<?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: Proc mixed LMM code for model temperature trend over time in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243922#M12872</link>
    <description>&lt;P&gt;And in obnoxious data mode (mine) - Are the sites where the data is measured exactly the same over the entire period time?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;One reason to ask is that many municipal temperature datasets have earlier data collected at the city hall or main post office but when an airport was built, or became a certain size, the location was moved to the airport. The asphalt/concrete and limited vegetation around airports tend to have a different temperature regime than the previous site.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;There is a commercially available data source with solar radiation data from the 1960's to 1990's that if not concerned carefully shows a noticeable "global dimming trend" as the instruments were often not well cleaned after installation and accumulated grime obstructed part of the measurement. So I implore folks to "Know thine instruments" before doing any modeling.&lt;/P&gt;</description>
    <pubDate>Fri, 15 Jan 2016 21:00:13 GMT</pubDate>
    <dc:creator>ballardw</dc:creator>
    <dc:date>2016-01-15T21:00:13Z</dc:date>
    <item>
      <title>Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243833#M12855</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Dear All,&lt;/P&gt;&lt;P&gt;I was trying to model the climate data (temperature) trend over time for combined sites using LMM Proc Mixed. I have 60 sites.&amp;nbsp; For each site I have temperature data from 1950-2000. I would like to see if the temperature trend is increasing or decreasing for all this 60 plot. To do this I would like to apply Proc Mixed. I have written the following code but its not working. &lt;SPAN&gt;There is no result at all. There is an error called "ERROR 180-322: Statement is not valid or it is used out of proper order."&lt;/SPAN&gt;Can you please help me. Thanks&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc mixed data= climate data;
   plot year temp;
   model year =  plot temp plot*temp;
run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 15 Jan 2016 17:38:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243833#M12855</guid>
      <dc:creator>sohelsayma</dc:creator>
      <dc:date>2016-01-15T17:38:02Z</dc:date>
    </item>
    <item>
      <title>Re: Proc LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243838#M12856</link>
      <description>&lt;P&gt;When code is "not working" please describe how it is not working or any symptoms.&lt;/P&gt;
&lt;P&gt;If there are error messages post the entire error message, preferably with the log contents.&lt;/P&gt;
&lt;P&gt;Is there no result at all? Are the results unexpected? Provide example data that duplicates the behavior if you cannot provide the actual data. Describe how the results are unexpected?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 15 Jan 2016 17:07:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243838#M12856</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2016-01-15T17:07:27Z</dc:date>
    </item>
    <item>
      <title>Re: Proc LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243839#M12857</link>
      <description>Sorry for not explaining clearly. There is no result at all. There is an error called "ERROR 180-322: Statement is not valid or it is used out of proper order."</description>
      <pubDate>Fri, 15 Jan 2016 17:10:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243839#M12857</guid>
      <dc:creator>sohelsayma</dc:creator>
      <dc:date>2016-01-15T17:10:59Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243859#M12858</link>
      <description>&lt;P&gt;There is no PLOT statement in PROC MIXED. Use the PLOTS= option on the PROC MIXED statement to reques ODS statistical graphics.&lt;/P&gt;</description>
      <pubDate>Fri, 15 Jan 2016 18:10:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243859#M12858</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2016-01-15T18:10:18Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243862#M12859</link>
      <description>Thanks for your reply. Actually I am very new in SAS. Just started 1 week ago. If you can write the than it is easy for me to understand. Sorry for the inconvenience.</description>
      <pubDate>Fri, 15 Jan 2016 18:17:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243862#M12859</guid>
      <dc:creator>sohelsayma</dc:creator>
      <dc:date>2016-01-15T18:17:25Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243872#M12861</link>
      <description>&lt;P&gt;You seem to have mixed (no pun) a few things. Try&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc mixed data= climate;
   class plot;
   model temp =  plot plot*year;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Fri, 15 Jan 2016 18:34:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243872#M12861</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2016-01-15T18:34:53Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243879#M12863</link>
      <description>Thanks a lot. I cant tell you how you saved me. Stay fine and healthy. Thanks again.</description>
      <pubDate>Fri, 15 Jan 2016 18:42:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243879#M12863</guid>
      <dc:creator>sohelsayma</dc:creator>
      <dc:date>2016-01-15T18:42:47Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243922#M12872</link>
      <description>&lt;P&gt;And in obnoxious data mode (mine) - Are the sites where the data is measured exactly the same over the entire period time?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;One reason to ask is that many municipal temperature datasets have earlier data collected at the city hall or main post office but when an airport was built, or became a certain size, the location was moved to the airport. The asphalt/concrete and limited vegetation around airports tend to have a different temperature regime than the previous site.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;There is a commercially available data source with solar radiation data from the 1960's to 1990's that if not concerned carefully shows a noticeable "global dimming trend" as the instruments were often not well cleaned after installation and accumulated grime obstructed part of the measurement. So I implore folks to "Know thine instruments" before doing any modeling.&lt;/P&gt;</description>
      <pubDate>Fri, 15 Jan 2016 21:00:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243922#M12872</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2016-01-15T21:00:13Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed LMM code for model temperature trend over time</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243928#M12873</link>
      <description>Thanks for raising this issue. The data set I have is obtained from a from Worldclim data set. The sites are a forest area where elevation, tree species composition are homogeneous. As there is lack of climate station so we had to depend on global data set called worldclim. Thanks</description>
      <pubDate>Fri, 15 Jan 2016 21:12:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-LMM-code-for-model-temperature-trend-over-time/m-p/243928#M12873</guid>
      <dc:creator>sohelsayma</dc:creator>
      <dc:date>2016-01-15T21:12:16Z</dc:date>
    </item>
  </channel>
</rss>

