<?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: Experimental Design GRBD in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69321#M19895</link>
    <description>Dear Data_null,&lt;BR /&gt;
Thank you very much. I am missing in your porgramathe replication within the block. I have really 72 data, because I have 6 treatments, 3 blocks, 2 replicate of the same light treatment, and both sides of the canopy, East and West. The other question I have, but maybe as you said I have to ask a statistician, is how worry I have to be here about normality and homegeinity of variance.&lt;BR /&gt;
Maybe you have a program in order to consider the 72 data.&lt;BR /&gt;
&lt;BR /&gt;
Thanks again</description>
    <pubDate>Thu, 03 Sep 2009 18:00:52 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2009-09-03T18:00:52Z</dc:date>
    <item>
      <title>Experimental Design GRBD</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69319#M19893</link>
      <description>Hi SAS Procedures Group,&lt;BR /&gt;
&lt;BR /&gt;
I am needing some help in analyzing an experiment in a vineyard in a generalized randon block design. I have 3 blocks, 6 light treatments and I have separate results from both sides of the grapevines (east and west). Each light treatment is replicated two times within each block, so I have a total of 36 plots. I have as response variable the sugar content of the fruit. I would like to know if someone could help me with the sas statements to analyze these experiment. &lt;BR /&gt;
In advance thank you very much</description>
      <pubDate>Thu, 03 Sep 2009 16:30:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69319#M19893</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-09-03T16:30:06Z</dc:date>
    </item>
    <item>
      <title>Re: Experimental Design GRBD</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69320#M19894</link>
      <description>This is the question that you should have the answer to before you apply any treatments, collect any data or spend any money.  &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;BR /&gt;
&lt;BR /&gt;
I'm not a statistician but I know when I need one.&lt;BR /&gt;
&lt;BR /&gt;
I'm not sure the following is correct, but it seems reasonable.  Perhaps a statistician will offer some advice.&lt;BR /&gt;
&lt;BR /&gt;
[pre]&lt;BR /&gt;
/* Make sample data */&lt;BR /&gt;
proc plan seed=1150759636;&lt;BR /&gt;
   factors&lt;BR /&gt;
      block  = 3 ordered&lt;BR /&gt;
      light  = 6 random&lt;BR /&gt;
      side   = 2 ordered&lt;BR /&gt;
      plot   = 1 of 36 perm&lt;BR /&gt;
      ;&lt;BR /&gt;
   treatments sugar = 1 of 500;&lt;BR /&gt;
   output out=plan side cvals=('E' 'W');&lt;BR /&gt;
   run;&lt;BR /&gt;
proc print;&lt;BR /&gt;
   run;&lt;BR /&gt;
proc glm;&lt;BR /&gt;
   class block light side;&lt;BR /&gt;
   model sugar = block light block*light side(block);&lt;BR /&gt;
   test h=light e=block*light;&lt;BR /&gt;
   run;&lt;BR /&gt;
&lt;BR /&gt;
proc mixed;&lt;BR /&gt;
   class block light side;&lt;BR /&gt;
   model sugar = light;&lt;BR /&gt;
   random block block*light side(block);&lt;BR /&gt;
   lsmeans light / pdiff;&lt;BR /&gt;
   run;&lt;BR /&gt;
[/pre]</description>
      <pubDate>Thu, 03 Sep 2009 17:21:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69320#M19894</guid>
      <dc:creator>data_null__</dc:creator>
      <dc:date>2009-09-03T17:21:44Z</dc:date>
    </item>
    <item>
      <title>Re: Experimental Design GRBD</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69321#M19895</link>
      <description>Dear Data_null,&lt;BR /&gt;
Thank you very much. I am missing in your porgramathe replication within the block. I have really 72 data, because I have 6 treatments, 3 blocks, 2 replicate of the same light treatment, and both sides of the canopy, East and West. The other question I have, but maybe as you said I have to ask a statistician, is how worry I have to be here about normality and homegeinity of variance.&lt;BR /&gt;
Maybe you have a program in order to consider the 72 data.&lt;BR /&gt;
&lt;BR /&gt;
Thanks again</description>
      <pubDate>Thu, 03 Sep 2009 18:00:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69321#M19895</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2009-09-03T18:00:52Z</dc:date>
    </item>
    <item>
      <title>Re: Experimental Design GRBD</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69322#M19896</link>
      <description>&amp;gt; 2 replicate of the same light treatment,&lt;BR /&gt;
&lt;BR /&gt;
You say you have 36 plots.  Does this imply 72 plots?  Or 2 samples on the sample of the same plot.&lt;BR /&gt;
&lt;BR /&gt;
You will need to "draw a picture" I don't understand</description>
      <pubDate>Thu, 03 Sep 2009 18:08:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69322#M19896</guid>
      <dc:creator>data_null__</dc:creator>
      <dc:date>2009-09-03T18:08:51Z</dc:date>
    </item>
    <item>
      <title>Re: Experimental Design GRBD</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69323#M19897</link>
      <description>This seems reasonable but you really need to get a statistician to help you...&lt;BR /&gt;
&lt;BR /&gt;
[pre]&lt;BR /&gt;
proc plan seed=1150759636;&lt;BR /&gt;
   factors&lt;BR /&gt;
      block  = 3 ordered&lt;BR /&gt;
      rep    = 2 ordered&lt;BR /&gt;
      light  = 6 random&lt;BR /&gt;
      plot   = 1 of 36 perm&lt;BR /&gt;
      side   = 2 ordered&lt;BR /&gt;
      i      = 1 of 72 perm&lt;BR /&gt;
      / noprint&lt;BR /&gt;
      ;&lt;BR /&gt;
   treatments sugar = 1 of 500;&lt;BR /&gt;
   output out=plan side cvals=('E' 'W');&lt;BR /&gt;
   run;&lt;BR /&gt;
proc print;&lt;BR /&gt;
   run;&lt;BR /&gt;
proc glm;&lt;BR /&gt;
   class block rep light side;&lt;BR /&gt;
   model sugar = block light block*light block*light*rep side side*block;&lt;BR /&gt;
   test h=light block*light e=block*light*rep;&lt;BR /&gt;
   run;&lt;BR /&gt;
&lt;BR /&gt;
proc mixed method=type3;&lt;BR /&gt;
   class block rep light side;&lt;BR /&gt;
   model sugar = light block*light side;&lt;BR /&gt;
   random block block*light*rep side*block;&lt;BR /&gt;
   lsmeans light / pdiff;&lt;BR /&gt;
   run;&lt;BR /&gt;
[/pre]</description>
      <pubDate>Sat, 05 Sep 2009 01:43:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/Experimental-Design-GRBD/m-p/69323#M19897</guid>
      <dc:creator>data_null__</dc:creator>
      <dc:date>2009-09-05T01:43:26Z</dc:date>
    </item>
  </channel>
</rss>

