List Boxes; customizing # of plots per row

[#1]

Hello,

When using the following script, the window will produce a single column of plots.

pltx=dtnm<<(Bivariate(

Y( :Name( "|id|" ),:Name( "|ib|" ), :Name( "|ig|" )),

X( :vg ),

By( :device, :tdegc, :wid, :len, :str, :vd, :vb )));

I am interested in knowing of methods to produce a window that has the three dependent variables in side by side fashion for the given 'By' variables, and with the next row in the window will be same three graphs for the next combination of the 'By' variables.

I can envision using a loop to do this, but I am wondering if there is or are other options.

Thanks,

John

[#2]

Wrap it in a Line Up Box( N Col( n ), Bivariate( ... ) );

[#3]

For example, would this work?

dtnm=datatable("trans.nm.25");

dtnm<<Line Up Box(N Col (3), (Bivariate(

Y( :Name( "|id|" ),:Name( "|ib|" ), :Name( "|ig|" )),

X( :vg ),

By( :device, :tdegc, :wid, :len, :str, :vd, :vb ))));

[#4]

Sorry I was not clear about the details. You create a new window that includes the report of interest, Bivariate in this case. You enclose the Bivariate report in a Line Up Box that will organize the separate reports for each level of the By variable.

This example should clarify this approach:

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );

New Window( "Bivariate",
	Line Up Box( N Col( 2 ),
		dt << Bivariate(
			Y( :weight ),
			X( :height ),
			Fit Line,
			By( :age )
		)	)
);

[#5]

Hi Mark,

Very helpful. Thanks. I can now more easily view the three plots and navigate in just one window.

But I would like to have the three dependent variables in a single row rather than in a single column of three graphs. In other words the three plots cirlced in blue in the first row, the three plots circled in red in the second row, and so on. So each 'By' condition has a row with the three plots.

John