Automation Reference - JMP

Application Object Reference for Automating JMP
Platform Methods
SeparateAxes(Flag As Boolean)
Turns the display option On (True) or Off (False).
ShowPoints(Flag As Boolean)
Turns the display option On (True) or Off (False).
SpecifyQuantilesVal(Quantiles as Double) As Boolean
If a column with the Quantiles statistic is added, this method can be used to specify the quantile value. The
quantile value is 25.0 by default. This method should be called before the column is added using
LaunchAddY(ColumnName As String, Statistic as Short).
SpecifyType(ChartType as Short)
Specifies the type (Bar, Needle, Point, Line, or Pie) of chart that you want to display. Get the value for the
parameter from the chartChartTypeConstants.
Cluster Object Methods
The Cluster object provides a way to launch and manipulate both Hierarchical and K-Means cluster analyses.
See “Common Analysis Functions” for most details on starting the analysis.
Notes:
There are two important Cluster-specific launch methods:
• LaunchSpecifyKMeans(Flag As Boolean)
• LaunchSpecifyDistanceFormula(FormulaType As Integer)
Hierarchical and K-means clustering also each have methods specific to them. See Hierarchical Cluster Methods
and KMeans Cluster Methods.
ColorClusters(Flag As Boolean)
An On(True)/Off(False) option that mirrors its non-automation counterpart.
KMParallelCoordPlots(Flag as Boolean) As Boolean
Displays the parallel coordinate plots for a K-Means Cluster analysis.
LaunchSpecifyDistanceFormula(FormulaType As Integer)
Specifies the distance formula to use when computing the clusters (e.g. Centroid, Ward etc.). The FormulaType
parameter should be a value from clusterDistanceConstants.
LaunchSpecifyKMeans(Flag As Boolean)
Indicates whether a Hierarchical (False) or K-Means (True) analysis should be performed. Once the Launch
method is called, some methods will only work if called for their particular platform. The methods specific to
each platform are detailed below.
Legend(Flag As Boolean)
Show the legend (True) or hide it (False).
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