Scripting Guide - SAS

338 Display Trees Chapter 11
Manipulating Displays
For example, open the Big Class sample data set and run the attached Bivariate script. This generates a
report with a fitted line. Then, open the Lack of Fit outline node, and close the Analysis of Variance outline
node. Finally, select Script > Save Script to Script Window. The following script appears. (spacing and
line breaks are added here for illustration).
Bivariate(
Y( :weight ),
X( :height ),
Fit Line( {Line Color( {213, 72, 87} )} ),
SendToReport(
Dispatch( {"Linear Fit"}, "Lack Of Fit", OutlineBox, {Close( 0 )} ),
Dispatch( {"Linear Fit"}, "Analysis of Variance", OutlineBox, {Close( 1
)} )
)
);
The Send To Report command contains two Dispatch commands. These correspond to your two
customizations to the default report. Examine the first Dispatch command in detail.
The first argument says to find an outline node named “Linear Fit”. The second and third commands say to
further find an Outline Box named “Lack of Fit” underneath the “Linear Fit” outline. The fourth argument
is the command to send to this outline box. In this case, the message is Close(0), in other words, open the
node.
Note: If there are several outline nodes with identical names, subscripts are assigned to them. For example,
if you have a Bivariate analysis with two quadratic fits (resulting in identical titles), when you dispatch a
command to the second fit, the subscript [2] is added to the duplicated title.
The best way to deal with Send to Report and Dispatch commands is to first run a report using the mouse,
creating the customizations interactively. Then, examine the script that JMP generates. Remember: the best
JSL writer is JMP itself.
Using the