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    <title>topic Re: Quintiles! in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44097#M1938</link>
    <description>Thanks this was helpful!&lt;BR /&gt;
What if I needed to trim for the outliers (1%) before ranking for the quintiles?</description>
    <pubDate>Thu, 21 Jan 2010 18:36:53 GMT</pubDate>
    <dc:creator>deleted_user</dc:creator>
    <dc:date>2010-01-21T18:36:53Z</dc:date>
    <item>
      <title>Quintiles!</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44095#M1936</link>
      <description>Hi everybody, &lt;BR /&gt;
-I want to get my sample divided into 5 quintiles based on the variable "v1".&lt;BR /&gt;
Can you help me in this?&lt;BR /&gt;
Cheers, Malek</description>
      <pubDate>Thu, 21 Jan 2010 11:07:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44095#M1936</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-01-21T11:07:38Z</dc:date>
    </item>
    <item>
      <title>Re: Quintiles!</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44096#M1937</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc rank data=sashelp.class out=quintiles &lt;STRONG&gt;groups=5&lt;/STRONG&gt;;
 var weight;
 ranks q;
run;
proc print;
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;BLOCKQUOTE&gt;&lt;SPAN&gt;What if I needed to trim for the outliers (1%) before ranking for the quintiles?&lt;/SPAN&gt;&amp;nbsp;&lt;BR /&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&lt;BR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13573"&gt;@Paige&lt;/a&gt;&amp;nbsp;answered:&amp;nbsp;&lt;SPAN&gt;Proc Rank or Proc Univariate can inform you which data points are in the top or bottom 1%.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;See more &lt;A href="http://blogs.sas.com/content/iml/2017/02/08/winsorization-good-bad-and-ugly.html" target="_self"&gt;discussion about Winsorization and trimmed means in this blog post&lt;/A&gt;.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 02 Jun 2017 13:06:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44096#M1937</guid>
      <dc:creator>data_null__</dc:creator>
      <dc:date>2017-06-02T13:06:20Z</dc:date>
    </item>
    <item>
      <title>Re: Quintiles!</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44097#M1938</link>
      <description>Thanks this was helpful!&lt;BR /&gt;
What if I needed to trim for the outliers (1%) before ranking for the quintiles?</description>
      <pubDate>Thu, 21 Jan 2010 18:36:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44097#M1938</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-01-21T18:36:53Z</dc:date>
    </item>
    <item>
      <title>Re: Quintiles!</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44098#M1939</link>
      <description>Proc Rank or Proc Univariate can inform you which data points are in the top or bottom 1%.</description>
      <pubDate>Thu, 21 Jan 2010 19:21:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Quintiles/m-p/44098#M1939</guid>
      <dc:creator>Paige</dc:creator>
      <dc:date>2010-01-21T19:21:01Z</dc:date>
    </item>
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