PhipMeasure {CompExpDes} | R Documentation |
For a given design Phi_p criterion is calculated. It is based on Morris and Mitchell (1995). When the designs are not in [0,1]^d form, lesser the value of Phi_p criterion better it is.
PhipMeasure(design,p=15,q=2)
design |
A design matrix is needed |
p |
Any positive integer. Default value of p = 15. |
q |
Any positive integer. Default value of q = 2. This implies that we are considering here Euclidean distance. |
Generates Phi_p criterion value
Ashutosh Dalal, Cini Varghese, Rajender Parsad and Mohd Harun
Morris, M.D. and Mitchell, T.J. (1995). Exploratory designs for computer experiments. Journal of Statistical Planning and Inference, 43, 38-402.
library(CompExpDes)
lhd<-matrix(c(1,5,7,3,4,2,6,2,1,4,5,3,7,6,4,5,6,1,2,3,7),nrow=7,ncol=3,byrow=FALSE)
PhipMeasure(lhd,p=15,q=2)