print_importance: Prints variable importance

In spatialRF: Easy Spatial Modeling with Random Forest

Prints variable importance

Description

Prints variable importance scores from rf, rf_repeat, and rf_spatial models.

Usage

print_importance(
  model,
  verbose = TRUE
)

Arguments

model	A model fitted with rf, rf_repeat, or rf_spatial.
verbose	Logical, if TRUE, variable importance is returned. Default: TRUE

Value

A table printed to the standard output.

See Also

plot_importance(), get_importance()

Examples

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)

}

spatialRF documentation built on Aug. 19, 2022, 5:23 p.m.