Scripting Guide - SAS

Chapter 14 Extending JMP 495
OLE Automation
JMP comes up invisible by default, as required by automation guidelines. Therefore, one of your first moves
should be to make it visible, as shown in the above code.
Launching an Analysis
Now that you have a data table open, you can launch an analysis and manipulate it. Each analysis must first
be created. Then, the required parameters for the analysis must be specified. Optional settings can also be
specified. Then the analysis is launched. Additional option processing can then be done on the analysis
object after the launch.
Dim Oneway As JMP.Oneway
Set Oneway = JMPDoc.CreateOneway
Oneway.LaunchAddY ("Height")
Oneway.LaunchAddX ("Age")
'Set an option before the launch
Oneway.Quantiles (True)
'Create the initial analysis output
Oneway.Launch
Oneway.MeansAnovaT (True)
Oneway.MeansStdDev (True)
Oneway.UnequalVariances (True)
Oneway.NormalQuantilePlot (True)
Oneway.SetAlpha (0.05)
Oneway.Save(JMP.OnewaySaveConstants.oscCentered)
Oneway.Save(JMP.OnewaySaveConstants.oscStandardized)
Oneway.CompareMeans(JMP.OnewayCompareConstants.occAllPairs, True)
Oneway.CompareMeans(JMP.OnewayCompareConstants.occEachPair, True)
The first step is to create the analysis object, which is done by calling the CreateOneway method of the
document class. Next, X and Y columns are selected, and then Launch is called to create the actual
One-way analysis. Each analysis platform has a distinct creation method, which you can view under the
Document object in the object browser. In many cases, it is possible to specify options before the Launch of
the object, so the analysis output uses the options that are already set. In this example, most option
processing is done after the launch of the analysis, which shows the options popup in the display. As you can
see, most methods are a simple setting of options, like you might do from a menu. SetAlpha takes a
parameter, since you do not want to open a window for interaction during automation. CompareMeans
takes two parameters, one for the type of comparison and one for the toggle to indicate on or off. The Save
method takes a predefined constant (viewable in the object browser) that tells the Oneway analysis what to
save.
Most analysis methods work this way, although some like Bivariate produce additional objects when
methods are called. An example is:
Set Fit = Bivar.FitLine
Fit.ConfidenceFit (True)
Fit.ConfidenceIndividual (True)
Here, the FitLine method produces an object of type Fit. This object has methods and properties of its
own, which can be manipulated. Remember, the new object created by FitLine can be manipulated only
while its variable is in scope.