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 FunctionDefintion
FunctionDefinition fd = model.createFunctionDefinition();
fd.setId("mynormal");
ASTNode math = libsbml.parseFormula("lambda(param1, param2, 0)");
fd.setMath(math);
//
// Get a DistribFunctionDefinitionPlugin object plugged in the fd object.
//
// The type of the returned value of SBase::getPlugin() function is SBasePlugin, and
// thus the value needs to be casted for the corresponding derived class.
//
DistribFunctionDefinitionPlugin fdPlugin =
(DistribFunctionDefinitionPlugin)(fd.getPlugin("distrib"));
// create a DrawFromDistribution object
DrawFromDistribution draw = fdPlugin.createDrawFromDistribution();
// create the distribInputs
DistribInput input1 = draw.createDistribInput();
input1.setId("mu");
input1.setIndex(0);
DistribInput input2 = draw.createDistribInput();
input2.setId("sigma");
input2.setIndex(1);
// create the UncertMLNode object
UncertMLNode uncert = libsbml.createDistributionNode
("NormalDistribution", "mean, variance", "mu,sigma");
draw.setUncertML(uncert);
libsbml.writeSBMLToFile(document, "distrib_example1.xml");
}
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");
}
