R help - Nov 2011 - AlgDesign - $D $A $Ge $Dea

Hi,

I am wondering how I should interpreate the output of optFederov() in AlgDesign.

Specially I want to know what is $D, $A, $Ge and $Dea, which one I can use as an
efficiency to say how good the optimal design is.

I only know when a orthogonal design comes, $D = 1.

I red the pdf document    --   vignette("AlgDesign")

[Just type: vignette("AlgDesign") in R, you will get this pdf
document]

On page 20 section 4.2.1.3, it says: the D and G efficiencies of the following
... are 98% and 89%.

I tried the code as shown on page 20 a few times and output showed different
designs but the figure of $D, $A, $Ge and $Dea are similar. I don't see $D
is close to 0.98, but $Ge is 0.89. One of the output as below:



> dat = gen.factorial(3, 3, center = T, varNames = c("A",
"B", "C"))
> desC = optFederov(~quad(A,B,C), dat, nT = 14, evaluateI = T, nR = 100)
> desC
$D
[1] 0.4630447

$A
[1] 3.22

$I
[1] 9.945833

$Ge
[1] 0.893

$Dea
[1] 0.887

$design
    A  B  C
1  -1 -1 -1
3   1 -1 -1
5   0  0 -1
7  -1  1 -1
9   1  1 -1
11  0 -1  0
13 -1  0  0
15  1  0  0
17  0  1  0
19 -1 -1  1
21  1 -1  1
23  0  0  1
25 -1  1  1
27  1  1  1

$rows
 [1]  1  3  5  7  9 11 13 15 17 19 21 23 25 27
 
Thanks very much!
J
 		 	   		  
	[[alternative HTML version deleted]]

See
?AlgDesign::optFederov

and look for the 'Value' section, where these elements of the output
list are defined.

Dennis

On Wed, Nov 23, 2011 at 7:15 PM, ?? ? <tszhenzhenj at hotmail.com>
wrote:
>
> Hi,
>
> I am wondering how I should interpreate the output of optFederov() in
AlgDesign.
>
> Specially I want to know what is $D, $A, $Ge and $Dea, which one I can use
as an efficiency to say how good the optimal design is.
>
> I only know when a orthogonal design comes, $D = 1.
>
> I red the pdf document ? ?-- ? vignette("AlgDesign")
>
> [Just type: vignette("AlgDesign") in R, you will get this pdf
document]
>
> On page 20 section 4.2.1.3, it says: the D and G efficiencies of the
following ... are 98% and 89%.
>
> I tried the code as shown on page 20 a few times and output showed
different designs but the figure of $D, $A, $Ge and $Dea are similar. I
don't see $D is close to 0.98, but $Ge is 0.89. One of the output as below:
>
>
>
>
>> dat = gen.factorial(3, 3, center = T, varNames = c("A",
"B", "C"))
>> desC = optFederov(~quad(A,B,C), dat, nT = 14, evaluateI = T, nR = 100)
>> desC
> $D
> [1] 0.4630447
>
> $A
> [1] 3.22
>
> $I
> [1] 9.945833
>
> $Ge
> [1] 0.893
>
> $Dea
> [1] 0.887
>
> $design
> ? ?A ?B ?C
> 1 ?-1 -1 -1
> 3 ? 1 -1 -1
> 5 ? 0 ?0 -1
> 7 ?-1 ?1 -1
> 9 ? 1 ?1 -1
> 11 ?0 -1 ?0
> 13 -1 ?0 ?0
> 15 ?1 ?0 ?0
> 17 ?0 ?1 ?0
> 19 -1 -1 ?1
> 21 ?1 -1 ?1
> 23 ?0 ?0 ?1
> 25 -1 ?1 ?1
> 27 ?1 ?1 ?1
>
> $rows
> ?[1] ?1 ?3 ?5 ?7 ?9 11 13 15 17 19 21 23 25 27
>
> Thanks very much!
> J
>
> ? ? ? ?[[alternative HTML version deleted]]
>
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