softwareRisk (version 0.1.0)

path_uncertainty_plot: Plot path-level uncertainty for the top-risk paths

Description

Plot the top n_paths paths ranked by their mean risk score, with horizontal error bars representing the uncertainty range (minimum and maximum risk) computed from the Monte Carlo samples stored in uncertainty_analysis.

Usage

path_uncertainty_plot(ua_sa_out, n_paths = 20)

Value

A ggplot2 object.

Arguments

ua_sa_out

A list returned by uncertainty_fun() containing at least an element $paths, which must be a data frame with columns path_id and uncertainty_analysis. The column uncertainty_analysis is expected to be a list-column where each element is a numeric vector of path risk values obtained from Monte Carlo sampling.

n_paths

Integer, number of top paths (by mean risk) to include in the plot. Defaults to 20.

Details

This function is designed to work with the paths component of the output of uncertainty_fun(). For each path, it summarises the vector of path risk values by computing the mean, minimum and maximum values, and then displays these summaries for the n_paths most risky paths.

Examples

# \donttest{
data(synthetic_graph)
out <- all_paths_fun(graph = synthetic_graph, alpha = 0.6, beta = 0.3,
gamma = 0.1, complexity_col = "cyclo")
results <- uncertainty_fun(all_paths_out = out, N = 2^10, order = "first")
path_uncertainty_plot(ua_sa_out = results, n_paths = 20)
# }