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    <title>topic Re: How to drop the extremum in SAS Data Management</title>
    <link>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405403#M12355</link>
    <description>First, thank you for your valuable reminder.&lt;BR /&gt;&lt;BR /&gt;Since I want to get rid the influence of extremum on my standard deviation, I think I should consider duplicate numbers as one value. So, in your example, if I have 5 duplicates of 100, they would all be gone. They are considered one value, not five.</description>
    <pubDate>Thu, 19 Oct 2017 02:54:56 GMT</pubDate>
    <dc:creator>Xinhui</dc:creator>
    <dc:date>2017-10-19T02:54:56Z</dc:date>
    <item>
      <title>How to drop the extremum</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405387#M12352</link>
      <description>&lt;P&gt;Let's suppose I have 100 values in my data set. If I want to drop the three highest values, as well as the three lowest values, what&amp;nbsp;code would best accomplish this?&lt;/P&gt;</description>
      <pubDate>Wed, 18 Oct 2017 23:53:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405387#M12352</guid>
      <dc:creator>Xinhui</dc:creator>
      <dc:date>2017-10-18T23:53:18Z</dc:date>
    </item>
    <item>
      <title>Re: How to drop the extremum</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405390#M12353</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data x;
do i = 1 to 100;
   r = uniform(368);
output;
end;
run;&lt;BR /&gt;
proc sort data=x; by r; run;&lt;BR /&gt;
data x2;
   set x;
   if _n_ gt 3 and _n_ lt 98;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 19 Oct 2017 00:14:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405390#M12353</guid>
      <dc:creator>WarrenKuhfeld</dc:creator>
      <dc:date>2017-10-19T00:14:57Z</dc:date>
    </item>
    <item>
      <title>Re: How to drop the extremum</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405396#M12354</link>
      <description>&lt;P&gt;How are you planning to deal with duplicates. If you have 5 values of 100 as the highest, do all 5 go? What about the next 3 99s?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The rules are ambiguous.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 19 Oct 2017 01:42:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405396#M12354</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-10-19T01:42:54Z</dc:date>
    </item>
    <item>
      <title>Re: How to drop the extremum</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405403#M12355</link>
      <description>First, thank you for your valuable reminder.&lt;BR /&gt;&lt;BR /&gt;Since I want to get rid the influence of extremum on my standard deviation, I think I should consider duplicate numbers as one value. So, in your example, if I have 5 duplicates of 100, they would all be gone. They are considered one value, not five.</description>
      <pubDate>Thu, 19 Oct 2017 02:54:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405403#M12355</guid>
      <dc:creator>Xinhui</dc:creator>
      <dc:date>2017-10-19T02:54:56Z</dc:date>
    </item>
    <item>
      <title>Re: How to drop the extremum</title>
      <link>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405408#M12356</link>
      <description>&lt;P&gt;If that’s the goal look at the TRIMMED and/or WINDSOR option in PROC UNIVARIATE.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 19 Oct 2017 03:57:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Management/How-to-drop-the-extremum/m-p/405408#M12356</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2017-10-19T03:57:03Z</dc:date>
    </item>
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