Basic information for latin hypercube samples
Latin hypercube designs try to fill the multidimensional space
spanned by several quantitative response variables.
Space filling is attempted by different methods
(the simplest and least effective of which is a random sample.
For more information, look at
the help file for function
lhs.design from package DoE.wrapper.
allow to choose among different design types. The default choice
optimum) is reasonable, if it is feasible.
random should only be used
for a quick random look, of course no space-filling optimality can be expected
by a random selection. For the other variants and the optimality criterion,
see the help of the underlying function.
must be a valid name. The design itself is created under this name in the R workspace.
must be provided and can be any positive integer.
must always be specified. Although not very reasonable,
it is possible to choose the number of factors larger than the number of runs.
The number of factors must match the number of entries on the Factor Details tab.
can be provided for rounding (as in function
can be provided for reproducing an existing design.
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