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    <title>topic Re: Analyzing by categoric nature of the data, even though it varies slightly -- ANOVA in SAS Enterprise Guide</title>
    <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389610#M25148</link>
    <description>&lt;P&gt;Thank you for the help.&amp;nbsp; I found the round function useful, even in EG.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 21 Aug 2017 18:50:46 GMT</pubDate>
    <dc:creator>4MUL8R</dc:creator>
    <dc:date>2017-08-21T18:50:46Z</dc:date>
    <item>
      <title>Analyzing by categoric nature of the data, even though it varies slightly -- ANOVA</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389551#M25136</link>
      <description>&lt;P&gt;I have 15,000 rows of data on a test vehicle.&amp;nbsp; The vehicle was driven by a robot on a test dynamometer at seven test speed setpoints.&amp;nbsp; However, the actual speed was recorded in the data, as opposed to the setpoints.&amp;nbsp; So, the data does not uniformly state 0, 15, 20, ... , 75 mph.&amp;nbsp; Instead, the data column reads 14.8, 14.9, 15,0, 15.1, 15.0, ... , 14.8 as the vehicle control system keeps the speed near each of the setpoints.&amp;nbsp; Small variability here is not important to the physical test of the vehicle.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I can filter the data to include only rows where speed lies between a series of speed ranges.&amp;nbsp; However, for each speed range, I'd like to assign or create a variable that reports the setpoint for that range.&amp;nbsp; From that setpoint, being categoric, I could perform ANOVA and obtain the desired measurements from the vehicle for each speed setpoint.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;In Enterprise Guide 7.13, is there a way to create a new column having inferred or deduced from the recorded speed what the setpoint was?&lt;/P&gt;</description>
      <pubDate>Mon, 21 Aug 2017 15:11:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389551#M25136</guid>
      <dc:creator>4MUL8R</dc:creator>
      <dc:date>2017-08-21T15:11:03Z</dc:date>
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    <item>
      <title>Re: Analyzing by categoric nature of the data, even though it varies slightly -- ANOVA</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389553#M25137</link>
      <description>&lt;P&gt;It looks like you could do one of two things.&lt;/P&gt;
&lt;P&gt;1) Add a variable that is&amp;nbsp;the result of this calculation:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&amp;nbsp; newspeed = round(speed, 5);&lt;/P&gt;
&lt;P&gt;which would round to the nearest multiple of 5&lt;/P&gt;
&lt;P&gt;2) create a custom format and assign the format in the procedure and not add a new variable.&lt;/P&gt;</description>
      <pubDate>Mon, 21 Aug 2017 15:19:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389553#M25137</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2017-08-21T15:19:46Z</dc:date>
    </item>
    <item>
      <title>Re: Analyzing by categoric nature of the data, even though it varies slightly -- ANOVA</title>
      <link>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389610#M25148</link>
      <description>&lt;P&gt;Thank you for the help.&amp;nbsp; I found the round function useful, even in EG.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 21 Aug 2017 18:50:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Enterprise-Guide/Analyzing-by-categoric-nature-of-the-data-even-though-it-varies/m-p/389610#M25148</guid>
      <dc:creator>4MUL8R</dc:creator>
      <dc:date>2017-08-21T18:50:46Z</dc:date>
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