Store predicted values generated in the rforest function

# S3 method for rforest.predict
store(dataset, object, name = NULL, ...)

Arguments

dataset	Dataset to add predictions to
object	Return value from model function
name	Variable name(s) assigned to predicted values. If empty, the levels of the response variable will be used
...	Additional arguments

Details

See https://radiant-rstats.github.io/docs/model/rforest.html for an example in Radiant

Examples

result <- rforest(
  ketchup,
  rvar = "choice",
  evar = c("price.heinz28", "price.heinz32", "price.heinz41", "price.hunts32"),
  lev = "heinz28"
)
pred <- predict(result, pred_data = ketchup)
#> Using OOB predictions after comparing the training and prediction data
#> Using OOB predictions
ketchup <- store(ketchup, pred, name = c("heinz28", "heinz32", "heinz41", "hunts32"))