<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic How to classify groups with categorical data? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-classify-groups-with-categorical-data/m-p/17581#M16033</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Here is an easy one. I have a group of rodent skulls. They are from several named groups which are also geographic regions. One group is classified as "unknown". I have metric data and used Discriminant Analysis and a plot of the Canonical 1 and 2 scores. And, using the values in the Discriminant Scores table to show predictions. &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; I also have categorical data. Briefly, things like the number of holes in the skull for nerves and veins. They vary geographically from 2 to 4 (e.g. 1 on one side, a double hole on the other side). I am looking at the data in the Fit Y by X analysis. This is showing me Mosaic Plots and chi square tests for each variable. I need to retrace my steps, but some command also compares means with a student t test such that groups that are statistically different are labeled A, b, C, etc. Any advice there would be appreciated. &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; However, I would like to find a statistically valid test for classifying the unknown group on these categorical variables. Or, at least create a table suggesting greatest similarity as a group, not as individuals. I know there is a clustering method, but not clear to me how to use this for groups rather than individuals. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Chris&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 21 Mar 2016 21:45:14 GMT</pubDate>
    <dc:creator>ondatra_berkele</dc:creator>
    <dc:date>2016-03-21T21:45:14Z</dc:date>
    <item>
      <title>How to classify groups with categorical data?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-classify-groups-with-categorical-data/m-p/17581#M16033</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; Here is an easy one. I have a group of rodent skulls. They are from several named groups which are also geographic regions. One group is classified as "unknown". I have metric data and used Discriminant Analysis and a plot of the Canonical 1 and 2 scores. And, using the values in the Discriminant Scores table to show predictions. &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; I also have categorical data. Briefly, things like the number of holes in the skull for nerves and veins. They vary geographically from 2 to 4 (e.g. 1 on one side, a double hole on the other side). I am looking at the data in the Fit Y by X analysis. This is showing me Mosaic Plots and chi square tests for each variable. I need to retrace my steps, but some command also compares means with a student t test such that groups that are statistically different are labeled A, b, C, etc. Any advice there would be appreciated. &lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; However, I would like to find a statistically valid test for classifying the unknown group on these categorical variables. Or, at least create a table suggesting greatest similarity as a group, not as individuals. I know there is a clustering method, but not clear to me how to use this for groups rather than individuals. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Chris&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 21 Mar 2016 21:45:14 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-classify-groups-with-categorical-data/m-p/17581#M16033</guid>
      <dc:creator>ondatra_berkele</dc:creator>
      <dc:date>2016-03-21T21:45:14Z</dc:date>
    </item>
    <item>
      <title>Re: How to classify groups with categorical data?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-classify-groups-with-categorical-data/m-p/17582#M16034</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It depends on the version of JMP you are using as &lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Multiple Correspondence Analysis might be the technique you wish to use. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;A more manual approach might be to:&lt;/SPAN&gt;&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Label the points based on the group column.&lt;BR /&gt;&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Carry out cluster analysis. &lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Turn on colour clusters from the hotspot.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Turn on constellation plot (optional) from hotspot.&lt;BR /&gt;&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Vary the number of clusters until your known groups are roughly all coloured the same. Hopefully your unknowns will lie within a group or on the same branch as a known group.&lt;/SPAN&gt;&lt;/LI&gt;&lt;LI&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;The save options on the hotspot include constellation coordinates, distance matrix and formula for cluster.&lt;BR /&gt;&lt;/SPAN&gt;&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #333333; font-family: Arial, sans-serif; font-size: 12px;"&gt;Perhaps one of these scores be a suitable basis for a test?&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 22 Mar 2016 11:51:48 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-classify-groups-with-categorical-data/m-p/17582#M16034</guid>
      <dc:creator>stephen_pearson</dc:creator>
      <dc:date>2016-03-22T11:51:48Z</dc:date>
    </item>
  </channel>
</rss>

