summarize_iterations: Create a summary of outcomes across all scenarios

In evaluator: Quantified Risk Assessment Toolkit

Description

Given a dataframe of raw results from run_simulations, summarize the individual results at a per-iteration level.

Usage

summarize_iterations(simulation_result, ..., .key = "iteration")

Arguments

simulation_result	Results object for a single scenario.
...	Additional simulation result objects to summarize.
.key	Iteration ID field

Details

Summary stats created include: * Mean/Min/Max/Median are calculated for loss events * Median/Max/VaR are calculated for annual loss expected (ALE) * Mean/Median/Max/Min are calculated for single loss expected (SLE) * Mean percentage of threat capability exceeding difficulty on successful threat events * Mean percentage of difficulty exceeding threat capability on defended events * Vulnerability percentage * Z-score of ALE (outliers flagged as 2 >= z-score)

Value

Dataframe.

Examples

data(mc_simulation_results)
summarize_iterations(mc_simulation_results$results)

evaluator documentation built on July 6, 2021, 9:06 a.m.