# latin.hypercube

From emulator v1.1-5
by Robin K S Hankin

##### 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

##### 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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