<?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: weighted percentiles in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294133#M60006</link>
    <description>&lt;P&gt;By any chance is your RKVol variable a COUNT type variable? If so then you may want to use FREQ instead of Weight.&lt;/P&gt;
&lt;P&gt;That will in effect replicate each value of your variable RKVol times.&lt;/P&gt;</description>
    <pubDate>Thu, 25 Aug 2016 18:34:50 GMT</pubDate>
    <dc:creator>ballardw</dc:creator>
    <dc:date>2016-08-25T18:34:50Z</dc:date>
    <item>
      <title>weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294127#M60003</link>
      <description>&lt;P&gt;Hello All, I am wondering whether it is possible to calculate weighted percentiles using proc means.&lt;/P&gt;
&lt;P&gt;When I use this syntax, it seems only mean is weighed.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;proc&lt;/STRONG&gt; &lt;STRONG&gt;means&lt;/STRONG&gt; data= sodiumdata2009 min max mean median p10 q1 q3 noprint;&lt;/P&gt;
&lt;P&gt;by Level_1;&lt;/P&gt;
&lt;P&gt;var sodp100g;&lt;/P&gt;
&lt;P&gt;weight RKVol;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;run&lt;/STRONG&gt;;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Any suggestions?&lt;/P&gt;
&lt;P&gt;Thank you!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:15:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294127#M60003</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T18:15:49Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294131#M60004</link>
      <description>&lt;P&gt;Why not use proc univariate? But I'm not quite sure what you are looking for because you included a noprint option. Are you trying to output this to another dataset, or look at it in the Results viewer, or something else entirely?&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:28:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294131#M60004</guid>
      <dc:creator>overmar</dc:creator>
      <dc:date>2016-08-25T18:28:05Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294132#M60005</link>
      <description>&lt;P&gt;The percentiles are affected as far as I can tell.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Perhaps your data isn't affected by the weights for some reason?&lt;/P&gt;
&lt;P&gt;If the weights are small?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data check;
set sashelp.class;
x=floor(rand('uniform')*8)+1;
run;

proc means data=check n p5 p10 p90 p95;
title 'no weights';
var weight;
run;

proc means data=check n p5 p10 p90 p95;
title 'weights';
var weight;
weight x;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:32:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294132#M60005</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2016-08-25T18:32:30Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294133#M60006</link>
      <description>&lt;P&gt;By any chance is your RKVol variable a COUNT type variable? If so then you may want to use FREQ instead of Weight.&lt;/P&gt;
&lt;P&gt;That will in effect replicate each value of your variable RKVol times.&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:34:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294133#M60006</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2016-08-25T18:34:50Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294143#M60008</link>
      <description>&lt;P style="margin: 0cm 0cm 0pt;"&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: &amp;quot;Helvetica&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 10.5pt;"&gt;In my&amp;nbsp;code I have&amp;nbsp;an output statement that I deleted when posted the code. Sorry for the confusion. of course I need to see the results. &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:52:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294143#M60008</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T18:52:12Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294144#M60009</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I compared weighted and unweighted stats and saw that only mean is affected. The other stats such as min to max did not change, so I thought maybe I am missing some option that would allow to obtain weighed min---max stats.&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:57:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294144#M60009</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T18:57:12Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294145#M60010</link>
      <description>&lt;P&gt;So how about:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;proc univariate data=sodiumdata2009 noprint;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; by Level_1&lt;BR /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; var sodp100g;&lt;BR /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; weight RKVol;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; output out=want min=min max=max mean=mean p10=p10 q1=q1 q3=q3;&lt;BR /&gt;run;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:57:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294145#M60010</guid>
      <dc:creator>overmar</dc:creator>
      <dc:date>2016-08-25T18:57:36Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294147#M60011</link>
      <description>&lt;P style="margin: 0cm 0cm 0pt;"&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: &amp;quot;Helvetica&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 10.5pt;"&gt;It is not an integer &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 18:58:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294147#M60011</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T18:58:24Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294148#M60012</link>
      <description>&lt;P&gt;I have the same&amp;nbsp; looking code:&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#000080" face="Courier New" size="4"&gt;&lt;STRONG&gt;proc&lt;/STRONG&gt;&lt;/FONT&gt; &lt;STRONG&gt;&lt;FONT color="#000080" face="Courier New" size="4"&gt;means&lt;/FONT&gt;&lt;/STRONG&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;data&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;=data2009.sodiumdata2009 &lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;min&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;max&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;mean&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;median&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;p10&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;q1&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;q3&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;noprint&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;by&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt; Level_1;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;var&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt; sodp100g;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;weight&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt; RKVol;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;output&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt; &lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;out&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=Weighted_2009data &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;mean&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=mean_per100gr_sodium_mg2009 &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;min&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=Min_per100gr_sodium_mg2009 &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;median&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=median_per100gr_sodium_mg2009 &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;p10&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=_10th_2009 &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;q1&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=_25th_2009 &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;q3&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=_75th_2009 &lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;&lt;FONT color="#0000ff" face="Courier New" size="4"&gt;max&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;=Max_per100gr_sodium_mg2009;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT color="#000080" face="Courier New" size="4"&gt;&lt;FONT color="#000080" face="Courier New" size="4"&gt;&lt;FONT color="#000080" face="Courier New" size="4"&gt;&lt;STRONG&gt;run&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/FONT&gt;&lt;FONT face="Courier New" size="4"&gt;&lt;FONT face="Courier New" size="4"&gt;;&lt;/FONT&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 19:00:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294148#M60012</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T19:00:03Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294153#M60013</link>
      <description>&lt;P&gt;So it doesn't look like the weight has an effect on the min and max, but that it does on everyother value.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc univariate data=sashelp.bweight noprint;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;var Weight;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;weight MomWtGain;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;output out=goofy1 min=min max=max mean=mean p10=p10 q1=q1 q3=q3;&lt;BR /&gt;run;&lt;BR /&gt;proc univariate data=sashelp.bweight noprint;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;var Weight;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;output out=goofy2 min=min max=max mean=mean p10=p10 q1=q1 q3=q3;&lt;BR /&gt;run;&lt;BR /&gt;&lt;BR /&gt;proc means data=sashelp.bweight noprint;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;var Weight;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;weight MomWtGain;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;output out=goofy3 min=min max=max mean=mean p10=p10 q1=q1 q3=q3;&lt;BR /&gt;run;&lt;BR /&gt;proc univariate data=sashelp.bweight noprint;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;var Weight;&lt;BR /&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp;output out=goofy4 min=min max=max mean=mean p10=p10 q1=q1 q3=q3;&lt;BR /&gt;run;&lt;BR /&gt;&lt;BR /&gt;proc sql;&lt;BR /&gt;create table goofy as&lt;BR /&gt;select distinct min, max, mean, p10, q1, q3, "Univariate no weight" as type from goofy2&lt;BR /&gt;union corr&lt;BR /&gt;select distinct min, max, mean, p10, q1, q3, "Univariate weighted" as type from goofy1&lt;BR /&gt;union corr&lt;BR /&gt;select distinct min, max, mean, p10, q1, q3, "Means no weight" as type from goofy4&lt;BR /&gt;union corr&lt;BR /&gt;select distinct min, max, mean, p10, q1, q3, "Means weighted" as type from goofy3;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;However thats because a weight statement only makes that observation more valuable to the statistic, it doesn't actually change the real value of the variable. Hence the reason that the min and max never change, but the computed statistics do change. Oh and there is no difference between proc means and proc univariate outputs, thats what the above shows.&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 19:13:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294153#M60013</guid>
      <dc:creator>overmar</dc:creator>
      <dc:date>2016-08-25T19:13:57Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294154#M60014</link>
      <description>&lt;P style="margin: 0cm 0cm 0pt;"&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: &amp;quot;Helvetica&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 10.5pt;"&gt;Hi Reeza,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P style="margin: 0cm 0cm 0pt;"&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: &amp;quot;Helvetica&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 10.5pt;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P style="margin: 0cm 0cm 0pt;"&gt;&lt;SPAN style="color: rgb(51, 51, 51); font-family: &amp;quot;Helvetica&amp;quot;,&amp;quot;sans-serif&amp;quot;; font-size: 10.5pt;"&gt;When I ran your code I saw the difference in only one value, so I went back to my data and did more checking. Same as in your example I now see the difference in a very few values, so I guess the weighting is working. I kind of expected to see all weighted values to be different from unweighted one. Problem solved! Thank you All for contribution!&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 19:14:53 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294154#M60014</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T19:14:53Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294176#M60016</link>
      <description>&lt;P&gt;Percentiles generally will not be effected by a weight value,&amp;nbsp;though would by a freq, since they are ORDER statistics. The smallest stays the smallest, the largest the largest and the sort order of the variable does not change.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 20:07:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294176#M60016</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2016-08-25T20:07:27Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294186#M60019</link>
      <description>&lt;P&gt;thank you!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 20:27:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294186#M60019</guid>
      <dc:creator>Lida</dc:creator>
      <dc:date>2016-08-25T20:27:31Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294197#M60022</link>
      <description>&lt;P&gt;I wanted to look a bit farther into this, and this is what I found. &lt;A href="https://communities.sas.com/t5/SAS-Procedures/Weighted-v-Unweighted-data-in-proc-means-and-proc-univariate/m-p/294196#M60021" target="_blank"&gt;https://communities.sas.com/t5/SAS-Procedures/Weighted-v-Unweighted-data-in-proc-means-and-proc-univariate/m-p/294196#M60021&lt;/A&gt; so maybe don't use the standard deviation, but all of the other statistics that you have shouldn't really be affected too much.&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 21:12:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294197#M60022</guid>
      <dc:creator>overmar</dc:creator>
      <dc:date>2016-08-25T21:12:29Z</dc:date>
    </item>
    <item>
      <title>Re: weighted percentiles</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294201#M60025</link>
      <description>&lt;P&gt;Oh and apparently include QMETHOD=OS in the proc statement.&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/viewer.htm#a000146736.htm" target="_blank"&gt;http://support.sas.com/documentation/cdl/en/proc/61895/HTML/default/viewer.htm#a000146736.htm&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 25 Aug 2016 21:21:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/weighted-percentiles/m-p/294201#M60025</guid>
      <dc:creator>overmar</dc:creator>
      <dc:date>2016-08-25T21:21:54Z</dc:date>
    </item>
  </channel>
</rss>

