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    <title>topic Re: R code for Enterprise mIner in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466854#M7085</link>
    <description>Keep in mind the recommended version of R. &lt;BR /&gt;(taken from EM help)&lt;BR /&gt;&lt;BR /&gt;R Configuration&lt;BR /&gt;&lt;BR /&gt;Typically, R is installed on the same machine as the SAS Enterprise Miner Server. The Open Source Integration node is verified to work with 64-bit R 3.12, the pmml 1.4.2 package, and the XML 3.98-1.1 package. It is not recommended that you use 32-Bit R because SAS Enterprise Miner data sources often require large allocations of memory.</description>
    <pubDate>Fri, 01 Jun 2018 14:39:04 GMT</pubDate>
    <dc:creator>MelodieRush</dc:creator>
    <dc:date>2018-06-01T14:39:04Z</dc:date>
    <item>
      <title>R code for Enterprise mIner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/465148#M7066</link>
      <description>&lt;P&gt;Hi&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would like to get R syntax to put in the open source code in EM for the following models to compare&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Decision Tree&lt;/P&gt;&lt;P&gt;Reg&lt;/P&gt;&lt;P&gt;Neural Net&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also the packages and libraries needed&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 25 May 2018 16:59:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/465148#M7066</guid>
      <dc:creator>statman123</dc:creator>
      <dc:date>2018-05-25T16:59:29Z</dc:date>
    </item>
    <item>
      <title>Re: R code for Enterprise mIner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466844#M7081</link>
      <description>&lt;P&gt;Here is basic code for using the open source integration node for a decision tree in R. I use this code all the time &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;library(rpart)&lt;BR /&gt;&amp;amp;EMR_MODEL &amp;lt;- rpart(&lt;BR /&gt;&amp;amp;EMR_CLASS_TARGET ~ &amp;amp;EMR_CLASS_INPUT + &amp;amp;EMR_NUM_INPUT, data=&amp;amp;EMR_IMPORT_DATA,method ="class")&lt;/P&gt;</description>
      <pubDate>Fri, 01 Jun 2018 14:29:20 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466844#M7081</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2018-06-01T14:29:20Z</dc:date>
    </item>
    <item>
      <title>Re: R code for Enterprise mIner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466846#M7082</link>
      <description>&lt;P&gt;Here is basic code for doing a logistic regression in R using the open source node in EM.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;amp;EMR_MODEL &amp;lt;- glm(&amp;amp;EMR_CLASS_TARGET ~ &amp;amp;EMR_CLASS_INPUT + &amp;amp;EMR_NUM_INPUT,&lt;BR /&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;family=binomial(), data=&amp;amp;EMR_IMPORT_DATA)&lt;/P&gt;</description>
      <pubDate>Fri, 01 Jun 2018 14:31:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466846#M7082</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2018-06-01T14:31:32Z</dc:date>
    </item>
    <item>
      <title>Re: R code for Enterprise mIner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466847#M7083</link>
      <description>&lt;P&gt;Basic code for Random Forest in R using the Open Source Node in EM.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;#load library&lt;BR /&gt;library(randomForest)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;#train model&lt;BR /&gt;&amp;amp;EMR_MODEL &amp;lt;- randomForest(&amp;amp;EMR_CLASS_TARGET ~ &amp;amp;EMR_CLASS_INPUT + &amp;amp;EMR_NUM_INPUT, ntree=100, mtry=5, data=&amp;amp;EMR_IMPORT_DATA, importance=TRUE)&lt;/P&gt;</description>
      <pubDate>Fri, 01 Jun 2018 14:32:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466847#M7083</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2018-06-01T14:32:58Z</dc:date>
    </item>
    <item>
      <title>Re: R code for Enterprise mIner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466851#M7084</link>
      <description>&lt;P&gt;Basic code for neural networks in R using the Open Source node in EM.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;library(nnet) &lt;BR /&gt;&amp;amp;EMR_MODEL &amp;lt;- nnet(&amp;amp;EMR_CLASS_TARGET ~ &amp;amp;EMR_CLASS_INPUT + &amp;amp;EMR_NUM_INPUT, size=2, rang=0.1, data=&amp;amp;EMR_IMPORT_DATA)&lt;/P&gt;</description>
      <pubDate>Fri, 01 Jun 2018 14:37:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466851#M7084</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2018-06-01T14:37:10Z</dc:date>
    </item>
    <item>
      <title>Re: R code for Enterprise mIner</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466854#M7085</link>
      <description>Keep in mind the recommended version of R. &lt;BR /&gt;(taken from EM help)&lt;BR /&gt;&lt;BR /&gt;R Configuration&lt;BR /&gt;&lt;BR /&gt;Typically, R is installed on the same machine as the SAS Enterprise Miner Server. The Open Source Integration node is verified to work with 64-bit R 3.12, the pmml 1.4.2 package, and the XML 3.98-1.1 package. It is not recommended that you use 32-Bit R because SAS Enterprise Miner data sources often require large allocations of memory.</description>
      <pubDate>Fri, 01 Jun 2018 14:39:04 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/R-code-for-Enterprise-mIner/m-p/466854#M7085</guid>
      <dc:creator>MelodieRush</dc:creator>
      <dc:date>2018-06-01T14:39:04Z</dc:date>
    </item>
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