Automation Reference - JMP

Application Object Reference for Automating JMP
Platform Methods
Quantiles(UpperLimit As Double, LowerLimit As Double, Target As Double)
Returns the unscaled and uncentered distribution specific upper and lower percentiles that you specify.
LabelCumPoints(Flag As Boolean)
Turns the option on (True) or off (False).
RemoveFit()
Removes the fit from the analysis. The object pointer is no longer valid after this call.
SaveDensityFormula()
Saves the density values into a new column of the data table.
SaveFittedQuantiles()
Saves the fitted quantile values into a new column of the data table.
SpecLimits(lower as Double, upper as Double, target as Double)
Displays the specification limits for a capability analysis.
Distribution Object Methods
The Distribution object provides a way to launch and manipulate distribution analyses.
BetaBinomialFit(Sample Size as Integer, Sample Column as String) As Fit
Perform a Beta Binomial Fit on an existing Distribution. If you enter a numeric value for sample size, you must
enter an empty string ("") as the Sample Column name. As an alternative, you can enter the name of a column
that contains the sample size as the second parameter. In that case, the first parameter is ignored. A Fit object is
returned for further manipulation.
BinomialFit(Sample Size as Integer, Sample Column as String) As Fit
Perform a Binomial Fit on an existing Distribution. If you enter a numeric value for sample size, you must enter
an empty string ("") as the Sample Column name. As an alternative, you can enter the name of a column that
contains the sample size as the second parameter. In that case, the first parameter is ignored. A Fit object is
returned for further manipulation.
CapabilityAnalysis(LowerLimit As Double, UpperLimit As Double, Target As Double, Sigma As Double)
Performs a capability analysis with the provided lower spec limit, upper spec limit, target value and sigma.
CDFPlot(Flag As Boolean)
Display option that can be set by specifying True for parameter, or reset by specifying False.
ConfidenceInterval(Alpha As Double)
Compute the confidence intervals, with the given alpha levels, for means and standard deviations if the columns
are continuous and for proportions if the columns are discrete.
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