mtk (version 1.0)

mtkDefaultAnalyser: The constructor of the class mtkDefaultAnalyser

Description

This class is used when both the experimental design and the sensitivity analysis are fulfilled with the same method.

Usage

mtkDefaultAnalyser()

Value

mtkDefaultAnalyser class

References

J. Wang, H. Richard, R. Faivre, H. Monod (2013). Le package mtk, une bibliothèque R pour l'exploration numérique des modèles. In: Analyse de sensibilité et exploration de modèles : Application aux sciences de la nature et de l'environnement (R. Faivre, B. Iooss, S. Mahévas, D. Makowski, H. Monod, Eds). Editions Quae, Versailles.

Examples

# creates a designer and an analyser avec the method "Morris" 
# to analyze the model "Ishigami":

# Specify the factors to analyze:
	x1 <- make.mtkFactor(name="x1", distribName="unif",
	 distribPara=list(min=-pi, max=pi)) 
	x2 <- make.mtkFactor(name="x2", distribName="unif",
     distribPara=list(min=-pi, max=pi)) 
	x3 <- make.mtkFactor(name="x3", distribName="unif", 
     distribPara=list(min=-pi, max=pi)) 
	factors <- mtkExpFactors(list(x1,x2,x3)) 
	
# Build the processes:
#   1) the experimental design process with the method "Morris".
	exp1.designer <- mtkNativeDesigner(design="Morris", 
	      information=list(r=20,type="oat",levels=4,grid.jump=2)) 

#   2) the model simulation process with the model "Ishigami".
	exp1.evaluator <- mtkNativeEvaluator(model="Ishigami") 

#   3) the analysis process with the default method.
#      Here, it is the "Morris" method.
	exp1.analyser <- mtkDefaultAnalyser()

# Build the  workflow with the processes defined previously.
	exp1 <- mtkExpWorkflow(expFactors=factors,
	    processesVector = c(design=exp1.designer,
		evaluate=exp1.evaluator, analyze=exp1.analyser))
		
# Run the workflow and report the results.
	run(exp1)
	print(exp1)