Looping Bivariate Model

Question

Hi,

I'm new to jmp script. But I know the gui interface. I would like to create multiple bivariate fits on the same graph using a loop? How will I do this? The "Fit Where" statement inside bivariate model doesn't work inside a loop. I want output like the following. There will be multiple fit spline curves, grouped by a column (:Experiment). I wish something like the commented section in the attached script would work. Any step by step guide will also help. I will figure out details of those steps to apply specifically to my data.

Thanks.

dt = Current Data Table();

// Get the list of unique expts
Summarize( dt, ExptList = by( :Experiment ) );

Bivariate(
	Y( :temp_Y ),
	X( :temp_X ),

/*	
	For( i = 1, i <= N Items( ExptList ), i++,

Fit Where(
			:Experiment == ExptList[i],
			Fit Spline( 1, Standardized, {Line Color( {66, 112, 221} )} )
		)

),	
	*/
	SendToReport( Dispatch( {}, "Bivar Plot", FrameBox, {Marker Size( 1 )} ) )
);

txnelson · Accepted Answer

All you need to do, is to use the GroupBy() setting

Names Default to Here( 1 );
dt = Current Data Table();

Bivariate(
	Y( :temp_Y ),
	X( :temp_X ),
	group by( :Experiment ),
	Fit Spline( 1000000 )
);

txnelson · Accepted Answer

You could also do it this way

dt = Current Data Table();

// Get the list of unique expts
Summarize( dt, ExptList = by( :Experiment ) );

biv = Bivariate(
	Y( :height ),
	X( :weight ),
	SendToReport(
		Dispatch(
			{},
			"Bivar Plot",
			FrameBox,
			{Marker Size( 1 )}
		)
	)
);

For( i = 1, i <= N Items( ExptList ), i++,

biv << Fit Where(
		:Experiment == ExptList[i],
		Fit Spline( 1 )
	)

);