exposure_histogram: Display a histogram of losses for a scenario
In evaluator: Quantified Risk Assessment Toolkit
Description
Usage
Arguments
Value
See Also
Examples
View source: R/common_graphs.R
Description
Given a results dataframe for a specific scenario, create a histogram of
the annualized loss exposure. This provides a detailed view on the results
for a particular scenario.
Usage
1
exposure_histogram(simulation_result, bins = 30, show_var_95 = FALSE)
Arguments
simulation_result
Simulation result from run_simulation.
bins
Number of bins to use for the histogram.
show_var_95
Set to TRUE to show the 95 percentile value at risk line.
Value
A ggplot object.
See Also
Other result graphs:
generate_event_outcomes_plot(),
generate_heatmap(),
generate_scatterplot-deprecated,
loss_exceedance_curve(),
loss_scatterplot()
Examples
1
2
3
data(mc_simulation_results)
result <- mc_simulation_results$results[[1]]
exposure_histogram(result)
evaluator documentation built on July 6, 2021, 9:06 a.m.
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Description Usage Arguments Value See Also Examples
View source: R/common_graphs.R
Description
Given a results dataframe for a specific scenario, create a histogram of the annualized loss exposure. This provides a detailed view on the results for a particular scenario.
Usage
1 | exposure_histogram(simulation_result, bins = 30, show_var_95 = FALSE)
|
Arguments
simulation_result |
Simulation result from |
bins |
Number of bins to use for the histogram. |
show_var_95 |
Set to TRUE to show the 95 percentile value at risk line. |
Value
A ggplot object.
See Also
Other result graphs:
generate_event_outcomes_plot(),
generate_heatmap(),
generate_scatterplot-deprecated,
loss_exceedance_curve(),
loss_scatterplot()
Examples
1 2 3 | data(mc_simulation_results)
result <- mc_simulation_results$results[[1]]
exposure_histogram(result)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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