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    <title>topic Re: Model a functional response using a functional factor in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765328#M94494</link>
    <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/14242"&gt;@Alicia&lt;/a&gt;&amp;nbsp;Alicia,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It's definitely possible but can be an undertaking to be able to correctly interpret the results. You would need to do the following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Set up a functional input model:&lt;/P&gt;
&lt;P&gt;1)Take your functional inputs and generate a model with FDE to create FPC's for each input run to represent the curve. In this case you may not have supplementary values. Make sure that there is a unique identifier for each batch/set of data that you can use later.&lt;/P&gt;
&lt;P&gt;2) Export the FPC scores (Save Function Summaries in the FDE Platform) - this will provide you with the FPC scores to test against your output (below) and the ability to profile the FPC scores using the saved prediction formula (use Graph &amp;gt; Profiler and make sure to Expand Intermediate Formulas) - you will use this later for visualising the shape of your inputs.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Use the inputs to model against your output functional shapes:&lt;/P&gt;
&lt;P&gt;3) Take the generated FPC scores and align them to the correct batch/row that they are related to in the output time series data (you can use the Join function to update your table).&lt;/P&gt;
&lt;P&gt;4) Use your FPC scores as supplementary inputs in the FDE model&lt;/P&gt;
&lt;P&gt;5) Create a profiler with the Functional or Wavelet DOE option&lt;/P&gt;
&lt;P&gt;6) Create a profiler of the input curves from steps 1 and 2.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This will allow you to generate a model that you can change the FPC scores of the input for and see how they change the shape of the original input (points 1,2) and the output (points 5,6).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope this helps, if you have any questions let me know.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Ben&lt;/P&gt;</description>
    <pubDate>Thu, 13 Jun 2024 08:51:50 GMT</pubDate>
    <dc:creator>Ben_BarrIngh</dc:creator>
    <dc:date>2024-06-13T08:51:50Z</dc:date>
    <item>
      <title>Model a functional response using a functional factor</title>
      <link>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765127#M94462</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is it possible to model a functional response based on a functional factor?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm familiar with the Functional DOE Analysis option when I fit a model to a functional response but I've only found it possible to add non-functional / single-column factors.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any ideas would be much appreciated.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Kind regards,&lt;/P&gt;&lt;P&gt;Alicia&lt;/P&gt;</description>
      <pubDate>Wed, 12 Jun 2024 15:39:50 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765127#M94462</guid>
      <dc:creator>Alicia</dc:creator>
      <dc:date>2024-06-12T15:39:50Z</dc:date>
    </item>
    <item>
      <title>Re: Model a functional response using a functional factor</title>
      <link>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765219#M94477</link>
      <description>&lt;P&gt;You can save the functional PCAs for both the response and factor curves. Then, you can use them in the Y and X roles, respectively.&lt;/P&gt;</description>
      <pubDate>Wed, 12 Jun 2024 18:35:06 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765219#M94477</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2024-06-12T18:35:06Z</dc:date>
    </item>
    <item>
      <title>Re: Model a functional response using a functional factor</title>
      <link>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765328#M94494</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/14242"&gt;@Alicia&lt;/a&gt;&amp;nbsp;Alicia,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It's definitely possible but can be an undertaking to be able to correctly interpret the results. You would need to do the following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Set up a functional input model:&lt;/P&gt;
&lt;P&gt;1)Take your functional inputs and generate a model with FDE to create FPC's for each input run to represent the curve. In this case you may not have supplementary values. Make sure that there is a unique identifier for each batch/set of data that you can use later.&lt;/P&gt;
&lt;P&gt;2) Export the FPC scores (Save Function Summaries in the FDE Platform) - this will provide you with the FPC scores to test against your output (below) and the ability to profile the FPC scores using the saved prediction formula (use Graph &amp;gt; Profiler and make sure to Expand Intermediate Formulas) - you will use this later for visualising the shape of your inputs.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Use the inputs to model against your output functional shapes:&lt;/P&gt;
&lt;P&gt;3) Take the generated FPC scores and align them to the correct batch/row that they are related to in the output time series data (you can use the Join function to update your table).&lt;/P&gt;
&lt;P&gt;4) Use your FPC scores as supplementary inputs in the FDE model&lt;/P&gt;
&lt;P&gt;5) Create a profiler with the Functional or Wavelet DOE option&lt;/P&gt;
&lt;P&gt;6) Create a profiler of the input curves from steps 1 and 2.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This will allow you to generate a model that you can change the FPC scores of the input for and see how they change the shape of the original input (points 1,2) and the output (points 5,6).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hope this helps, if you have any questions let me know.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Ben&lt;/P&gt;</description>
      <pubDate>Thu, 13 Jun 2024 08:51:50 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765328#M94494</guid>
      <dc:creator>Ben_BarrIngh</dc:creator>
      <dc:date>2024-06-13T08:51:50Z</dc:date>
    </item>
    <item>
      <title>Re: Model a functional response using a functional factor</title>
      <link>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765572#M94529</link>
      <description>&lt;P&gt;Thanks for the detailed steps Ben, much appreciated!&lt;/P&gt;</description>
      <pubDate>Thu, 13 Jun 2024 15:39:14 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Model-a-functional-response-using-a-functional-factor/m-p/765572#M94529</guid>
      <dc:creator>Alicia</dc:creator>
      <dc:date>2024-06-13T15:39:14Z</dc:date>
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