Description Usage Arguments Value Examples
Given a quantitative scenario object of type tidyrisk_scenario
, run an
OpenFAIR Monte Carlo simulation.
1 2 3 4 5 6 7 | run_simulation(
scenario,
iterations = 10000L,
ale_maximum = NULL,
verbose = FALSE,
simulation_count = NULL
)
|
scenario |
A tidyrisk_scenario object. |
iterations |
Number of iterations to run on each scenario. |
ale_maximum |
Maximum practical annual losses. |
verbose |
Whether verbose console output is requested. |
simulation_count |
DEPRECATED Number of simulations to perform. |
Dataframe of results.
1 2 | data(mc_quantitative_scenarios)
run_simulation(mc_quantitative_scenarios$scenario[[1]], 10)
|
# A tibble: 10 x 11
iteration threat_events loss_events vuln mean_tc_exceeda… 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>
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