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    <title>topic Re: Have Dunn's Macro Output P-Value in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409513#M21371</link>
    <description>The exact SAS macro I am interested in is this one: &lt;A href="https://www.cscu.cornell.edu/workshops/Nonparametric_Files/dunn%20macro.sas" target="_blank"&gt;https://www.cscu.cornell.edu/workshops/Nonparametric_Files/dunn%20macro.sas&lt;/A&gt; For each comparison, it outputs the difference in average ranks, the cutoff value for that comparison, and if that comparison is significant given a certain alpha. What I really need to know is how to use the difference in average ranks output and the cutoff output to determine the p-value.</description>
    <pubDate>Wed, 01 Nov 2017 15:34:43 GMT</pubDate>
    <dc:creator>lee0094</dc:creator>
    <dc:date>2017-11-01T15:34:43Z</dc:date>
    <item>
      <title>Have Dunn's Macro Output P-Value</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409297#M21365</link>
      <description>&lt;P&gt;I am using the Dunn's macro that was posted on a previous community post (&lt;A href="https://communities.sas.com/t5/SAS-Statistical-Procedures/Dunn-s-Test/m-p/89557#M4393" target="_blank"&gt;https://communities.sas.com/t5/SAS-Statistical-Procedures/Dunn-s-Test/m-p/89557#M4393&lt;/A&gt;). I am wondering if there is a way to adapt the code so that it will output the p-value for each pairwise comparison performed? Thanks in advance.&lt;/P&gt;</description>
      <pubDate>Tue, 31 Oct 2017 21:15:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409297#M21365</guid>
      <dc:creator>lee0094</dc:creator>
      <dc:date>2017-10-31T21:15:27Z</dc:date>
    </item>
    <item>
      <title>Re: Have Dunn's Macro Output P-Value</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409477#M21370</link>
      <description>&lt;P&gt;Probably. What have you tried.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;And since the post references a ZIP file containing lots of stuff you might want to extract the bit YOU are attempting to modify instead of having us guess.&lt;/P&gt;</description>
      <pubDate>Wed, 01 Nov 2017 14:25:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409477#M21370</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2017-11-01T14:25:53Z</dc:date>
    </item>
    <item>
      <title>Re: Have Dunn's Macro Output P-Value</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409513#M21371</link>
      <description>The exact SAS macro I am interested in is this one: &lt;A href="https://www.cscu.cornell.edu/workshops/Nonparametric_Files/dunn%20macro.sas" target="_blank"&gt;https://www.cscu.cornell.edu/workshops/Nonparametric_Files/dunn%20macro.sas&lt;/A&gt; For each comparison, it outputs the difference in average ranks, the cutoff value for that comparison, and if that comparison is significant given a certain alpha. What I really need to know is how to use the difference in average ranks output and the cutoff output to determine the p-value.</description>
      <pubDate>Wed, 01 Nov 2017 15:34:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/409513#M21371</guid>
      <dc:creator>lee0094</dc:creator>
      <dc:date>2017-11-01T15:34:43Z</dc:date>
    </item>
    <item>
      <title>Re: Have Dunn's Macro Output P-Value</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/780082#M38281</link>
      <description>&lt;P&gt;I have a similar question. I used the dscf option in proc npar1way and obtained the table below. Then I found the referenced dscf macro and compared outputs. The macro does not give the pvalue so I assumed that the dscf value was gaussian normal and used my calculator to find the pvalue. However looking at the macro, I think it has a studentized range distribution. For a one-way analysis of 40 observations put in 4 groups of 10 I need to input the df. That is 40-03=37?&lt;/P&gt;
&lt;P&gt;The cutoff at alpha=.05(.05/6?) is 3.63315. The p-value computed below is .053681? Why is not not less than.05?&lt;/P&gt;
&lt;PRE&gt;data temp;&lt;BR /&gt;qalpha=probmc("RANGE",3.74730,.,40,4);&lt;BR /&gt;qalpha2=1-qalpha;&lt;BR /&gt;proc print; run;&lt;/PRE&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="dscf.snapshot.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/65659i782676E20DDC5BCA/image-size/medium?v=v2&amp;amp;px=400" role="button" title="dscf.snapshot.png" alt="dscf.snapshot.png" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 13 Nov 2021 02:34:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Have-Dunn-s-Macro-Output-P-Value/m-p/780082#M38281</guid>
      <dc:creator>MaryA_Marion</dc:creator>
      <dc:date>2021-11-13T02:34:35Z</dc:date>
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