Learn R Programming

mtk (version 1.0)

Ishigami.factors: Input factors of the Ishigami model

Description

The names and uncertainty distributions of the 3 input factors x1, x2, x3 involved in the Ishigami function which is usually used as a model example for uncertainty and sensitivity analysis methods.

Usage

data(Ishigami.factors)

Arguments

Format

an object of class mtkExpFactors.

References

Saltelli, A., Chan, K., & Scott, E. M. (Eds.). (2000). Sensitivity analysis (Vol. 134). New York: Wiley.

See Also

help(Ishigami), help(ishigami.fun,sensitivity)

Examples

Run this code
# The code used to generate the Ishigami.factors is as follows:

	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))
     
	Ishigami.factors <- mtkExpFactors(list(x1,x2,x3))
	
# To import the Ishigami.factors, just use the following line
	data(Ishigami.factors)

Run the code above in your browser using DataLab