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.

- radio buttons
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.- name of design
must be a valid name. The design itself is created under this name in the R workspace.

- number of runs
must be provided and can be any positive integer.

- number of factors
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.- number of decimal places
can be provided for rounding (as in function

`round`

).- seed
can be provided for reproducing an existing design.

Ulrike Groemping

See Also `lhs.design`

for the function that does the calculations
and `lhs-package`

for the package used in that function.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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