Issue adding control chart to dashboard

[#1]

Hi all, 

I'm trying to add several control charts to a dashboard and having issues.  Specifically, seeing the attached error when trying to add the charts to a dashboard.  I've tried this using Window < Combine Windows and also by creating a new Dashboard and using the Dashboard builder.  Getting the same error for each.  Control charts created using Control Chart Builder.  Any thoughts?

-Matt

[#2]

Hi @barnabei - I'm unsure from the error whether it is the platform or perhaps the data table that is causing Dashboard Builder to fail to create the object.  It might be helpful to know the JMP version, how the data table was created, and what the script for the Control Chart Builder looks like.

-Dan

[#3]

Hi @danschikore , the JMP version is 17.0.0 (Mac).

See attached for the data table input (data deleted)

Script for creating control charts:

dtSum = Current Data Table();
Summarize( assaylist = by( :Assay x Ctl ) );
NAssays = Length( assaylist );
For( i = 1, i <= NAssays, i++,
	dtSum << Control Chart Builder(
		Variables(
			Subgroup( :batch_id ),
			Y( :"Mean(Inf conc Mean Median)"n ),
			Phase( :Ctl lot x Assay x Ctl )
		),
		Get Limits(
			"/Users/matt.barnabei/Desktop/QC Plotting Data/QC Limit Summary.jmp"
		),
		Show Control Panel( 0 ),
		Where( :Assay x Ctl == assaylist[i] ),
		SendToReport(
			Dispatch(
				{},
				"Control Chart Builder",
				FrameBox,
				{Frame Size( 0, 0 )}
			)
		)
	)
);

[#4 · Accepted solution]

Hi @barnabei - the issue here is the expression passed in the where() clause.  JMP is retaining this expression as written, and when the script for the platform is saved and rerun, the variables no longer exist.  This would also impact other actions that require the ability to rerun a platform from a script, such as publishing to JMP Live, or saving in a JMP Project.  This example shows the same issue:

dt=Open("$SAMPLE_DATA/Big Class.jmp");
level=15;
biv = dt << Bivariate(X(:height),Y(:weight),Where(:age==level));

One way to fix it is to manipulate the expression to put in the actual level:

dt=Open("$SAMPLE_DATA/Big Class.jmp");
level=15;
Eval(EvalExpr(biv = dt << Bivariate(X(:height),Y(:weight),Where(:age==Expr(level)))));

Hope that helps!