Saving Limits for P Chart

[#1]

I am working in JMP 15. And I cannot save the control limits for a P Chart that I generated, because the UCL is different for each "Y."

I need to be able to save the limits for each Y attribute. Is this only possible for I Charts when the UCL is constant? 

[#2]

I'm not exactly sure what you mean by "for each Y"? Do you mean for each sample or are you asking about different reasons for failure? I think you understand the issue, p-charts will have varying control limits because the size of the sample is changing.  If you can keep the sample size constant (np charts) then you could get a constant control limit.  I MR charts may be useful depending on the proportion of defectives (large proportions).

[#3]

If you use the Save Summaries option in the red triangle menu, you can see the varying control limits for each point plotted.

[#4]

Thank you Tonya, this worked. Now my question problem is - how do I apply those limits to a different chart.  I used the "Get Limits" function.  But I got this error: 

This was when I tried to use the data table directly in the format that was put out by "Save Summaries"

[#5]

The summary data table does not have the proper format for a limits data table.  Furthermore, a limits data table only works if the limits are constant.  It does not work with non-constant limits.  You will need to grab the sigma from the Show Sigma report and then use JSL similar to the following

Control Chart Builder(
	Variables( Y( :NO ), Subgroup( :State ) ),
	Chart(
		Position( 1 ),
		Set Control Limits( {Avg( 0.026 ), Sigma( 0.02 )} ),
	),
	Chart(
		Position( 2 ),
		Set Control Limits( {Avg( 0.02 ), Sigma( 0.0241124109987879 )} )
	)
)

[#6]

Do you have any idea why the Show Sigma Report would be greyed out, not allowing me to click? 

[#7 · Accepted solution]

Sorry.  I forgot that you had an attribute chart.  Show Sigma Report is only available for Variables control charts.  Control chart builder has no method of specifying non-constant limits for attribute charts.  This can be done with variables charts only.