View source: R/prepare_importance_spatial.R
prepare_importance_spatial | R Documentation |
Prepares variable importance data frames and plots for models fitted with rf_spatial()
.
prepare_importance_spatial(model)
model |
An importance data frame with spatial predictors, or a model fitted with |
A list with importance data frames in different formats depending on whether the model was fitted with rf()
or rf_repeat()
.
if(interactive()){ #loading example data data(distance_matrix) data(plant_richness_df) #fittind spatial model model <- rf_spatial( 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 ) #preparing the importance data frame importance <- prepare_importance_spatial(model) names(importance) }
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