<?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 Re: Correlation Matrix for Categorical Variables in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235322#M16994</link>
    <description>&lt;P&gt;I'm not sure of your application here, but you might &lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_corresp_overview.htm" target="_self"&gt;look at PROC CORRESP&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;PROC CORRESP does analyze categorical data, and it's often used in market research applications, especially in France and Japan. &amp;nbsp;(Which is why I call this t&lt;A href="http://moviemorlocks.com/2014/02/01/of-jerry-lewis-the-french-and-an-undying-myth/" target="_self"&gt;he Jerry Lewis&lt;/A&gt; of stat procs.)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In fact, there's an entire book about &lt;A href="http://www.ashgate.com/default.aspx?page=637&amp;amp;calcTitle=1&amp;amp;isbn=9781409426769&amp;amp;lang=cy-GB" target="_self"&gt;Marketing Research using SAS Enterprise Guide.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 18 Nov 2015 17:57:12 GMT</pubDate>
    <dc:creator>ChrisHemedinger</dc:creator>
    <dc:date>2015-11-18T17:57:12Z</dc:date>
    <item>
      <title>Correlation Matrix for Categorical Variables</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235249#M16989</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'd like to see the correlations among the variables in my dataset. I created a correlation matrix for continuous variables by using Analyze/Multivariate/Correlations function but I don't know how to create a correlation matrix for the&amp;nbsp;categorical variables. Could you help me with this issue?&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Wed, 18 Nov 2015 14:53:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235249#M16989</guid>
      <dc:creator>gorkemkilic</dc:creator>
      <dc:date>2015-11-18T14:53:39Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation Matrix for Categorical Variables</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235311#M16990</link>
      <description>I don't believe that's something that's defined clearly statistically. Typically to compare two categorical variables you can use a Chi-Square or Fisher test.</description>
      <pubDate>Wed, 18 Nov 2015 17:15:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235311#M16990</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2015-11-18T17:15:29Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation Matrix for Categorical Variables</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235320#M16993</link>
      <description>&lt;P&gt;"Correlations" are only defined for ordered variables. You can use Spearman rank or Kendall's Tau-b correlations for both continuous measures and &lt;U&gt;ordered&lt;/U&gt; categorical variables.&lt;/P&gt;</description>
      <pubDate>Wed, 18 Nov 2015 17:47:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235320#M16993</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2015-11-18T17:47:04Z</dc:date>
    </item>
    <item>
      <title>Re: Correlation Matrix for Categorical Variables</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235322#M16994</link>
      <description>&lt;P&gt;I'm not sure of your application here, but you might &lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_corresp_overview.htm" target="_self"&gt;look at PROC CORRESP&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;PROC CORRESP does analyze categorical data, and it's often used in market research applications, especially in France and Japan. &amp;nbsp;(Which is why I call this t&lt;A href="http://moviemorlocks.com/2014/02/01/of-jerry-lewis-the-french-and-an-undying-myth/" target="_self"&gt;he Jerry Lewis&lt;/A&gt; of stat procs.)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;In fact, there's an entire book about &lt;A href="http://www.ashgate.com/default.aspx?page=637&amp;amp;calcTitle=1&amp;amp;isbn=9781409426769&amp;amp;lang=cy-GB" target="_self"&gt;Marketing Research using SAS Enterprise Guide.&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Nov 2015 17:57:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Correlation-Matrix-for-Categorical-Variables/m-p/235322#M16994</guid>
      <dc:creator>ChrisHemedinger</dc:creator>
      <dc:date>2015-11-18T17:57:12Z</dc:date>
    </item>
  </channel>
</rss>

