MDLEs {SOAs} | R Documentation |
Function to create maximin distance level expanded arrays
Description
Maximin distance level expansion similar to Xiao and Xu is implemented, using an optimization algorithm that is less demanding than the TA algorithm of Xiao and Xu
Usage
MDLEs(
oa,
ell,
noptim.rounds = 1,
optimize = TRUE,
noptim.oa = 1,
dmethod = "manhattan",
p = 50
)
Arguments
oa |
matrix or data.frame that contains an ingoing symmetric OA. Levels must be denoted as 0 to s-1 or as 1 to s. |
ell |
the multiplier for each number of levels |
noptim.rounds |
the number of optimization rounds; optimization may take very long, therefore the default is 1, although more rounds are beneficial. |
optimize |
logical: if |
noptim.oa |
integer: number of optimization rounds applied to initial oa itself before starting expansion |
dmethod |
distance method for |
p |
p for |
Details
The ingoing oa is possibly optimized for space-filling, using function phi_optimize
with noptim.oa
optimization rounds. The expansions themselves are again optimized for improving phi_p,
using an algorithm which is a variant of Weng (2014), instead of the more powerful but also much more demanding
algorithm proposed by Xiao and Xu.
Value
A matrix of class MDLE
with attributes
- phi_p
the phi_p value that was achieved
- type
MDLE
- optimized
logical: same as the input parameter
- call
the call that produced the matrix
- permpick
matrix of lists of length
s
with elements from 0 toell
-1;
matrix element (i,j) contains the sequence of replacements used in functionDcFromDp
for constructing the level expansion of the ith level in the jth column
Author(s)
Ulrike Groemping
References
For full detail, see SOAs-package
.
Weng (2014)
Xiao and Xu (2018)
Examples
dim(aus <- MDLEs(DoE.base::L16.4.5, 2, noptim.rounds = 1))
permpicks <- attr(aus, "permpick")
## for people interested in internal workings:
## the code below produces the same matrix as MDLEs
SOAs:::DcFromDp(L16.4.5-1, 4,2, lapply(1:5, function(obj) permpicks[,obj]))