Automation Reference - JMP

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Application Object Reference for Automating JMP Platform Methods LikelihoodRatio(Flag As Boolean) As Boolean Turn the option on (True) or off (False). MarginalVariances (Flag As Boolean) As Boolean Turn the option on (True) or off (False). FitManova Object Methods The Manova fitting personality has very limited support, due to the highly interactive nature of the Response specification dialogs. However, there is support for saving values to the active data table. SaveDiscrim() As Boolean Saves the specified value to columns in the active data table. SavePredicted() As Boolean Saves the specified value to columns in the active data table. SaveResiduals() As Boolean Saves the specified value to columns in the active data table. Fit Model Methods The Fit Model methods are used to launch a Fit Model analysis, and then to manipulate the subsequent output. Because the post-launch manipulation is so interactive and specific to the data, the Manova fitting personality only has limited support in the post-launch phase. Notes: FitModel produces a variety of output objects, such as FitLeastSquares, FitManova, and so forth. Because of the complexity of the output, the common analysis routine UseByOutput(ByTitle As String) As Boolean cannot be used for FitModel when By Group manipulation must be performed. The Launch methods are specific to the launch setup for a Fit Model analysis. In addition to these methods, certain standard launch functions serve a dual purpose with Fit Model. For the Proportional Hazards and Parametric Survival fitting platforms, the launch buttons Time To Event and Censor equate to the LaunchAddY and LaunchAddWeight automation routines, respectively. These four methods are used to retrieve the names of effects created using the AddxxxEffect methods, remove selected effects, and Nest effects: • LaunchGetNumberOfEffects() As Integer • LaunchGetEffectName(EffectNumber As Integer) As String • LaunchSelectEffect(EffectNumber As Integer, OnOffFlag As Boolean) As Boolean • LaunchRemoveSelectedEffects() As Boolean Page 92
Application Object Reference for Automating JMP Platform Methods Launch() As Object Launches the fit using all of the previously supplied information. Depending on the type of personality that was selected, another Fit object will be returned that allows for further manipulation of the post-launch output. The objects that can be returned are FitLeastSquares, FitStepwise, FitNominal, FitOrdinal, FitLogVariance, FitProportional, and FitParametricSurvival. There is no object for the Manova fitting personality, due to the highly interactive nature of its output. LaunchAddCrossEffect() As Boolean Creates a crossed model effect, using the columns specified in calls to LaunchAddToEffectList(Name As String) As Boolean. LaunchAddMacroEffect(fitModelMacroEffectConstants macroType) As Boolean Adds a macro effect type, using the columns previously specified through LaunchAddToEffectList(Name As String) As Boolean, the macro degree specified using LaunchSpecifyMacroDegree, and the type of macro effect passed in as the macroType parameter. The macro type is one of the fitModelMacroEffectConstants. If a macro degree has not been previously specified, degree 2 is used. LaunchAddNestEffect() As Boolean Enables the column that has been added using LaunchAddToEffectList(Name As String) As Boolean to be used as a nesting effect within the effect that has been selected using LaunchSelectEffect(EffectNumber As Integer, OnOffFlag As Boolean) As Boolean. For example, suppose the column ID (the subject ID within each treatment) is added as a simple X Effect (LaunchAddToEffectList(Name As String) As Boolean followed by LaunchAddXEffect() As Boolean). Next, the column Dose is added using LaunchAddToEffectList(Name As String) As Boolean. Finally, LaunchAddNestEffect() As Boolean is called and it creates the effect ID[Dose]. LaunchAddToEffectList(Name As String) As Boolean Adds the column specified by Name to the effects columns list. This is the list of columns used when creating Model Effects using the LaunchAddXEffect, LaunchAddNestEffect, LaunchAddCrossEffect, and LaunchAddMacroEffect methods. This list does not contain the Effects created by these methods. LaunchAddXEffect() As Boolean Creates a simple model effect. This is the same as using the Add button in the Fit Model launcher dialog. The columns currently in the effect column list are used. These must have been specified using LaunchAddToEffectList(Name As String) As Boolean. LaunchAddXEffectWithTransform(transform as fitModelTransforms) Add a transformed effect. Examples are Exponential and Square. The name of the column to use for the effect must have been added previously using LaunchAddToEffectList(Name As String) As Boolean. LaunchAddYWithTransform(ColumnName As String, transform as fitModelTransforms) As Boolean Add a Y variable to the analysis, supplying a transform like Log or Sqrt. Returns True for success, False for failure. Page 93
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Automation Reference - JMP

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