| lhs {mc2d} | R Documentation |
Random Latin Hypercube Sampling
Description
Creates a Latin Hypercube Sample (LHS) of the specified distribution.
Usage
lhs(distr="runif", nsv=ndvar(), nsu=ndunc(), nvariates=1, ...)
Arguments
distr |
The function for generating random sample or its name. If ‘distr’ is "rdist", the function "qdist" must be the quantile function of this distribution with argument ‘p’ as a vector of probabilities, as all univariates distributions of the ‘stat’ library. |
nsv |
The number of rows of the final matrix. |
nsu |
The number of columns of the final matrix |
nvariates |
The number of variates |
... |
All arguments to be passed to ‘distr’ except the size of the sample. |
Value
A ‘nsv x nsu’ matrix of random variates.
Note
The resulting lhs is in fact a latin hypersquare sampling: the lhs is provided only in the first 2 dimensions.
It is not possible to send truncated distribution with
rtrunc. Use mcstoc for this purpose, with
‘lhs=TRUE’ and ‘rtrunc=TRUE’.
The ... arguments will be recycled.
Author(s)
adapted from a code of Rob Carnell (library ‘lhs’)
See Also
Examples
ceiling(lhs(runif, nsu=10, nsv=10)*10)