Learn R Programming

FME (version 1.3.6.3)

Grid: Grid Distribution

Description

Generates parameter sets arranged on a regular grid.

Usage

Grid(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 <karline.soetaert@nioz.nl>

Details

The grid design produces the most regular parameter distribution; there is no randomness involved. The number of parameter sets generated with Grid will be <= num.

See Also

Norm for (multi)normally distributed random parameter sets.

Latinhyper to generates parameter sets using latin hypercube sampling.

Unif for uniformly distributed random parameter sets.

seq the R-default for generating regular sequences of numbers.

Examples

Run this code

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

## grid
pairs(Grid(parRange, 500), main = "Grid")

Run the code above in your browser using DataLab