# randomLHS

From lhs v1.0.1
by Rob Carnell

##### Construct a random Latin hypercube design

`randomLHS(4,3)`

returns a 4x3 matrix with each column
constructed as follows: A random permutation of (1,2,3,4) is
generated, say (3,1,2,4) for each of K columns. Then a uniform
random number is picked from each indicated quartile. In this
example a random number between .5 and .75 is chosen, then one between
0 and .25, then one between .25 and .5, finally one between
.75 and 1.

##### Usage

`randomLHS(n, k, preserveDraw = FALSE)`

##### Arguments

- n
the number of rows or samples

- k
the number of columns or parameters/variables

- preserveDraw
should the draw be constructed so that it is the same for variable numbers of columns?

##### Value

a Latin hypercube sample

##### Examples

```
# NOT RUN {
a <- randomLHS(5, 3)
# }
```

*Documentation reproduced from package lhs, version 1.0.1, License: GPL-3*

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