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    <title>topic Re: Variable Transformation in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835700#M4518</link>
    <description>&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;I want to continue with this question.&lt;/P&gt;
&lt;P&gt;In STATA we have qladder to check that, I hope SAS has something similar by now too.&lt;/P&gt;
&lt;P&gt;Hao&lt;/P&gt;</description>
    <pubDate>Wed, 28 Sep 2022 19:41:08 GMT</pubDate>
    <dc:creator>haoduonge</dc:creator>
    <dc:date>2022-09-28T19:41:08Z</dc:date>
    <item>
      <title>Variable Transformation</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/470573#M3185</link>
      <description>&lt;P&gt;I have 50 continuous variables and I want to check normality condition of each variable. Is there any syntax available&amp;nbsp; which suggest me automatically best transformation (whether it is&amp;nbsp; log, exp or sqrt)&amp;nbsp; of each variable in one go.&lt;/P&gt;</description>
      <pubDate>Fri, 15 Jun 2018 12:29:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/470573#M3185</guid>
      <dc:creator>ash3</dc:creator>
      <dc:date>2018-06-15T12:29:52Z</dc:date>
    </item>
    <item>
      <title>Re: Variable Transformation</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/470617#M3186</link>
      <description>&lt;P&gt;I would start with Proc univariate as you can request a test for normality as well as get some descriptive statistics and/or plots of distributions that would give a hint which transform might be useful for those that aren't normal, or close enough for your purpose.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Proc univariate data=have normal;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&amp;nbsp; var &amp;lt;list your variable here or use on of the SAS variable list forms&amp;gt;;&lt;/P&gt;
&lt;P&gt;run;&lt;/P&gt;
&lt;P&gt;would get you started. Histogram or CDFPLOT or other of the plot statements&amp;nbsp;might be helpful.&lt;/P&gt;</description>
      <pubDate>Fri, 15 Jun 2018 14:58:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/470617#M3186</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2018-06-15T14:58:59Z</dc:date>
    </item>
    <item>
      <title>Re: Variable Transformation</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835700#M4518</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;I want to continue with this question.&lt;/P&gt;
&lt;P&gt;In STATA we have qladder to check that, I hope SAS has something similar by now too.&lt;/P&gt;
&lt;P&gt;Hao&lt;/P&gt;</description>
      <pubDate>Wed, 28 Sep 2022 19:41:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835700#M4518</guid>
      <dc:creator>haoduonge</dc:creator>
      <dc:date>2022-09-28T19:41:08Z</dc:date>
    </item>
    <item>
      <title>Re: Variable Transformation</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835814#M4519</link>
      <description>1) Try Box-Cox transformation, &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt; wrote a blog about this:&lt;BR /&gt;&lt;A href="https://blogs.sas.com/content/iml/2022/08/22/box-cox-transform.html" target="_blank"&gt;https://blogs.sas.com/content/iml/2022/08/22/box-cox-transform.html&lt;/A&gt;&lt;BR /&gt;&lt;A href="https://blogs.sas.com/content/iml/2022/08/17/box-cox-regression.html" target="_blank"&gt;https://blogs.sas.com/content/iml/2022/08/17/box-cox-regression.html&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;2) Check PROC GENMOD 's ASSESS Statement</description>
      <pubDate>Thu, 29 Sep 2022 11:54:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835814#M4519</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2022-09-29T11:54:29Z</dc:date>
    </item>
    <item>
      <title>Re: Variable Transformation</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835818#M4520</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/138243"&gt;@haoduonge&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;I want to continue with this question.&lt;/P&gt;
&lt;P&gt;In STATA we have qladder to check that, I hope SAS has something similar by now too.&lt;/P&gt;
&lt;P&gt;Hao&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;we don't know what qladder does, please explain&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Also, what is wrong with doing what&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13884"&gt;@ballardw&lt;/a&gt;&amp;nbsp;said above? Seems to be a rather complete answer to the original question.&lt;/P&gt;</description>
      <pubDate>Thu, 29 Sep 2022 12:01:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/835818#M4520</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2022-09-29T12:01:59Z</dc:date>
    </item>
    <item>
      <title>Re: Variable Transformation</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/836436#M4526</link>
      <description>&lt;P&gt;I meant the code that can be used to exam multiple variables silmultaneously (avoid to run over and over again).&lt;/P&gt;
&lt;P&gt;Thanks!&lt;/P&gt;
&lt;P&gt;Hao&lt;/P&gt;</description>
      <pubDate>Sun, 02 Oct 2022 21:06:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Variable-Transformation/m-p/836436#M4526</guid>
      <dc:creator>haoduonge</dc:creator>
      <dc:date>2022-10-02T21:06:00Z</dc:date>
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