FME (version 1.3.6.3)

Latinhyper: Latin Hypercube Sampling

Description

Generates random parameter sets using a latin hypercube sampling algorithm.

Usage

Latinhyper(parRange, num)

Value

a matrix with one row for each generated parameter set, and one column per parameter.

Arguments

parRange

the range (min, max) of the parameters, a matrix or a data.frame with one row for each parameter, and two columns with the minimum (1st) and maximum (2nd) column.

num

the number of random parameter sets to generate.

Author

Karline Soetaert <[e-mail]>

Details

In the latin hypercube sampling, the space for each parameter is subdivided into num equally-sized segments and one parameter value in each of the segments drawn randomly.

References

Press, W. H., Teukolsky, S. A., Vetterling, W. T. and Flannery, B. P. (2007) Numerical Recipes in C. Cambridge University Press.

See Also

Norm for (multi)normally distributed random parameter sets.

Unif for uniformly distributed random parameter sets.

Grid to generate random parameter sets arranged on a regular grid.

Examples

## 4 parameters
parRange <- data.frame(min = c(0, 1, 2, 3), max = c(10, 9, 8, 7))
rownames(parRange) <- c("par1", "par2", "par3", "par4")

## Latin hypercube
pairs(Latinhyper(parRange, 100), main = "Latin hypercube")