Grid: Grid Distribution

In FME: A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis

Grid Distribution

Description

Generates parameter sets arranged on a regular grid.

Usage

Grid(parRange, num)

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.

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.

Value

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

Author(s)

Karline Soetaert <[e-mail]>

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

## 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")

FME documentation built on July 9, 2023, 5:59 p.m.