Description Usage Arguments Details Value Author(s) References Examples
Returns the results produced by the process as an object of the class mtkResult
or its sub-classes.
1 | getResult(this)
|
this |
the underlying object of class |
Sub-class of the class mtkProcess
returns objects of different sub-class of the class mtkResult
.
For instance, an object of the class mtkDesigner
returns an object of the class mtkDesignerResult
.
To fetch the results as a data.frame, please use the method getData()
.
an object of the class mtkResult
.
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 29 30 31 32 33 34 35 36 | # Create a designer and an analyser avec the method "Morris"
# to analyze the model "Ishigami":
# Specify the factors to analyze:
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))
factors <- mtkExpFactors(list(x1,x2,x3))
# Builds the processes:
# 1) the experimental design process with the method "Morris".
exp1.designer <- mtkNativeDesigner(design="Morris",
information=list(r=20,type="oat",levels=4,grid.jump=2))
# 2) the model simulation process with the model "Ishigami".
exp1.evaluator <- mtkNativeEvaluator(model="Ishigami")
# 3) the analysis process with the default method.
# Here, it is the Morris method.
exp1.analyser <- mtkDefaultAnalyser()
# Build the workflow with the processes defined previously.
exp1 <- mtkExpWorkflow(expFactors=factors,
processesVector = c(design=exp1.designer,
evaluate=exp1.evaluator, analyze=exp1.analyser))
# Run the workflow and report the results.
run(exp1)
# Extracts the results produced by the analysis process as an objet of the class mtkAnalyserResult.
getResult(getProcess(exp1, "analyze"))
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