mtkRegressionAnalyser: The constructor of the class 'mtkRegressionAnalyser'

In mtk: Mexico ToolKit library (MTK)

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

an object of the 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)
	

mtk documentation built on May 2, 2019, 4:15 a.m.