The extractData method

Description

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

Usage

1

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

a data.frame

Author(s)

Juhui WANG, MIA-Jouy, Inra, Juhui.Wang@jouy.inra.fr

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

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# 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"))

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