mtk (version 1.0)

getData-methods: The getData method

Description

Returns the results produced by the process as a data.frame.

Usage

getData(this)

Arguments

this

an object of the class mtkProcess or its sub-classes

Value

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

## Example: Sensitivity analysis for the Ishigami model

# Define the factors
	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))
	ishi.factors <- mtkExpFactors(list(x1,x2,x3))

# Build the processes
	designer <- mtkNativeDesigner("BasicMonteCarlo", 
            information=list(size=20))
	model <- mtkNativeEvaluator("Ishigami" )
	analyser <- mtkNativeAnalyser("Regression", information=list(nboot=20) )

# Build the workflow and run it
	ishiReg <- mtkExpWorkflow(expFactors=ishi.factors,
		   processesVector=c( design=designer,
				      evaluate=model,
				      analyze=analyser)
			  				)
	run(ishiReg)

# Extract as a data.frame the experiment design:
	designer <- getProcess(ishiReg, "design")
	expDesign <- getData(designer)