mtk (version 1.0)

mtkRegressionAnalyser: The constructor of the class mtkRegressionAnalyser

Description

The constructor

Usage

mtkRegressionAnalyser( 
	mtkParameters = NULL, 
	listParameters = NULL
	)

Arguments

mtkParameters

a vector of [mtkParameter] representing the parameters necessary to run the process.

listParameters

a named list containing the parameters to pass while calling the process. This gives another way to specify the parameters.

Value

mtkRegressionAnalyser class

See Also

help(morris, sensitivity) and help(Regression)

Examples

## Sensitivity analysis of the "Ishigami" model with the "Monte-Carlo" and "Regression" methods


#	Generate the factors
		data(Ishigami.factors)
		
# 	Build the processes and workflow:

#   1) the design process
		exp.designer <- mtkBasicMonteCarloDesigner (listParameters=list(size=20))

#   2) the simulation process
		exp.evaluator <- mtkIshigamiEvaluator() 

#   3) the analysis process 
		exp.analyser <- mtkRegressionAnalyser(listParameters=list(nboot=20) )

#   4) the workflow

		exp1 <- mtkExpWorkflow(expFactors=Ishigami.factors,
	    processesVector = c(design=exp.designer,
		evaluate=exp.evaluator, analyze=exp.analyser))

# 	Run the workflow and report the results.
		run(exp1)
		print(exp1)