Automation Reference - JMP

Application Object Reference for Automating JMP
Automating JMP through Visual C++
8. The IJMPDoc object provides the methods to launch the analysis and graphing platforms. Once you create an
analysis and attach the dispatch pointer, you can specify the data table columns to use in the analysis and then
you can launch it. Once the analysis is launched, you can manipulate it using the properties and methods specific
to that particular type of analysis. Code that is taken from the sample application that describes steps 5–8 is
shown below:
Example Program
//Note, no error handling is done in this example
IJMPAutoApp m_DispDriver;
IJMPDoc m_Doc;
IAutoBivar m_Bivar;
IAutoFit m_FitLine;
//Create the initial dispatch driver that uses the IJMPAutoApp
//interface specification (taken from jmpauto.h)
m_DispDriver.CreateDispatch("JMP.Application");
if (m_DispDriver)
{
//If JMP successfully started, make it visible
m_DispDriver.SetVisible(TRUE);
}
//Now open a data table as a document. The document interface
//pointer that is returned is then attached to our Doc dispatch
//driver class that uses the IJMPDoc interface specification.
m_Doc.AttachDispatch(m_DispDriver.OpenDocument(
"C:\\JMPDATA\\BIGCLASS.JMP"));
//First, call CreateBivariate on the Doc interface to create
//a dispatch object to a Bivariate analysis. If there is already
//a previous dispatch interface in m_Bivar, MFC releases it
//in AttachDispatch.
m_Bivar.AttachDispatch(m_Doc.CreateBivariate());
//Now add Height and Weight as the columns to analyze
m_Bivar.LaunchAddX("Height");
m_Bivar.LaunchAddY("Weight");
//Launch the analysis
m_Bivar.Launch();
//Create a FitLine. Since the Fit can be automated, attach the dispatch
//pointer that is returned from FitLine() to a DispatchDriver object
m_FitLine.AttachDispatch(m_Bivar.FitLine());
//Now do a few more fits. This example does not automate these fit
//objects, although they do support automation.
m_Bivar.FitPolynomial(3.0);
m_Bivar.FitSpline(1000.0);
//Now manipulate the first FitLine object
m_FitLine.ConfidenceFit(TRUE);
m_FitLine.ConfidenceIndividual(TRUE);
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