Applying the same factor levels to multiple variables in an R data frame

Question

I am working with a dataset that includes 16 questions where the response set is identical (Yes, No, Unknown or Missing). I am processing the data using R and I want to turn

Answer 1

An R base solution using apply

 data.frame(apply(df, 2, factor, 
                 levels=c(-9, 0, 1), 
                 labels = c("Unknown or Missing", "No", "Yes")))

Using sapply

data.frame(sapply(df, factor, levels=c(-9, 0, 1), 
         labels = c("Unknown or Missing", "No", "Yes")))

Answer 2

df[] <- lapply(df, factor, 
              levels=c(-9, 0, 1), 
              labels = c("Unknown or Missing", "No", "Yes"))
str(df)

Likely to be faster than apply or sapply which need data.frame to reform/reclass those results. The trick here is that using [] on the LHS of the assignment preserves the structure of the target (because R "knows" what its class and dimensions are, and the need for data.frame on the list from lapply is not needed. If you had wanted to do this only with selected columns you could do this:

 df[colnums] <- lapply(df[colnums], factor, 
              levels=c(-9, 0, 1), 
              labels = c("Unknown or Missing", "No", "Yes"))
 str(df)