Prints variable importance scores from rf, rf_repeat, and rf_spatial models.
print_importance(
model,
verbose = TRUE
)
A model fitted with rf, rf_repeat, or rf_spatial.
Logical, if TRUE
, variable importance is returned. Default: TRUE
A table printed to the standard output.
if(interactive()){
#loading example data
data(plant_richness_df)
data(distance.matrix)
#fitting a random forest model
rf.model <- rf(
data = plant_richness_df,
dependent.variable.name = "richness_species_vascular",
predictor.variable.names = colnames(plant_richness_df)[5:21],
distance.matrix = distance_matrix,
distance.thresholds = 0,
n.cores = 1,
verbose = FALSE
)
#printing variable importance scores
print_importance(model = rf.model)
}