Description Usage Arguments Value Author(s) References Examples
Gets the results produced by the workflow as a data.frame.
1 | extractData(this,name)
|
this |
an object of the class |
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. |
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 | # 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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