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.
randomLHS(n, k, preserveDraw = FALSE)
| 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? |
a Latin hypercube sample
a <- randomLHS(5, 3)