Train (update) a discrete scale
Usage
train_discrete(new, existing = NULL, drop = FALSE, na.rm = FALSE, fct = NA)
Arguments
- new
New data to add to scale
- existing
Optional existing scale to update
- drop
TRUE, will drop factor levels not associated with data
- na.rm
If TRUE, will remove missing values
- fct
Treat existing as if it came from a factor (ie. don't sort the range)
