Description Usage Arguments Value Examples
Create a graph of scaled prediction variances for points in nested cubes (hyperarcs)
1 2 | hyperarcs.vdg(design.matrix, design.matrix.2 = NULL, design.matrix.3 = NULL,
des.names = c("Design 1","Design 2","Design 3"))
|
design.matrix, design.matrix.2, design.matrix.3 |
Data frames of design points to be compared in coded or uncoded units. There should be one column for each factor in the design, and one row for each run in the design. The minimum and maximum number of factors are 3 and 6, respectively. |
des.names |
A vector of descriptive names for designs in character strings. |
hyperarcs.vdg
is called to generate a plot of scaled prediction variances on hyperarcs.
1 2 3 | CCD1<- gen.CCD(n.vars = 3, n.center = 2, alpha = 1)
CCD2<- gen.CCD(n.vars = 3, n.center = 5, alpha = 1)
hyperarcs.vdg(CCD1, CCD2)
|
$design.1
Hypercube Radius max.V min.V average.V
[1,] 0.00000000 3.586207 3.586207 3.586207
[2,] 0.07142857 3.580435 3.569478 3.576465
[3,] 0.14285714 3.565010 3.522950 3.549459
[4,] 0.21428571 3.545615 3.457595 3.511818
[5,] 0.28571429 3.531720 3.391699 3.474606
[6,] 0.35714286 3.536581 3.350495 3.453303
[7,] 0.42857143 3.577244 3.359007 3.467814
[8,] 0.50000000 3.674540 3.419262 3.542470
[9,] 0.57142857 3.921439 3.551247 3.706025
[10,] 0.64285714 4.376912 3.782270 3.991654
[11,] 0.71428571 5.067986 4.142223 4.436960
[12,] 0.78571429 6.055334 4.666386 5.083953
[13,] 0.85714286 7.443513 5.390398 5.979100
[14,] 0.92857143 9.398427 6.356985 7.173264
[15,] 1.00000000 11.936830 7.610453 8.721739
$design.2
Hypercube Radius max.V min.V average.V
[1,] 0.00000000 2.546392 2.546392 2.546392
[2,] 0.07142857 2.546272 2.545835 2.546088
[3,] 0.14285714 2.548653 2.546926 2.547565
[4,] 0.21428571 2.564587 2.555347 2.557992
[5,] 0.28571429 2.611359 2.580914 2.589316
[6,] 0.35714286 2.716789 2.637350 2.658266
[7,] 0.42857143 2.913411 2.742439 2.786340
[8,] 0.50000000 3.241626 2.917712 2.999832
[9,] 0.57142857 3.749356 3.188678 3.329803
[10,] 0.64285714 4.491896 3.584907 3.812094
[11,] 0.71428571 5.531911 4.139826 4.487328
[12,] 0.78571429 6.930780 4.890792 5.400892
[13,] 0.85714286 8.779611 5.879096 6.602987
[14,] 0.92857143 11.157122 7.149960 8.148564
[15,] 1.00000000 14.155290 8.752540 10.097360
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.