Description Usage Arguments Value Author(s) References Examples
Adds a process to the workflow.
1 | addProcess(this,p,name)
|
this |
an object of the class |
p |
an object of the class |
name |
a string from "design", "evaluate", or "analyze" to specify the type of process to add. |
invisble()
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 37 38 39 | # 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))
# Create a workflow to manager the processes used for the analysis task
ishiReg <- mtkExpWorkflow(expFactors=ishi.factors)
# Create a designer to generate the experiments design and
# put the designer under control of the workflow
designer <- mtkNativeDesigner("BasicMonteCarlo",
information=list(size=20))
addProcess(ishiReg, designer, name="design")
# Creates an evaluator and add it to the workflow
model <- mtkNativeEvaluator("Ishigami" )
addProcess(ishiReg, model, name="evaluate")
# Create a analyser and add it to the workflow
analyser <- mtkNativeAnalyser("Regression" )
addProcess(ishiReg, analyser, name="analyze")
# Run the workflow and reports the results
run(ishiReg)
summary(ishiReg)
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