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    <title>topic Help With PROC GLIMMIX Error Messages in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Help-With-PROC-GLIMMIX-Error-Messages/m-p/617928#M29760</link>
    <description>&lt;P&gt;So I'm running an experiment where I am taking counts of insects. I have 3 treatments with 10 replicates per treatment arranged in a RCBD (There are 10 blocks containing each treatment). I take repeated counts for 6 consecutive weeks. I replicate the entire experiment twice. I'm treating weeks as a repeated measure and block and experimental replicate as random effects.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here is my code. I'm getting the dreaded "Obtaining minimum variance quadratic unbiased estimates as starting values for the&lt;BR /&gt;covariance parameters failed." error and not sure where the error lies in my coding. For sake of simplicity I'm just showing the model looking at the variable "trips_r" for now but I will be looking at 8 different insect count variables and the damage variables (poprate and roserate). (TRT = treatment, EXP= experiment replicate, WEEK= week, CAGE= experimental unit, BLOCK = block).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc sort; &lt;BR /&gt;by TRT EXP WEEK;&lt;BR /&gt;RUN;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;PROC PRINT DATA=greenhouse;&lt;BR /&gt;run;&lt;BR /&gt;quit;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;PROC MEANS stderr noprint; by TRT EXP WEEK;&lt;BR /&gt;var adultm_p eggm_p totm_p trips_p adultm_r eggm_r totm_r thrips_r peprate roserate; &lt;BR /&gt;output out=avg&lt;BR /&gt;mean = Xadultm_p Xeggm_p Xtotm_p Xtrips_p Xadultm_r Xeggm_r Xtotm_r Xthrips_r Xpeprate Xroserate&lt;BR /&gt;stderr = Sadultm_p Seggm_p Stotm_p Strips_p Sadultm_r Seggm_r Stotm_r Sthrips_r Speprate Sroserate;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc print data=avg;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;PROC GLIMMIX DATA=greenhouse; &lt;BR /&gt;CLASS TRT WEEK EXP BLOCK CAGE;&lt;BR /&gt;MODEL thrips_r = TRT|BLOCK|EXP / dist=poi link=log s;&lt;BR /&gt;random intercept / subject=BLOCK;&lt;BR /&gt;random WEEK / type=ar(1) subject=CAGE(TRT*BLOCK) residual;&lt;BR /&gt;LSMEANS TRT/ PDIFF adjust=TUKEY; &lt;BR /&gt;RUN;&lt;/P&gt;</description>
    <pubDate>Thu, 16 Jan 2020 20:52:34 GMT</pubDate>
    <dc:creator>Nebulus</dc:creator>
    <dc:date>2020-01-16T20:52:34Z</dc:date>
    <item>
      <title>Help With PROC GLIMMIX Error Messages</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Help-With-PROC-GLIMMIX-Error-Messages/m-p/617928#M29760</link>
      <description>&lt;P&gt;So I'm running an experiment where I am taking counts of insects. I have 3 treatments with 10 replicates per treatment arranged in a RCBD (There are 10 blocks containing each treatment). I take repeated counts for 6 consecutive weeks. I replicate the entire experiment twice. I'm treating weeks as a repeated measure and block and experimental replicate as random effects.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here is my code. I'm getting the dreaded "Obtaining minimum variance quadratic unbiased estimates as starting values for the&lt;BR /&gt;covariance parameters failed." error and not sure where the error lies in my coding. For sake of simplicity I'm just showing the model looking at the variable "trips_r" for now but I will be looking at 8 different insect count variables and the damage variables (poprate and roserate). (TRT = treatment, EXP= experiment replicate, WEEK= week, CAGE= experimental unit, BLOCK = block).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc sort; &lt;BR /&gt;by TRT EXP WEEK;&lt;BR /&gt;RUN;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;PROC PRINT DATA=greenhouse;&lt;BR /&gt;run;&lt;BR /&gt;quit;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;PROC MEANS stderr noprint; by TRT EXP WEEK;&lt;BR /&gt;var adultm_p eggm_p totm_p trips_p adultm_r eggm_r totm_r thrips_r peprate roserate; &lt;BR /&gt;output out=avg&lt;BR /&gt;mean = Xadultm_p Xeggm_p Xtotm_p Xtrips_p Xadultm_r Xeggm_r Xtotm_r Xthrips_r Xpeprate Xroserate&lt;BR /&gt;stderr = Sadultm_p Seggm_p Stotm_p Strips_p Sadultm_r Seggm_r Stotm_r Sthrips_r Speprate Sroserate;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc print data=avg;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;PROC GLIMMIX DATA=greenhouse; &lt;BR /&gt;CLASS TRT WEEK EXP BLOCK CAGE;&lt;BR /&gt;MODEL thrips_r = TRT|BLOCK|EXP / dist=poi link=log s;&lt;BR /&gt;random intercept / subject=BLOCK;&lt;BR /&gt;random WEEK / type=ar(1) subject=CAGE(TRT*BLOCK) residual;&lt;BR /&gt;LSMEANS TRT/ PDIFF adjust=TUKEY; &lt;BR /&gt;RUN;&lt;/P&gt;</description>
      <pubDate>Thu, 16 Jan 2020 20:52:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Help-With-PROC-GLIMMIX-Error-Messages/m-p/617928#M29760</guid>
      <dc:creator>Nebulus</dc:creator>
      <dc:date>2020-01-16T20:52:34Z</dc:date>
    </item>
    <item>
      <title>Re: Help With PROC GLIMMIX Error Messages</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Help-With-PROC-GLIMMIX-Error-Messages/m-p/618254#M29761</link>
      <description>&lt;P&gt;This is not a code error.&amp;nbsp; Most likely, you don't have enough data to estimate desired parameters given the complexity of your model.&amp;nbsp; Alternatively, there is not enough variability in your data for the algorithms to do their job.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Solutions would be:&lt;/P&gt;
&lt;P&gt;- Simplify or change your model.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;- Get more data.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;- Introduce more variability.&lt;/P&gt;</description>
      <pubDate>Sat, 18 Jan 2020 14:56:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Help-With-PROC-GLIMMIX-Error-Messages/m-p/618254#M29761</guid>
      <dc:creator>Haris</dc:creator>
      <dc:date>2020-01-18T14:56:07Z</dc:date>
    </item>
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