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///**
// * @file createStatisticsExample.cs
// * @brief SBML distrib example
// * @author Sarah Keating
// *
// *
// * <!--------------------------------------------------------------------------
// * This file is part of libSBML. Please visit http://sbml.org for more
// * information about SBML, and the latest version of libSBML.
// *
// * Copyright (C) 2009-2013 jointly by the following organizations:
// * 1. California Institute of Technology, Pasadena, CA, USA
// * 2. EMBL European Bioinformatics Institute (EBML-EBI), Hinxton, UK
// *
// * Copyright (C) 2006-2008 by the California Institute of Technology,
// * Pasadena, CA, USA
// *
// * Copyright (C) 2002-2005 jointly by the following organizations:
// * 1. California Institute of Technology, Pasadena, CA, USA
// * 2. Japan Science and Technology Agency, Japan
// *
// * This library is free software; you can redistribute it and/or modify it
// * under the terms of the GNU Lesser General Public License as published by
// * the Free Software Foundation. A copy of the license agreement is provided
// * in the file named "LICENSE.txt" included with this software distribution
// * and also available online as http://sbml.org/software/libsbml/license.html
// * ------------------------------------------------------------------------ -->
// */
using System;
using libsbmlcs;
public class CreateNormalExample
{
static void Main(string[] args)
{
SBMLNamespaces sbmlns = new SBMLNamespaces(3, 1, "distrib", 1);
SBMLDocument document = new SBMLDocument(sbmlns);
// set the required attribute to true
DistribSBMLDocumentPlugin docPlug = (DistribSBMLDocumentPlugin)
(document->getPlugin("distrib"));
docPlug.setRequired(true);
// create the Model
Model model = document.createModel();
// create the Parameter
Parameter p = model.createParameter();
p.setId("V");
p.setConstant(true);
//
// Get a DistribSBasePlugin object plugged in the parameter object.
//
DistribSBasePlugin pPlugin =
(DistribSBasePlugin)(p.getPlugin("distrib"));
// create a Uncertainty object
Uncertainty uncert = pPlugin.createUncertainty();
// create the UncertMLNode object
UncertMLNode uncertML = libsbml.createDistributionNode
("Statistics", "Mean, Variance", "V_pop, V_omega");
uncert.setUncertML(uncertML);
libsbml.writeSBMLToFile(document, "distrib_example2.xml");
}
}
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