472492_en-US

liliconcom

How to remove smoothing spline controls from bivariate fit

How do I delete Smoothing spline controls? I have a report with bunch of splines and this list of controls takes the whole page effectively collapsing the chart. I only need splines for visual guide, I don't care about the numbers. How do I remove it?

Advanced Statistical ModelingRe: How to remove smoothing spline controls from bivariate fit

Use Show Properties to see under which display elements those are, then you can navigate report layer to set visibility to collapse. Here is quick example with XPath

Names Default To Here(1);
dt = Open("$SAMPLE_DATA/Big Class.jmp");
biv = dt <<BIVARIATE></BIVARIATE>

Re: How to remove smoothing spline controls from bivariate fit

Thanks, 

 

I was able to figure out what to do. I guess I just needed a way to get bunch of border boxes at once.

Anyways, couple of questions - For me collapsing IfBoxes collapses pretty much everything - window is empty. This is because I have other IfBoxes on the plot.

If I only use 

XPath("//BorderBox")

it will take care of the boxes in red frame:

Boxes in green frame that are controlling the splines below - those stay.

I can solve it by saying Report View ("Summary") when building the plot, so all in all it works, but I'm still wondering - how would I isolate those IfBoxes - Can I say something like 

Xpath("//OutlineBox/IfBox")

(this one didn't work).

 

Here's full script:

/* Open a sample data table */
dt = Open( "$SAMPLE_DATA\Big Class.jmp" );

Fit Group(
biv = dt << Bivariate(
 Y( {:weight, :weight} ),
 X( :height ),
 /*Report View ("Summary"),*/
 Group By ("sex"),
 Fit Spline( 0.1, Standardized),
 SendToReport(
  Dispatch(
   {},
   "Bivar Plot",
   FrameBox,
   {DispatchSeg( Line Seg( 2 ), {Line Color( {66, 112, 221} )} )}
  )
 )
),
<<{Arrange in Rows( 3 )}
);

For Each({rbiv, index}, biv << Report, 
(
rbiv << XPath("//BorderBox"))[2]<<VISIBILITY></VISIBILITY>

I can make it work by uncommenting "Report View", but I also would like to understand how to do that using XPath (commented line at the end results in empty window).

 

 

Re: How to remove smoothing spline controls from bivariate fit

Use << Get Xml (or you can try with << Show Properties) to see what the report layer looks like. Then based on that you can build more complicated Xpaths.

 

Names Default To Here(1);

/* Open a sample data table */
dt = Open("$SAMPLE_DATA\Big Class.jmp");

g = Fit Group(
 biv = dt << Bivariate(
  Y({:weight, :weight}),
  X(:height),
  Report View("Summary"),
  Group By("sex"),
  Fit Spline(0.1, Standardized),
  SendToReport(Dispatch({}, "Bivar Plot", FrameBox, {DispatchSeg(Line Seg(2), {Line Color({66, 112, 221})})}))
 ), <<{Arrange in Rows(3)}
);

Clear log();
Write(g << get xml);