View source: R/get_importance_local.R
get_importance_local | R Documentation |
Gets local importance scores from rf()
, rf_repeat()
, and rf_spatial()
models.
get_importance_local(model)
model |
A model fitted with |
A data frame with variable names and local importance scores.
rf()
, rf_repeat()
, rf_spatial()
, plot_importance()
, print_importance()
.
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 }
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.