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    <title>topic Re: Kruskal Wallis in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28155#M6540</link>
    <description>You can use proc npar1way to do a Kruskal-Wallis (Wilcoxen)&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
From Documentation....&lt;BR /&gt;
The Nonparametric One-Way ANOVA task enables you to perform nonparametric tests for location and scale when you have a continuous dependent variable and a single independent classification variable. You can perform a nonparametric one-way ANOVA using Wilcoxon (Kruskal-Wallis), median, Van der Waerden,.....</description>
    <pubDate>Mon, 30 Jun 2008 21:46:41 GMT</pubDate>
    <dc:creator>LAP</dc:creator>
    <dc:date>2008-06-30T21:46:41Z</dc:date>
    <item>
      <title>Kruskal Wallis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28152#M6537</link>
      <description>Does anyone know how to do a Kruskal Wallis test in SAS with TWO independent variables instead of just one?</description>
      <pubDate>Fri, 27 Jun 2008 17:58:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28152#M6537</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2008-06-27T17:58:01Z</dc:date>
    </item>
    <item>
      <title>Re: Kruskal Wallis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28153#M6538</link>
      <description>I haven't checked what test KW is exactly, but from what I remember, it is like an analysis of variance on ranks, isn't it ?&lt;BR /&gt;
If so, just compute ranks with PROC RANK and then proceed with PROC GLM.&lt;BR /&gt;
Am I correct ?</description>
      <pubDate>Fri, 27 Jun 2008 20:52:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28153#M6538</guid>
      <dc:creator>Olivier</dc:creator>
      <dc:date>2008-06-27T20:52:37Z</dc:date>
    </item>
    <item>
      <title>Re: Kruskal Wallis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28154#M6539</link>
      <description>Thanks.  Yes, it is based on rank as far as I can tell.  It seems to be a nonparametric equivalent of ANOVA and you can use proc npar1way, but now I want to add a second independent variable.  It doesn't seem to allow this and the only thing I could find when I googled it was some talk of macros that created a multivariate KW, but couldn't actually get to the macro itself.</description>
      <pubDate>Fri, 27 Jun 2008 21:04:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28154#M6539</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2008-06-27T21:04:11Z</dc:date>
    </item>
    <item>
      <title>Re: Kruskal Wallis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28155#M6540</link>
      <description>You can use proc npar1way to do a Kruskal-Wallis (Wilcoxen)&lt;BR /&gt;
&lt;BR /&gt;
&lt;BR /&gt;
From Documentation....&lt;BR /&gt;
The Nonparametric One-Way ANOVA task enables you to perform nonparametric tests for location and scale when you have a continuous dependent variable and a single independent classification variable. You can perform a nonparametric one-way ANOVA using Wilcoxon (Kruskal-Wallis), median, Van der Waerden,.....</description>
      <pubDate>Mon, 30 Jun 2008 21:46:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28155#M6540</guid>
      <dc:creator>LAP</dc:creator>
      <dc:date>2008-06-30T21:46:41Z</dc:date>
    </item>
    <item>
      <title>Re: Kruskal Wallis</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28156#M6541</link>
      <description>Just rank the dependent variable and then run the two way ANOVA via GLM.&lt;BR /&gt;
&lt;BR /&gt;
Generally, you can do any rank-based analysis using the normal theory equivalent procedure in SAS.  However, you are relying on the Central Limit Theorem to get the p-values, so you may need substantial sample sizes for this to work.  [That's what Wilcoxon was doing when he developed the Rank-Sum test; he was looking for an easier way to do a t-test (think hand calculation!).]</description>
      <pubDate>Tue, 01 Jul 2008 01:51:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Kruskal-Wallis/m-p/28156#M6541</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2008-07-01T01:51:25Z</dc:date>
    </item>
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