<?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: Data from one dataset based on number of observations in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429360#M106060</link>
    <description>&lt;P&gt;Show us some sample of your data, makes it much easier to help you.&lt;/P&gt;</description>
    <pubDate>Sat, 20 Jan 2018 09:14:09 GMT</pubDate>
    <dc:creator>PeterClemmensen</dc:creator>
    <dc:date>2018-01-20T09:14:09Z</dc:date>
    <item>
      <title>Data from one dataset based on number of observations</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429358#M106058</link>
      <description>&lt;P&gt;Hello all,&lt;BR /&gt;&lt;BR /&gt;I have a dataset wherein I have 1 lakh records based on data I need 300 samples of each based on one variable for example :&lt;BR /&gt;&lt;BR /&gt;I have dataset which has data for India,Singapore,Malaysia&lt;BR /&gt;&lt;BR /&gt;So I need 100 for India 100 for Singapore and 100 for Malaysia in one dataset . I cannot use where condition because I have more than 300 conditions for which I need 100 data in one dataset.&lt;BR /&gt;&lt;BR /&gt;Any suggestion would really appreciate.&lt;/P&gt;</description>
      <pubDate>Sat, 20 Jan 2018 08:36:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429358#M106058</guid>
      <dc:creator>india2016</dc:creator>
      <dc:date>2018-01-20T08:36:30Z</dc:date>
    </item>
    <item>
      <title>Re: Data from one dataset based on number of observations</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429359#M106059</link>
      <description>&lt;P&gt;Do you need 300 samples or 1 sample of 300 observations?&lt;/P&gt;</description>
      <pubDate>Sat, 20 Jan 2018 09:13:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429359#M106059</guid>
      <dc:creator>PeterClemmensen</dc:creator>
      <dc:date>2018-01-20T09:13:13Z</dc:date>
    </item>
    <item>
      <title>Re: Data from one dataset based on number of observations</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429360#M106060</link>
      <description>&lt;P&gt;Show us some sample of your data, makes it much easier to help you.&lt;/P&gt;</description>
      <pubDate>Sat, 20 Jan 2018 09:14:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429360#M106060</guid>
      <dc:creator>PeterClemmensen</dc:creator>
      <dc:date>2018-01-20T09:14:09Z</dc:date>
    </item>
    <item>
      <title>Re: Data from one dataset based on number of observations</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429361#M106061</link>
      <description>&lt;P&gt;It sounds like you want simple random sampling by strata. The following SESUG paper describes this well (example 2 on page 7):&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.lexjansen.com/sesug/2015/190_Final_PDF.pdf" target="_blank"&gt;https://www.lexjansen.com/sesug/2015/190_Final_PDF.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 20 Jan 2018 09:20:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Data-from-one-dataset-based-on-number-of-observations/m-p/429361#M106061</guid>
      <dc:creator>Norman21</dc:creator>
      <dc:date>2018-01-20T09:20:52Z</dc:date>
    </item>
  </channel>
</rss>

