How to change line style in the "Fit Life by X"?

[#1]

Hi everyone,

This question seems to be easy, but I cannot find the way to do it.

In Analyze toolbar > Reliability and Survival > Fit Life by X, there is a Nonparametric Overlay plot.

My problem is that I cannot find the way to change line style (such as changing from continuous lines to dash lines).

So, my question is "how to change line style in the Fit Life by X?"

Thank you very much in advance for helping me.

Note: I am currently using JMP17.

Please find below the picture that summarize my question.

Please find the code for reproducing the plot above here:

View more...

Fit Life by X(
	Distribution( Weibull ),
	Nested Model Tests( Location and Scale ),
	Y( :ResponseVariable ),
	X( :Category ),
	Censor( :Censor ),
	Censor Code( 1 ),
	<<Fit Weibull,
	Use Transformation Scale( 0 ),
	Show Overlay by Levels( 1 ),
	<<Set Scale( Weibull, Simultaneous, Show Nonparametric CI( 0 ) ),
	<<Set Scriptables(
		{Scatter Plot Show Distribution(
			Weibull( 0 ),
			Lognormal( 0 ),
			Loglogistic( 0 ),
			Frechet( 0 ),
			Exponential( 0 ),
			SEV( 0 ),
			Normal( 0 ),
			Logistic( 0 ),
			LEV( 0 )
		)}
	),
	Confidence Interval Method( Likelihood ),
	SendToEmbeddedScriptable(
		Dispatch( {"Scatterplot"}, {Use Transformation Scale( 0 )} ),
		Dispatch(
			{"Comparisons", "Distribution Profiler"},
			{1, Confidence Intervals( 1 ), Term Value(
				Category( "A", Lock( 0 ), Show( 1 ) ),
				ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Comparisons", "Quantile Profiler"},
			{1, Confidence Intervals( 1 ), Term Value(
				Category( "A", Lock( 0 ), Show( 1 ) ),
				Probability( 0.5, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Comparisons", "Hazard Profiler"},
			{1, Confidence Intervals( 0 ), Term Value(
				Category( "A", Lock( 0 ), Show( 1 ) ),
				ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Comparisons", "Density Profiler"},
			{1, Confidence Intervals( 0 ), Term Value(
				Category( "A", Lock( 0 ), Show( 1 ) ),
				ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Results", "Weibull Results", "Distribution Profiler"},
			{1, Confidence Intervals( 1 ), Term Value(
				Category( "C", Lock( 0 ), Show( 1 ) ),
				ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Results", "Weibull Results", "Quantile Profiler"},
			{1, Confidence Intervals( 1 ), Term Value(
				Category( "C", Lock( 0 ), Show( 1 ) ),
				Probability( 0.5, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Results", "Weibull Results", "Hazard Profiler"},
			{1, Confidence Intervals( 0 ), Term Value(
				Category( "C", Lock( 0 ), Show( 1 ) ),
				ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
			)}
		),
		Dispatch(
			{"Results", "Weibull Results", "Density Profiler"},
			{1, Confidence Intervals( 0 ), Term Value(
				Category( "C", Lock( 0 ), Show( 1 ) ),
				ResponseVariable( 560, Lock( 0 ), Show( 1 ) )
			)}
		)
	)
);

[#2 · Accepted solution]

Unfortunately, it is not doable in the current release. Please contact Tech Support support@jmp.com to file a report.

Thank you for detailed steps to reproduce the issue. I appreciate it!

[#3]

Hi Peng Liu,

Thank you very much for the reply.

I will contact tech support as you suggested.