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    <title>topic Help using %Mktex/discrete choice suite for blended branded design in Mathematical Optimization, Discrete-Event Simulation, and OR</title>
    <link>https://communities.sas.com/t5/Mathematical-Optimization/Help-using-Mktex-discrete-choice-suite-for-blended-branded/m-p/67947#M493</link>
    <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
I'm trying to construct a choice experiment design that isn't a true branded application and I can't seem to find an example on the Internet for it.&lt;BR /&gt;
&lt;BR /&gt;
I have 3 brands: BrandA, BrandB, BrandC. Each brand has a specific price vector assigned to it. All other product attributes are the same (or will be the same in testing).&lt;BR /&gt;
&lt;BR /&gt;
Ex: BrandA has prices from $1.5 to $3.5; BrandB has prices from $3.5 to $7; BrandC has prices from $5 to $9. Color options are red, blue, and yellow for all the brands. Size options are 5oz, 6oz, and 7oz for all the brands. Etc.&lt;BR /&gt;
&lt;BR /&gt;
I tried following a generic experimental design with the following code, but it doesn't give me what I need, and the d-efficiency score is extremely low:&lt;BR /&gt;
&lt;BR /&gt;
%mktruns (3**2 3 3 3 3 3 3 8);&lt;BR /&gt;
%mktex(3**8 8, n=72, seed=3);&lt;BR /&gt;
%mktlab(data=design, int=f1-f2);&lt;BR /&gt;
%choiceff(data=final, model=class(x1-x9),nsets=72,flags=f1-f2,beta=zero,options=nodups,maxiter=50,seed=3);&lt;BR /&gt;
&lt;BR /&gt;
If I try to use the branded design, it also gives me something funny.&lt;BR /&gt;
&lt;BR /&gt;
Any advice would be much appreciated.&lt;BR /&gt;
&lt;BR /&gt;
Thanks.</description>
    <pubDate>Tue, 06 Jan 2009 15:09:08 GMT</pubDate>
    <dc:creator>ame_kurenai</dc:creator>
    <dc:date>2009-01-06T15:09:08Z</dc:date>
    <item>
      <title>Help using %Mktex/discrete choice suite for blended branded design</title>
      <link>https://communities.sas.com/t5/Mathematical-Optimization/Help-using-Mktex-discrete-choice-suite-for-blended-branded/m-p/67947#M493</link>
      <description>Hi,&lt;BR /&gt;
&lt;BR /&gt;
I'm trying to construct a choice experiment design that isn't a true branded application and I can't seem to find an example on the Internet for it.&lt;BR /&gt;
&lt;BR /&gt;
I have 3 brands: BrandA, BrandB, BrandC. Each brand has a specific price vector assigned to it. All other product attributes are the same (or will be the same in testing).&lt;BR /&gt;
&lt;BR /&gt;
Ex: BrandA has prices from $1.5 to $3.5; BrandB has prices from $3.5 to $7; BrandC has prices from $5 to $9. Color options are red, blue, and yellow for all the brands. Size options are 5oz, 6oz, and 7oz for all the brands. Etc.&lt;BR /&gt;
&lt;BR /&gt;
I tried following a generic experimental design with the following code, but it doesn't give me what I need, and the d-efficiency score is extremely low:&lt;BR /&gt;
&lt;BR /&gt;
%mktruns (3**2 3 3 3 3 3 3 8);&lt;BR /&gt;
%mktex(3**8 8, n=72, seed=3);&lt;BR /&gt;
%mktlab(data=design, int=f1-f2);&lt;BR /&gt;
%choiceff(data=final, model=class(x1-x9),nsets=72,flags=f1-f2,beta=zero,options=nodups,maxiter=50,seed=3);&lt;BR /&gt;
&lt;BR /&gt;
If I try to use the branded design, it also gives me something funny.&lt;BR /&gt;
&lt;BR /&gt;
Any advice would be much appreciated.&lt;BR /&gt;
&lt;BR /&gt;
Thanks.</description>
      <pubDate>Tue, 06 Jan 2009 15:09:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Mathematical-Optimization/Help-using-Mktex-discrete-choice-suite-for-blended-branded/m-p/67947#M493</guid>
      <dc:creator>ame_kurenai</dc:creator>
      <dc:date>2009-01-06T15:09:08Z</dc:date>
    </item>
    <item>
      <title>Re: Help using %Mktex/discrete choice suite for blended branded design</title>
      <link>https://communities.sas.com/t5/Mathematical-Optimization/Help-using-Mktex-discrete-choice-suite-for-blended-branded/m-p/67948#M494</link>
      <description>You can email me (saswfk at sas dot come) if this does not help.  This seems to be an approach to do what you want.  Do not expect a large efficiency value from choiceff.  In pre-9.2, it is not on a useful scale.  This all changes in 9.2 (at least for some problems) and is discussed in detail in my new book, which is not released yet.  I can however on request provide a sneak preview of one of the most useful chapters in this regard.&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
%mktex( 3 3 3 , n=27 )&lt;BR /&gt;
&lt;BR /&gt;
data cand(drop=x1-x3);&lt;BR /&gt;
   retain f1-f2 1;&lt;BR /&gt;
   set design;&lt;BR /&gt;
   color = scan('red blue yellow', x2);&lt;BR /&gt;
   size  = scan('5oz 6oz 7oz', x3);&lt;BR /&gt;
   brand = 'A';   price = 2   * (x1 - 1) / 2 + 1.5;   output;&lt;BR /&gt;
   brand = 'B';   price = 3.5 * (x1 - 1) / 2 + 3.5;   output;&lt;BR /&gt;
   brand = 'C';   price = 4   * (x1 - 1) / 2 + 5.0;   output;&lt;BR /&gt;
   run;&lt;BR /&gt;
   &lt;BR /&gt;
proc print; run;&lt;BR /&gt;
&lt;BR /&gt;
%choiceff(data=cand, model=class(brand price color size), nsets=72, flags=f1-f2,&lt;BR /&gt;
          beta=zero, options=nodups, seed=104)</description>
      <pubDate>Tue, 06 Jan 2009 21:41:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Mathematical-Optimization/Help-using-Mktex-discrete-choice-suite-for-blended-branded/m-p/67948#M494</guid>
      <dc:creator>WarrenKuhfeld</dc:creator>
      <dc:date>2009-01-06T21:41:35Z</dc:date>
    </item>
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