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    <title>topic Re: block and split-plot analysis by &amp;quot;fit model&amp;quot; in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7170#M7164</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I actually have both.&lt;/P&gt;&lt;P&gt;So, does this mean if the blocking factor is not random, we don't need to specify anything for the blocking factor different from other factors. so what is the difference between a blocking factor and a normal factor when fitting a model?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 26 Jul 2013 15:45:59 GMT</pubDate>
    <dc:creator>mahroo</dc:creator>
    <dc:date>2013-07-26T15:45:59Z</dc:date>
    <item>
      <title>block and split-plot analysis by "fit model"</title>
      <link>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7168#M7162</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I am having a data set with blocking factor, whole plot, and split plot factors. I want to use fit model in JMP. I read some stuff online and figured out for whole plot I need to specify it as "random effect", but couldn't find anything regarding the blocking factor. How I tell fit model in JMP that a factor is a blocking factor?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 26 Jul 2013 04:23:45 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7168#M7162</guid>
      <dc:creator>mahroo</dc:creator>
      <dc:date>2013-07-26T04:23:45Z</dc:date>
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    <item>
      <title>Re: block and split-plot analysis by "fit model"</title>
      <link>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7169#M7163</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I'm not sure if you are saying that you have a blocking factor and a whole plot factor, or just a whole plot factor.&amp;nbsp; Either way, it's most common that the blocking factor acts as a random effect - so you select the term in your model specification then choose random effect from the attributes option.&amp;nbsp; You'll find more details under Help&amp;gt;Books&amp;gt;Modeling and Multivatiate Methods ... just do a search for split-plot&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 26 Jul 2013 15:35:16 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7169#M7163</guid>
      <dc:creator>David_Burnham</dc:creator>
      <dc:date>2013-07-26T15:35:16Z</dc:date>
    </item>
    <item>
      <title>Re: block and split-plot analysis by "fit model"</title>
      <link>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7170#M7164</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I actually have both.&lt;/P&gt;&lt;P&gt;So, does this mean if the blocking factor is not random, we don't need to specify anything for the blocking factor different from other factors. so what is the difference between a blocking factor and a normal factor when fitting a model?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 26 Jul 2013 15:45:59 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/block-and-split-plot-analysis-by-quot-fit-model-quot/m-p/7170#M7164</guid>
      <dc:creator>mahroo</dc:creator>
      <dc:date>2013-07-26T15:45:59Z</dc:date>
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