<?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: Missing Values in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543387#M150208</link>
    <description>&lt;P&gt;Add a filter using a WHERE statement.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For example:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data want;
set sashelp.heart;
where missing(deathCause); *filter for only records with missing deathCause;
keep _all_; *keep only variables of interest;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/264213"&gt;@mariamon0&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;There were many different variables that the subject IDs have. Im only looking to see if the subject IDs (there are over 500) are missing cholesterol values. There is only one single cholesterol value for each subject ID. I would like a list of all subject Ids with missing cholesterol values.&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 15 Mar 2019 02:07:19 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2019-03-15T02:07:19Z</dc:date>
    <item>
      <title>Missing Values</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543355#M150200</link>
      <description>&lt;P&gt;How would I list the missing values of a particular variable?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;for instance how would I list subject IDs (Variable is ID-numeric variable) who have missing cholesterol values (variable col-numeric variable) in sas code?&lt;/P&gt;</description>
      <pubDate>Thu, 14 Mar 2019 23:27:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543355#M150200</guid>
      <dc:creator>mariamon0</dc:creator>
      <dc:date>2019-03-14T23:27:57Z</dc:date>
    </item>
    <item>
      <title>Re: Missing Values</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543362#M150202</link>
      <description>&lt;P&gt;Questions like this is a lot easier to answer if you show us some example data to work with &lt;span class="lia-unicode-emoji" title=":slightly_smiling_face:"&gt;🙂&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Are there multiple observations for the same ID? And should the ID have all missing&amp;nbsp;&lt;SPAN&gt;cholesterol values or is a single missing enough?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 14 Mar 2019 23:42:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543362#M150202</guid>
      <dc:creator>PeterClemmensen</dc:creator>
      <dc:date>2019-03-14T23:42:03Z</dc:date>
    </item>
    <item>
      <title>Re: Missing Values</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543365#M150203</link>
      <description>&lt;P&gt;There were many different variables that the subject IDs have. Im only looking to see if the subject IDs (there are over 500) are missing cholesterol values. There is only one single cholesterol value for each subject ID. I would like a list of all subject Ids with missing cholesterol values.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 14 Mar 2019 23:45:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543365#M150203</guid>
      <dc:creator>mariamon0</dc:creator>
      <dc:date>2019-03-14T23:45:06Z</dc:date>
    </item>
    <item>
      <title>Re: Missing Values</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543387#M150208</link>
      <description>&lt;P&gt;Add a filter using a WHERE statement.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;For example:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data want;
set sashelp.heart;
where missing(deathCause); *filter for only records with missing deathCause;
keep _all_; *keep only variables of interest;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/264213"&gt;@mariamon0&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;There were many different variables that the subject IDs have. Im only looking to see if the subject IDs (there are over 500) are missing cholesterol values. There is only one single cholesterol value for each subject ID. I would like a list of all subject Ids with missing cholesterol values.&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 15 Mar 2019 02:07:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543387#M150208</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2019-03-15T02:07:19Z</dc:date>
    </item>
    <item>
      <title>Re: Missing Values</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543388#M150209</link>
      <description>&lt;P&gt;Getting a list is easy:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc print data=have;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;where cholesterol = .;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;var subject_id;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;title 'IDs for subjects who are missing Cholesterol measurement';&lt;/P&gt;
&lt;P&gt;run;&lt;/P&gt;</description>
      <pubDate>Fri, 15 Mar 2019 02:17:38 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Missing-Values/m-p/543388#M150209</guid>
      <dc:creator>Astounding</dc:creator>
      <dc:date>2019-03-15T02:17:38Z</dc:date>
    </item>
  </channel>
</rss>

