UniDOE (version 1.0.2)

GenLP: Generating uniform designs by level permutation

Description

Function for generating uniform designs by level permutation. It can be also used to improve a user-specified design with randomized level permutation.

Usage

GenLP(X0, crit, maxiter, hits_ratio, vis)

Arguments

X0

Current design

crit

an character R object. Type of criterion to use.

"maximin" -- maximin Discrepancy ;

"CL2" --Centered L2 Discrepancy ;

"WD2" -- Wrap-around L2 Discrepancy;

"MD2" --Mixture L2 Discrepancy ;

maxiter

a positive integer R object

hits_ratio

an float R object. Default value is 0.1, which is the ratio to accept changes of design in inner for loop. Details can be checked in (Zhang, A. and Li, H. (2017). UniDOE: An R package for constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm. Technical Report.)

vis

an boolean R object. If true, plot the criterion value sequence.

Value

A list that contains Initial design matrix(initial_design),optimal design matrix(final_design), initial criterion value(initial_criterion), final criterion value(criterion_value) and criterion list(criterion_lists) in update process.

References

Zhang, A. and Li, H. (2017). UniDOE: An R package for constructing uniform design of experiments via stochastic and adaptive threshold accepting algorithm. Technical Report.

Examples

# NOT RUN {
  n=27#(must be multiples of q)
  s=13
  q=3
  crit = "MD2" #(Mixture L2 criteria)
  res1 = GenUD(n,s,q,crit=crit,maxiter=100)
  res2 = GenLP(res1$final_design,vis=TRUE, maxiter=100) # To improve ...
# }