Grid Distribution
Generates parameter sets arranged on a regular grid.
Grid(parRange, num)
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. |
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.
a matrix with one row for each generated parameter set, and one column per parameter.
Karline Soetaert <karline.soetaert@nioz.nl>
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.
## 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")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.