Automation Reference - JMP

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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. Page 68
Application Object Reference for Automating JMP Platform Methods FitTransformed(Xtransform As Integer, Ytransform as Integer, PolynomialDegree as Integer) Perform a fit with X and Y transformation. • The Xtransform and Ytransform values come from the bivarFitTransformConstants, and the polynomial degree (e.g. 3) is similar to FitPolynomial(Degree As Double) As Fit. FitTransformedWithOptions(Xtransform As Integer, Ytransform as Integer, PolynomialDegree as Integer, CenteredPolynomial as Boolean, ConstrainIntercept as Boolean, InterceptValue as Double, ConstrainSlope As Boolean, SlopeValue as Double) As Fit Perform a fit with X and Y transformation and/or constraints. • The Xtransform and Ytransform values come from the bivarFitTransformConstants, and the polynomial degree (e.g. 3) is similar to FitPolynomial(Degree As Double) As Fit. • CenteredPolynomial is either True or False, and must be specified. The default for normal JMP operation is True. • ConstrainIntercept is a Boolean value that indicates if there will be a constraint on the intercept. This must be set to True if you wish to specify an intercept value for the next parameter. If ConstrainIntercept is False, InterceptValue is ignored. • ConstrainSlope is a Boolean that must be True if you wish to specify a value for the slope constraint. If it is False, SlopeValue is ignored. GroupBy(ColumnName As String) As Boolean Group the analysis output by values from a specific column, whose name is provided. Returns True for success, False for failure. HistogramBorders(flag as Boolean) Matches the UI option to turn Histogram borders on (True) or off (False). NonParDensity() As FitDensity Performs a nonparametric density estimation, returning a FitDensity object pointer that allows for further manipulation of the output. (See “FitDensity Object Methods”.) ShowPoints(Flag as Boolean) Shows plot points if set True (1), or hides them if False (0). Bubble Plot Object Methods The Bubble Plot object provides a way to launch and manipulate bubble plots. AggregateSizeAsSum(Flag As Boolean) Turn this option on (True) or off (False). AggregateXAsSum(Flag As Boolean) Turn this option on (True) or off (False). Page 69
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Version 10 Automation Reference JMP
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Application Object Reference for Au
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Contents Application Object Referen
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Index Application Object Reference
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