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    <title>topic Interactions in factorial design in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109724#M5798</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi - I can specify a full factorial model with factors A, B, C and D in PROC GLM, PROC GLMSELECT etc using notation like this: A | B | C | D.&amp;nbsp; But can I tell the procedure that I only want to include interactions of A, B, C and D upto and including the second order?&amp;nbsp; Obviously I could write them all out in full (A*B&amp;nbsp; A*C A*D B*C etc), but I'm guessing there's probably an easier way.&amp;nbsp; Is there?&lt;SPAN style="font-size: 12pt;"&gt;&lt;SPAN lang=""&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;Many thanks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 31 Aug 2012 08:18:19 GMT</pubDate>
    <dc:creator>DavidQ_R</dc:creator>
    <dc:date>2012-08-31T08:18:19Z</dc:date>
    <item>
      <title>Interactions in factorial design</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109724#M5798</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi - I can specify a full factorial model with factors A, B, C and D in PROC GLM, PROC GLMSELECT etc using notation like this: A | B | C | D.&amp;nbsp; But can I tell the procedure that I only want to include interactions of A, B, C and D upto and including the second order?&amp;nbsp; Obviously I could write them all out in full (A*B&amp;nbsp; A*C A*D B*C etc), but I'm guessing there's probably an easier way.&amp;nbsp; Is there?&lt;SPAN style="font-size: 12pt;"&gt;&lt;SPAN lang=""&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;Many thanks.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 31 Aug 2012 08:18:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109724#M5798</guid>
      <dc:creator>DavidQ_R</dc:creator>
      <dc:date>2012-08-31T08:18:19Z</dc:date>
    </item>
    <item>
      <title>Re: Interactions in factorial design</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109725#M5799</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;There sure is.&amp;nbsp; For your situation, use &lt;A href="mailto:A|B|C|D@2"&gt;A|B|C|D@2&lt;/A&gt;.&amp;nbsp; This will give a model with main effects and all two way interactions.&amp;nbsp; In the documenation for GLM, look at Example 42.11 Analysis of a Screening Design, where they present a four factor model, and fit main effects and the two way interactions.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 31 Aug 2012 12:00:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109725#M5799</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2012-08-31T12:00:01Z</dc:date>
    </item>
    <item>
      <title>Re: Interactions in factorial design</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109726#M5800</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Perfect - just what I needed.&lt;/P&gt;&lt;P&gt;Many thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 31 Aug 2012 13:21:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Interactions-in-factorial-design/m-p/109726#M5800</guid>
      <dc:creator>DavidQ_R</dc:creator>
      <dc:date>2012-08-31T13:21:35Z</dc:date>
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