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    <title>topic Non normal data in fit model in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Non-normal-data-in-fit-model/m-p/427579#M67709</link>
    <description>&lt;P&gt;Hi, I have a data-set of continuous data with a mixture of variables being normally and non normally distributed. For the normally distributed data i have built a model in fit model with one fixed variable and a covariate. For the non-normal data I would like to use a Kruskal-wallis with a covariate? Is this possible to do?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
    <pubDate>Fri, 09 Jun 2023 00:40:17 GMT</pubDate>
    <dc:creator>HHanna232</dc:creator>
    <dc:date>2023-06-09T00:40:17Z</dc:date>
    <item>
      <title>Non normal data in fit model</title>
      <link>https://community.jmp.com/t5/Discussions/Non-normal-data-in-fit-model/m-p/427579#M67709</link>
      <description>&lt;P&gt;Hi, I have a data-set of continuous data with a mixture of variables being normally and non normally distributed. For the normally distributed data i have built a model in fit model with one fixed variable and a covariate. For the non-normal data I would like to use a Kruskal-wallis with a covariate? Is this possible to do?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:40:17 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Non-normal-data-in-fit-model/m-p/427579#M67709</guid>
      <dc:creator>HHanna232</dc:creator>
      <dc:date>2023-06-09T00:40:17Z</dc:date>
    </item>
    <item>
      <title>Re: Non normal data in fit model</title>
      <link>https://community.jmp.com/t5/Discussions/Non-normal-data-in-fit-model/m-p/427664#M67713</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/17533"&gt;@HHanna232&lt;/a&gt; ,&lt;/P&gt;
&lt;P&gt;These tests are available under the fit y by x platform. There you can ask for them under the red triangle.&lt;/P&gt;
&lt;P&gt;Yet, you may need to create a new categorical variable to include all the combinations of groups into one single factor for X. &lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 18 Oct 2021 13:28:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Non-normal-data-in-fit-model/m-p/427664#M67713</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2021-10-18T13:28:37Z</dc:date>
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