# randomLHS

From lhs v1.0.1
0th

Percentile

##### 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

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

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

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