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    <title>topic Re: Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268008#M52172</link>
    <description>&lt;P&gt;As Dan suggests, you can add quadratic terms to the model you want to estimate, or you can add Discrete Numeric 3-level as in attached pic.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2020-05-20 at 10.19.10 AM.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24103i3F17CAC47B112AD1/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screen Shot 2020-05-20 at 10.19.10 AM.jpg" alt="Screen Shot 2020-05-20 at 10.19.10 AM.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt; &lt;/P&gt;</description>
    <pubDate>Wed, 20 May 2020 17:05:00 GMT</pubDate>
    <dc:creator>statman</dc:creator>
    <dc:date>2020-05-20T17:05:00Z</dc:date>
    <item>
      <title>Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value</title>
      <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/267844#M52144</link>
      <description>&lt;P&gt;I have a custom experiment I'm setting up.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have 5 distinct surfaces I'm testing on. A, B, C, D, E.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I added a second factor, "load" as continuous from 5 to 15&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I added a third factor "hold time" as 5 to 30&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;When I run "Make Design" Im surprised to see multiple runs of the same combination with all values at the extreme of the 2nd and 3rd factor. Is there a reason it doesn't have me test any intermediate combination?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 19 May 2020 20:56:49 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/267844#M52144</guid>
      <dc:creator>csf</dc:creator>
      <dc:date>2020-05-19T20:56:49Z</dc:date>
    </item>
    <item>
      <title>Re: Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value</title>
      <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/267852#M52148</link>
      <description>&lt;P&gt;If you set the 2 additional factors to 2-levels (5, 15 and 5, 30), then the experiment will only provide treatment combinations at those 2-levels. &amp;nbsp;If you want to test the factors at more than 2-levels, you must specify this when you add N Factors.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Level setting depends a lot on where you are in your study. &amp;nbsp;2-level designs are quite typical in early investigations (often called screening designs). &amp;nbsp;The levels are chosen far enough apart to have a wide inference space. Essentially you are increasing the chance of seeing a factor effect, of course, this is done for all of the factors to mitigate bias. &amp;nbsp;2-level designs will allow for first order model development as well as the ability to estimate interactions provided the design has enough resolution. &amp;nbsp;As your study approaches "optimal", then typically some sort of RSM is used often with more than 3-levels for factors thereby being able to estimate complex non-linear relationships.&lt;/P&gt;</description>
      <pubDate>Tue, 19 May 2020 21:26:33 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/267852#M52148</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2020-05-19T21:26:33Z</dc:date>
    </item>
    <item>
      <title>Re: Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value</title>
      <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/267973#M52166</link>
      <description>&lt;P&gt;A slightly different way to look at this: JMP will choose the design according to the model that you want to estimate. If you have only main effects, then you only need 2 levels to estimate those straight line relationships. If you require curvature (like squared terms), then you will get 3 levels for the factors.This is where you get efficiency: only perform the levels required to estimate the desired models.&lt;/P&gt;</description>
      <pubDate>Wed, 20 May 2020 13:10:08 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/267973#M52166</guid>
      <dc:creator>Dan_Obermiller</dc:creator>
      <dc:date>2020-05-20T13:10:08Z</dc:date>
    </item>
    <item>
      <title>Re: Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value</title>
      <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268000#M52170</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;P&gt;&lt;SPAN&gt;If you want to test the factors at more than 2-levels, you must specify this when you add N Factors.&lt;/SPAN&gt;&lt;/P&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;&lt;SPAN&gt;Do you mean manually&amp;nbsp;adding additional level at the mid point? So instead of 2-level, I should choose 3-level?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 20 May 2020 14:53:27 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268000#M52170</guid>
      <dc:creator>csf</dc:creator>
      <dc:date>2020-05-20T14:53:27Z</dc:date>
    </item>
    <item>
      <title>Re: Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value</title>
      <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268008#M52172</link>
      <description>&lt;P&gt;As Dan suggests, you can add quadratic terms to the model you want to estimate, or you can add Discrete Numeric 3-level as in attached pic.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2020-05-20 at 10.19.10 AM.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24103i3F17CAC47B112AD1/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screen Shot 2020-05-20 at 10.19.10 AM.jpg" alt="Screen Shot 2020-05-20 at 10.19.10 AM.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt; &lt;/P&gt;</description>
      <pubDate>Wed, 20 May 2020 17:05:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268008#M52172</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2020-05-20T17:05:00Z</dc:date>
    </item>
    <item>
      <title>Re: Custom DOE - Issues with Continuous Factors, Runs only at Extreme Value</title>
      <link>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268010#M52173</link>
      <description>&lt;P&gt;Screen shot of adding "powers"..2nd.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2020-05-20 at 10.22.08 AM.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24102i2C511528F36D9A7B/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screen Shot 2020-05-20 at 10.22.08 AM.jpg" alt="Screen Shot 2020-05-20 at 10.22.08 AM.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt; &lt;/P&gt;</description>
      <pubDate>Wed, 20 May 2020 17:04:15 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Custom-DOE-Issues-with-Continuous-Factors-Runs-only-at-Extreme/m-p/268010#M52173</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2020-05-20T17:04:15Z</dc:date>
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