Given a quantitative scenario object of type tidyrisk_scenario, run an
OpenFAIR Monte Carlo simulation.
run_simulation(
scenario,
iterations = 10000L,
ale_maximum = NULL,
verbose = FALSE,
simulation_count = NULL
)A tidyrisk_scenario object.
Number of iterations to run on each scenario.
Maximum practical annual losses.
Whether verbose console output is requested.
DEPRECATED Number of simulations to perform.
Dataframe of results.
data(mc_quantitative_scenarios)
run_simulation(mc_quantitative_scenarios$scenario[[1]], 10)
#> # A tibble: 10 × 11
#> iteration threat_events loss_events vuln mean_tc_exceedance mean_diff_excee…
#> <int> <int> <int> <dbl> <dbl> <dbl>
#> 1 1 30 5 0.167 0.0463 0.0690
#> 2 2 30 11 0.367 0.0323 0.0723
#> 3 3 23 7 0.304 0.0249 0.0842
#> 4 4 19 11 0.579 0.0330 0.0604
#> 5 5 24 4 0.167 0.0281 0.0759
#> 6 6 36 14 0.389 0.0255 0.0633
#> 7 7 32 7 0.219 0.0405 0.0580
#> 8 8 31 8 0.258 0.0210 0.0711
#> 9 9 41 11 0.268 0.0299 0.0660
#> 10 10 20 4 0.2 0.0459 0.0855
#> # … with 5 more variables: ale <dbl>, sle_mean <dbl>, sle_median <dbl>,
#> # sle_max <dbl>, sle_min <dbl>