mtk (version 1.0)

summary,mtkProcess-method: The summary method

Description

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

Usage

summary(object, ...)

Arguments

object

the underlying object of class mtkProcess.

...

see the help for the function: base::summary().

Value

The form of the value returned by summary depends on the sub-class where the method is implemented.By default, it prints the report on the display device.

Details

1. The behavior of the print depends on the sub-class where the method is implemented.
2. See the documentation of the particular sub-class for details of what is produced.
3. Use methods("summary") to get all the methods for the summary generic.

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

# Carry out a sensitivity analysis with the Ishigami model

##	Input the factors
	data(Ishigami.factors)

##	Specify the experiments designer
	designer <- mtkNativeDesigner ("BasicMonteCarlo", 
		information=list(size=20))

##	Specify the model simulator
	model <- mtkIshigamiEvaluator()
	
##	Specify the sensiticity analyser
	analyser <- mtkNativeAnalyser("Regression", information=list(nboot=20) )

##	Specify the workflow
	ishiReg <- new("mtkExpWorkflow", expFactors=Ishigami.factors,
		   processesVector=c(
				              design=designer,
				              evaluate=model,
				              analyze=analyser)
			  				)
## Run and report a summary of the results produced by the workflow
	run(ishiReg)
	summary(ishiReg)