Automation Reference - JMP

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Application Object Reference for Automating JMP Platform Methods Fit Object Methods The Fit object allows further manipulation of a fit display. This object is returned from several Bivariate object methods. ConfidenceFit(Flag As Boolean) Turns on (1 or True) or off (0 or False) the options for confidence curves. ConfidenceIndividual(Flag As Boolean) Turns on (1 or True) or off (0 or False) the options for 95% confidence limits. LineOfFit(Flag As Boolean) Turns on (1 or True) or off (0 or False) the options for the line of fit. PlotResiduals(Flag As Boolean) Creates a plot of residual values if the parameter is True. RemoveFit() Removes the fit from the Bivariate display output. SavePredicteds() Creates a new column in the data table with predicted values of Y. SaveResiduals() Creates a new column in the data table with residual values of Y. SetAlpha(Alpha As Double) Sets the alpha value for the Fit. SplineSaveCoeffs() Saves the spline coefficients in the original data table. If you have a Fit object obtained from a Spline fit, you can use this method. It will return a data table object that can be manipulated further. See also SplineSavePredFormula() As DataTable. SplineSavePredFormula() As DataTable Saves the spline prediction formula in a new data table. If you have a Fit object obtained from a Spline fit, you can use this method. See also SplineSaveCoeffs(). FitDensity Object Methods The FitDensity object allows further manipulation of the Nonparametric Density output. (See NonParDensity() As FitDensity.) Page 90
Application Object Reference for Automating JMP Platform Methods FivePercentContours(Flag As Boolean) An On(True)/Off(False) option that mirrors its non-automation counterpart. KernelControl(Flag As Boolean) An On(True)/Off(False) option that mirrors its non-automation counterpart. MeshPlot(Flag As Boolean) An On(True)/Off(False) option that mirrors its non-automation counterpart. ModalClustering(Flag As Boolean) An On(True)/Off(False) option that mirrors its non-automation counterpart. SaveDensityGrid() As DataTable Saves the density estimates and quantiles associated with them in a new data table. A dispatch pointer to this new data table is returned, so it can be automated as well. FitLeastSquares Object Methods These methods are returned from the call to launch when the fitting personality prior to the launch is Standard Least Squares. The FitLeastSquares object allows the profilers to be invoked on the Response output. It also allows a particular Response to be manipulated, by facilitating retrieval of a Response object. ContourProfiler(Flag As Boolean) As Boolean Turns the Contour Profiler on (True) or off (False). Returns True for success, False for failure. CubePlot(Flag As Boolean) As Boolean Turns the Cube Plot on (True) or off (False). Returns True for success, False for failure. GetResponse(Name As String) As FitResponse Returns a particular Response object associated with the Model output. There is a Response object for every Y value entered prior to Model launch. Profiler(Flag As Boolean) As FitProfiler Turns the Profiler on (True) or off (False). A FitProfiler object is returned that allows for further manipulation of the Profiler settings. FitLogvariance Object Methods The LogVariance Fit output has a few options that can be specified after launch. ConfidenceInterval(Alpha As Double) As Boolean Specifies the confidence interval. Page 91
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Automation Reference - JMP

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