in R, how to set and retain custom levels in factor with different labels ?
That is, I want to set custom numbers in the levels of a factor, and these numerical values - integers to be retained and not converted to "1, 2, 3 etc.".
I know that one solution is to set these weights as Labels, but then I will missing the "labels" of the factor.
The "weighted" distance between factors is not retained. Is it possible in R, to achieve something like this, using a single variable ?
For example:
age_f <- factor( c(1, 10, 100), levels = c( 1, 10, 100 ), labels = c( "baby", "child", "old" ), ordered = T )
levels(age_f) [1] "baby" "child" "old" labels(age_f) [1] "1" "2" "3" labels(levels(age_f)) [1] "1" "2" "3" as.numeric(age_f) [1] 1 2 3 Desired output: as.numeric(age_f) [1] 1 10 100
If this does not exists in R factors, it is easy to produce such result by a custom function?
You could use the labelled
package for this.
library(labelled)
labelled(c(1, 10, 100), c(baby = 1, child = 10 , old = 100))
<Labelled double>
[1] 1 10 100
Labels:
value label
1 baby
10 child
100 old
If you later want to convert it into a regular factor you can use to_factor
.