<?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 PROC GLM: effects coding? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46483#M2029</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;For everything about effect coding in SAS, see &lt;A href="http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_introcom_a0000003327.htm"&gt;http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_introcom_a0000003327.htm&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;GLM doesn't have the coding you want, but GENMOD does, and can do GLM-type models.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Or you can use the OUTDESIGNONLY OUTDESIGN= option in PROC LOGISTIC to output dummy variables for the explanatory variables, and this use those dummy variables in GLM. (Use anything for the response variable, like a constant vector.)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Rick&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Sat, 12 Nov 2011 19:45:21 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2011-11-12T19:45:21Z</dc:date>
    <item>
      <title>PROC GLM: effects coding?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46482#M2028</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi chaps,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am running an analysis of multiple linear regression using PROC GLM, with the dataset mainly consisting of categorcial variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Do you know that if PROC GLM has the effects coding (-1, 0, 1) for the design matrix. As compared to the dummy coding (0, 1), the effects coding offers the advantage of comparing between each category and the grand mean.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 12 Nov 2011 09:35:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46482#M2028</guid>
      <dc:creator>Ruth</dc:creator>
      <dc:date>2011-11-12T09:35:01Z</dc:date>
    </item>
    <item>
      <title>PROC GLM: effects coding?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46483#M2029</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;For everything about effect coding in SAS, see &lt;A href="http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_introcom_a0000003327.htm"&gt;http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_introcom_a0000003327.htm&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;GLM doesn't have the coding you want, but GENMOD does, and can do GLM-type models.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Or you can use the OUTDESIGNONLY OUTDESIGN= option in PROC LOGISTIC to output dummy variables for the explanatory variables, and this use those dummy variables in GLM. (Use anything for the response variable, like a constant vector.)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Rick&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 12 Nov 2011 19:45:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46483#M2029</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2011-11-12T19:45:21Z</dc:date>
    </item>
    <item>
      <title>PROC GLM: effects coding?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46484#M2030</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks &lt;img id="smileywink" class="emoticon emoticon-smileywink" src="https://communities.sas.com/i/smilies/16x16_smiley-wink.png" alt="Smiley Wink" title="Smiley Wink" /&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 14 Nov 2011 01:16:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/PROC-GLM-effects-coding/m-p/46484#M2030</guid>
      <dc:creator>Ruth</dc:creator>
      <dc:date>2011-11-14T01:16:29Z</dc:date>
    </item>
  </channel>
</rss>

