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    <title>topic Re: RAND and RANNOR parameters in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48422#M10010</link>
    <description>Doc,&lt;BR /&gt;
&lt;BR /&gt;
Yes, I both saw that post and emailed the paper's author the same day as I posted my response to the current thread.  If she resonds, I'll post the answer here.&lt;BR /&gt;
&lt;BR /&gt;
Art</description>
    <pubDate>Sun, 12 Dec 2010 18:05:28 GMT</pubDate>
    <dc:creator>art297</dc:creator>
    <dc:date>2010-12-12T18:05:28Z</dc:date>
    <item>
      <title>RAND and RANNOR parameters</title>
      <link>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48419#M10007</link>
      <description>Hi everyone,&lt;BR /&gt;
&lt;BR /&gt;
I have a question.  Is possible to generate a random numbers from a normal and T distribution with a given minimum and maximum possible values?&lt;BR /&gt;
&lt;BR /&gt;
For example, given the following parameters: a minimum possible value of -15, a maximum of 40, a mean of 9.5, and a variance of 50...&lt;BR /&gt;
&lt;BR /&gt;
What is a correct SAS code so I can obtain a pseudo-population with these parameters using both the RANNOR and the RAND functions?&lt;BR /&gt;
&lt;BR /&gt;
In other words how can I obtain a pseudo-population whose parameters can be similar to the "real population" under study using RANNOR and RAND functions? &lt;BR /&gt;
&lt;BR /&gt;
Thanks in advance for your help.</description>
      <pubDate>Sat, 11 Dec 2010 05:15:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48419#M10007</guid>
      <dc:creator>deleted_user</dc:creator>
      <dc:date>2010-12-11T05:15:42Z</dc:date>
    </item>
    <item>
      <title>Re: RAND and RANNOR parameters</title>
      <link>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48420#M10008</link>
      <description>Caramel,&lt;BR /&gt;
&lt;BR /&gt;
According to the following SUGI 31 paper, a macro exists that does what you are looking to accomplish:&lt;BR /&gt;
&lt;BR /&gt;
&lt;A href="http://www2.sas.com/proceedings/sugi31/198-31.pdf" target="_blank"&gt;http://www2.sas.com/proceedings/sugi31/198-31.pdf&lt;/A&gt;&lt;BR /&gt;
&lt;BR /&gt;
However, I've been unable to obtain a copy of that macro.  If anyone has it, I'd appreciate knowing how to find it.&lt;BR /&gt;
&lt;BR /&gt;
Art</description>
      <pubDate>Sat, 11 Dec 2010 23:35:36 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48420#M10008</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2010-12-11T23:35:36Z</dc:date>
    </item>
    <item>
      <title>Re: RAND and RANNOR parameters</title>
      <link>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48421#M10009</link>
      <description>Art,&lt;BR /&gt;
&lt;BR /&gt;
It looks like the author is still at Sanofi-Aventis.  Have you tried to e-mail or call her directly.&lt;BR /&gt;
&lt;BR /&gt;
Someone else was looking for the macro on SAS-L a couple of years ago, but had no follow-up.&lt;BR /&gt;
&lt;BR /&gt;
Doc</description>
      <pubDate>Sun, 12 Dec 2010 17:56:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48421#M10009</guid>
      <dc:creator>Doc_Duke</dc:creator>
      <dc:date>2010-12-12T17:56:15Z</dc:date>
    </item>
    <item>
      <title>Re: RAND and RANNOR parameters</title>
      <link>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48422#M10010</link>
      <description>Doc,&lt;BR /&gt;
&lt;BR /&gt;
Yes, I both saw that post and emailed the paper's author the same day as I posted my response to the current thread.  If she resonds, I'll post the answer here.&lt;BR /&gt;
&lt;BR /&gt;
Art</description>
      <pubDate>Sun, 12 Dec 2010 18:05:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/RAND-and-RANNOR-parameters/m-p/48422#M10010</guid>
      <dc:creator>art297</dc:creator>
      <dc:date>2010-12-12T18:05:28Z</dc:date>
    </item>
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