nav[aria-label="Primary Navigation"] { padding: 0; & ul { list-style: none; width: 100%; display: flex; flex-direction: row; justify-content: start; align-items: start; gap: 30px; padding: 0; & li { margin: 0; } & ul li { list-style: none; } } }

Automating Gauge R&R On JMP for Large Number of Variables

RA899

Hello,

I'm currently running Gauge R&R report through JMP, and the steps I do is to use Variability/Attribute Gauge to generate the Gauge R&R table with measurement sources and variation. I'm using the steps below:

The issue is that after I run the variability chart, I need to manually generate the gauge RR table below:

After that, I use combined data table feature on the measurement source table to export the gauge RR tables for the selected variables.

The issue is that I have hundreds of variables and for each variable it takes up to maybe three minutes to generate the gauge RR table.
This is really time inefficient and I would like to ask if there is a JSL code or other way to generate the gauge R&R table for given tests and export it to excel in more efficient way.

Your help is very much appreciated.

Accepted answers

jthi

Build the variability chart manually once and modify the script as needed. If I remember correctly all of them will go to same X

X(:Dib_id, :Site, :Part_id)

Make sure they are in correct order to get the correct model (also make the required changes to the Model).

All comments

jthi

If I remember correctly these assume you have set your limits to column properties How to Generate Structured Gauge R&R Reports Across Multiple Tests (with Summary Tables) has also link to some other methods.

RA899

Thanks @jthi This is very helpful. I see in the example it has Site as the X variable, in my case I have in that sequnce, DIB_id, Site, and then Part_id. I assume that code should be like this in my case:

Names Default To Here(1);

dt = Open("$SAMPLE_DATA/Semiconductor Capability.jmp");

var = dt << Variability Chart(
	Y(:NPN1, :PNP1),
	Model("Main Effect"),
	X(:Dib_id),
	X(:SITE),
	X(:Part_id),
	Historical Sigma(0),
	Invisible
);
var << "Gauge R&R"n();
wait(0);

result_ref = Report(var)[OutlineBox("Gauge R&R")];
wait(0);

dt_result = result_ref[TableBox(1)] << Make Combined Data Table;

var << close window;

Does that sound right? Thanks a lot!

jthi

Build the variability chart manually once and modify the script as needed. If I remember correctly all of them will go to same X

X(:Dib_id, :Site, :Part_id)

Make sure they are in correct order to get the correct model (also make the required changes to the Model).