

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library(expss)
ChildPABase19_test = data.frame(Predilection_1 = c(1, 2, 3, 4))
recode(ChildPABase19_test$Predilection_1) = c(1 ~ 0.6, 2 ~ 1.2, 3 ~ 2.5, 4 ~ 1.8)

ChildPABase19_test
#    Predilection_1
# 1            0.6
# 2            1.2
# 3            2.5
# 4            1.8

How to Recode Multiple Values in a Column in R. [HD], How to Recode Multiple Values in a Column in R. [HD]. Mr. Math Expert. Loading Duration: 3:39 Posted: Apr 26, 2018 Suppose that you want to recode a different column with the same values. Save the recoded values in a formula column and then edit the formula. 1. Enter the recoded values in the New Values column of the Recode window. 2. Select Formula Column from the list next to the red triangle menu. 3. Click Recode. 4. Right-click the formula column and

It might be easier to see the problem if you add more white space to the code.

ChildPABase19_test$Predilection_1 <- ifelse(
  ChildPABase19_test$Predilection_1 == 1, 
  0.6, 
  ifelse(
    ChildPABase19_test$Predilection_1 == 2, 
    1.2, 
    ifelse(
      ChildPABase19_test$Predilection_1 == 3, 
      2.5, 
      ifelse(
        ChildPABase19_test$Predilection_1 == 4, 
        1.8
      )
    )

From this you may be able to see two things: the final ifelse() only has two arguments rather than three, and there are two closing brackets missing. The first thing is what's causing the error message: the missing third argument is the 'no' argument that R is complaining is missing. You should set this argument to whatever you want the value of Predilection_1 to be if the original value is not one of 1, 2, 3 or 4. If you don't have a value in mind, you should probably set it to NA.

You should also add the two missing closing brackets, or the code will not run.

The difficulty in reading nested ifelse() functions is one reason why the dplyr package includes the case_when() function. You can use this to produce much shorter code:

ChildPABase19_test <- mutate(ChildPABase19_test, Predilection_1 = case_when(
  Predilection_1 == 1 ~ 0.6,
  Predilection_1 == 2 ~ 1.2,
  Predilection_1 == 3 ~ 2.5,
  Predilection_1 == 4 ~ 1.8,
  TRUE ~ NA_real_
))

The examples in the documentation for case_when() do a fairly good job of explaining the syntax, if you need further help.

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Comments
  • The last if else ifelse(ChildPABase19_test$Predilection_1==4, 1.8) is missing the else value ifelse(ChildPABase19_test$Predilection_1==4, 1.8, "???")