<?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 repeatability coefficient in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765850#M37447</link>
    <description>&lt;P&gt;You might try:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc mixed data=have;
class time subjid;
model response = time;
random time/subject=subjid &amp;lt;if you want to structure the relationship over time you would insert a type= here&amp;gt; solution;
ods output covparms=covparms;
run;

data covparms2;
set covparms;
totalvar=estimate+lag(estimate);
repeatability=lag(estimate)/(estimate + lag(estimate));
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;it is actually quite a bit harder to do using a REPEATED statement, but this should get you started.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 03 Sep 2021 13:16:16 GMT</pubDate>
    <dc:creator>SteveDenham</dc:creator>
    <dc:date>2021-09-03T13:16:16Z</dc:date>
    <item>
      <title>Proc mixed repeatability coefficient</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765450#M37446</link>
      <description>&lt;P&gt;Hi all. this is a general question i'm afraid. &lt;SPAN&gt;I have data that repeat over time for each individuals and I want to compute a repeatability coefficient as r = variance within individual / (variance within individual + variance across individuals). Is there a way to get those parameters with SAS proc mixed? Thanks.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 01 Sep 2021 17:16:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765450#M37446</guid>
      <dc:creator>MrTh</dc:creator>
      <dc:date>2021-09-01T17:16:13Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed repeatability coefficient</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765850#M37447</link>
      <description>&lt;P&gt;You might try:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc mixed data=have;
class time subjid;
model response = time;
random time/subject=subjid &amp;lt;if you want to structure the relationship over time you would insert a type= here&amp;gt; solution;
ods output covparms=covparms;
run;

data covparms2;
set covparms;
totalvar=estimate+lag(estimate);
repeatability=lag(estimate)/(estimate + lag(estimate));
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;it is actually quite a bit harder to do using a REPEATED statement, but this should get you started.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 03 Sep 2021 13:16:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765850#M37447</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2021-09-03T13:16:16Z</dc:date>
    </item>
    <item>
      <title>Re: Proc mixed repeatability coefficient</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765852#M37448</link>
      <description>&lt;P&gt;Hi Steven&lt;/P&gt;
&lt;P&gt;that is awesome!&amp;nbsp;&lt;/P&gt;
&lt;P&gt;i was looking into that and you confirmed all.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;many thanks&lt;/P&gt;</description>
      <pubDate>Fri, 03 Sep 2021 13:20:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Proc-mixed-repeatability-coefficient/m-p/765852#M37448</guid>
      <dc:creator>MrTh</dc:creator>
      <dc:date>2021-09-03T13:20:40Z</dc:date>
    </item>
  </channel>
</rss>

