plot_uncertainty: Visualization of the model output uncertainty

In arnaldpuy/sensobol: Computation of Variance-Based Sensitivity Indices

Visualization of the model output uncertainty

Description

It creates an histogram with the model output distribution.

Usage

plot_uncertainty(Y, N = NULL)

Arguments

Y	A numeric vector with the model output obtained from the matrix created with sobol_matrices.
N	Positive integer, the initial sample size of the base sample matrix created with sobol_matrices.

Value

A ggplot2 object.

Examples

# Define settings
N <- 1000; params <- paste("X", 1:3, sep = ""); R <- 10

# Create sample matrix
mat <- sobol_matrices(N = N, params = params)

# Compute Ishigami function
Y <- ishigami_Fun(mat)

# Plot uncertainty
plot_uncertainty(Y = Y, N = N)

arnaldpuy/sensobol documentation built on Feb. 24, 2024, 12:32 a.m.