get_importance_local {spatialRF} | R Documentation |
Gets the local importance data frame from a model
Description
Gets local importance scores from rf()
, rf_repeat()
, and rf_spatial()
models.
Usage
get_importance_local(model)
Arguments
model |
A model fitted with |
Value
A data frame with variable names and local importance scores.
See Also
rf()
, rf_repeat()
, rf_spatial()
, plot_importance()
, print_importance()
.
Examples
if(interactive()){
#loading example data
data(plant_richness_df)
data(distance_matrix)
#fittinga 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
)
#getting importance scores
x <- get_importance_local(rf.model)
x
}
[Package spatialRF version 1.1.4 Index]