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    <title>topic Re: predicted and observed values in one dataset in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669614#M31976</link>
    <description>&lt;P&gt;The output from the OUTPUT statement in PROC GLM will contain the actual Y value, the predicted value and the residual value, if you use the proper options. P=PRED is the option that produces predicted values, R=RESID is the option that produces residual values.&lt;/P&gt;</description>
    <pubDate>Wed, 15 Jul 2020 17:39:49 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2020-07-15T17:39:49Z</dc:date>
    <item>
      <title>predicted and observed values in one dataset</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669611#M31975</link>
      <description>&lt;P&gt;I have a regression model that I fitted with proc glm. I want to have both observed and predicted values of my response variable. Then I want to group each into 100 groups (by rank) and find AVERAGE and STD per group for each column:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; Y&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; YRank&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Yhat&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; YhatRank&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;23&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;20.2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;22.8&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;21.5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;15.8&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;16.2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;11.2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 9.8&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; 8.7&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;10&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; ...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; ...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;...&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;So then:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;group&amp;nbsp; &amp;nbsp; &amp;nbsp;avg_Y&amp;nbsp; &amp;nbsp; &amp;nbsp;std_Y&amp;nbsp; &amp;nbsp; &amp;nbsp;avg_Yhat&amp;nbsp; &amp;nbsp; &amp;nbsp;std_Yhat&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 11.9&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1.1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;9.9&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2.1&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 22.9&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1.7&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 18.2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;1.9&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; ...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;...&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;100&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; ...&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; ....&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; ...&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Your help would be greatly appreciated!&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jul 2020 17:45:45 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669611#M31975</guid>
      <dc:creator>mh2t</dc:creator>
      <dc:date>2020-07-15T17:45:45Z</dc:date>
    </item>
    <item>
      <title>Re: predicted and observed values in one dataset</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669614#M31976</link>
      <description>&lt;P&gt;The output from the OUTPUT statement in PROC GLM will contain the actual Y value, the predicted value and the residual value, if you use the proper options. P=PRED is the option that produces predicted values, R=RESID is the option that produces residual values.&lt;/P&gt;</description>
      <pubDate>Wed, 15 Jul 2020 17:39:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669614#M31976</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2020-07-15T17:39:49Z</dc:date>
    </item>
    <item>
      <title>Re: predicted and observed values in one dataset</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669616#M31977</link>
      <description>Did you check the OUTPUT statement in PROC GLM? There's examples towards the bottom and then run a PROC MEANS on your output data set.&lt;BR /&gt;&lt;BR /&gt;&lt;A href="https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_glm_syntax17.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en" target="_blank"&gt;https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_glm_syntax17.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en&lt;/A&gt;</description>
      <pubDate>Wed, 15 Jul 2020 17:39:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/predicted-and-observed-values-in-one-dataset/m-p/669616#M31977</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2020-07-15T17:39:52Z</dc:date>
    </item>
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