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Looping Bivariate Model

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 )} ) )
);

 

Re: Looping Bivariate Model

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 )
 )
  
); 

Re: Looping Bivariate ModelHi Jim,
Thanks for the quick reply. Let me try this. I'll get back if I face any issue.Re: Looping Bivariate Model

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 )
);