Description Usage Arguments Details Value Author(s) References Examples
The WSP (Wooton, Sergent, Phan-Tan-Luu) algorithm is an iterative algorithm based on suppression of some experiments from an initial design in each step. WSP leads to a space filling design
1 | wspDesign(design, dmin, init = "center")
|
design |
a matrix (or a data.frame) corresponding to the design of experiments |
dmin |
a minimum bound for mindist value of the final design |
init |
defines the initialization point (input coordinates) of the algorithm: "center" (default value) takes the central point of the domain "random" takes a random point inside the domain |
WSP enables to create a design D which is such that mindist(D)>dmin. However, it cannot assess the number of experiments. Similarly to straussDesign function, WSP is a powerful algorithm to construct space filling designs in high dimension
A list containing:
InitialDesign |
the starting design |
dmin |
minimum bound for mindist value of the final design |
design |
the matrix of the final design |
ResidualDesign |
the matrix of the residual design (points of InitialDesign not in design) |
G. Damblin & B. Iooss
J. Santiago, M. Claeys-Bruno, M.Sergent (2012). Construction of space filling designs using WSP algorithm for high dimensional spaces, Chenometrics and Intelligent Laboratory Systems, 113:26-31.
1 2 3 4 5 6 |
T1 T2
1 -0.19 -0.15
2 -1.80 1.19
3 -4.52 0.82
4 -4.58 3.10
5 -2.97 4.57
6 -0.70 4.00
7 1.65 4.68
8 3.75 4.10
9 6.00 6.15
10 9.34 7.21
11 8.88 9.41
12 4.78 9.98
13 2.53 8.13
14 0.35 7.76
15 -0.37 10.00
16 -2.02 7.77
17 -4.58 8.33
18 -7.80 8.46
19 -8.72 3.15
20 -6.56 -0.81
21 -8.61 -2.56
22 -8.34 -4.58
23 -6.34 -3.71
24 -4.44 -2.56
25 -4.05 -5.37
26 -5.48 -7.84
27 -9.28 -8.35
28 -1.74 -9.77
29 -1.10 -7.17
30 1.46 -7.54
31 3.90 -6.56
32 5.94 -6.25
33 8.02 -5.00
34 8.13 -2.35
35 8.10 0.34
36 5.54 -0.61
37 3.55 -1.49
38 0.18 -2.92
39 4.54 -10.00
40 8.85 -9.66
41 9.24 4.00
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