extract_training_info: Extract training data info

In courtiol/rangeRinPA: Protected Area Personnel and Ranger Numbers are Insufficient to Deliver Global Expectations

Extract training data info

Description

Extract training data info

Usage

extract_training_info(
  which,
  list_results_LMM = list(),
  list_results_RF = list(),
  data = NULL
)

extract_training_info_internal(which, what, who, type, data)

Arguments

which	either "initial" or "final" depending on which training dataset to summarise
list_results_LMM	a list of objects produced by run_LMM_workflow()
list_results_RF	a list of objects produced by run_RF_workflow()
data	a dataset with info on continents if breakdown by continent is required (optional)
what	an object produced by run_LMM_workflow() or run_RF_workflow()
who	the type of staff ("rangers", "others" or "all")
type	the type of workflow ("LMM" or "RF")

Functions

• extract_training_info_internal(): an internal function fetching the info on training datasets

Examples

## Not run: 
LMM_small_test <- run_LMM_workflow(data = data_rangers, Ncpu = 2, coef = 0,
                                     rep_feature_select = 2, rep_finetune = 2, rep_simu = 2)

RF_small_test <- run_RF_workflow(data = data_rangers, Ncpu = 2, coef = 0,
                                 rep_feature_select = 2, rep_finetune = 2, rep_simu = 2,
                                 grid_type = "coarse",
                                 n_trees = 100)

extract_training_info(list_results_LMM = list(LMM_small_test),
                list_results_RF  = list(RF_small_test))

## End(Not run)

courtiol/rangeRinPA documentation built on Sept. 29, 2022, 9:54 a.m.