lhs: Random Latin Hypercube Sampling

Description Usage Arguments Value Note Author(s) See Also Examples

View source: R/lhs.R

Description

Creates a Latin Hypercube Sample (LHS) of the specified distribution.

Usage

1
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 raws 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

mcstoc

Examples

1
ceiling(lhs(runif, nsu=10, nsv=10)*10)

Example output

Loading required package: mvtnorm

Attaching package: 'mc2d'

The following objects are masked from 'package:base':

    pmax, pmin

  [1]  7  9  8  6  3  2  4  5 10  1  9  7  1  4  8  6 10  5  2  3  6  5 10  3  4
 [26]  8  1  9  7  2  1  4  2  9  7  8 10  6  5  3 10  3  2  9  1  5  4  7  6  8
 [51]  5  1 10  8  4  3  9  6  7  2  6  7 10  2  3  4  1  8  9  5  8  2 10  5  4
 [76]  9  7  1  3  6  4  7  8  2  9 10  6  3  5  1  2 10  4  8  3  6  5  7  9  1

mc2d documentation built on July 5, 2021, 5:09 p.m.