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    <title>topic Re: homogeneous distribution in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267407#M14085</link>
    <description>Ou God. I understand something now. It is more like a SAS/OR problem. Is there any OBJECT function ? I believe there are  lots of combination suited your requirement . Whether you want the minimize number of each GROUP or want the minimize difference of each GROUP ?</description>
    <pubDate>Sat, 30 Apr 2016 12:37:43 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2016-04-30T12:37:43Z</dc:date>
    <item>
      <title>homogeneous distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267384#M14077</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I need help :), &lt;SPAN&gt;have to make a random homogeneous distribution of the observations on the basis of the amount of a given variable&lt;/SPAN&gt;.&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;I have a set of records that must be assigned to specific entities based on certain percentages&lt;/SPAN&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Example (basetable):&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;ID &amp;nbsp;COUNT AMOUNT&amp;nbsp;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;1&amp;nbsp;&amp;nbsp;&amp;nbsp;1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;300&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;2&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 150&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;3&amp;nbsp;&amp;nbsp; 2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 500&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;4&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 200&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;5&amp;nbsp;&amp;nbsp; 3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 700&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT face="arial,helvetica,sans-serif"&gt;entities&amp;nbsp;and percentages&amp;nbsp;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;ENTITY&amp;nbsp;&amp;nbsp;PERCENTAGE&amp;nbsp;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;A&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;20%&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;B&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;70%&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&lt;FONT face="courier new,courier"&gt;C&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 10%&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT face="arial,helvetica,sans-serif"&gt;&lt;SPAN&gt;how can I assign the correct values ​​of COUNT and AMOUNT entities A, B and C in relation to their proportion in the most consistent and fair as possible ?&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT face="arial,helvetica,sans-serif"&gt;&lt;SPAN&gt;you may kindly direct me some examples? &lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;FONT face="arial,helvetica,sans-serif"&gt;&lt;SPAN&gt;Thank you so much , Isabel&lt;/SPAN&gt;&lt;/FONT&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 30 Apr 2016 05:14:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267384#M14077</guid>
      <dc:creator>Isabel</dc:creator>
      <dc:date>2016-04-30T05:14:32Z</dc:date>
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    <item>
      <title>Re: homogeneous distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267392#M14079</link>
      <description>Your post is ambiguous . What output would you like to see ?</description>
      <pubDate>Sat, 30 Apr 2016 06:44:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267392#M14079</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-04-30T06:44:23Z</dc:date>
    </item>
    <item>
      <title>Re: homogeneous distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267397#M14080</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV&gt;for example:&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;A 20% COUNT: 1.6 AMOUNT: 370&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;B 70% COUNT: 5.6 AMOUNT:1295&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;C 10% COUNT: 0.8 AMOUNT: 185&lt;/FONT&gt;&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;&lt;FONT face="courier new,courier"&gt;so:&lt;/FONT&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;FONT face="courier new,courier"&gt;ID&amp;nbsp;&amp;nbsp;COUNT&amp;nbsp;AMOUNT&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;1&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 300&amp;nbsp; =&amp;gt;&amp;nbsp;A&amp;nbsp; &lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;2&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 150&amp;nbsp; =&amp;gt; A&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;3&amp;nbsp;&amp;nbsp; 2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 500&amp;nbsp; =&amp;gt; B&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;4&amp;nbsp;&amp;nbsp; 1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 200&amp;nbsp; =&amp;gt;&amp;nbsp;C&amp;nbsp; &lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;5&amp;nbsp;&amp;nbsp; 3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 700&amp;nbsp; =&amp;gt; B&lt;/FONT&gt;&lt;/DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;&lt;FONT face="courier new,courier"&gt;A =&amp;gt;COUNT: 2 AMOUNT: 450&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;B =&amp;gt;COUNT: 5 AMOUNT: 1200&lt;/FONT&gt;&lt;BR /&gt;&lt;FONT face="courier new,courier"&gt;C =&amp;gt;COUNT: 1 AMOUNT: 200&lt;/FONT&gt;&lt;/DIV&gt;</description>
      <pubDate>Sat, 30 Apr 2016 07:21:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267397#M14080</guid>
      <dc:creator>Isabel</dc:creator>
      <dc:date>2016-04-30T07:21:16Z</dc:date>
    </item>
    <item>
      <title>Re: homogeneous distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267399#M14081</link>
      <description>&lt;P&gt;Hi Isabel.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Is there a rule that determines the assignment of data to groups A, B and C? Or do you want this to be random, ending up with the proportions indicated (20% of obervations in group A, etc.)?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If the latter, then AnnMaria might have the solution: &lt;A href="http://www.thejuliagroup.com/blog/?p=2599" target="_blank"&gt;http://www.thejuliagroup.com/blog/?p=2599&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 30 Apr 2016 09:30:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267399#M14081</guid>
      <dc:creator>Norman21</dc:creator>
      <dc:date>2016-04-30T09:30:03Z</dc:date>
    </item>
    <item>
      <title>Re: homogeneous distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267404#M14083</link>
      <description>&lt;P&gt;Proc SurveySelect is generally used for sample selection and you can specify proportions but I can't see how A/B/C tie back to your original data. Otherwise it seems a bit like three samples just stacked together.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 30 Apr 2016 11:08:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267404#M14083</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-04-30T11:08:03Z</dc:date>
    </item>
    <item>
      <title>Re: homogeneous distribution</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267407#M14085</link>
      <description>Ou God. I understand something now. It is more like a SAS/OR problem. Is there any OBJECT function ? I believe there are  lots of combination suited your requirement . Whether you want the minimize number of each GROUP or want the minimize difference of each GROUP ?</description>
      <pubDate>Sat, 30 Apr 2016 12:37:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/homogeneous-distribution/m-p/267407#M14085</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2016-04-30T12:37:43Z</dc:date>
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