<?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: Control Chart builder, Non Normal data, Control Limits in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/231121#M45835</link>
    <description>&lt;P&gt;I scripted my way around this problem and have submitted this to Laura Lancaster at the last discovery summit in Copenhagen. My approach is what Hadley mentioned: figure out which quantiles are analagous to the classical control limits, find out where those quantiles are for a given type of curve (gamma, log normal etc) and then draw all of that in the run chart platform. Manually I calculate alarms for test 1,2&amp;amp;5 + OOS rate and PPM values. It stores the control chart script as a script in your Data Table so that you can re-run with the hard coded control limits when there are new data points. Make sure you have figured out which fit you want to use before launching the script.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Paul&lt;/P&gt;</description>
    <pubDate>Mon, 28 Oct 2019 18:36:47 GMT</pubDate>
    <dc:creator>pauldeen</dc:creator>
    <dc:date>2019-10-28T18:36:47Z</dc:date>
    <item>
      <title>Control Chart builder, Non Normal data, Control Limits</title>
      <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/227165#M45073</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have bounded data to Zero. Sure not normal distributed. How can I get the Control Limits? Most appreciated is a visualiation directly in the Control Chart Builder and an interactive solution. Any Help out there?&lt;/P&gt;&lt;P&gt;Thanks Peter&lt;/P&gt;</description>
      <pubDate>Wed, 25 Sep 2019 15:00:23 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/227165#M45073</guid>
      <dc:creator>peter_michel</dc:creator>
      <dc:date>2019-09-25T15:00:23Z</dc:date>
    </item>
    <item>
      <title>Re: Control Chart builder, Non Normal data, Control Limits</title>
      <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/231075#M45830</link>
      <description>&lt;P&gt;Hi Peter,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;One possibility is to consider the quantiles as analogous to standard deviations.&amp;nbsp; In non-normally distributed data, the 84.1% quantile minus the 15.9% quantile encompasses 68.2% of the data, and therefor can perhaps be thought of as 1 std on either side of the median.&amp;nbsp; The +/-3s control limits could therefore be determined using the 99.9% and 0.1% quantiles, approximately.&amp;nbsp; Custom quantiles can be set using the redhotspot in the Distribution report window.&lt;/P&gt;</description>
      <pubDate>Mon, 28 Oct 2019 16:08:54 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/231075#M45830</guid>
      <dc:creator>HadleyMyers</dc:creator>
      <dc:date>2019-10-28T16:08:54Z</dc:date>
    </item>
    <item>
      <title>Re: Control Chart builder, Non Normal data, Control Limits</title>
      <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/231121#M45835</link>
      <description>&lt;P&gt;I scripted my way around this problem and have submitted this to Laura Lancaster at the last discovery summit in Copenhagen. My approach is what Hadley mentioned: figure out which quantiles are analagous to the classical control limits, find out where those quantiles are for a given type of curve (gamma, log normal etc) and then draw all of that in the run chart platform. Manually I calculate alarms for test 1,2&amp;amp;5 + OOS rate and PPM values. It stores the control chart script as a script in your Data Table so that you can re-run with the hard coded control limits when there are new data points. Make sure you have figured out which fit you want to use before launching the script.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;Paul&lt;/P&gt;</description>
      <pubDate>Mon, 28 Oct 2019 18:36:47 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/231121#M45835</guid>
      <dc:creator>pauldeen</dc:creator>
      <dc:date>2019-10-28T18:36:47Z</dc:date>
    </item>
    <item>
      <title>Re: Control Chart builder, Non Normal data, Control Limits</title>
      <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/234146#M46433</link>
      <description>good approach, thanks&lt;BR /&gt;Peter</description>
      <pubDate>Mon, 18 Nov 2019 14:36:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/234146#M46433</guid>
      <dc:creator>peter_michel</dc:creator>
      <dc:date>2019-11-18T14:36:28Z</dc:date>
    </item>
    <item>
      <title>Re: Control Chart builder, Non Normal data, Control Limits</title>
      <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/234147#M46434</link>
      <description>That pushes me forward. Many thanks for doing all that effort and share it with us.&lt;BR /&gt;Peter</description>
      <pubDate>Mon, 18 Nov 2019 14:38:02 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/234147#M46434</guid>
      <dc:creator>peter_michel</dc:creator>
      <dc:date>2019-11-18T14:38:02Z</dc:date>
    </item>
    <item>
      <title>Re: Control Chart builder, Non Normal data, Control Limits</title>
      <link>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/404125#M65452</link>
      <description>&lt;P&gt;Here is an updated version that works in JMP 16.&lt;/P&gt;</description>
      <pubDate>Mon, 26 Jul 2021 20:49:37 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Control-Chart-builder-Non-Normal-data-Control-Limits/m-p/404125#M65452</guid>
      <dc:creator>HydeMiller</dc:creator>
      <dc:date>2021-07-26T20:49:37Z</dc:date>
    </item>
  </channel>
</rss>

