Uniform Random Distribution
Generates uniformly distributed random parameter sets.
Unif(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) value. |
num |
the number of random parameter sets to generate. |
In the uniform sampling, each parameter is uniformly random distributed over its range.
a matrix with one row for each generated parameter set, and one column per parameter.
For small sample sizes, the latin hypercube distributed parameter sets
(Latinhyper) may give better coverage in parameter space
than the uniform random design.
Karline Soetaert <karline.soetaert@nioz.nl>
Norm for (multi)normally distributed random parameter sets.
Latinhyper to generates parameter sets using
latin hypercube sampling.
Grid to generate random parameter sets arranged on a
regular grid
runif the R-default for generating uniformally distributed
random 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")
## uniform
pairs(Unif(parRange, 100), main = "Uniformly random")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.