latin.hypercube

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Percentile

Latin hypercube design matrix

Gives a Latin hypercube design matrix with an arbitrary number of points in an arbitrary number of dimensions. The toy dataset was generated using latin.hypercube().

Keywords
models
Usage
latin.hypercube(n, d, normalize=FALSE)
Arguments
n
Number of points
d
Number of dimensions
normalize
Boolean variable with TRUE meaning to normalize each column so the minimum is zero and the maximum is one. If it takes its default FALSE, the points represent midpoints of $n$ equispaced intervals; the points thus ha
Aliases
  • latin.hypercube
Examples
#10 points, 6 dimensions:
(latin.hypercube(10,6) -> x)
plot(as.data.frame(x))
Documentation reproduced from package emulator, version 1.1-5, License: GPL

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