Cond_Moments: Conditional statistical moments of a model output

In cagarciae/GSA.UN: Global Sensitivity Analysis Tool

Conditional statistical moments of a model output

Description

This function evaluates the first four statistical moments after grouping the model output by different parametric ranges.

Usage

Cond_Moments(parameters_set, out_set, pp_names, steps = 100)

Arguments

parameters_set	matrix of dimensions n x pp, where n is the number of runs and pp is the number of parameters.
out_set	matrix of dimensions n x t, where n is the number of runs and t is the number of temporary steps.
pp_names	vector that contains the names of the parameters.
steps	number of divisions of the parametric range.

Value

A list of arrays, each array has dimensions of steps, t, pp.

Author(s)

Camila Garcia-Echeverri <[e-mail]>
Maria Cristina Areas-Bautista <[e-mail]>

Hydrodynamics of the natural media research group - HYDS National University of Colombia - Bogota

Examples

data("parameters_set", "out_set", "pp_names")

CM <- Cond_Moments(parameters_set, out_set, pp_names, steps=15)

cagarciae/GSA.UN documentation built on Aug. 25, 2022, 11:55 p.m.