LatinHyperCubeDesign Routine

Summary

Latin Hyper-Cube design.

Declaration

Procedure LatinHyperCubeDesign(X: TMtx; n, p: Integer; smooth: boolean = true; IterCriteria: TLHCImprove = lhcImproveMinDist; MaxIter: Integer = 4);

Parameter	Description
X	Stores experimental design values (rows representing values, columns variables).
n	Defines the number of values for specific variable.
p	Defines the number of variables.
smooth	If true, generate random values for n random (permuted) values are distributed per one point in intervals (0,1/n),(1/n,2/n)... ((n-1)/n,n). If false, produce the points in the middle of define intervals i.e. 0.5/n, 1.5/n, ... .
IterCriteria	The criteria for design improvement.
MaxIter	Maximum number of iterations used for improving the design.

Description

Generates n x p samples for Latin Hypercube experimental design.

Example 1

  Use MtxExpr, Statistics;
  procedure Example;
  var e: Matrix;
  begin
    // 50 values for each of 3 variables
    LatinHyperCubeDesign(e,50,3);
  end;

  #include "MtxVecCpp.h"
  #include "Statistics.hpp"
  void __fastcall Example()
  {
    Matrix e;
    LatinHyperCubeDesign(e,50,3);
  }

  using Dew.Math;
  using Dew.Stats.Units;
  using Dew.Stats;
  namespace Dew.Examples
  {
    private void Example()
    {
      Matrix e = new Matrix(0,0);
      Statistics.LatinHyperCubeDesign(e,50,3,true,TLHCImprove.lhcImproveMinDist, 4);
    }
  }