Description Usage Arguments Value Author(s) References Examples
Returns the results produced by the process as a data.frame.
1 | getData(this)
|
this |
an object of the class |
a data.frame.
Juhui WANG, MIA-Jouy, Inra, Juhui.Wang@jouy.inra.fr
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | ## 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)
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