<?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: Efficient work with multiple data files in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/459122#M70405</link>
    <description>&lt;P&gt;Thank you!&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 08 Feb 2022 09:26:26 GMT</pubDate>
    <dc:creator>Rolf_Rank</dc:creator>
    <dc:date>2022-02-08T09:26:26Z</dc:date>
    <item>
      <title>Efficient work with multiple data files</title>
      <link>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/458535#M70353</link>
      <description>&lt;P&gt;Dear Community,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to improve my working style with multipe files of same structure. Example&lt;/P&gt;&lt;P&gt;each file contains x, y data, x is similar y depends from experiment to experiment.&lt;/P&gt;&lt;P&gt;data1.jmp: x, y&lt;/P&gt;&lt;P&gt;data2.jmp: x, y&lt;/P&gt;&lt;P&gt;data3.jmp: x, y&amp;nbsp;&lt;/P&gt;&lt;P&gt;etc.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Goal is a diagram that shows y(data1), y(data2), y(data3) vs. x&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Up to now I added to each file a 3. column "ID", made a recode with "data1", "data2", "data3", concatenated all these files and plotted the y vs. x overlaid by ID.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is it possible to achieve the same result by some sort of linking as shown in the examples for Virtually Join Data tables? I could'nt see how this technique works for my task.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance!&lt;/P&gt;</description>
      <pubDate>Sun, 11 Jun 2023 11:21:30 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/458535#M70353</guid>
      <dc:creator>Rolf_Rank</dc:creator>
      <dc:date>2023-06-11T11:21:30Z</dc:date>
    </item>
    <item>
      <title>Re: Efficient work with multiple data files</title>
      <link>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/458554#M70354</link>
      <description>&lt;P&gt;I'm not sure you can join the files unless the x values are identical.&amp;nbsp; But the method you used can be made more efficient.&amp;nbsp; As long as the columns have the same labels (x,y), just concatenate them and check the box to create the ID column (no need to do it manually).&amp;nbsp; Then graph y vs x using the ID as an overlay.&amp;nbsp; Or if you are doing fit y by x, before fitting anything, group by ID, then fit (line, for example).&lt;/P&gt;</description>
      <pubDate>Fri, 04 Feb 2022 18:41:06 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/458554#M70354</guid>
      <dc:creator>dale_lehman</dc:creator>
      <dc:date>2022-02-04T18:41:06Z</dc:date>
    </item>
    <item>
      <title>Re: Efficient work with multiple data files</title>
      <link>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/459122#M70405</link>
      <description>&lt;P&gt;Thank you!&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 08 Feb 2022 09:26:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Efficient-work-with-multiple-data-files/m-p/459122#M70405</guid>
      <dc:creator>Rolf_Rank</dc:creator>
      <dc:date>2022-02-08T09:26:26Z</dc:date>
    </item>
  </channel>
</rss>

