Description Usage Arguments Author(s) References Examples
Runs a task defined in a process or workflow.
Examples classes in which this function is implemented are the following:
[mtkParsor
], [mtkExpWorkflow
], [mtkProcess
] and their sub-classes .
Examples of "run" are:
run(this, context)
"this" is an object of class [mtkNativeDesigner
], and "context" is an object of class [mtkExpWorkflow
].
run(this, context)
"this" is an object of class [mtkParsor
], and "context" is an object of class [mtkExpWorkflow
].
1 | run(this,context)
|
this |
an object corresponding to the task to launch. It may be an object of the following classes: [ |
context |
missing or an object specifying the context which manages the task. It may be an object of the following classes: [ |
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 | # 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))
# Build 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 plot the results.
run(exp1)
print(exp1)
|
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