sensitivity (version 1.2)

testmodels: Test Models For Sensitivity Analysis

Description

These functions are standard testcase for sensitivity analysis benchmarks. There are: the g-function of Sobol, the function of Ishigami and the function of Morris.

Usage

sobol.fun(x)
ishigami.fun(x)
morris.fun(x)

Arguments

x

the matrix or data.frame containing the input values.

Value

• All these functions return a numeric vector containig the values of the function.

References

Saltelli, A., Chan, K. and Scott, E. M., 2000, Sensitivity analysis. Wiley, 33--45.

See Also

sensitivity

Examples

# Scatterplots for Sobol g-function versus X1 and X2

n <- 2000
x <- matrix(nr = n, nc = 8)
for (i in 1:8)
  x[, i] <- runif(n)

y <- sobol.fun(x)

plot(x[, 1], y)
plot(x[, 2], y)

# Scatterplots for the Ishigami function versus X1, X2 and X3

n <- 2000
x <- matrix(nr = n, nc = 3)
for (i in 1:3)
  x[, i] <- runif(n, min = -pi, max = pi)

y <- ishigami.fun(x)

plot(x[, 1], y)
plot(x[, 2], y)
plot(x[, 3], y)