plot_multiscatter: Pairwise combinations of model inputs with the colour...

In sensobol: Computation of Variance-Based Sensitivity Indices

Pairwise combinations of model inputs with the colour proportional the model output value.

Description

It plots all pairwise combinations of model inputs with the colour proportional the model output value.

Usage

plot_multiscatter(data, N, Y, params, smpl = NULL)

Arguments

data	The matrix created with sobol_matrices.
N	Positive integer, the initial sample size of the base sample matrix created with sobol_matrices.
Y	A numeric vector with the model output obtained from the matrix created with sobol_matrices.
params	Character vector with the name of the model inputs.
smpl	The number of simulations to plot. The default is NULL.

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 scatterplot matrix
plot_multiscatter(data = mat, N = N, Y = Y, params = params)

sensobol documentation built on May 29, 2024, 10:05 a.m.