Statistics Toolbox

candgen

Generate candidate set for D-optimal design

Syntax

• xcand = candgen(nfactors,'model')
  [xcand,fxcand] = candgen(nfactors,'model')
  

Description

xcand = candgen(nfactors,'model') generates a candidate set appropriate for a D-optimal design with nfactors factors and the model model. The output matrix xcand has nfactors columns, with each row representing the coordinates of a candidate point. model is one of:

'linear'	Constant and linear terms (the default)
'interaction'	Constant, linear, and cross product terms
'quadratic'	Interactions plus squared terms
'purequadratic'	Constant, linear, and squared terms

Alternatively, model can be a matrix of term definitions as accepted by the x2fx function.

[xcand,fxcand] = candgen(nfactors,model) returns both the matrix of factor values xcand and the matrix of term values fxcand. You can input the latter to candexch to generate the D-optimal design.

Note    The rowexch function automatically generates a candidate set using candgen, and creates a D-optimal design from that candidate set using candexch. Call these functions separately if you want to modify the default candidate set.

See Also

candexch, rowexch, x2fx

candexch

canoncorr