mtk (version 1.0)

extractData-methods: The extractData method

Description

Gets the results produced by the workflow as a data.frame.

Usage

extractData(this,name)

Arguments

this

an object of the class mtkExpWorkflow.

name

a vector of strings from "design", "evaluate", or "analyze" to specify the results to return. i.e. name =c("design") returns the experimental design produced by the designer, name=c("design", "evaluate") returns both the experimental design produced by the designer and the model simulation produced by the evaluator.

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

# Build a workflow for sensitivity analysis with the model "Ishigami"

	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))


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

	ishiReg <- mtkExpWorkflow(expFactors=ishi.factors,
		   processesVector=c(design = designer,
				      evaluate = model,
				      analyze = analyser)
			  				)
	run(ishiReg)

	# extracts the results produced by the workflow as a data.frame:

	design <- extractData(ishiReg, "design")
	simulation <-  extractData(ishiReg, c("design", "evaluate"))