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Teena
Level II

How do I apply different tests to a g-chart (rare event attribute) control chart

Hello

Does anyone know how to rules other than outside limits in a g-chart (i.e a test for six (or more) points in a row continually increasing (or decreasing)). 

 

I've tried using the preferences/platform/control charts options but not sure why it's not applying.   

 

Any suggestions much appreciated.

(I'm using #JMPpro16 and very new to scripting so if the only way is to script I might need some really basic hints!) 

1 ACCEPTED SOLUTION

Accepted Solutions

Re: How do I apply different tests to a g-chart (rare event attribute) control chart

As you have discovered, the only test JMP allows for rare event charts is test beyond limits.  You would need to write a script for any additional tests.  Unfortunately, I do not have any sample code to share for doing this.

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4 REPLIES 4

Re: How do I apply different tests to a g-chart (rare event attribute) control chart

As you have discovered, the only test JMP allows for rare event charts is test beyond limits.  You would need to write a script for any additional tests.  Unfortunately, I do not have any sample code to share for doing this.

Teena
Level II

Re: How do I apply different tests to a g-chart (rare event attribute) control chart

Thank you for confirming that I hadn't missed something obvious and indeed will work towards writing some script. 

Re: How do I apply different tests to a g-chart (rare event attribute) control chart

Any additional tests depend on the nature of the response (continuous or categorical) and the distribution of the response. For example. Nelson developed a set of 8 tests for common (but not exhaustive) special causes when using the Individuals Chart (X-chart) for continuous and normally distributed data.

 

You might be able to use this description (see page 1192)  from SAS documentation to implement appropriate tests for the G-chart in JMP.

Teena
Level II

Re: How do I apply different tests to a g-chart (rare event attribute) control chart

Thank you for the link - very useful! 

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