mtk (version 1.0)

report-methods: The report method

Description

Returns a detail report of the results produced by the process.

Usage

report(this)

Arguments

this

the underlying object of class mtkProcess

Value

The form of the value returned by report depends on the sub-class where the method is implemented.See the documentation of the particular sub-class for details of what is produced.By default, it prints the report on the display device and return invisible().

References

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.

Examples

# 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)
		report(exp1)
		
# Extract a process and report its results

		p <- getProcess(exp1, "analyze")
		report(p)