<?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: Count in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162194#M31490</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Do you seek two answers?&lt;/P&gt;&lt;P&gt;&lt;A __default_attr="149594" __jive_macro_name="user" class="jive_macro jive_macro_user" data-objecttype="3" href="https://communities.sas.com/"&gt;&lt;/A&gt; had provided the first.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Adapt it to create a summary table that can be analysed with proc freq which provides those cumulative percentages more conveniently than tabulate&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc sql;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;CREATE TABLE summary1 AS&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp; select&amp;nbsp; mr_nbr, count(id) as how_many&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; from have&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; group by mr_nbr&lt;/P&gt;&lt;P&gt;&amp;nbsp; ;&lt;/P&gt;&lt;P&gt;quit ;&lt;/P&gt;&lt;P&gt;* generate cumulative frequency report ;&lt;/P&gt;&lt;P&gt;Proc freq data= summary1 ;&lt;/P&gt;&lt;P&gt;Table how_many ;&lt;/P&gt;&lt;P&gt;run ;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 07 Feb 2014 08:57:11 GMT</pubDate>
    <dc:creator>Peter_C</dc:creator>
    <dc:date>2014-02-07T08:57:11Z</dc:date>
    <item>
      <title>Count</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162191#M31487</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; mr_nbr&amp;nbsp; id&lt;BR /&gt;&amp;nbsp;&amp;nbsp; 123&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 001&lt;BR /&gt;&amp;nbsp;&amp;nbsp; 123&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 002&lt;BR /&gt;&amp;nbsp;&amp;nbsp; 234&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 003&lt;BR /&gt;&amp;nbsp;&amp;nbsp; 456&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 004&lt;BR /&gt;&amp;nbsp;&amp;nbsp; 456&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 005&lt;BR /&gt;&amp;nbsp;&amp;nbsp; 456&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 006&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;how to show that mr_nbr 123 has 2 different id's,456 has 3 different id's&lt;/P&gt;&lt;P&gt;and how to display that out of 3 different mr_nbrs there are&amp;nbsp; 2 mr_nbrs that have different id's i.e 60% have multiple id's&amp;nbsp; and reverse i.e how id and mr_nbr related&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Feb 2014 16:51:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162191#M31487</guid>
      <dc:creator>SASPhile</dc:creator>
      <dc:date>2014-02-04T16:51:49Z</dc:date>
    </item>
    <item>
      <title>Re: Count</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162192#M31488</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;data have;&lt;/P&gt;&lt;P&gt;&amp;nbsp; input mr_nbr&amp;nbsp; id $;&lt;/P&gt;&lt;P&gt;&amp;nbsp; cards;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; 123&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 001&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; 123&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 002&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; 234&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 003&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; 456&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 004&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; 456&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 005&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp; 456&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 006&lt;/P&gt;&lt;P&gt;;&lt;/P&gt;&lt;P&gt;proc sql;&lt;/P&gt;&lt;P&gt;&amp;nbsp; select distinct mr_nbr, count(id) as how_many&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; from have&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; group by mr_nbr&lt;/P&gt;&lt;P&gt;&amp;nbsp; ;&lt;/P&gt;&lt;P&gt;quit;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 04 Feb 2014 17:21:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162192#M31488</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2014-02-04T17:21:06Z</dc:date>
    </item>
    <item>
      <title>Re: Count</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162193#M31489</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Is there a better way to know the percent of mr_nbr that have more than one id?in this case out three mr_nbr 2 have more than one id. which is 66.6%&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 07 Feb 2014 00:05:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162193#M31489</guid>
      <dc:creator>SASPhile</dc:creator>
      <dc:date>2014-02-07T00:05:18Z</dc:date>
    </item>
    <item>
      <title>Re: Count</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162194#M31490</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Do you seek two answers?&lt;/P&gt;&lt;P&gt;&lt;A __default_attr="149594" __jive_macro_name="user" class="jive_macro jive_macro_user" data-objecttype="3" href="https://communities.sas.com/"&gt;&lt;/A&gt; had provided the first.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Adapt it to create a summary table that can be analysed with proc freq which provides those cumulative percentages more conveniently than tabulate&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc sql;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;CREATE TABLE summary1 AS&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp; select&amp;nbsp; mr_nbr, count(id) as how_many&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; from have&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; group by mr_nbr&lt;/P&gt;&lt;P&gt;&amp;nbsp; ;&lt;/P&gt;&lt;P&gt;quit ;&lt;/P&gt;&lt;P&gt;* generate cumulative frequency report ;&lt;/P&gt;&lt;P&gt;Proc freq data= summary1 ;&lt;/P&gt;&lt;P&gt;Table how_many ;&lt;/P&gt;&lt;P&gt;run ;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 07 Feb 2014 08:57:11 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Count/m-p/162194#M31490</guid>
      <dc:creator>Peter_C</dc:creator>
      <dc:date>2014-02-07T08:57:11Z</dc:date>
    </item>
  </channel>
</rss>

