get_importance_local: Gets the local importance data frame from a model

In BlasBenito/spatialRF: Easy Spatial Modeling with Random Forest

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 rf(), rf_repeat(), or rf_spatial(). Default: NULL

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

}

BlasBenito/spatialRF documentation built on Sept. 1, 2022, 1:42 p.m.