Automation Reference - JMP

Application Object Reference for Automating JMP
Platform Methods
Platform Methods
Each platform has methods that enable you to launch and manipulate that platform.
Bivariate Object Methods
The Bivariate object provides a way to launch and manipulate a Bivariate analysis.
DensityEllipses(Degree As Double)
Draws a density ellipse with the given degree of probability.
FitEachValue As Fit
Fits each value on the analysis. Returns a dispatch pointer to the Fit object, which allows further manipulation
through automation.
FitLine As Fit
Performs a linear fit on the analysis. Returns a dispatch pointer to the Fit object, which allows further
manipulation through automation.
FitLoess() As Fit
Performs a Fit Loess using default parameters, and returns a Fit object for further customization.
FitLoessWithParms(fitLoessLambdaConstants Lambda, Alpha as Double, Robustness as Short)
Performs a Fit Loess using the specified parameters. Lambda is a constant, typically either Linear or Quadratic.
Alpha is a value between 0 and 1 inclusive. Robustness is a value between 0 and 4 inclusive.
Returns a Fit object for further customization.
FitMean As Fit
Fits a mean on the analysis. Returns a dispatch pointer to the Fit object, which allows further manipulation
through automation.
FitOrthogonal(OrthogonalFitConstant as Integer, VarianceRatio As Double) As Fit
Performs an orthogonal regression with the specified variance ratio. The first parameter should be one of the
values from the bivarFitTransformConstants. Returns a Fit object pointer.
FitPolynomial(Degree As Double) As Fit
Performs a polynomial fit with the specified degree (e.g. 3.0). Returns a pointer to a Fit object.
FitSpline(Degree As Double) As Fit
Performs a spline fit with the specified degree of stiffness (e.g. 100). Returns a Fit object pointer.
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