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    <title>topic Re: Looping ANOVA to determine most similar group in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462017#M70684</link>
    <description>&lt;P&gt;What you need to do, is to run the steps that need to be done for 1 group.&amp;nbsp; Then, taking those steps and looping through all of the groups should be a very easy task.&lt;/P&gt;</description>
    <pubDate>Thu, 17 Feb 2022 23:59:25 GMT</pubDate>
    <dc:creator>txnelson</dc:creator>
    <dc:date>2022-02-17T23:59:25Z</dc:date>
    <item>
      <title>Looping ANOVA to determine most similar group</title>
      <link>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/461974#M70683</link>
      <description>&lt;P&gt;Hi all,&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;I'm looking to loop a procedure that would otherwise be tedious. Potentially, someone may have a better workflow and I'm all ears if you do. For my dataset, I have 5 ethnicities and I'm trying to figure out what ethnicity 2 and ethnicity 5 match best to so I can combine the ethnicities. What I want to do is run an ANOVA and Welche's Test between 2 and the rest of the ethnicities and see if they match and which one matches best. This would only be 4 Tests, but I have 40 different groups as well so this would be a tedious tast to repeat manually. Would there be a way to loop this and somehow automate a formula where is ethnicitiy 2 matches lets say ethnicity 3 best there is a column indicator for that?&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;If there are better statistical methods in JMP that can facilitate this as well, I'm all ears.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2022-02-17 at 5.02.29 PM.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/40110iDBE3BAD9365BDE86/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screen Shot 2022-02-17 at 5.02.29 PM.png" alt="Screen Shot 2022-02-17 at 5.02.29 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 18:11:01 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/461974#M70683</guid>
      <dc:creator>MikeDereviankin</dc:creator>
      <dc:date>2023-06-09T18:11:01Z</dc:date>
    </item>
    <item>
      <title>Re: Looping ANOVA to determine most similar group</title>
      <link>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462017#M70684</link>
      <description>&lt;P&gt;What you need to do, is to run the steps that need to be done for 1 group.&amp;nbsp; Then, taking those steps and looping through all of the groups should be a very easy task.&lt;/P&gt;</description>
      <pubDate>Thu, 17 Feb 2022 23:59:25 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462017#M70684</guid>
      <dc:creator>txnelson</dc:creator>
      <dc:date>2022-02-17T23:59:25Z</dc:date>
    </item>
    <item>
      <title>Re: Looping ANOVA to determine most similar group</title>
      <link>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462111#M70691</link>
      <description>&lt;P&gt;I generally avoid dividing the data into separate groups. (There are situations that call for separating data, of course.) I think about a model that might use all the data for the most power and sensitivity, but also account for group differences, if they exist. So what about a linear model that includes ethnicity and the group as effects?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Another consideration is the partition method. This model will tend to find the levels that should not be split.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Have you tried using two-dimensional hierarchical clustering?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Finally, ANOVA is useful when you are testing for a difference. it is not intended when you are testing for similarity. Lack of a significant ANOVA is not evidence for similarity. Equivalence testing is also a one direction test, but in the opposite direction.&lt;/P&gt;</description>
      <pubDate>Fri, 18 Feb 2022 13:01:25 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462111#M70691</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2022-02-18T13:01:25Z</dc:date>
    </item>
    <item>
      <title>Re: Looping ANOVA to determine most similar group</title>
      <link>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462243#M70701</link>
      <description>&lt;P&gt;Mike,&lt;/P&gt;
&lt;P&gt;Restating the problem. You have lots of levels for one variable, and you would like to combine them to reduce the complexity.&lt;/P&gt;
&lt;P&gt;The partition platform does what you are trying to do manually. &amp;nbsp;It will help you find groups with similar means and then give you the ability to either automatically or manually subgroup by&amp;nbsp;&lt;SPAN&gt;recursively partitioning the data according to a relationship between the predictors and response. Classically it has been used to create diagnostic&amp;nbsp;&lt;/SPAN&gt;heuristics.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Analyze&amp;gt;predictive modeling&amp;gt;partition&lt;/P&gt;
&lt;P&gt;There is an option to save the leaf numbers. (new group ID's)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/16.1/#page/jmp/overview-of-the-partition-platform.shtml#" target="_blank"&gt;https://www.jmp.com/support/help/en/16.1/#page/jmp/overview-of-the-partition-platform.shtml#&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 18 Feb 2022 19:27:03 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Looping-ANOVA-to-determine-most-similar-group/m-p/462243#M70701</guid>
      <dc:creator>Byron_JMP</dc:creator>
      <dc:date>2022-02-18T19:27:03Z</dc:date>
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