Index (Java Statistical Classes)

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Java Statistical Classes

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ABOVE - Static variable in class jsc.swt.plot2d.PlotText: Orientation value: text is centered above its anchor point.
ABS - Static variable in class jsc.mathfunction.StatisticalMathFunction: Absolute value.
ABS - Static variable in class jsc.mathfunction.StandardMathFunction: Absolute value.
AbstractConfidenceInterval - class jsc.ci.AbstractConfidenceInterval.: Base class for classes that implement the ConfidenceInterval interface.
AbstractConfidenceInterval() - Constructor for class jsc.ci.AbstractConfidenceInterval: Default constructor.
AbstractConfidenceInterval(double) - Constructor for class jsc.ci.AbstractConfidenceInterval: Create the confidence interval for a given confidence coefficient.
AbstractConfidenceInterval(double, double, double) - Constructor for class jsc.ci.AbstractConfidenceInterval: Create the confidence interval for a given confidence coefficient and limits.
AbstractContinuousDistribution - class jsc.distributions.AbstractContinuousDistribution.: An implementation of the Distribution interface to serve as a basis for implementing various continuous distributions.
AbstractContinuousDistribution(double, double, boolean) - Constructor for class jsc.distributions.AbstractContinuousDistribution: Creates the distribution for the given variate range.
AbstractDiscreteDistribution - class jsc.distributions.AbstractDiscreteDistribution.: An implementation of the Distribution interface to serve as a basis for implementing various discrete distributions.
AbstractDiscreteDistribution(long, long) - Constructor for class jsc.distributions.AbstractDiscreteDistribution: Creates the distribution for the given variate range.
AbstractDistribution - class jsc.distributions.AbstractDistribution.: Root class for classes that implement the Distribution interface.
AbstractDistribution() - Constructor for class jsc.distributions.AbstractDistribution: Creates a pseudo-random number generator for use by subclassed specific distributions
AbstractFrequencyTable - class jsc.descriptive.AbstractFrequencyTable.: This class is the super class for classes representing a table of frequencies calculated from a sample of observations.
AbstractFrequencyTable(String) - Constructor for class jsc.descriptive.AbstractFrequencyTable: Creates the table with given name.
AbstractMathFunction - class jsc.mathfunction.AbstractMathFunction.: Classes derived from AbstractMathFunction enable the parsing, evaluation and differentiation of mathematical expressions at run-time.
AbstractMathFunction() - Constructor for class jsc.mathfunction.AbstractMathFunction: Constructor for constant valued expressions.
AbstractMathFunction(MathFunctionVariables) - Constructor for class jsc.mathfunction.AbstractMathFunction: The constructor's argument provides an interface to the variables when parsing and evaluating functions.
accept(File) - Method in class jsc.swt.file.ExampleFileFilter: Return true if this file should be shown in the directory pane, false if it shouldn't.
achievedConfidence - Variable in class jsc.ci.DistributionFreeCI: The true confidence coefficient achieved by the interval.
ACOS - Static variable in class jsc.mathfunction.StatisticalMathFunction: Arccosine function.
ACOS - Static variable in class jsc.mathfunction.StandardMathFunction: Arccosine function.
actionPerformed(ActionEvent) - Method in class jsc.swt.help.HelpAction: Calls method showHelp().
ADD - Static variable in class jsc.mathfunction.StatisticalMathFunction: Binary addition.
ADD - Static variable in class jsc.mathfunction.StandardMathFunction: Binary addition.
add(Action, String) - Method in class jsc.swt.control.ToolBar: Add a button to the toolbar having the given action and tool tip.
add(Action, String, boolean) - Method in class jsc.swt.control.ToolBar: Add a button to the toolbar having the given action and tool tip.
add(Component) - Method in class jsc.swt.text.StatisticalDocument
add(Component, String) - Method in class jsc.swt.dialogue.Dialogue: Adds a component to the dialogue at the specified position.
add(DefaultStyledDocument) - Method in class jsc.swt.text.StatisticalDocument: Append a document to this document.
add(double) - Method in class jsc.swt.text.StatisticalDocument
add(int) - Method in class jsc.swt.text.StatisticalDocument
add(String) - Method in class jsc.swt.text.StatisticalDocument
add(VDimension) - Method in class jsc.swt.virtualgraphics.VPoint: Return the result of adding a virtual dimension to this point.
addBars(CategoricalTally, float, Color, Paint, boolean) - Method in class jsc.swt.plot2d.VerticalBarChart: Add a set of bars to the plot.
addBars(FrequencyTable, Color, Paint, Stroke, boolean) - Method in class jsc.swt.plot2d.PdfPlot: Add a set of bars to the plot.
addBars(FrequencyTable, Color, Paint, Stroke, boolean) - Method in class jsc.swt.plot2d.Histogram2D: Add a set of bars to the plot.
addBars(FrequencyTable, Color, Stroke) - Method in class jsc.swt.plot2d.PdfPlot: Add a set of bars to the plot.
addBars(FrequencyTable, Color, Stroke) - Method in class jsc.swt.plot2d.Histogram2D: Add a set of bars to the plot.
addBars(FrequencyTable, Paint) - Method in class jsc.swt.plot2d.PdfPlot: Add a set of bars to the plot.
addBars(FrequencyTable, Paint) - Method in class jsc.swt.plot2d.Histogram2D: Add a set of bars to the plot.
addBars(Tally, double, Color, Paint, boolean, double) - Method in class jsc.swt.plot2d.PdfPlot: Add a set of bars to the plot.
addBreak(int) - Method in class jsc.swt.text.StatisticalDocument
addBullet() - Method in class jsc.swt.text.StatisticalDocument
addCdf(Distribution, double, double, int, Color, Stroke) - Method in class jsc.swt.plot2d.CdfPlot: Add the curve of cdf(x) of a continuous distribution to the plot.
addCdf(Distribution, int, int, Color, Stroke) - Method in class jsc.swt.plot2d.CdfPlot: Add the curve of cdf(x) of a discrete distribution to the plot.
addChangeListener(ChangeListener) - Method in class jsc.swt.plot2d.SplinePlot2D: Registers the specified change listener with all of the bead sliders in the plot.
addColumn() - Method in class jsc.swt.datatable.DataTable: Add a column to the end of the data table.
addColumn() - Method in class jsc.swt.datatable.DataModel: Add a new column.
addColumn() - Method in class jsc.swt.datatable.DataMatrix: Add a new column to end of data matrix.
addComponent(Component, VPoint, VDimension) - Method in class jsc.swt.plot2d.PlotPanel: Add a component to the plot.
addComponent(Component, VRectangle) - Method in class jsc.swt.plot2d.PlotPanel: Add a component to the plot.
addComponent(JLabel, Component, int) - Method in class jsc.swt.dialogue.FieldDialogue: Add a labelled component to the dialogue at the specified row position.
addComponent(JLabel, Component, int, int) - Method in class jsc.swt.panel.FieldPanel: Add a labelled component to the panel at the specified position.
addComponents(Component, Component, int, int) - Method in class jsc.swt.panel.FieldPanel: Add two unlabelled components to the panel at the specified position.
addConfidenceBand(ConfidenceBand, Color, Stroke) - Method in class jsc.swt.plot2d.CdfPlot: Add curves representing a confidence band to the plot.
addDash() - Method in class jsc.swt.text.StatisticalDocument
addDegrees() - Method in class jsc.swt.text.StatisticalDocument
addDiv() - Method in class jsc.swt.text.StatisticalDocument
addDivider() - Method in class jsc.swt.text.StatisticalDocument
addExtension(String) - Method in class jsc.swt.file.ExampleFileFilter: Adds a filetype "dot" extension to filter against.
addField(JLabel, JTextField, int, int) - Method in class jsc.swt.panel.FieldPanel: Add a labelled field to the panel at the specified position.
addField(JLabel, JTextField, int, int, char) - Method in class jsc.swt.panel.FieldPanel: Add a labelled field to the panel at the specified position.
addField(JLabel, JTextField, JLabel, int) - Method in class jsc.swt.dialogue.FieldDialogue: Add a labelled field to the dialogue at the specified row position.
addField(JLabel, JTextField, JLabel, int, char) - Method in class jsc.swt.dialogue.FieldDialogue: Add a labelled field to the dialogue at the specified row position.
addField(JLabel, JTextField, JLabel, int, int) - Method in class jsc.swt.panel.FieldPanel: Add a labelled field and units label to the panel at the specified position.
addField(JLabel, JTextField, JLabel, int, int, char) - Method in class jsc.swt.panel.FieldPanel: Add a labelled field and units label to the panel at the specified position.
addField(String, JTextField, int) - Method in class jsc.swt.dialogue.FieldDialogue: Add a labelled field to the dialogue at the specified row position.
addField(String, JTextField, int, char) - Method in class jsc.swt.dialogue.FieldDialogue: Add a labelled field to the dialogue at the specified row position.
addField(String, JTextField, int, int) - Method in class jsc.swt.panel.FieldPanel: Add a labelled field to the panel at the specified position.
addField(String, JTextField, int, int, char) - Method in class jsc.swt.panel.FieldPanel: Add a labelled field to the panel at the specified position.
addFunction(PlotFunction, double, double, int, Color) - Method in class jsc.swt.plot2d.FunctionPlot2D: Add the curve of a function f(x) to the plot.
addFunction(PlotFunction, double, double, int, Color, boolean) - Method in class jsc.swt.plot2d.FunctionPlot2D: Add the curve of a function f(x) to the plot.
addFunction(PlotFunction, double, double, int, Color, Stroke) - Method in class jsc.swt.plot2d.FunctionPlot2D: Add the curve of a function f(x) to the plot.
addFunction(PlotFunction, double, double, int, Color, Stroke, Paint, boolean) - Method in class jsc.swt.plot2d.FunctionPlot2D: Add the curve of a function f(x) to the plot.
addFunction(PlotFunction, int, Color) - Method in class jsc.swt.plot2d.FunctionPlot2D: Add the curve of a function f(x) to the plot.
addFunction(PlotFunction, int, Color, Stroke) - Method in class jsc.swt.plot2d.FunctionPlot2D: Add the curve of a function f(x) to the plot.
addMarkers(double[], double[], int, int, Color, Stroke) - Method in class jsc.swt.plot2d.ScatterPlot2D: Add a set of standard markers to the plot at the specified (x,y) co-ordinates.
addMinus() - Method in class jsc.swt.text.StatisticalDocument
addMult() - Method in class jsc.swt.text.StatisticalDocument
addObject(PlotObject) - Method in class jsc.swt.plot2d.PlotPanel: Add an object to the plot.
addObjects(PlotObject[]) - Method in class jsc.swt.plot2d.PlotPanel: Add an array of objects to the plot.
addPdf(Distribution, double, double, int, Color, boolean) - Method in class jsc.swt.plot2d.PdfPlot: Add the curve of pdf(x) of a continuous distribution to the plot.
addPdf(Distribution, double, double, int, Color, Stroke) - Method in class jsc.swt.plot2d.PdfPlot: Add the curve of pdf(x) of a continuous distribution to the plot.
addPdf(Distribution, double, double, int, Color, Stroke, Paint, boolean) - Method in class jsc.swt.plot2d.PdfPlot: Add the curve of pdf(x) of a continuous distribution to the plot.
addPdf(Distribution, int, Color) - Method in class jsc.swt.plot2d.PdfPlot: Add the pdf curve of distribution d to the plot.
addPdf(Distribution, int, Color, Stroke) - Method in class jsc.swt.plot2d.PdfPlot: Add the pdf curve of distribution d to the plot.
addPM() - Method in class jsc.swt.text.StatisticalDocument
addPmf(Distribution, int, double, double, double, Color, Paint, boolean) - Method in class jsc.swt.plot2d.PdfPlot: Add the pmf bars of discrete distribution d to the plot.
addPmf(Distribution, int, double, double, double, Color, Paint, boolean, double) - Method in class jsc.swt.plot2d.PdfPlot: Add the pmf bars of discrete distribution d to the plot.
addPmf(Distribution, int, int, double, Color, Paint, boolean) - Method in class jsc.swt.plot2d.PdfPlot: Add the pmf bars of discrete distribution d to the plot.
addProportion(int) - Method in class jsc.swt.plot2d.ProportionPlot2D: Add a proportion to the plot using the given current number of successes.
addRenderingHint(RenderingHints.Key, Object) - Method in class jsc.swt.plot2d.PlotPanel: Adds a rendering hint to the plot.
addRow() - Method in class jsc.swt.datatable.DataTable: Add a row to bottom of the data table.
addRow() - Method in class jsc.swt.datatable.DataModel: Add a new row.
addRow() - Method in class jsc.swt.datatable.DataMatrix: Add a new row to bottom of data matrix.
addSampleDistributionFunction(SampleDistributionFunction, Color, Stroke) - Method in class jsc.swt.plot2d.CdfPlot: Add the curve of a sample distribution function to the plot.
addSqrt() - Method in class jsc.swt.text.StatisticalDocument
addStatisticListener(StatisticListener) - Method in class jsc.tests.ResampleTest: Adds a listener for any events fired by a sampling event.
addStatisticListener(StatisticListener) - Method in class jsc.tests.BootstrapTest: Adds a listener for any events fired by a sampling event.
addStepFunction(double[], double[], boolean, Color, Stroke) - Method in class jsc.swt.plot2d.CdfPlot: Add the curve of a step function f(x) to the plot.
addSymbol(int) - Method in class jsc.swt.text.StatisticalDocument
addToDesktop(JDesktopPane) - Method in class jsc.swt.control.ToolBar: Add the toolbar to the palette layer of the specified desktop.
addToggleButton(JToggleButton, int, char) - Method in class jsc.swt.dialogue.FieldDialogue: Add a labelled checkbox or radio button to the dialogue at the specified row.
addToggleButton(JToggleButton, int, int, char) - Method in class jsc.swt.panel.FieldPanel: Add a labelled checkbox or radio button to the panel at the specified position.
addValue(double) - Method in class jsc.descriptive.MeanVar: Adds a new value to the sample and updates the mean and variance.
addValue(double) - Method in class jsc.descriptive.IrregularFrequencyTable: Add a new value to the frequency table.
addValue(double) - Method in class jsc.descriptive.FrequencyTable: Add a new value to the frequency table.
addValue(double) - Method in class jsc.descriptive.DoubleTally: Adds a datum to the tally.
addValue(double) - Method in interface jsc.descriptive.DoubleFrequencyTable: Add a new value to the frequency table.
addValue(int) - Method in class jsc.descriptive.Tally: Adds a new value to the tally.
addValue(String) - Method in class jsc.descriptive.CategoricalTally: Adds a new value to the tally if it equals a label.
addValues(double[]) - Method in class jsc.descriptive.IrregularFrequencyTable: Add an array of new values to the frequency table.
addValues(double[]) - Method in class jsc.descriptive.FrequencyTable: Add an array of new values to the frequency table.
addValues(double[]) - Method in interface jsc.descriptive.DoubleFrequencyTable: Add an array of new values to the frequency table.
addVerticalLine(double, Color, Stroke) - Method in class jsc.swt.plot2d.AxesPlot: Add a vertical line through x on the horizontal axis from the minimum to the maximum of the vertical axis, using the specified colour and stroke style.
addVerticalLine(double, double, double, Color, Stroke) - Method in class jsc.swt.plot2d.AxesPlot: Add a vertical line through x on the horizontal axis from y1 to y2 on the vertical axis, using the specified colour and stroke style.
AND - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator for conjunction: symbol &.
antilog(double) - Method in class jsc.util.Logarithm: Returns antilogarithm of y to specified base.
append(double[], double[]) - Static method in class jsc.util.Arrays: Append array x to end of array y and return new array.
append(Shape, boolean) - Method in class jsc.swt.virtualgraphics.Path: Appends the geometry of the specified Shape object to the path, possibly connecting the new geometry to the existing path segments with a line segment.
AppFile - interface jsc.swt.file.AppFile.: Defines the interface for an application file.
AppFileActions - class jsc.swt.file.AppFileActions.: Encapsulates file handling for an application.
AppFileActions(Component, AppFile, FileFilter, String) - Constructor for class jsc.swt.file.AppFileActions: Creates a new instance of this class from the specified application and file information.
AppFileActions(Component, AppFile, String, String) - Constructor for class jsc.swt.file.AppFileActions: Creates a new instance of this class from the specified application and file information.
APPROX - Static variable in class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Indicates approximate confidence interval.
approxCriticalValue(int, double) - Static method in class jsc.goodnessfit.KolmogorovCB: Calculate an approximate critical value of the Kolmogorov-Smirnov statistic for completely specified continuous distributions.
approxSP() - Method in class jsc.independentsamples.MannWhitneyTest: Calculate the approximate significance probability of the test statistic using the normal approximation.
approxSP() - Method in class jsc.onesample.WilcoxonTest: Approximate significance probability of Wilcoxon's signed-rank test.
approxSP(int[], double) - Static method in class jsc.independentsamples.JonckheereTest: Normal approximation to significance probability of Jonckheere's test statistic.
approxSP(int, int, double) - Static method in class jsc.relatedsamples.PageTest: Approximate significance probability of Page's test statistic.
approxSP(int, int, double, H1) - Static method in class jsc.independentsamples.SmirnovTest: Approximate significance probability of Smirnov's statistics.
approxUpperTailProb(int, double) - Static method in class jsc.goodnessfit.KolmogorovTest: Approximate upper tail probability of Kolmogorov-Smirnov statistic.
Arrays - class jsc.util.Arrays.: This class provides some utility methods for manipulations and calculations on arrays.
ASIN - Static variable in class jsc.mathfunction.StatisticalMathFunction: Arcsine function.
ASIN - Static variable in class jsc.mathfunction.StandardMathFunction: Arcsine function.
ASTERISK - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker resembling an asterisk.
ATAN - Static variable in class jsc.mathfunction.StatisticalMathFunction: Arctangent function.
ATAN - Static variable in class jsc.mathfunction.StandardMathFunction: Arctangent function.
attributes - Variable in class jsc.swt.text.StatisticalDocument
AUTO - Static variable in class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Indicates automatic selection of method.
AxesPlot - class jsc.swt.plot2d.AxesPlot.: This class represents a two-dimensional plot (graph) consisting of a title and two axes.
AxesPlot(AxisModel, AxisModel, Color, Stroke, int, Stroke, Color, Font, Color, Font, String, Color, Font) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot given axis models, title, and their graphical attributes and fonts.
AxesPlot(AxisModel, AxisModel, double, double, Color, Stroke, int, Stroke, Color, Font, Color, Font, String, Color, Font) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot given axis models, title, and their graphical attributes and fonts.
AxesPlot(AxisModel, AxisModel, double, double, String) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot given axis models and title.
AxesPlot(AxisModel, AxisModel, String) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot given axis models and title.
AxesPlot(HorizontalAxis, VerticalAxis, String) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot given the axes and title.
AxesPlot(HorizontalAxis, VerticalAxis, String, Color, Font) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot given the axes and title.
AxesPlot(String) - Constructor for class jsc.swt.plot2d.AxesPlot: Creates the plot with given title and default axis objects.
Axis - class jsc.swt.plot2d.Axis.: This is the superclass for axes drawn on a plot.
Axis() - Constructor for class jsc.swt.plot2d.Axis: Creates a default axis with minimum 0, maximum 1 and tick marks at 0 and 1.
Axis(AxisModel) - Constructor for class jsc.swt.plot2d.Axis: Copies the AxisModel data structure and creates arrays to store tick marks and their labels.
axisLabel - Variable in class jsc.swt.plot2d.Axis: The axis label.
axisLine - Variable in class jsc.swt.plot2d.Axis: The axis line.
axisModel - Variable in class jsc.swt.plot2d.Axis: The AxisModel of the axis.
AxisModel - interface jsc.swt.plot.AxisModel.: This interface describes an axis drawn on a plot.

B

Bars - class jsc.swt.virtualgraphics.Bars.: This class represents an array of vertical bars in a virtual coordinate system.
Bars(VPoint[]) - Constructor for class jsc.swt.virtualgraphics.Bars: Creates the array of bars using an array of points that specify the top of the bars.
BeadSlider - class jsc.swt.plot.BeadSlider.: This class represents a "bead" that can be moved vertically by the user with the mouse.
BeadSlider(int, double, double, double, double, double, Color) - Constructor for class jsc.swt.plot.BeadSlider: Creates a bead slider.
BeadSliderUI - class jsc.swt.plot.BeadSliderUI.: This class is used by class BeadSlider.
BeadSliderUI() - Constructor for class jsc.swt.plot.BeadSliderUI: Creates the UI delegate object.
beep() - Static method in class jsc.Utilities: Emits an audio beep.
BELOW - Static variable in class jsc.swt.plot2d.PlotText: Orientation value: text is centered below its anchor point.
Bernoulli - class jsc.distributions.Bernoulli.: This class represents a Bernoulli distribution.
Bernoulli(double) - Constructor for class jsc.distributions.Bernoulli: Create a Bernoulli distribution object.
Beta - class jsc.distributions.Beta.: This class represents a Beta distribution with shape parameters p and q.
Beta(double, double) - Constructor for class jsc.distributions.Beta: Create a Beta distribution with shape parameters p and q.
betaApproxSP(int[], double) - Static method in class jsc.independentsamples.KruskalWallisTest: Beta approximation to significance probability of the Kruskal-Wallis test statistic.
betaApproxSP(int, int, double, double) - Static method in class jsc.relatedsamples.FriedmanTest: Beta approximation to significance probability of Friedman's test.
BIG_VAL - Static variable in class jsc.mathfunction.StandardMathFunctionDerivatives: "Trip wire" value for detecting evaluation of Taylor coefficient is approaching overflow.
BINARY_OP - Static variable in class jsc.mathfunction.AbstractMathFunction: Type code for binary infix operator.
binaryOperation(int, double, double) - Method in class jsc.mathfunction.StatisticalMathFunction: Performs a binary operation, indicated by code, on operands x and y and returns the result.
binaryOperation(int, double, double) - Method in class jsc.mathfunction.StandardMathFunction: Performs a binary operation, indicated by code, on operands x and y and returns the result.
binaryOperation(int, double, double) - Method in class jsc.mathfunction.AbstractMathFunction: Returns value of a binary operation having the give code.
Binomial - class jsc.distributions.Binomial.: This class represents a binomial distribution.
Binomial(long, double) - Constructor for class jsc.distributions.Binomial: Create a binomial distribution with parameters n and p.
binomialCoefficient(long, long) - Static method in class jsc.util.Maths: Returns the binomial coefficient.
bisection(Function, double, double, double, int) - Static method in class jsc.numerical.Roots: Solve f(x) = 0 using the bisection method.
BitVector - class jsc.util.BitVector.: Vector of n zero-one (false-true) bits.
BitVector(boolean[]) - Constructor for class jsc.util.BitVector: Create a new bit vector from an array of n boolean values.
BitVector(int) - Constructor for class jsc.util.BitVector: Creates a new bit vector with n bits.
BitVector(int[]) - Constructor for class jsc.util.BitVector: Create a new bit vector from an array of n integers.
bold() - Method in class jsc.swt.text.StatisticalDocument
bold(String) - Method in class jsc.swt.text.StatisticalDocument
bootstrapSample() - Method in class jsc.independentsamples.TwoSampleBootstrapMeansTest
bootstrapSample() - Method in class jsc.independentsamples.TwoSampleBootstrapDistsTest
bootstrapSample() - Method in class jsc.tests.ResampleTest: Calculate the statistic for a single bootstrap sample.
bootstrapSample() - Method in class jsc.tests.BootstrapTest: Calculate the statistic for a single bootstrap sample.
BootstrapTest - class jsc.tests.BootstrapTest.: Root class for bootstrap significance tests.
BootstrapTest(double, Tail, StatisticListener) - Constructor for class jsc.tests.BootstrapTest: Instantiate the object.

C

c - Variable in class jsc.swt.panel.FieldPanel: This field holds the gridbag constraints instance used to to arrange the labels and fields.
calculate(StatisticalMathFunction, CalculatorVariables) - Method in class jsc.swt.datatable.DataTable: Calculate new column using the function and write them to a new column.
calculateSP() - Method in class jsc.tests.PermutationTest: Calculate the significance probability using all possible permutations.
calculateSP(int) - Method in class jsc.tests.ResampleTest: Estimate the significance probability by taking a random sample of bootstraps.
calculateSP(int) - Method in class jsc.tests.PermutationTest: Estimate the significance probability by taking a random sample of permutations.
calculateSP(int) - Method in class jsc.tests.BootstrapTest: Estimate the significance probability by taking a random sample of bootstraps.
calculateSP(int, double) - Method in class jsc.tests.PermutationTest: Estimate the significance probability by taking random samples of permutations.
Calculator - class jsc.swt.accessory.Calculator.: This class provides a calculator accessory in the form of a dialogue window.
Calculator(Component) - Constructor for class jsc.swt.accessory.Calculator: Create the dialogue.
CalculatorVariables - class jsc.swt.datatable.CalculatorVariables.: This class provides an interface to variables of a DataTable object required by subclasses of AbstractMathFunction for parsing and evaluating statistical functions at run time.
CalculatorVariables(DataTable) - Constructor for class jsc.swt.datatable.CalculatorVariables: Creates the interface for the given data table.
CaseInsensitiveVector - class jsc.util.CaseInsensitiveVector.: This class extends the Vector class.
CaseInsensitiveVector() - Constructor for class jsc.util.CaseInsensitiveVector
CaseInsensitiveVector(int) - Constructor for class jsc.util.CaseInsensitiveVector
CaseInsensitiveVector(int, int) - Constructor for class jsc.util.CaseInsensitiveVector
CategoricalTally - class jsc.descriptive.CategoricalTally.: This class represents a table of frequencies (a tally) for categorical data.
CategoricalTally(String, String[]) - Constructor for class jsc.descriptive.CategoricalTally: Creates the tally from an array of string data.
CategoricalTally(String, String[], int[]) - Constructor for class jsc.descriptive.CategoricalTally: Creates the tally from an array of labels and their frequencies.
CategoricalTally(String, String[], String[]) - Constructor for class jsc.descriptive.CategoricalTally: Creates the tally from an array of string data.
Cauchy - class jsc.distributions.Cauchy.: This class represents a Cauchy distribution.
Cauchy() - Constructor for class jsc.distributions.Cauchy: Creates a Cauchy distribution with location parameter (median) zero and scale parameter 1.
Cauchy(double, double) - Constructor for class jsc.distributions.Cauchy: Creates a Cauchy distribution with specified location parameter (median) and scale parameter.
cdf(double) - Method in class jsc.distributions.Weibull: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Uniform: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.StudentsT: Returns the value of the cumulative density function at t.
cdf(double) - Method in class jsc.distributions.PowerFunction: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Poisson: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Pareto: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Normal: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.NoncentralStudentsT: Calculates the value of the cumulative density function at t.
cdf(double) - Method in class jsc.distributions.NoncentralFishersF: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.NoncentralChiSquared: Calculates the value of the cumulative density function at x.
cdf(double) - Method in class jsc.distributions.NoncentralBeta: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.NegativeBinomial: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Lognormal: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Logistic
cdf(double) - Method in class jsc.distributions.LogarithmicSeries: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Laplace
cdf(double) - Method in class jsc.distributions.Hypergeometric: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Geometric1: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Geometric: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Gamma: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.FishersF: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.ExtremeValue: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.ExtendedHypergeometric: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Exponential: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in interface jsc.distributions.Distribution: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.DiscreteUniform: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Discrete: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Cauchy
cdf(double) - Method in class jsc.distributions.Binomial: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Beta: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.Bernoulli: Returns the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.AbstractDistribution
cdf(double) - Method in class jsc.distributions.AbstractDiscreteDistribution: Calculates the value of the cumulative density function at a variate-value x.
cdf(double) - Method in class jsc.distributions.AbstractContinuousDistribution: Calculate the value of the cumulative density function at a variate-value x.
CdfPlot - class jsc.swt.plot2d.CdfPlot.: This class represents the plot of a cumulative distribution function (often simply called the distribution function).
CdfPlot(String, AxisModel) - Constructor for class jsc.swt.plot2d.CdfPlot: Creates the plot with given title and X Axis object.
CdfPlot(String, AxisModel, AxisModel) - Constructor for class jsc.swt.plot2d.CdfPlot: Creates the plot with given title and Axis objects.
CELLS - Static variable in class jsc.swt.datatable.DataClipboard: Copy mode: indicates any block of cells of table were copied.
CENTER - Static variable in class jsc.swt.plot2d.PlotText: Orientation value: text is centered on its anchor point.
changeColumnType() - Method in class jsc.swt.datatable.DataTable: Display a pop-up menu for changing the type of the currently selected column.
changeColumnType(int) - Method in class jsc.swt.datatable.DataTable: Display a pop-up menu for changing the type of a column.
ChiSquared - class jsc.distributions.ChiSquared.: This class represents a Chi-squared distribution.
ChiSquared(double) - Constructor for class jsc.distributions.ChiSquared: Creates a Chi-squared distribution with parameter specified degrees of freedom.
chiSquaredApproxSP(int, double) - Static method in class jsc.independentsamples.KruskalWallisTest: Chi-squared approximation to the significance probability of the Kruskal-Wallis test statistic.
chiSquaredApproxSP(int, double) - Static method in class jsc.relatedsamples.FriedmanTest: Chi-squared approximation to significance probability of Friedman's test.
ChiSquaredFitTest - class jsc.goodnessfit.ChiSquaredFitTest.: Chi-squared goodness-of-fit test.
ChiSquaredFitTest(CategoricalTally) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from a table of frequencies.
ChiSquaredFitTest(CategoricalTally, double[], int) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from a table of frequencies and corresponding probabilities.
ChiSquaredFitTest(DoubleFrequencyTable, Distribution, int) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from a table of frequencies and specified distribution for the null hypothesis.
ChiSquaredFitTest(DoubleTally, Distribution, int) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from a table of frequencies for real data, and specified distribution for the null hypothesis.
ChiSquaredFitTest(int[]) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from an array of frequencies.
ChiSquaredFitTest(int[], double[], int) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from an array of frequencies and corresponding probabilities.
ChiSquaredFitTest(Tally) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from a table of frequencies.
ChiSquaredFitTest(Tally, Distribution, int) - Constructor for class jsc.goodnessfit.ChiSquaredFitTest: Create significance test results from a table of frequencies and specified distribution for the null hypothesis.
ChiSquaredTest - class jsc.contingencytables.ChiSquaredTest.: Chi-squared test for independence.
ChiSquaredTest(ContingencyTable) - Constructor for class jsc.contingencytables.ChiSquaredTest: Create significance test results.
CIRCLE - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker taking the form of a circle.
clear() - Method in class jsc.swt.datatable.DataTable: Clear selected cells.
clear() - Method in class jsc.swt.mdi.MDIWindow: Clear (delete) the selected part of the document.
clear() - Method in class jsc.swt.mdi.MDIEditorWindow: Clear selected text.
clear() - Method in class jsc.swt.plot2d.ProportionPlot2D: Clears the curve from the plot and resets the trial count to zero.
clearData() - Method in class jsc.descriptive.Tally: Resets all frequencies to zero.
clearData() - Method in interface jsc.descriptive.DoubleFrequencyTable: Resets all frequencies to zero.
clearData() - Method in class jsc.descriptive.AbstractFrequencyTable: Resets all frequencies to zero.
clenshawCurtis(Function, double, double, double, int) - Static method in class jsc.numerical.Integration: Clenshaw-Curtis quadrature.
clone() - Method in class jsc.contingencytables.ContingencyTable
clone() - Method in class jsc.datastructures.MatchedData
clone() - Method in class jsc.datastructures.GroupedData
clone() - Method in class jsc.descriptive.Tally
clone() - Method in class jsc.descriptive.OrderStatistics: Returns a clone of this object.
clone() - Method in class jsc.descriptive.MeanVar
clone() - Method in class jsc.descriptive.IrregularFrequencyTable
clone() - Method in class jsc.descriptive.FrequencyTable
clone() - Method in class jsc.descriptive.DoubleTally
clone() - Method in class jsc.descriptive.CategoricalTally: Returns a clone of this object.
clone() - Method in class jsc.mathfunction.CodeList: Returns a clone of this object.
clone() - Method in class jsc.swt.plot.PiAxisModel: Clone the PiAxisModel object.
clone() - Method in class jsc.swt.plot.LinearAxisModel: Clone the LinearAxisModel object.
clone() - Method in interface jsc.swt.plot.AxisModel
clone() - Method in class jsc.swt.plot2d.ScatterPlot2D
clone() - Method in class jsc.swt.plot2d.PlotShape: Clone the plot object.
clone() - Method in class jsc.swt.plot2d.PlotPanel: Clone the plot object.
clone() - Method in class jsc.swt.plot2d.CdfPlot
clone() - Method in class jsc.swt.plot2d.AxesPlot: Clone the plot object.
CLOSE_CANCELLED - Static variable in class jsc.swt.mdi.MDIApplication: Indicates closing of MDI window cancelled.
CLOSE_CONFIRMED - Static variable in class jsc.swt.mdi.MDIApplication: Indicates closing of MDI window confirmed.
closeAllWindows() - Method in class jsc.swt.mdi.MDIApplication: Closes all windows.
closePath() - Method in class jsc.swt.virtualgraphics.Path: Closes the current subpath by drawing a straight line back to the co-ordinates of the last moveTo.
CodeList - class jsc.mathfunction.CodeList.: This class implements a code list representation of a mathematical expression.
CodeList(int) - Constructor for class jsc.mathfunction.CodeList: Creates an empty code list with the given capacity.
COL_DELIMITERS - Static variable in class jsc.swt.datatable.DataTable: Delimiter characters that may separate columns of a data matrix.
COLUMNS - Static variable in class jsc.swt.datatable.DataClipboard: Copy mode: indicates complete columns of table were copied.
compare(Object, Object, boolean) - Static method in class jsc.util.Sort: Compares objects a and b, and returns -1, 0 or +1 according to whether a < b, a = b or a > b in the sense appropriate to the objects' types.
compareStrings(String, String) - Static method in class jsc.util.Sort: Compares strings a and b, and returns -1, 0 or +1 according to whether a < b, a = b or a > b.
componentBounds - Variable in class jsc.swt.plot2d.PlotPanel: Stores components' bounds as VRectangle virtual rectangles.
computeInterval(int, int, double[], double[]) - Method in class jsc.ci.DistributionFreeCI: This method computes distribution-free confidence intervals.
ConfidenceBand - interface jsc.ci.ConfidenceBand.: Defines the interface for confidence bands.
confidenceCoeff - Variable in class jsc.ci.AbstractConfidenceInterval: The confidence coefficient is a number between 0 and 1 expressing the probability of the truth of a statement that the interval will include the parameter value.
ConfidenceInterval - interface jsc.ci.ConfidenceInterval.: Defines the interface for confidence intervals.
confirmClose() - Method in class jsc.swt.file.AppFileActions: This method is called whenever the current file is about to be closed.
CONSTANT - Static variable in class jsc.mathfunction.AbstractMathFunction: Type code for symbolic constants.
contains(double, double) - Method in class jsc.swt.virtualgraphics.Path
contains(double, double, double, double) - Method in class jsc.swt.virtualgraphics.Path
contains(Point2D) - Method in class jsc.swt.virtualgraphics.Path
contains(Point2D, VirtualTransform) - Method in class jsc.swt.plot2d.TickMark: Returns false.
contains(Point2D, VirtualTransform) - Method in class jsc.swt.plot2d.PlotText: Always returns false.
contains(Point2D, VirtualTransform) - Method in class jsc.swt.plot2d.PlotShape
contains(Point2D, VirtualTransform) - Method in interface jsc.swt.plot2d.PlotObject: Tests if the object contains the given point in device (pixel) co-ordinates.
contains(Point2D, VirtualTransform) - Method in class jsc.swt.plot2d.Marker
contains(Point2D, VirtualTransform) - Method in class jsc.swt.plot2d.Axis: Always returns false.
contains(Rectangle2D) - Method in class jsc.swt.virtualgraphics.Path
containsString(String) - Method in class jsc.util.CaseInsensitiveVector
ContingencyTable - class jsc.contingencytables.ContingencyTable.: This class represents a two-dimensional contingency table.
ContingencyTable(int[][]) - Constructor for class jsc.contingencytables.ContingencyTable: Construct the contingency table.
ContingencyTable(int[], int[]) - Constructor for class jsc.contingencytables.ContingencyTable: Construct the contingency table.
ContingencyTable(int[], int[], int[][]) - Constructor for class jsc.contingencytables.ContingencyTable: Construct the contingency table.
ContingencyTable(String[], String[]) - Constructor for class jsc.contingencytables.ContingencyTable: Construct the contingency table.
ContingencyTable(String[], String[], int[][]) - Constructor for class jsc.contingencytables.ContingencyTable: Construct the contingency table.
ContingencyTable2x2 - class jsc.contingencytables.ContingencyTable2x2.: This class represents a 2 × 2 contingency table.
ContingencyTable2x2(BitVector, BitVector) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(int[][]) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(int[], int[]) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(int[], int[], int[][]) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(int, int, int, int) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(String[], String[]) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(String[], String[], int[][]) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
ContingencyTable2x2(String[], String[], int, int, int, int) - Constructor for class jsc.contingencytables.ContingencyTable2x2: Construct the contingency table.
copiedData - Static variable in class jsc.swt.datatable.Table: Application's internal clipboard used to transfer cut & copied tabular data between and within tables.
copy() - Method in class jsc.contingencytables.ContingencyTable: Create a new object that is a duplicate of this object.
copy() - Method in class jsc.datastructures.MatchedData: Create a new object that is a duplicate of this object.
copy() - Method in class jsc.datastructures.GroupedData: Create a new object that is a duplicate of this object.
copy() - Method in class jsc.mathfunction.CodeList: Return a copy of the code list.
copy() - Method in class jsc.swt.datatable.Table: Copy selected cells, rows or columns to the system clipboard and to the table's internal clipboard.
copy() - Method in class jsc.swt.mdi.MDIWindow: Copy the selected part of the document to clipboard.
copy() - Method in class jsc.swt.mdi.MDIEditorWindow: Copy selected text to system clipboard.
copy() - Method in class jsc.swt.plot.PiAxisModel: Return a copy of this PiAxisModel object.
copy() - Method in class jsc.swt.plot.LinearAxisModel: Return a copy of this LinearAxisModel object.
copy() - Method in class jsc.swt.plot2d.PlotShape: Return a copy of the plot object.
copy() - Method in class jsc.swt.plot2d.AxesPlot: Return a copy of the plot.
copy() - Method in class jsc.swt.virtualgraphics.VRectangle: Create a new rectangle that is a copy of this rectangle.
copyCells() - Method in class jsc.swt.datatable.Table: Copy selected cells to the table's internal clipboard.
copyColumn(int, int) - Method in class jsc.swt.datatable.DataModel: Copy a column into another column, overwriting target column.
copyColumn(int, int) - Method in class jsc.swt.datatable.DataMatrix: Copy a column into another column, overwriting target column.
copyColumns() - Method in class jsc.swt.datatable.Table: Copy selected columns to the table's internal clipboard.
copyContents(PlotPanel) - Method in class jsc.swt.plot2d.PlotPanel: Copy the contents of this plot to another PlotPanel object.
copyPlot() - Method in class jsc.swt.plot2d.PlotPanel: Create a new plot that is a copy of this plot.
copyRow(int, int) - Method in class jsc.swt.datatable.DataModel: Copy a row into another row, overwriting target row.
copyRow(int, int) - Method in class jsc.swt.datatable.DataMatrix: Copy a row into another row, overwriting target row.
copyRows() - Method in class jsc.swt.datatable.Table: Copy selected rows to the table's internal clipboard.
copyToSystemClipboard() - Method in class jsc.swt.datatable.Table: Convert contents of the selected cells into a string and copy to the system clipboard.
correlationCoeff(PairedData) - Static method in class jsc.correlation.LinearCorrelation: Calculates the linear (Pearson product-moment) correlation coefficient.
COS - Static variable in class jsc.mathfunction.StatisticalMathFunction: Cosine function.
COS - Static variable in class jsc.mathfunction.StandardMathFunction: Cosine function.
COSH - Static variable in class jsc.mathfunction.StatisticalMathFunction: Hyperbolic cosine function.
COSH - Static variable in class jsc.mathfunction.StandardMathFunction: Hyperbolic cosine function.
countSelections() - Method in class jsc.combinatorics.Permutations: Returns the number of permutations.
countSelections() - Method in class jsc.combinatorics.MultiSetPermutations: Returns the number of permutations.
countSelections() - Method in class jsc.combinatorics.GrayCode: Returns the number of bit vectors in the Gray code.
countSelections() - Method in interface jsc.combinatorics.Enumerator: Counts the number of selections (permutation, combination, etc.) in the series.
createDefaultModel() - Method in class jsc.swt.control.RealField
createDefaultModel() - Method in class jsc.swt.control.PosRealField
createDefaultModel() - Method in class jsc.swt.control.PosIntegerField
createDefaultModel() - Method in class jsc.swt.control.LegalCharactersField
createDefaultModel() - Method in class jsc.swt.control.IntegerField
createDefaultModel() - Method in class jsc.swt.control.IllegalCharactersField
createTransformedShape(AffineTransform) - Method in class jsc.swt.virtualgraphics.Path: Returns a new transformed Shape.
createWindow(File) - Method in class jsc.swt.mdi.MDIApplication: Given a file, creates a new window of a class derived from MDIWindow.
criticalValue(double) - Method in class jsc.distributions.WilcoxonT: Calculates a critical value of the distribution.
criticalValue(double) - Method in class jsc.distributions.RankSumOfSquares: Calculates a critical value of the distribution.
criticalValue(double) - Method in class jsc.distributions.MannWhitneyU: Calculates a critical value of the distribution.
criticalValue(double) - Method in class jsc.distributions.KruskalWallisH: Calculates a critical value of the distribution.
CROSS - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker taking the form of a St.Andrew's cross.
curveTo(double, double, double, double, double, double) - Method in class jsc.swt.virtualgraphics.Path: Adds a curved segment, defined by three new points, to the path by drawing a B�zier curve that intersects both the current coordinates and the coordinates (x3, y3), using the specified points (x1, y1) and (x2, y2) as B�zier control points.
cut() - Method in class jsc.swt.mdi.MDIWindow: Cut the selected part of the document and copy to clipboard.
cut() - Method in class jsc.swt.mdi.MDIEditorWindow: Cut selected text.

D

d - Variable in class jsc.ci.DistributionFreeCI: The d-value.
D - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Kolmogorov statistic D: the maximum absolute deviation, |S(x)-F(x)|.
DashStroke - class jsc.swt.plot2d.DashStroke.: This class implements a version of BasicStroke that is more convenient to use for dashed lines.
DashStroke(float) - Constructor for class jsc.swt.plot2d.DashStroke: Creates the dash stroke using given line width and default dash length 5.
DashStroke(float, float) - Constructor for class jsc.swt.plot2d.DashStroke: Creates the dash stroke using given line width and dash length.
DataCalculator - class jsc.swt.datatable.DataCalculator.: This is the base class for graphical components that represent a calculator for carrying out calculations on a DataTable object.
DataCalculator(Component, DataTable) - Constructor for class jsc.swt.datatable.DataCalculator: This stores the given parameters as members of this class with the same names.
DataClipboard - class jsc.swt.datatable.DataClipboard.: This class implements an internal clipboard for applications.
DataClipboard() - Constructor for class jsc.swt.datatable.DataClipboard: Create empty clipboard.
DataClipboard(int, int, int) - Constructor for class jsc.swt.datatable.DataClipboard: Create clipboard with given copy mode, number of rows and columns.
DataFile - class jsc.swt.datatable.DataFile.: This class provides static methods that support the reading and writing of the contents of DataTable objects.
DataMatrix - class jsc.swt.datatable.DataMatrix.: This class represents a data matrix structure of the kind typically seen in the data windows of statistical packages.
DataMatrix(int, int) - Constructor for class jsc.swt.datatable.DataMatrix: Create an empty data matrix with given number of rows and columns, and set class of all columns to Double.
DataMatrix(int, int, String, Class) - Constructor for class jsc.swt.datatable.DataMatrix: Create an empty data matrix with given number of rows and columns, given default names and default column classes.
DataMatrix(String, boolean, String, String, String) - Constructor for class jsc.swt.datatable.DataMatrix: Creates a data matrix from a string, using characters in given row delimiter string as row separators, and characters in given column delimiter string as value separators.
DataModel - class jsc.swt.datatable.DataModel.: This class provides an implementation of the TableModel interface by subclassing AbstractTableModel.
DataModel(DataMatrix) - Constructor for class jsc.swt.datatable.DataModel: Create data model for given data matrix.
dataTable - Variable in class jsc.swt.datatable.DataWindow: Data table displayed by the window.
dataTable - Variable in class jsc.swt.datatable.DataCalculator: The data table on which the calculations take place.
DataTable - class jsc.swt.datatable.DataTable.: This class implements a table for entering, editing and manipulating statistical data, similar to the data tables seen in data windows of most commercial statistical packages.
DataTable(DataModel) - Constructor for class jsc.swt.datatable.DataTable: Create the data table using the given data model.
DataWindow - class jsc.swt.datatable.DataWindow.: This class implements a window for entering, editing and manipulating data, similar to those seen in commercial statistical packages.
DataWindow.SelectionDebugger - class jsc.swt.datatable.DataWindow.SelectionDebugger.
DataWindow.SelectionDebugger(ListSelectionModel) - Constructor for class jsc.swt.datatable.DataWindow.SelectionDebugger
DataWindow(DataMatrix) - Constructor for class jsc.swt.datatable.DataWindow: Creates a data window containing the data of the given data matrix (which may be empty).
decimalFormat - Variable in class jsc.mathfunction.AbstractMathFunction: Format for numbers not in scientific notation.
decimalFormat - Variable in class jsc.swt.text.RealFormat: Format for numbers not in scientific notation.
decimalFormat - Variable in class jsc.swt.text.IntegerFormat: Format for integer numbers.
decrementSize() - Method in class jsc.mathfunction.CodeList: Decrease the size of the code list by 1 and return the new size.
DEFAULT_SIZE - Static variable in class jsc.swt.plot2d.TickMark: Default length of tick mark in pixels.
DEG - Static variable in class jsc.mathfunction.StatisticalMathFunction: Convert angle from radians to degrees.
DEG - Static variable in class jsc.mathfunction.StandardMathFunction: Convert angle from radians to degrees.
deleteChar(char, String) - Static method in class jsc.Utilities: Delete all instances of character c from string s.
deleteChars(String, String) - Static method in class jsc.Utilities: Delete all characters from string s that occur in string c.
DELIMITERS - Static variable in class jsc.swt.datatable.DataTable: Delimiter characters that may separate values in a data matrix.
desktop - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's desktop.
dialog - Variable in class jsc.swt.dialogue.Dialogue: The JDialog wrapper of pane.
Dialogue - class jsc.swt.dialogue.Dialogue.: This is a base class for modal dialogues, consisting of a JOptionPane object in a JDialog wrapper.
Dialogue(Component, String, String, int, int) - Constructor for class jsc.swt.dialogue.Dialogue: Create a dialogue.
DIAMOND - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker taking the form of a diamond.
differences() - Method in class jsc.datastructures.PairedData: Subtracts the elements of array y from corresponding elements of array x and returns the array of differences.
differences(double[], double[]) - Static method in class jsc.ci.DistributionFreeCI: This method computes all differences for two samples.
DigitsMenu - class jsc.swt.menu.DigitsMenu.: This class implements a menu for selecting consecutive integer numbers.
DigitsMenu(String, int, int, ActionListener) - Constructor for class jsc.swt.menu.DigitsMenu: Create the menu.
DigitsMenu(String, int, int, int, ActionListener) - Constructor for class jsc.swt.menu.DigitsMenu: Create the menu.
Discrete - class jsc.distributions.Discrete.: This class represents a general discrete distribution.
Discrete() - Constructor for class jsc.distributions.Discrete: Default constructor.
Discrete(double[]) - Constructor for class jsc.distributions.Discrete: Create a discrete distribution given an array of data values.
Discrete(double[], double) - Constructor for class jsc.distributions.Discrete: Create a discrete distribution given an array of data values.
Discrete(double[], double[]) - Constructor for class jsc.distributions.Discrete: Create a discrete distribution for given array of n variate-values and array of corresponding probabilities.
Discrete(double[], double[], boolean, double) - Constructor for class jsc.distributions.Discrete: Create a discrete distribution for given array of n variate-values and array of corresponding probabilities.
Discrete(DoubleTally) - Constructor for class jsc.distributions.Discrete: Create a discrete distribution given a tally of data values.
DiscreteUniform - class jsc.distributions.DiscreteUniform.: This class represents a discrete uniform distribution on a to b.
DiscreteUniform(long, long) - Constructor for class jsc.distributions.DiscreteUniform: Create a discrete uniform distribution for values from a to b, where b > a.
DisplayField - class jsc.swt.control.DisplayField.: This is a text field for displaying text or a number.
DisplayField(String, int) - Constructor for class jsc.swt.control.DisplayField: Create the field with the specified text, number of columns and default formatters.
DisplayField(String, int, IntegerFormat, RealFormat) - Constructor for class jsc.swt.control.DisplayField: Create the field displaying the given text, with specified number of columns and formatters.
DisplayField(String, int, RealFormat) - Constructor for class jsc.swt.control.DisplayField: Create the field displaying the given text, with specified number of columns and real formatter.
Distribution - interface jsc.distributions.Distribution.: Defines the interface for statistical distributions.
DistributionFreeCI - class jsc.ci.DistributionFreeCI.: Base class for some distribution-free confidence intervals.
DistributionFreeCI(double) - Constructor for class jsc.ci.DistributionFreeCI: Create the confidence interval for a given confidence coefficient.
DIVIDE - Static variable in class jsc.mathfunction.StatisticalMathFunction: Division.
DIVIDE - Static variable in class jsc.mathfunction.StandardMathFunction: Division: symbol /.
doaneBins(int) - Static method in class jsc.swt.plot2d.Histogram2D: Returns a suitable number of class intervals for a histogram of sample size n.
DoubleFrequencyTable - interface jsc.descriptive.DoubleFrequencyTable.: Defines the interface for a frequency table formed from double values.
DoubleTally - class jsc.descriptive.DoubleTally.: This class represents a table of frequencies for real data.
DoubleTally() - Constructor for class jsc.descriptive.DoubleTally: Creates the empty tally object.
DoubleTally(double) - Constructor for class jsc.descriptive.DoubleTally: Creates the empty tally object.
DoubleTally(double[]) - Constructor for class jsc.descriptive.DoubleTally: Creates the tally from an array of data.
DoubleTally(double[], double) - Constructor for class jsc.descriptive.DoubleTally: Creates the tally from an array of data.
DoubleTally(int, int) - Constructor for class jsc.descriptive.DoubleTally: Creates the empty tally object.
DoubleTally(int, int, double) - Constructor for class jsc.descriptive.DoubleTally: Creates the empty tally object.
dpKey(KeyEvent) - Method in class jsc.swt.control.NumberListener
draw(Graphics2D, VirtualTransform) - Method in class jsc.swt.plot2d.VerticalTickMark
draw(Graphics2D, VirtualTransform) - Method in class jsc.swt.plot2d.PlotText: Converts degrees to radians suitable for AffineTransform.rotate().
draw(Graphics2D, VirtualTransform) - Method in class jsc.swt.plot2d.PlotShape
draw(Graphics2D, VirtualTransform) - Method in interface jsc.swt.plot2d.PlotObject: Draw the object using the specified Graphics2D context and transformation.
draw(Graphics2D, VirtualTransform) - Method in class jsc.swt.plot2d.Marker
draw(Graphics2D, VirtualTransform) - Method in class jsc.swt.plot2d.HorizontalTickMark
draw(Graphics2D, VirtualTransform) - Method in class jsc.swt.plot2d.Axis

E

E_CONST - Static variable in class jsc.mathfunction.StatisticalMathFunction: Constant value: symbol e.
E_CONST - Static variable in class jsc.mathfunction.StandardMathFunction: Constant value: symbol e.
editColumnName() - Method in class jsc.swt.datatable.DataTable: Initiates editing of the column name in the currently selected column.
editColumnName(int) - Method in class jsc.swt.datatable.DataTable: Initiates editing of a column name.
editMenu - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's Edit menu.
Ellipse - class jsc.swt.virtualgraphics.Ellipse.: This class represents an ellipse in a virtual co-ordinate system.
Ellipse(double, double, double, double) - Constructor for class jsc.swt.virtualgraphics.Ellipse: Creates the ellipse bounded by a rectangle with given upper-left corner, width and height.
Ellipse(VPoint, VDimension) - Constructor for class jsc.swt.virtualgraphics.Ellipse: Creates an ellipse centered on a point.
Ellipse(VPoint, VPoint) - Constructor for class jsc.swt.virtualgraphics.Ellipse: Create the ellipse bounded by a rectangle with give upper-left and lower-right corners.
enlarge(double, double) - Method in class jsc.swt.virtualgraphics.VRectangle: Enlarges the rectangle by given multiplicative factors while retaining the same centre.
ensureComponentCapacity(int) - Method in class jsc.swt.plot2d.PlotPanel: Increases the capacity of the plot, if necessary, to ensure that it can hold at least the number of plotting components specified by the argument.
ensureObjectCapacity(int) - Method in class jsc.swt.plot2d.PlotPanel: Increases the capacity of the plot, if necessary, to ensure that it can hold at least the number of plotting objects specified by the argument.
Enumerator - interface jsc.combinatorics.Enumerator.: Enumeration over combinatorial structures.
EOL - Static variable in class jsc.swt.datatable.DataFile: End of line token used in both DataTable and text files.
EQ - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator: symbol =.
equals(CodeList) - Method in class jsc.mathfunction.CodeList: Compares this code list to the specified code list.
EULER - Static variable in class jsc.util.Maths: Euler's constant.
eval() - Method in class jsc.mathfunction.AbstractMathFunction: This method evaluates f(x), the function parsed by method parse(), for values of the array of variables x.
eval(double) - Method in class jsc.util.Polynomial: Returns the value of the polynomial at x.
evalDerivative(double) - Method in class jsc.numerical.Spline: Returns the value and derivative of the spline at xx in the first two elements of an array.
evalDerivative(double) - Method in class jsc.util.Polynomial: Returns the value and derivative of the polynomial at x in the first two elements of an array.
evalDerivative(int) - Method in class jsc.mathfunction.StandardMathFunctionDerivatives: This method returns the derivative of f(x), the function previously parsed by method parse().
evalDerivatives(int, int) - Method in class jsc.mathfunction.StandardMathFunctionDerivatives: This method evaluates the function f(x) and the first n derivatives of f(x), where f(x) is the function previously parsed by method parse().
evalTaylorCoeffs(int, int) - Method in class jsc.mathfunction.StandardMathFunctionDerivatives: This method evaluates the first n Taylor series coefficients.
EXACT - Static variable in class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Indicates exact confidence interval.
exactCriticalValue(int, double) - Static method in class jsc.goodnessfit.KolmogorovCB: Calculate the exact critical value of the Kolmogorov-Smirnov statistic for completely specified continuous distributions.
exactSP() - Method in class jsc.independentsamples.MannWhitneyTest: Calculate the exact significance probability of the test statistic.
exactSP() - Method in class jsc.independentsamples.KruskalWallisTest: Exact significance probability of Kruskal-Wallis test statistic, H.
exactSP() - Method in class jsc.onesample.WilcoxonTest: Exact significance probability of Wilcoxon's signed-rank test.
exactSP(int[], double) - Static method in class jsc.independentsamples.JonckheereTest: Exact significance probability of Jonckheere's test statistic.
exactSP(int, int, double) - Static method in class jsc.relatedsamples.FriedmanTest: Exact significance probability of Friedman's test statistic.
exactSP(int, int, double, H1) - Static method in class jsc.independentsamples.SmirnovTest: Exact significance probability of Smirnov's statistics.
exactUpperTailProb(int, double) - Static method in class jsc.goodnessfit.KolmogorovTest: Exact upper tail probability of Kolmogorov-Smirnov statistic.
ExampleFileFilter - class jsc.swt.file.ExampleFileFilter.: A convenience implementation of FileFilter that filters out all files except for those type extensions that it knows about.
ExampleFileFilter() - Constructor for class jsc.swt.file.ExampleFileFilter: Creates a file filter.
ExampleFileFilter(String) - Constructor for class jsc.swt.file.ExampleFileFilter: Creates a file filter that accepts files with the given extension.
ExampleFileFilter(String[]) - Constructor for class jsc.swt.file.ExampleFileFilter: Creates a file filter from the given string array.
ExampleFileFilter(String[], String) - Constructor for class jsc.swt.file.ExampleFileFilter: Creates a file filter from the given string array and description.
ExampleFileFilter(String, String) - Constructor for class jsc.swt.file.ExampleFileFilter: Creates a file filter that accepts the given file type.
EXP - Static variable in class jsc.mathfunction.StatisticalMathFunction: Exponential function.
EXP - Static variable in class jsc.mathfunction.StandardMathFunction: Exponential function.
Exponential - class jsc.distributions.Exponential.: This class represents an exponential distribution.
Exponential() - Constructor for class jsc.distributions.Exponential: Create an exponential distribution with mean 1.
Exponential(double) - Constructor for class jsc.distributions.Exponential: Create an exponential distribution with specified mean.
ExponentialFit - class jsc.curvefitting.ExponentialFit.: This class calculates and stores an exponential curve of the form y = Aexp(-Bx) fitted to an array of data pairs (x,y) having weights w.
ExponentialFit(PairedData, double) - Constructor for class jsc.curvefitting.ExponentialFit: Creates the least squares estimate from equally weighted data points (x,y).
ExponentialFit(PairedData, double[], double) - Constructor for class jsc.curvefitting.ExponentialFit: Creates the least squares estimate from paired data and weights w.
ExtendedHypergeometric - class jsc.distributions.ExtendedHypergeometric.: This class represents an extended (or noncentral) hypergeometric distribution.
ExtendedHypergeometric(int, int, int, double) - Constructor for class jsc.distributions.ExtendedHypergeometric: Create an extended hypergeometric distribution.
ExtendedHypergeometric(int, int, int, double, double) - Constructor for class jsc.distributions.ExtendedHypergeometric: Create an extended hypergeometric distribution.
ExtendedMidpointNegExpRule - class jsc.numerical.ExtendedMidpointNegExpRule.: This class implements the extended midpoint rule for numerical integration algorithms.
ExtendedMidpointNegExpRule() - Constructor for class jsc.numerical.ExtendedMidpointNegExpRule
ExtendedMidpointPosExpRule - class jsc.numerical.ExtendedMidpointPosExpRule.: This class implements the extended midpoint rule for numerical integration algorithms.
ExtendedMidpointPosExpRule() - Constructor for class jsc.numerical.ExtendedMidpointPosExpRule
ExtendedMidpointRule - class jsc.numerical.ExtendedMidpointRule.: This class implements the extended midpoint rule for numerical integration algorithms.
ExtendedMidpointRule() - Constructor for class jsc.numerical.ExtendedMidpointRule
ExtendedTrapezoidalRule - class jsc.numerical.ExtendedTrapezoidalRule.: This class implements the extended trapezoidal rule for numerical integration algorithms.
ExtendedTrapezoidalRule() - Constructor for class jsc.numerical.ExtendedTrapezoidalRule
ExtremeValue - class jsc.distributions.ExtremeValue.: This class represents an extreme value (Gumbel) distribution.
ExtremeValue(double, double) - Constructor for class jsc.distributions.ExtremeValue: Create an extreme value distribution with specified location parameter (mode) and scale parameter.

F

F - Variable in class jsc.goodnessfit.KolmogorovTypeTest: The distribution of the null hypothesis.
factorial(long) - Static method in class jsc.util.Maths: Returns the factorial of integer n.
FAST_APPROX - Static variable in class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Indicates fast approximate confidence interval.
field - Variable in class jsc.swt.control.PosIntegerLabelledField: Deprecated. The field part of the control.
FieldDialogue - class jsc.swt.dialogue.FieldDialogue.: This class provides a general dialogue for entering/displaying values in fields.
FieldDialogue(Component, String, String) - Constructor for class jsc.swt.dialogue.FieldDialogue: Create the dialogue.
FieldDialogue(Component, String, String, int, int) - Constructor for class jsc.swt.dialogue.FieldDialogue: Create the dialogue.
FieldPanel - class jsc.swt.panel.FieldPanel.: This class implements a transparent panel consisting of columns of labelled fields.
FieldPanel() - Constructor for class jsc.swt.panel.FieldPanel: Creates the panel.
fileMenu - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's File menu.
fileWriteErrorMessage(File) - Method in class jsc.swt.mdi.MDIApplication: Display file write error massage.
fill(int, int) - Static method in class jsc.util.Arrays: Returns an integer array with all elements set to a constant value.
FILLED_CIRCLE - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker taking the form of a filled circle.
FILLED_DIAMOND - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker taking the form of a filled diamond.
FILLED_SQUARE - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker taking the form of a filled square.
FishersExactTest - class jsc.contingencytables.FishersExactTest.: Fisher's exact test for 2 × 2 tables.
FishersExactTest(ContingencyTable2x2) - Constructor for class jsc.contingencytables.FishersExactTest: Create significance test results.
FishersExactTest(ContingencyTable2x2, H1) - Constructor for class jsc.contingencytables.FishersExactTest: Create significance test results.
FishersF - class jsc.distributions.FishersF.: This class represents an F distribution.
FishersF(double, double) - Constructor for class jsc.distributions.FishersF: Create an F distribution.
FisherSymmetryTest - class jsc.onesample.FisherSymmetryTest.: Fisher's symmetry test.
FisherSymmetryTest(double[]) - Constructor for class jsc.onesample.FisherSymmetryTest: Create significance test results for an array of differences.
FisherSymmetryTest(double[], H1) - Constructor for class jsc.onesample.FisherSymmetryTest: Create significance test results for an array of differences.
FisherSymmetryTest(PairedData) - Constructor for class jsc.onesample.FisherSymmetryTest: Create significance test results.
FisherSymmetryTest(PairedData, H1) - Constructor for class jsc.onesample.FisherSymmetryTest: Create significance test results.
fmod(double, double) - Static method in class jsc.util.Maths: Returns the remainder of x/y with the same sign as x.
format(double) - Method in class jsc.swt.text.SigFigFormat
format(double) - Method in class jsc.swt.text.RealFormat: Formats a double to produce a string.
format(double) - Method in class jsc.swt.text.PatternFormat
format(double) - Method in class jsc.swt.text.MaxWidthFormat
format(int) - Method in class jsc.swt.text.IntegerFormat: Formats an integer to produce a string.
FREQUENCY - Static variable in class jsc.swt.plot2d.VerticalBarChart: Indicates bar chart of raw frequencies.
FREQUENCY - Static variable in class jsc.swt.plot2d.Histogram2D: Indicates histogram of raw frequencies.
FrequencyTable - class jsc.descriptive.FrequencyTable.: This class represents a table of frequencies with equal interval (bin) widths.
FrequencyTable(String, double, double, double) - Constructor for class jsc.descriptive.FrequencyTable: Creates an empty frequency table with given bin minimum, maximum and width.
FrequencyTable(String, double, double, double, double[]) - Constructor for class jsc.descriptive.FrequencyTable: Creates the frequency table with given bin minimum, maximum and width from an array of data.
FrequencyTable(String, double, double, int[]) - Constructor for class jsc.descriptive.FrequencyTable: Creates the frequency table with given bin minimum and maximum using frequencies supplied in array f.
FrequencyTable(String, int, double[]) - Constructor for class jsc.descriptive.FrequencyTable: Creates the frequency table with given number of bins from an array of data.
FrequencyTable(String, int, double[], boolean) - Constructor for class jsc.descriptive.FrequencyTable: Creates the frequency table with given number of bins from an array of data.
FriedmanM - class jsc.distributions.FriedmanM.: This class represents the exact null distribution of the Friedman M statistic.
FriedmanM(int, int) - Constructor for class jsc.distributions.FriedmanM: Create a Friedman's H distribution for given sample sizes.
FriedmanTest - class jsc.relatedsamples.FriedmanTest.: Friedman's test for related samples.
FriedmanTest(MatchedData) - Constructor for class jsc.relatedsamples.FriedmanTest: Create significance test results.
FriedmanTest(MatchedData, double, boolean) - Constructor for class jsc.relatedsamples.FriedmanTest: Create significance test results.
FSDC - Static variable in class jsc.swt.datatable.DataFile: Delimiter character for strings in DataTable files.
FSDS - Static variable in class jsc.swt.datatable.DataTable: A string containing a single character, FSDC, the delimiter character for strings in DataTable files.
FSDS - Static variable in class jsc.swt.datatable.DataFile: A string containing a single character, FSDC, the delimiter character for strings in DataTable files.
Function - interface jsc.numerical.Function.: This defines an interface for mathematical functions, y = f(x).
function(double) - Method in class jsc.curvefitting.PolynomialFunctionVector: Returns an array with values x to the power k, where k is the index of the element of the array.
function(double) - Method in interface jsc.curvefitting.FunctionVector: Returns an array of function values evaluated at x.
function(double) - Method in interface jsc.numerical.Function: Returns y = f(x)
function(double) - Method in class jsc.swt.plot2d.SplinePlot2D: Return the value of the spline curve at given x.
FunctionPlot2D - class jsc.swt.plot2d.FunctionPlot2D.: This class represents a plot of functions.
FunctionPlot2D(AxisModel, AxisModel, double, double, String) - Constructor for class jsc.swt.plot2d.FunctionPlot2D: Creates the plot with given title and AxisModel objects.
FunctionPlot2D(AxisModel, AxisModel, String) - Constructor for class jsc.swt.plot2d.FunctionPlot2D: Creates the plot with given title and AxisModel objects.
FunctionVector - interface jsc.curvefitting.FunctionVector.: This defines an interface for an array of mathematical functions.

G

Gamma - class jsc.distributions.Gamma.: This class represents a gamma distribution.
GAMMA - Static variable in class jsc.mathfunction.StatisticalMathFunction: Gamma function.
Gamma(double, double) - Constructor for class jsc.distributions.Gamma: Create the gamma distribution with specified shape and scale parameters.
gammaApproxSP(int[], double) - Static method in class jsc.independentsamples.KruskalWallisTest: Gamma approximation to significance probability of the Kruskal-Wallis test statistic.
GE - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator: symbol >=.
GeneralLinearLeastSquares - class jsc.curvefitting.GeneralLinearLeastSquares.: This class calculates and stores the least squares estimates of a general linear model fitted to an array of data pairs (x,y) having weights w.
GeneralLinearLeastSquares(PairedData, double[], int, FunctionVector) - Constructor for class jsc.curvefitting.GeneralLinearLeastSquares: Creates the least squares estimates from paired data (x,y) and weights w.
GeneralLinearLeastSquares(PairedData, int, FunctionVector) - Constructor for class jsc.curvefitting.GeneralLinearLeastSquares: Creates the least squares estimates from equally weighted data points (x,y).
Geometric - class jsc.distributions.Geometric.: This class represents a geometric distribution.
Geometric(double) - Constructor for class jsc.distributions.Geometric: Create a geometric distribution with probability of success p.
Geometric1 - class jsc.distributions.Geometric1.: This class represents a variant of the geometric distribution.
Geometric1(double) - Constructor for class jsc.distributions.Geometric1: Create a geometric distribution with probability of success p.
getA() - Method in interface jsc.curvefitting.StraightLineFit: Returns estimate of intercept term, A.
getA() - Method in class jsc.curvefitting.LpNormFit: Returns least squares estimate of A.
getA() - Method in class jsc.curvefitting.LineFitThruOrigin
getA() - Method in class jsc.curvefitting.LineFit: Returns least squares estimate of A.
getA() - Method in class jsc.curvefitting.GeneralLinearLeastSquares: Returns the least squares estimates of coefficients.
getA() - Method in class jsc.curvefitting.ExponentialFit: Returns least squares estimate of A.
getA() - Method in class jsc.distributions.Uniform: Returns the parameter "a" of the distribution.
getA() - Method in class jsc.distributions.DiscreteUniform: Returns the parameter "a" of the distribution.
getA() - Method in class jsc.regression.PearsonCorrelation: Returns least squares estimate of the intercept term, A.
getAchievedConfidence() - Method in class jsc.ci.DistributionFreeCI: Return the achieved confidence.
getAchievedConfidence() - Method in class jsc.onesample.SignMedianCI: Return the achieved confidence.
getActiveWindow() - Method in class jsc.swt.mdi.MDIApplication: Returns the active window, or returns null if no window is active.
getAlpha() - Method in class jsc.ci.AbstractConfidenceInterval: Returns the significance level corresponding to the confidence coefficient.
getAlpha() - Method in class jsc.distributions.LogarithmicSeries: Returns the parameter of the distribution.
getAnchorPoint() - Method in class jsc.swt.plot2d.PlotText: Returns the anchor point of the text.
getAngle() - Method in class jsc.swt.plot2d.PlotText: Return the angle of the text.
getApproxSP() - Method in class jsc.contingencytables.FishersExactTest: Returns the approximate two-tailed significance probability.
getAxisColour() - Method in class jsc.swt.plot2d.Axis: Returns the colour of the axis.
getAxisLabel() - Method in class jsc.swt.plot2d.Axis: Returns the axis label.
getAxisLabelColour() - Method in class jsc.swt.plot2d.Axis: Returns the colour of the axis label.
getAxisLabelFont() - Method in class jsc.swt.plot2d.Axis: Returns the font of the axis label.
getAxisLine() - Method in class jsc.swt.plot2d.Axis: Returns the axis line.
getAxisStroke() - Method in class jsc.swt.plot2d.Axis: Returns the stroke style of the axis.
getB() - Method in interface jsc.curvefitting.StraightLineFit: Returns estimate of slope term, B.
getB() - Method in class jsc.curvefitting.LpNormFit: Returns least squares estimate of B.
getB() - Method in class jsc.curvefitting.LineFitThruOrigin: Returns least squares estimate of B.
getB() - Method in class jsc.curvefitting.LineFit: Returns least squares estimate of B.
getB() - Method in class jsc.curvefitting.ExponentialFit: Returns least squares estimate of B.
getB() - Method in class jsc.distributions.Uniform: Returns parameter b of the distribution.
getB() - Method in class jsc.distributions.DiscreteUniform: Returns parameter b of the distribution.
getB() - Method in class jsc.regression.PearsonCorrelation: Returns least squares estimate of the slope term, B.
getBinValue(int) - Method in class jsc.descriptive.Tally: Returns the value corresponding to the ith bin.
getBinWidth() - Method in class jsc.descriptive.FrequencyTable
getBlockCount() - Method in class jsc.datastructures.MatchedData: Return number of blocks.
getBlockCount() - Method in class jsc.relatedsamples.TwoWayANOVA: Return number of blocks.
getBlockData(int) - Method in class jsc.datastructures.MatchedData: Return data for the block with the specified index.
getBlockData(String) - Method in class jsc.datastructures.MatchedData: Return data for the block with the specified label.
getBlockEms() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the explained mean square associated with differences between blocks.
getBlockEss() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the block explained sum of squares.
getBlockLabel(int) - Method in class jsc.datastructures.MatchedData: Return label for the block with the specified index.
getBlockLabels() - Method in class jsc.datastructures.MatchedData: Return sorted, distinct labels of blocks.
getBlockMean(int) - Method in class jsc.datastructures.MatchedData: Calculate mean of data for the block with the specified index.
getBlockPackedCopy() - Method in class jsc.datastructures.MatchedData: Make a one-dimensional block packed copy of the internal array.
getBoolProperty(String) - Method in class jsc.swt.util.PropertiesFile: Returns the boolean value of the named key.
getBoolProperty(String, boolean) - Method in class jsc.swt.util.PropertiesFile: Returns the boolean value of the named key.
getBoolValue(String, String) - Method in class jsc.swt.util.IniFiles: Returns the boolean value of the named key in the named section.
getBoundary(int) - Method in class jsc.descriptive.IrregularFrequencyTable: Returns the value of the ith boundary.
getBoundary(int) - Method in class jsc.descriptive.FrequencyTable: Returns the value of the ith boundary between bins.
getBoundary(int) - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the value of the ith boundary between bins.
getBoundary(Point2D.Float) - Method in class jsc.swt.plot2d.Marker: Returns the boundary of the marker in device (pixel) coordinates, centered at the given device point p.
getBounds() - Method in class jsc.swt.virtualgraphics.Path
getBounds2D() - Method in class jsc.swt.virtualgraphics.Path
getBufferedImage() - Method in class jsc.swt.plot2d.PlotPanel: Creates an off-screen drawable image.
getC() - Method in class jsc.relatedsamples.FriedmanTest: Returns the correction factor for ties, see Neave (1981,p.272).
getCategoricalData(String) - Method in class jsc.swt.datatable.DataWindow: Get all non-null data in the named column and return them in a String array.
getCategoricalData(String) - Method in class jsc.swt.datatable.DataTable: Get all non-null data in the named column and return them in a String array.
getChiSquared() - Method in class jsc.contingencytables.FishersExactTest: Returns the chi-squared value corrected for continuity.
getCIA(double) - Method in class jsc.curvefitting.LineFit: Returns confidence interval of estimate of intercept term, A.
getCIB(double) - Method in class jsc.curvefitting.LineFitThruOrigin: Returns confidence interval of estimate of slope, B.
getCIB(double) - Method in class jsc.curvefitting.LineFit: Returns confidence interval of estimate of slope, B.
getCode(int) - Method in class jsc.mathfunction.StatisticalMathFunction: Return jth token code
getCode(int) - Method in class jsc.mathfunction.StandardMathFunction: Return jth token code
getCode(int) - Method in class jsc.mathfunction.CodeList: Returns code identifying constant, variable or operator in jth line of the code list.
getCode(int) - Method in class jsc.mathfunction.AbstractMathFunction: Returns code for token with give index.
getCoefficient(int) - Method in class jsc.util.Polynomial: Returns the ith coefficient of the polynomial.
getColour() - Method in class jsc.swt.plot2d.PlotText: Returns the colour of the text.
getColour() - Method in class jsc.swt.plot2d.PlotShape: Returns this object's colour for drawing and solid filling.
getColour() - Method in class jsc.swt.plot2d.Marker: Returns the colour of the marker.
getColumnClass(int) - Method in class jsc.swt.datatable.RecodeModel
getColumnClass(int) - Method in class jsc.swt.datatable.DataModel: Return class of column c.
getColumnClass(int) - Method in class jsc.swt.datatable.DataMatrix: Return class of column c.
getColumnClass(String) - Method in class jsc.swt.datatable.DataTable: Return class of column having specified name.
getColumnCount() - Method in class jsc.contingencytables.ContingencyTable: Return number of columns in table.
getColumnCount() - Method in class jsc.contingencytables.ChiSquaredTest: Return number of columns.
getColumnCount() - Method in class jsc.swt.datatable.RecodeModel
getColumnCount() - Method in class jsc.swt.datatable.DataWindow: Returns the number of columns in the data table.
getColumnCount() - Method in class jsc.swt.datatable.DataModel: Return number of columns.
getColumnCount() - Method in class jsc.swt.datatable.DataMatrix: Return number of columns.
getColumnData(int) - Method in class jsc.contingencytables.ContingencyTable: Return data for the column with the specified index.
getColumnData(int) - Method in class jsc.swt.datatable.DataMatrix: Return data of column c as a vector.
getColumnData(String) - Method in class jsc.contingencytables.ContingencyTable: Return data for the column with the specified label.
getColumnIndex(String) - Method in class jsc.swt.datatable.DataTable: Return index of column having specified name.
getColumnLabel(int) - Method in class jsc.contingencytables.ContingencyTable: Return label for the column with the specified index.
getColumnLabels() - Method in class jsc.contingencytables.ContingencyTable: Return sorted, distinct labels of columns.
getColumnName(int) - Method in class jsc.swt.datatable.RecodeModel
getColumnName(int) - Method in class jsc.swt.datatable.DataModel: Return name of column c.
getColumnName(int) - Method in class jsc.swt.datatable.DataMatrix: Return name of column c.
getColumnNames(boolean, boolean, boolean, int) - Method in class jsc.swt.datatable.DataWindow: Return the names of all columns that are continuous, integer or categorical (if arguments are true) and have at least n values that are not null.
getColumnNames(boolean, boolean, boolean, int) - Method in class jsc.swt.datatable.DataTable: Return the names of all columns that are continuous, integer or categorical (if arguments are true) and have at least n values that are not null.
getColumnNames(boolean, boolean, boolean, int) - Method in class jsc.swt.datatable.DataModel: Return the names of all columns that are continuous, integer or categorical (if arguments are true) and have at least n values that are not null.
getColumnNames(boolean, boolean, boolean, int) - Method in class jsc.swt.datatable.DataMatrix: Return the names of all columns that are continuous, integer or categorical (if arguments are true) and have at least n values that are not null.
getColumnTotals() - Method in class jsc.contingencytables.ContingencyTable: Return column marginal totals.
getColumnTotals() - Method in class jsc.contingencytables.ChiSquaredTest: Return column marginal totals.
getColumnValueCount(int) - Method in class jsc.swt.datatable.DataMatrix: Return number of values in column c that are not null.
getComponentBounds() - Method in class jsc.swt.plot2d.PlotPanel: Returns all the virtual bounds of the plot components in a Vector.
getComponentBounds(int) - Method in class jsc.swt.plot2d.PlotPanel: Returns the virtual bounds of the plot component having the specified index.
getConfidenceCoeff() - Method in interface jsc.ci.ConfidenceInterval: Returns the confidence coefficient.
getConfidenceCoeff() - Method in interface jsc.ci.ConfidenceBand: Returns the confidence coefficient.
getConfidenceCoeff() - Method in class jsc.ci.AbstractConfidenceInterval: Returns the confidence coefficient.
getConfidenceCoeff() - Method in class jsc.correlation.LinearCorrelation: Returns the confidence coefficient.
getConfidenceCoeff() - Method in class jsc.goodnessfit.KolmogorovCB
getConfidenceCoeff() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the confidence coefficient.
getConfidenceLevel() - Method in class jsc.ci.AbstractConfidenceInterval: Returns the level of confidence as a percentage.
getConstant(int) - Method in class jsc.mathfunction.StatisticalMathFunction: Return constant value
getConstant(int) - Method in class jsc.mathfunction.StandardMathFunction: Return constant value
getConstant(int) - Method in class jsc.mathfunction.AbstractMathFunction: Return value of a symbolic constant having given code.
getContingencyTable() - Method in class jsc.contingencytables.ChiSquaredTest: Returns the original contingency table used for the test.
getCopyMode() - Method in class jsc.swt.datatable.DataClipboard: Returns the copy mode of the clipboard.
getCorrectionFactor() - Method in class jsc.independentsamples.MannWhitneyTest: Return correction factor for ties.
getCorrectionFactor1() - Method in class jsc.util.Rank: Return correction factor for ties for use with distribution-free statistics: applicable to Mann-Whitney, Kruskal-Wallis and Friedman tests; Spearman's correlation and Kendall's concordance statistics.
getCorrectionFactor2() - Method in class jsc.util.Rank: Return correction factor for ties for use with distribution-free statistics: applicable to Kendall's correlation coefficient.
getCovariance() - Method in class jsc.curvefitting.GeneralLinearLeastSquares: Returns the covariance matrix for the least squares estimates.
getCriticalValue() - Method in class jsc.goodnessfit.KolmogorovCB: Return the critical value of the Kolmogorov-Smirnov D-statistic used to calculate the confidence band.
getCumulativeFrequency(int) - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the ith cumulative frequency.
getCumulativeFrequency(int) - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the ith cumulative frequency.
getCumulativePercentage(int) - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the ith cumulative percentage.
getCumulativeProportion(int) - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the ith cumulative proportion.
getCumulativeProportion(int) - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the ith cumulative proportion.
getCV() - Method in class jsc.independentsamples.PitmanTwoSampleTest: Returns the attained CV for the estimated significance probability.
getCV() - Method in class jsc.onesample.FisherSymmetryTest: Returns the attained CV for the estimated significance probability.
getD() - Method in class jsc.ci.DistributionFreeCI: Return the d-value.
getD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns Kolmogorov D-statistic: the maximum absolute deviation, |S(x)-F(x)|.
getD() - Method in class jsc.onesample.SignMedianCI: Return the d-value.
getData() - Method in class jsc.datastructures.MatchedData: Return data as a matrix.
getData() - Method in class jsc.datastructures.GroupedData: Return data for all the groups combined into a single array.
getData(int) - Method in class jsc.datastructures.GroupedData: Return data for the group with the specified index.
getData(String) - Method in class jsc.datastructures.GroupedData: Return data for the group with the specified label.
getDataAsStringBuffer(boolean, boolean, String) - Method in class jsc.swt.datatable.Table: Return contents of selected cells as a string buffer.
getDataAsStringBuffer(boolean, String) - Method in class jsc.swt.datatable.DataWindow: Return contents of all cells as a string buffer.
getDataMatrix() - Method in class jsc.swt.datatable.DataWindow: Returns the data matrix displayed in the window.
getDataModel() - Method in class jsc.swt.datatable.DataWindow: Returns the implementation of the TableModel interface that provides the data of the table displayed in the window.
getDataTable() - Method in class jsc.swt.datatable.DataWindow: Returns the data table displayed in the window.
getDatum(int, int) - Method in class jsc.datastructures.MatchedData: Return a data value having the specified block and treatment indexes.
getDecimalSeparator() - Method in class jsc.swt.text.RealFormat: Returns the character used for the decimal separator.
getDefaultColumnClass() - Method in class jsc.swt.datatable.DataTable: Returns default class of columns.
getDefaultColumnClass() - Method in class jsc.swt.datatable.DataModel: Returns default class of columns.
getDefaultColumnClass() - Method in class jsc.swt.datatable.DataMatrix: Returns default class of columns.
getDefaultNamePrefix() - Method in class jsc.swt.datatable.DataTable: Returns default column name prefix.
getDefaultNamePrefix() - Method in class jsc.swt.datatable.DataModel: Returns default column name prefix.
getDefaultNamePrefix() - Method in class jsc.swt.datatable.DataMatrix: Returns default column name prefix.
getDegree() - Method in class jsc.util.Polynomial: Returns degree of the polynomial.
getDegreesOfFreedom() - Method in class jsc.contingencytables.ChiSquaredTest: Returns the degrees of freedom.
getDegreesOfFreedom() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the degrees of freedom.
getDelay() - Method in class jsc.swt.control.SpeedSlider: Return the delay corresponding to the position of the slider.
getDelta() - Method in class jsc.distributions.NoncentralStudentsT: Returns the noncentrality parameter of the distribution.
getDelta() - Method in class jsc.distributions.NoncentralChiSquared: Returns the noncentrality parameter of the distribution.
getDescription() - Method in class jsc.swt.file.ExampleFileFilter: Returns the human readable description of this filter.
getDf() - Method in class jsc.distributions.StudentsT: Returns the "degrees of freedom" parameter of the distribution.
getDf() - Method in class jsc.distributions.NoncentralStudentsT: Returns the "degrees of freedom" parameter of the distribution.
getDf() - Method in class jsc.distributions.NoncentralChiSquared: Returns the degrees of freedom parameter of the distribution.
getDf() - Method in class jsc.distributions.ChiSquared: Returns the degrees of freedom parameter of the distribution.
getDf() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the degrees of freedom of the t-distribution.
getDf1() - Method in class jsc.distributions.NoncentralFishersF: Returns the degrees of freedom in the numerator of the F ratio.
getDf1() - Method in class jsc.distributions.FishersF: Returns the degrees of freedom in the numerator of the F ratio.
getDf2() - Method in class jsc.distributions.NoncentralFishersF: Returns the degrees of freedom in the denominator of the F ratio.
getDf2() - Method in class jsc.distributions.FishersF: Returns the degrees of freedom in the denominator of the F ratio.
getDoubleProperty(String) - Method in class jsc.swt.util.PropertiesFile: Returns the double value of the named key.
getDoubleProperty(String, double) - Method in class jsc.swt.util.PropertiesFile: Returns the double value of the named key.
getEffectiveMaxX() - Method in class jsc.distributions.ExtendedHypergeometric: Returns the effective maximum variate-value of the distribution.
getEffectiveMinX() - Method in class jsc.distributions.ExtendedHypergeometric: Returns the effective minimum variate-value of the distribution.
getEms() - Method in class jsc.independentsamples.OneWayANOVA: Returns the explained mean square associated with differences between samples (treatments).
getEnumerator() - Method in class jsc.independentsamples.TwoSampleTtest: Returns a MultiSetPermutations enumerator for generating all possible permutations of the two-sample data.
getEnumerator() - Method in class jsc.independentsamples.SmirnovTest: Returns a MultiSetPermutations enumerator for generating all possible permutations of the two-sample data.
getEnumerator() - Method in class jsc.independentsamples.MannWhitneyTest: Returns a MultiSetPermutations enumerator for generating all possible permutations of the two-sample data.
getEnumerator() - Method in class jsc.onesample.PairedTtest: Returns a GrayCode enumerator for generating all possible swappings of the paired observations.
getEnumerator() - Method in interface jsc.statistics.PermutableStatistic: Return the combinatorial enumerator.
getEss() - Method in class jsc.independentsamples.OneWayANOVA: Returns the explained sum of squares.
getEvalCount() - Method in class jsc.mathfunction.AbstractMathFunction: Returns the number of evaluations of current expression since it was parsed or since resetEvalCount() was last called.
getExpectedFrequencies() - Method in class jsc.contingencytables.ChiSquaredTest: Return the matrix of expected frequencies.
getExpectedFrequencies() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Return the array of expected frequencies.
getExpectedFrequency(int) - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the expected frequency of the ith bin.
getExpectedFrequency(int, int) - Method in class jsc.contingencytables.ChiSquaredTest: Returns the expected frequency having the specified row and column indexes.
getExtension(File) - Method in class jsc.swt.file.ExampleFileFilter: Return the extension portion of the file's name .
getF() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns the distribution of the null hypothesis, F(x).
getFile() - Method in class jsc.swt.file.AppFileActions: Returns the current file, or null.
getFile() - Method in class jsc.swt.mdi.MDIWindow: Returns the handle to the file currently associated with the window, or null if no is file associated with the window.
getFirstTickValue() - Method in class jsc.swt.plot.PiAxisModel
getFirstTickValue() - Method in class jsc.swt.plot.LinearAxisModel
getFirstTickValue() - Method in interface jsc.swt.plot.AxisModel: Returns the value of the first tick mark.
getFirstTickValue() - Method in class jsc.util.Scale: Returns the value of the first tick mark.
getFocusColor() - Method in class jsc.swt.plot.BeadSliderUI: Returns colour of slider's focus rectangle.
getFont() - Method in class jsc.swt.plot2d.PlotText: Returns the font of the text.
getFont() - Method in class jsc.swt.text.StatisticalDocument
getFontFamily() - Method in class jsc.swt.text.StatisticalDocument
getFontSize() - Method in class jsc.swt.text.StatisticalDocument
getFrequencies() - Method in class jsc.contingencytables.ContingencyTable: Return frequency matrix.
getFrequencies() - Method in class jsc.descriptive.Tally: Returns the array of frequencies.
getFrequencies() - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the array of frequencies.
getFrequencies() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the array of frequencies.
getFrequency(int) - Method in class jsc.descriptive.Tally: Returns the ith frequency.
getFrequency(int) - Method in class jsc.descriptive.DoubleTally: Returns the ith frequency.
getFrequency(int) - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the ith frequency.
getFrequency(int) - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the ith frequency.
getFrequency(int, int) - Method in class jsc.contingencytables.ContingencyTable: Return a data value having the specified row and column indexes.
getGap() - Method in class jsc.swt.plot2d.PlotText: Return the distance of the text from the anchor point.
getGroupCount() - Method in class jsc.datastructures.GroupedData: Return number of groups.
getGroupingSeparator() - Method in class jsc.swt.text.RealFormat: Returns the character used for the thousands separator.
getHeight() - Method in class jsc.swt.virtualgraphics.VDimension: Returns the height of the dimension.
getHorizontalAxis() - Method in class jsc.swt.plot2d.AxesPlot: Returns the X-axis of the plot.
getImplicitCode() - Method in class jsc.mathfunction.StatisticalMathFunction: Return code of implicit binary operator.
getImplicitCode() - Method in class jsc.mathfunction.StandardMathFunction: Return code of implicit binary operator.
getImplicitCode() - Method in class jsc.mathfunction.AbstractMathFunction: Return code of implicit binary operator.
getIndex() - Method in class jsc.swt.plot.BeadSlider: Returns the identification index of this object.
getIndices() - Method in class jsc.swt.dialogue.NameDialogue: Returns an array of all of the selected indices in the list of names.
getIndices1() - Method in class jsc.swt.dialogue.NamePairDialogue: Returns an array of all of the selected indices in the first list of names.
getIndices2() - Method in class jsc.swt.dialogue.NamePairDialogue: Returns an array of all of the selected indices in the second list of names.
getIntegerFormat() - Static method in class jsc.swt.datatable.DataFile: Returns the format for integers in data files.
getIntegerValue() - Method in class jsc.swt.control.IntegerLogSlider: Returns the value corresponding to the current position of the slider's pointer.
getIntegerValue() - Method in class jsc.swt.control.DisplayField: Attempts to parse the field's text as an integer and return its value.
getIntegral(Function, double, double, int) - Method in interface jsc.numerical.IntegratingFunction: Returns the nth stage of refinement of the integral of function f from a to b.
getIntegral(Function, double, double, int) - Method in class jsc.numerical.ExtendedTrapezoidalRule
getIntegral(Function, double, double, int) - Method in class jsc.numerical.ExtendedMidpointRule
getIntegral(Function, double, double, int) - Method in class jsc.numerical.ExtendedMidpointPosExpRule: Returns the nth stage of refinement of the integral of function f from a to b.
getIntegral(Function, double, double, int) - Method in class jsc.numerical.ExtendedMidpointNegExpRule: Returns the nth stage of refinement of the integral of function f from a to b.
getInterquartileRange() - Method in class jsc.descriptive.OrderStatistics
getIntervals(double, int, double, double) - Method in class jsc.curvefitting.LineFitThruOrigin: Calculates confidence intervals for the mean, Bx, and prediction intervals for the response, Y.
getIntervals(double, int, double, double) - Method in class jsc.curvefitting.LineFit: Calculates confidence intervals for the mean, A + Bx, and prediction intervals for the response, Y.
getIntProperty(String) - Method in class jsc.swt.util.PropertiesFile: Returns the integer value of the named key.
getIntProperty(String, int) - Method in class jsc.swt.util.PropertiesFile: Returns the integer value of the named key.
getIntValue(String, String) - Method in class jsc.swt.util.IniFiles: Returns the integer value of the named key in the named section.
getK() - Method in class jsc.independentsamples.KruskalWallisTest: Returns the number of samples.
getLabel() - Method in class jsc.swt.plot.PiAxisModel
getLabel() - Method in class jsc.swt.plot.LinearAxisModel
getLabel() - Method in interface jsc.swt.plot.AxisModel: Returns the axis label.
getLabel(int) - Method in class jsc.datastructures.GroupedData: Return label for the group with the specified index.
getLabel(int) - Method in class jsc.descriptive.CategoricalTally: Returns the ith label.
getLabelCode(int) - Static method in class jsc.mathfunction.CodeList: Returns the code for the label function in the jth line of the code list.
getLabelCount() - Method in class jsc.swt.plot2d.LabelledXaxisPlot: Returns the number of labels on the X axis.
getLabelLine(int) - Method in class jsc.mathfunction.CodeList: Given label code c, returns the line number of the label function in the code list.
getLabels() - Method in class jsc.datastructures.GroupedData: Return sorted, distinct labels of groups.
getLabels() - Method in class jsc.descriptive.CategoricalTally: Returns all the labels as an array of strings.
getLabels(String[]) - Static method in class jsc.util.Sort: Sort an array of strings into ascending order and return the distinct strings as a vector.
getLambda() - Method in class jsc.distributions.NoncentralFishersF: Returns the noncentrality parameter of the distribution.
getLambda() - Method in class jsc.distributions.NoncentralBeta: Returns the noncentrality parameter of the distribution.
getLastTickValue() - Method in class jsc.swt.plot.PiAxisModel
getLastTickValue() - Method in class jsc.swt.plot.LinearAxisModel
getLastTickValue() - Method in interface jsc.swt.plot.AxisModel: Returns the value of the last tick mark.
getLastTickValue() - Method in class jsc.util.Scale: Returns the value of the last tick mark.
getLeft(int) - Method in class jsc.mathfunction.CodeList: Returns code identifying left argument in jth line of the code list.
getLeftCode(int) - Method in class jsc.mathfunction.CodeList: Returns the code of the left argument of the jth entry of the code list.
getLeftType(int) - Method in class jsc.mathfunction.CodeList: Returns the type of the left argument of the jth entry of the code list.
getLeftValue(int) - Method in class jsc.mathfunction.CodeList: Returns the value of the left argument of the jth entry of the code list, assuming that the preceeding entries have been evaluated up to line j-1.
getLegalCharacters() - Method in class jsc.mathfunction.AbstractMathFunction: Returns a string containing all the legal (lower case) characters allowed in an expression.
getLength() - Method in class jsc.swt.plot.PiAxisModel
getLength() - Method in class jsc.swt.plot.LinearAxisModel
getLength() - Method in interface jsc.swt.plot.AxisModel: Returns the length of the axis.
getLength() - Method in class jsc.util.Scale: Returns the length of the scale.
getLocation() - Method in class jsc.distributions.Pareto: Returns the location parameter of the distribution.
getLocation() - Method in class jsc.distributions.Lognormal: Returns the location parameter of the distribution.
getLocation() - Method in class jsc.distributions.ExtremeValue: Returns the location parameter (mode) of the distribution.
getLocation() - Method in class jsc.distributions.Cauchy: Returns the location parameter (median) of the distribution.
getLocation() - Method in class jsc.swt.plot2d.Marker: Returns the location of the center of the marker.
getLongProperty(String) - Method in class jsc.swt.util.PropertiesFile: Returns the long value of the named key.
getLongProperty(String, long) - Method in class jsc.swt.util.PropertiesFile: Returns the long value of the named key.
getLongValue(String, String) - Method in class jsc.swt.util.IniFiles: Returns the long value of the named key in the named section.
getLowerLimit() - Method in interface jsc.ci.ConfidenceInterval: Returns the value of the lower confidence limit.
getLowerLimit() - Method in class jsc.ci.AbstractConfidenceInterval: Returns the value of the lower confidence limit.
getLowerLimit() - Method in class jsc.correlation.LinearCorrelation: Returns the value of the lower confidence limit.
getLowerLimit() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the value of the lower confidence limit.
getLowerLimit(int) - Method in interface jsc.ci.ConfidenceBand: Returns the value of the lower confidence limit function at the ith x-value.
getLowerLimit(int) - Method in class jsc.goodnessfit.KolmogorovCB
getLowerQuartile() - Method in class jsc.descriptive.OrderStatistics
getM() - Method in class jsc.curvefitting.GeneralLinearLeastSquares: Returns number of linear coefficients.
getMarkedItemsCount() - Method in class jsc.distributions.Hypergeometric: Returns number of marked items parameter.
getMatchString() - Method in class jsc.swt.text.StatisticalDocument: Extract a string that contains a representation of the document text including any super or subscript formatting.
getMatchString(boolean) - Method in class jsc.swt.text.StatisticalDocument
getMax() - Method in class jsc.descriptive.Tally
getMax() - Method in class jsc.descriptive.DoubleTally: Return the maximum value in the tally.
getMax() - Method in class jsc.swt.plot.PiAxisModel
getMax() - Method in class jsc.swt.plot.LinearAxisModel
getMax() - Method in interface jsc.swt.plot.AxisModel: Returns the end value of the axis.
getMax() - Method in class jsc.swt.plot2d.Axis: Returns the end value of the axis.
getMax() - Method in class jsc.util.Scale: Returns the end value of the scale.
getMaxFreq() - Method in class jsc.descriptive.Tally
getMaxFreq() - Method in class jsc.descriptive.DoubleTally: Return the maximum frequency in the table.
getMaximum() - Method in class jsc.descriptive.OrderStatistics
getMaximumFreq() - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the maximum frequency in the table.
getMaximumFreq() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the maximum frequency in the table.
getMaximumNormalizedFreq() - Method in class jsc.descriptive.FrequencyTable: Returns the maximum normalized frequency in the table.
getMaximumPdf() - Method in class jsc.distributions.StudentsT: Returns the maximum value of the pdf of the distribution.
getMaximumPdf() - Method in class jsc.distributions.Normal: Returns the maximum value of the pdf of the distribution.
getMaximumPdf() - Method in class jsc.distributions.ExtendedHypergeometric: Returns the maximum value of the probability mass function of the distribution.
getMaximumPdf() - Method in class jsc.distributions.Exponential: Returns the maximum value of the pdf of the distribution.
getMaximumPdf() - Method in class jsc.distributions.AbstractDiscreteDistribution: Finds the maximum value of the probability mass function of the distribution.
getMaximumProportion() - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the maximum proportion in the table.
getMaximumProportion() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the maximum proportion in the table.
getMaximumValue() - Method in class jsc.swt.control.RealSlider: Returns the maximum real value on the slider's scale.
getMaxSize() - Method in class jsc.datastructures.GroupedData: Return largest number of data values in a group.
getMaxValue() - Method in class jsc.datastructures.GroupedData: Return largest data value in all groups.
getMaxValue() - Method in class jsc.distributions.Discrete: Returns maximum variate-value of the distribution.
getMaxValue() - Method in class jsc.distributions.AbstractDiscreteDistribution: Returns maximum variate-value of the distribution.
getMaxX() - Method in class jsc.distributions.AbstractContinuousDistribution: Returns maximum variate-value of the distribution.
getMaxX() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the largest observation.
getMaxX() - Method in class jsc.numerical.Spline: Returns the largest tabulated x-point, x(N), used to create the spline.
getMean() - Method in class jsc.descriptive.MeanVar
getMean() - Method in class jsc.onesample.Ztest: Returns sample mean.
getMean() - Method in class jsc.onesample.Ttest: Returns sample mean.
getMean() - Method in class jsc.onesample.NormalMeanCI: Returns sample mean of the data.
getMean() - Method in class jsc.onesample.LargeSampleMeanCI: Returns sample mean of the data.
getMean(int) - Method in class jsc.independentsamples.OneWayANOVA: Returns the mean of the ith sample.
getMeanA() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the mean of the 1st sample.
getMeanB() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the mean of the 2nd sample.
getMeanDiff() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the difference between the means of the two samples.
getMeanRank(int) - Method in class jsc.independentsamples.KruskalWallisTest: Return the mean of the ranks of a sample.
getMeanX() - Method in class jsc.curvefitting.LineFitThruOrigin: Returns mean of x.
getMeanX() - Method in class jsc.curvefitting.LineFit: Returns mean of x.
getMeanY() - Method in class jsc.curvefitting.LineFitThruOrigin: Returns mean of y.
getMeanY() - Method in class jsc.curvefitting.LineFit: Returns mean of y.
getMedian() - Method in class jsc.descriptive.OrderStatistics
getMedian() - Method in class jsc.onesample.SignMedianCI: Return the median.
getMin() - Method in class jsc.descriptive.Tally
getMin() - Method in class jsc.descriptive.DoubleTally: Return the minimum value in the tally.
getMin() - Method in class jsc.swt.plot.PiAxisModel
getMin() - Method in class jsc.swt.plot.LinearAxisModel
getMin() - Method in interface jsc.swt.plot.AxisModel: Returns the start value of the axis.
getMin() - Method in class jsc.swt.plot2d.Axis: Returns the start value of the axis.
getMin() - Method in class jsc.util.Scale: Returns the start value of the scale.
getMinimum() - Method in class jsc.descriptive.OrderStatistics
getMinimumValue() - Method in class jsc.swt.control.RealSlider: Returns the minimum real value on the slider's scale.
getMinSize() - Method in class jsc.datastructures.GroupedData: Return smallest number of data values in a group.
getMinValue() - Method in class jsc.datastructures.GroupedData: Return smallest data value in all groups.
getMinValue() - Method in class jsc.distributions.Discrete: Returns the minimum variate-value of the distribution.
getMinValue() - Method in class jsc.distributions.AbstractDiscreteDistribution: Returns the minimum variate-value of the distribution.
getMinX() - Method in class jsc.distributions.AbstractContinuousDistribution: Returns the minimum variate-value of the distribution.
getMinX() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the smallest observation.
getMinX() - Method in class jsc.numerical.Spline: Returns the smallest tabulated x-point, x(1), used to create the spline.
getModel() - Method in class jsc.swt.plot2d.Axis: Returns the axis model.
getN() - Method in interface jsc.ci.ConfidenceBand: Returns n, the number of indexed values that define the band.
getN() - Method in class jsc.combinatorics.Permutations: Returns the number of objects.
getN() - Method in class jsc.combinatorics.MultiSetPermutations: Returns the total number of objects.
getN() - Method in class jsc.combinatorics.GrayCode: Returns the number of objects.
getN() - Method in class jsc.contingencytables.ContingencyTable: Return total number of data values.
getN() - Method in class jsc.contingencytables.ChiSquaredTest: Return total number of data values.
getN() - Method in class jsc.correlation.SpearmanCorrelation: Returns number of observations in sample, n.
getN() - Method in class jsc.correlation.LinearCorrelation: Returns number of observations in sample, n.
getN() - Method in class jsc.correlation.KendallCorrelation: Returns number of observations in sample, n.
getN() - Method in class jsc.curvefitting.LpNormFit: Returns number of observations in sample.
getN() - Method in class jsc.curvefitting.LineFitThruOrigin: Returns number of observations in sample.
getN() - Method in class jsc.curvefitting.LineFit: Returns number of observations in sample.
getN() - Method in class jsc.curvefitting.GeneralLinearLeastSquares: Returns number of data points (x,y).
getN() - Method in class jsc.curvefitting.ExponentialFit: Returns number of observations in sample.
getN() - Method in class jsc.datastructures.PairedData: Return number of paired data values.
getN() - Method in class jsc.datastructures.MatchedData: Return total number of data values.
getN() - Method in class jsc.datastructures.GroupedData: Return total number of data values.
getN() - Method in class jsc.descriptive.Tally
getN() - Method in class jsc.descriptive.OrderStatistics
getN() - Method in class jsc.descriptive.MeanVar
getN() - Method in class jsc.descriptive.DoubleTally: Return the number of observations used to form the tally table.
getN() - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the number of observations used to form the frequency table.
getN() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the number of observations used to form the frequency table.
getN() - Method in class jsc.distributions.NegativeBinomial: Returns the "nth success" parameter.
getN() - Method in class jsc.distributions.Binomial
getN() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the number of observations.
getN() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns the number of observations.
getN() - Method in class jsc.goodnessfit.KolmogorovCB
getN() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the number of observations.
getN() - Method in class jsc.independentsamples.TwoSampleBootstrapTest: Returns the total number of original observations.
getN() - Method in class jsc.independentsamples.PermutableTwoSampleStatistic
getN() - Method in class jsc.independentsamples.OneWayANOVA: Returns the total number of observations.
getN() - Method in class jsc.independentsamples.MannWhitneyTest
getN() - Method in class jsc.independentsamples.KruskalWallisTest: Returns the total number of observations.
getN() - Method in class jsc.numerical.Spline: Return number of knots (tabulated points) used to create spline.
getN() - Method in class jsc.onesample.WilcoxonTest: Returns the effective sample size for the test.
getN() - Method in class jsc.onesample.Ttest: Returns sample size.
getN() - Method in class jsc.onesample.SignTest: Returns the effective sample size for the test.
getN() - Method in class jsc.regression.PearsonCorrelation: Returns number of observations in sample, n.
getN() - Method in class jsc.regression.ImanConoverMonotonic: Returns number of observations in sample, n.
getN() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the total number of observations.
getN() - Method in interface jsc.statistics.Statistic: Returns the number of observations used to calculate the statistic.
getN() - Method in class jsc.swt.dialogue.NameTabbedDialogue: Returns n, the number of list tabs in the dialogue.
getN() - Method in class jsc.util.Rank: Return number of ranks.
getName() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the name of the table.
getNames() - Method in class jsc.swt.datatable.CalculatorVariables: Returns the names of the variables in the data table as a vector of strings.
getNames(int) - Method in class jsc.swt.dialogue.NameTabbedDialogue: Returns the names selected in the list tab with the given index.
getNames1() - Method in class jsc.swt.dialogue.NamePairDialogue: Returns the names selected in the first list of names, or returns null if no names are selected.
getNames2() - Method in class jsc.swt.dialogue.NamePairDialogue: Returns the names selected in the second list of names, or returns null if no names are selected.
getNegativeD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns Kolmogorov D-statistic: the maximum negative deviation, F(x)-S(x).
getNorm() - Method in class jsc.curvefitting.LpNormFit: Return the value of the Lp norm.
getNormalizedFrequency(int) - Method in class jsc.descriptive.FrequencyTable: Returns the ith normalized frequency.
getNumberOfBins() - Method in class jsc.descriptive.Tally
getNumberOfBins() - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the number of bins in the frequency table.
getNumberOfBins() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the number of bins in the frequency table.
getNumberOfBins() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the number of bins in the frequency table.
getNumberOfPages() - Method in class jsc.swt.datatable.DataWindow: Returns number of pages required to print contents of window.
getNumberOfTicks() - Method in class jsc.util.Scale: Returns number of tick marks on the scale.
getNumberOfTokens() - Method in class jsc.mathfunction.StatisticalMathFunction: Return number of tokens.
getNumberOfTokens() - Method in class jsc.mathfunction.StandardMathFunction: Return number of tokens.
getNumberOfTokens() - Method in class jsc.mathfunction.AbstractMathFunction: Return number of tokens.
getNumberOfVariables() - Method in class jsc.mathfunction.TwoVariables: Returns 2.
getNumberOfVariables() - Method in class jsc.mathfunction.SubscriptedVariable: Returns number of variables, n.
getNumberOfVariables() - Method in class jsc.mathfunction.SingleVariable: Returns 1.
getNumberOfVariables() - Method in class jsc.mathfunction.MultiVariables: Returns number of variables, n.
getNumberOfVariables() - Method in interface jsc.mathfunction.MathFunctionVariables: Returns number of variables.
getNumberOfVariables() - Method in class jsc.swt.datatable.CalculatorVariables: Returns number of variables.
getNumberOfVariablesUsed() - Method in class jsc.mathfunction.AbstractMathFunction: Returns number of variables used in last parsed expression.
getNumericalData(String) - Method in class jsc.swt.datatable.DataWindow: Get all non-null numerical data (double or integer) in the named column and return them in a double array.
getNumericalData(String) - Method in class jsc.swt.datatable.DataTable: Get all non-null numerical data (double or integer) in the named column and return them in a double array.
getNumericalData(String[]) - Method in class jsc.swt.datatable.DataWindow: Get all complete rows of non-null numerical data (double or integer) in the named columns and return them in a two-dimensional double array.
getNumericalData(String[]) - Method in class jsc.swt.datatable.DataTable: Get all complete rows of non-null numerical data (double or integer) in the named columns and return them in a two-dimensional double array.
getNumericalValueAt(int, int) - Method in class jsc.swt.datatable.DataTable: Return numerical value in cell (r,c) of table.
getObject(int) - Method in class jsc.swt.plot2d.PlotPanel: Returns the plot object having the specified index.
getObject(Point2D) - Method in class jsc.swt.plot2d.PlotPanel: Returns the plot object that contains the given point in device (pixel) co-ordinates.
getObjectCount() - Method in class jsc.swt.plot2d.PlotPanel: Returns number of plot objects in plot.
getObjectIndex(Point2D) - Method in class jsc.swt.plot2d.PlotPanel: Returns the index of the plot object that contains the given point in device (pixel) co-ordinates.
getObjects() - Method in class jsc.swt.plot2d.PlotPanel: Returns all the plot objects in a Vector.
getObservedFrequencies() - Method in class jsc.contingencytables.ChiSquaredTest: Return the matrix of observed frequencies.
getObservedFrequencies() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Return the array of observed frequencies.
getObservedFrequency(int) - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the observed frequency of the ith bin.
getObservedFrequency(int, int) - Method in class jsc.contingencytables.ChiSquaredTest: Returns the observed frequency having the specified row and column indexes.
getOneTailedMidP() - Method in class jsc.contingencytables.FishersExactTest: Returns the value of the one-tailed "mid-P" significance probability.
getOneTailedSP() - Method in class jsc.contingencytables.FishersExactTest: Returns the value of the one-tailed significance probability.
getOpenAction(String, Icon) - Method in class jsc.swt.file.AppFileActions: Returns an Open file action.
getOppositeTailProb() - Method in class jsc.contingencytables.FishersExactTest: Returns the value of the tail probability in the direction opposite to that returned by getOneTailedSP().
getOrderedS() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the array of sample distribution function values in ascending order.
getOrderedS(int) - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the ith ordered sample distribution function value.
getOrderedX() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the array of order statistics.
getOrderedX(int) - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the ith order statistic.
getOrdinate(double) - Method in interface jsc.swt.plot.PlotFunction: Returns y = f(x).
getOrdinate(double) - Method in class jsc.swt.plot2d.PdfPlot
getOrdinate(double) - Method in class jsc.swt.plot2d.CdfPlot
getOrientation() - Method in class jsc.swt.plot2d.PlotText: Returns the orientation of the text.
getP() - Method in class jsc.curvefitting.LpNormFit: Returns the value of p in the Lp norm.
getP() - Method in class jsc.distributions.NoncentralBeta
getP() - Method in class jsc.distributions.NegativeBinomial: Returns the "probability of success" parameter.
getP() - Method in class jsc.distributions.Geometric1: Returns the "probability of success" parameter.
getP() - Method in class jsc.distributions.Geometric: Returns the "probability of success" parameter.
getP() - Method in class jsc.distributions.Binomial
getP() - Method in class jsc.distributions.Beta
getP() - Method in class jsc.distributions.Bernoulli
getP() - Method in class jsc.onesample.LargeSampleProportionCI: Returns estimate of p.
getPaint() - Method in class jsc.swt.plot2d.PlotShape: Returns this object's paint style for drawing and filling.
getParentApp() - Method in class jsc.swt.mdi.MDIWindow: Returns a reference to the MDI application that is the parent of this window.
getParentDirectory() - Static method in class jsc.Utilities: Returns the parent directory of the home directory.
getParHeight(double) - Method in class jsc.swt.plot2d.PlotPanel: Returns the virtual height that has the same length in device (pixel) co-ordinates as the given width.
getParsedExpression() - Method in class jsc.mathfunction.AbstractMathFunction: Returns the currently parsed expression.
getParWidth(double) - Method in class jsc.swt.plot2d.PlotPanel: Returns the virtual width that has the same length in device (pixel) co-ordinates as the given height.
getPath() - Method in class jsc.swt.file.AppFileActions: Returns the pathname string of the current file, or null.
getPathIterator(AffineTransform) - Method in class jsc.swt.virtualgraphics.Path
getPathIterator(AffineTransform, double) - Method in class jsc.swt.virtualgraphics.Path
getPercentage(int) - Method in class jsc.descriptive.Tally: Returns the ith frequency as a percentage of the total number of observations used to form the table.
getPercentage(int) - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the ith frequency as a percentage of the total number of observations used to form the table.
getPermutationCount() - Method in class jsc.independentsamples.KruskalWallisTest: Returns the number of permutations of ranks.
getPermutationCount() - Method in class jsc.tests.PermutationTest: Returns the total number of possible permutations.
getPointEstimate() - Method in class jsc.independentsamples.RatioScaleCI: Point estimate of the ratio of the two population scale parameters.
getPointEstimate() - Method in class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Point estimate of the difference between the two population medians.
getPointEstimate(double[], double[]) - Static method in class jsc.independentsamples.RatioScaleCI: Point estimate of the ratio of two population scale parameters.
getPointEstimate(double[], double[]) - Static method in class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Point estimate of the difference between two population medians.
getPolynomial() - Method in class jsc.curvefitting.PolynomialFit: Returns the fitted polynomial.
getPopulationSize() - Method in class jsc.distributions.Hypergeometric: Returns population size parameter.
getPositiveD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns Kolmogorov D-statistic: the maximum positive deviation, S(x)-F(x).
getPrecedence(int) - Method in class jsc.mathfunction.StatisticalMathFunction: Return precedence of jth token.
getPrecedence(int) - Method in class jsc.mathfunction.StandardMathFunction: Return precedence of jth token.
getPrecedence(int) - Method in class jsc.mathfunction.AbstractMathFunction: Returns precedence value of operator token.
getPredY() - Method in class jsc.regression.ImanConoverMonotonic: Returns predicted average y values corresponding to the unsorted values of array x used in the constructor.
getPredY(double) - Method in class jsc.regression.ImanConoverMonotonic: Returns predicted y value for a given x-value.
getProb(int) - Method in class jsc.distributions.Discrete: Returns the ith probability of the distribution.
getProportion(int) - Method in class jsc.descriptive.Tally: Returns the ith frequency as a proportion of the total number of observations used to form the table.
getProportion(int) - Method in class jsc.descriptive.DoubleTally: Returns the ith frequency as a proportion of the total number of observations used to form the tally.
getProportion(int) - Method in interface jsc.descriptive.DoubleFrequencyTable: Returns the ith frequency as a proportion of the total number of observations used to form the table.
getProportion(int) - Method in class jsc.descriptive.AbstractFrequencyTable: Returns the ith frequency as a proportion of the total number of observations used to form the table.
getQ() - Method in class jsc.distributions.NoncentralBeta
getQ() - Method in class jsc.distributions.Beta
getR() - Method in class jsc.correlation.SpearmanCorrelation: Returns correlation coefficient.
getR() - Method in class jsc.correlation.LinearCorrelation: Returns correlation coefficient.
getR() - Method in class jsc.correlation.KendallCorrelation: Returns correlation coefficient.
getR() - Method in class jsc.regression.PearsonCorrelation: Returns Pearson product-moment correlation coefficient.
getRange() - Method in class jsc.descriptive.OrderStatistics
getRank(int) - Method in class jsc.util.Rank: Return ith rank.
getRanks() - Method in class jsc.independentsamples.MannWhitneyTest: Returns the ranks of the combined samples.
getRanks() - Method in class jsc.relatedsamples.PageTest: Returns the ranks.
getRanks() - Method in class jsc.relatedsamples.FriedmanTest: Returns the ranks.
getRanks() - Method in class jsc.util.Rank: Return array of ranks.
getRankSumA() - Method in class jsc.independentsamples.MannWhitneyTest: Returns sum of ranks of sample A.
getRankSumB() - Method in class jsc.independentsamples.MannWhitneyTest: Returns sum of ranks of sample B.
getRankX() - Method in class jsc.regression.ImanConoverMonotonic: Returns rank structure of array x.
getRankY() - Method in class jsc.regression.ImanConoverMonotonic: Returns rank structure of array y.
getRealFormat() - Method in class jsc.swt.datatable.Table: Return format for displaying real numbers.
getRealFormat() - Static method in class jsc.swt.datatable.DataFile: Returns the format for real values (doubles) in data files.
getRealValue() - Method in class jsc.swt.control.RealSlider: Returns the real value corresponding to the current position of the slider's pointer.
getRealValue() - Method in class jsc.swt.control.RealLogSlider: Returns the real value corresponding to the current position of the slider's pointer.
getRealValue() - Method in class jsc.swt.control.DisplayField: Attempts to parse the field's text as a double and return its value.
getRenderingHints() - Method in class jsc.swt.plot2d.PlotPanel: Returns the rendering hints used in the plot.
getResidual(int) - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the squared standardized residual of the ith bin.
getResidual(int, int) - Method in class jsc.contingencytables.ChiSquaredTest: Returns the squared standardized residual having the specified row and column indexes.
getResiduals() - Method in class jsc.contingencytables.ChiSquaredTest: Returns the matrix of squared standardized residuals.
getResiduals() - Method in class jsc.curvefitting.LpNormFit: Returns the array of residuals.
getResiduals() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the array of squared standardized residuals.
getResiduals() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the residuals.
getRight(int) - Method in class jsc.mathfunction.CodeList: Returns code identifying right argument in jth line of the code list.
getRightCode(int) - Method in class jsc.mathfunction.CodeList: Returns the code of the right argument of the jth entry of the code list.
getRightType(int) - Method in class jsc.mathfunction.CodeList: Returns the type of the right argument of the jth entry of the code list.
getRightValue(int) - Method in class jsc.mathfunction.CodeList: Returns the value of the right argument of the jth entry of the code list, assuming that the preceeding entries have been evaluated up to line j-1.
getRms() - Method in class jsc.independentsamples.OneWayANOVA: Returns the residual mean square.
getRms() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the residual mean square.
getRowCount() - Method in class jsc.contingencytables.ContingencyTable: Return number of rows in table.
getRowCount() - Method in class jsc.contingencytables.ChiSquaredTest: Return number of rows.
getRowCount() - Method in class jsc.swt.datatable.RecodeModel
getRowCount() - Method in class jsc.swt.datatable.DataWindow: Returns the number of rows in the data table.
getRowCount() - Method in class jsc.swt.datatable.DataModel: Return number of rows.
getRowCount() - Method in class jsc.swt.datatable.DataMatrix: Return number of rows.
getRowData(int) - Method in class jsc.contingencytables.ContingencyTable: Return data for the row with the specified index.
getRowData(String) - Method in class jsc.contingencytables.ContingencyTable: Return data for the row with the specified label.
getRowLabel(int) - Method in class jsc.contingencytables.ContingencyTable: Return label for the row with the specified index.
getRowLabels() - Method in class jsc.contingencytables.ContingencyTable: Return sorted, distinct labels of rows.
getRowTotals() - Method in class jsc.contingencytables.ContingencyTable: Return row marginal totals.
getRowTotals() - Method in class jsc.contingencytables.ChiSquaredTest: Return row marginal totals.
getRss() - Method in class jsc.independentsamples.OneWayANOVA: Returns the residual sum of squares.
getRss() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the residual sum of squares.
getS() - Method in class jsc.correlation.SpearmanCorrelation: Returns S, the sum of squared differences in ranks.
getS() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the array of sample distribution function values corresponding to the observations in their original order.
getS() - Method in class jsc.relatedsamples.FriedmanTest: Returns the sum of squares of rank deviations, S.
getS(int) - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the ith sample distribution function value corresponding to the ith observation in its original order.
getSample() - Method in class jsc.event.SampleEvent: Returns the array of values in sample.
getSample() - Method in interface jsc.statistics.ResampleStatistic: Returns the original array of values in the sample.
getSampleA() - Method in class jsc.independentsamples.TwoSampleTtest
getSampleA() - Method in interface jsc.independentsamples.TwoSampleStatistic: Returns the original array of values in sample A.
getSampleB() - Method in class jsc.independentsamples.TwoSampleTtest
getSampleB() - Method in interface jsc.independentsamples.TwoSampleStatistic: Returns the original array of values in sample B.
getSampleSize() - Method in class jsc.distributions.Hypergeometric: Returns sample size parameter.
getSaveAction(String, Icon) - Method in class jsc.swt.file.AppFileActions: Returns a Save file action.
getSaveAsAction(String) - Method in class jsc.swt.file.AppFileActions: Returns a Save As file action.
getScale() - Method in class jsc.descriptive.FrequencyTable
getScale() - Method in class jsc.distributions.Weibull: Returns the scale parameter of the distribution (or characteristic life).
getScale() - Method in class jsc.distributions.PowerFunction: Returns the scale parameter of the distribution.
getScale() - Method in class jsc.distributions.Lognormal: Returns the scale parameter of the distribution.
getScale() - Method in class jsc.distributions.Logistic: Returns the scale parameter of the distribution.
getScale() - Method in class jsc.distributions.Laplace: Returns the scale parameter of the distribution.
getScale() - Method in class jsc.distributions.Gamma: Returns the scale parameter of the distribution.
getScale() - Method in class jsc.distributions.ExtremeValue: Returns the scale parameter of the distribution.
getScale() - Method in class jsc.distributions.Cauchy: Returns the scale parameter of the distribution.
getScaleMax() - Method in class jsc.descriptive.FrequencyTable
getScaleMin() - Method in class jsc.descriptive.FrequencyTable
getSd() - Method in class jsc.descriptive.MeanVar
getSd() - Method in class jsc.onesample.Ztest: Returns sample standard deviation.
getSd() - Method in class jsc.onesample.Ttest: Returns sample standard deviation.
getSd() - Method in class jsc.onesample.NormalMeanCI: Returns sample standard deviation of the data.
getSd() - Method in class jsc.onesample.LargeSampleMeanCI: Returns sample standard deviation of the data.
getSd(int) - Method in class jsc.independentsamples.OneWayANOVA: Returns the standard deviation of the ith sample.
getSdA() - Method in class jsc.independentsamples.TwoSampleTtest: Returns standard deviation of the 1st sample.
getSdB() - Method in class jsc.independentsamples.TwoSampleTtest: Returns standard deviation of the 2nd sample.
getSdDiff() - Method in class jsc.independentsamples.TwoSampleTtest: Returns estimated standard deviation of the difference between means.
getSdf() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns the sample distribution function S(x) calculated for the test.
getSdf() - Method in class jsc.goodnessfit.KolmogorovCB: Returns the sample distribution function S(x) calculated for the confidence band.
getSdfA() - Method in class jsc.independentsamples.SmirnovTest: Returns the sample distribution function S(x) of sample A calculated for the test.
getSdfB() - Method in class jsc.independentsamples.SmirnovTest: Returns the sample distribution function S(x) of sample B calculated for the test.
getSelectedValue() - Method in class jsc.swt.menu.DigitsMenu: Returns the value that is currently selected on the menu.
getShape() - Method in class jsc.distributions.Weibull: Returns the shape parameter of the distribution.
getShape() - Method in class jsc.distributions.PowerFunction: Returns the shape parameter of the distribution.
getShape() - Method in class jsc.distributions.Pareto: Returns the shape parameter of the distribution.
getShape() - Method in class jsc.distributions.Gamma: Returns the shape parameter of the distribution.
getShape() - Method in class jsc.swt.plot2d.PlotShape: Returns this object's shape.
getShape(Point2D.Float) - Method in class jsc.swt.plot2d.VerticalBarMarker: Returns the shape of the marker in device (pixel) coordinates, centered at the given device point p.
getShape(Point2D.Float) - Method in class jsc.swt.plot2d.StandardMarker: Returns the shape of the marker in device (pixel) coordinates, centered at the given device point p.
getShape(Point2D.Float) - Method in class jsc.swt.plot2d.Marker: This should return the shape of the marker in device (pixel) coordinates centered at the given device point p and having the appropriate size.
getShape(Point2D.Float) - Method in class jsc.swt.plot2d.HorizontalBarMarker: Returns the shape of the marker in device (pixel) coordinates, centered at the given device point p.
getSignedRanks() - Method in class jsc.onesample.WilcoxonTest: Returns the array of signed ranks used for the test.
getSignificantDigits() - Method in class jsc.swt.datatable.Table: Return number of significant digits displayed in real numbers.
getSignificantDigits() - Method in class jsc.swt.text.SigFigFormat: Returns the number of significant figures used by the format.
getSize() - Method in class jsc.swt.plot2d.Marker: Returns the size (in pixels) of the marker.
getSize(int) - Method in class jsc.datastructures.GroupedData: Return number of data values in the group with the specified index.
getSize(int) - Method in class jsc.independentsamples.OneWayANOVA: Returns the number of observations in the ith sample.
getSize(int) - Method in class jsc.independentsamples.KruskalWallisTest: Returns the number of observations in the ith sample.
getSize(String) - Method in class jsc.datastructures.GroupedData: Return number of data values in the group with the specified label.
getSizes() - Method in class jsc.datastructures.GroupedData: Returns array of group sizes.
getSlider(int) - Method in class jsc.swt.plot2d.SplinePlot2D: Returns the slider controlling the ith bead of the plot.
getSlope() - Method in class jsc.swt.virtualgraphics.VLine: Returns the slope of the line in the virtual coordinate system.
getSmallExpectedFrequencyCount() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns number of expected frequencies less than 5.
getSortedPredY(int) - Method in class jsc.regression.ImanConoverMonotonic: Returns value of predicted average y values corresponding to the values of x sorted in ascending order for i = 0, 1, ..., n-1.
getSortedResidual(int) - Method in class jsc.regression.ImanConoverMonotonic: Returns difference between predicted average y value and y value, corresponding to the values of x sorted in ascending order for i = 0, 1, ..., n-1.
getSortedX(int) - Method in class jsc.regression.ImanConoverMonotonic: Returns values of x in ascending order for i = 0, 1, ..., n-1.
getSortIndex(int) - Method in class jsc.util.Rank: Return ith sort index such that rank[index[j]] is in ascending order for j = 0,1,2, ...
getSortIndexes() - Method in class jsc.util.Rank: Return sort indexes such that rank[index[j]] are in ascending order for j = 0,1,2, ...
getSP() - Method in class jsc.contingencytables.McNemarTest
getSP() - Method in class jsc.contingencytables.FishersExactTest: Returns the value of the significance probability for the alternative hypothesis specified in the constructor.
getSP() - Method in class jsc.contingencytables.ChiSquaredTest: Returns the value of the significance probability.
getSP() - Method in class jsc.correlation.SpearmanCorrelation
getSP() - Method in class jsc.correlation.LinearCorrelation
getSP() - Method in class jsc.correlation.KendallCorrelation: Returns the value of the significance probability.
getSP() - Method in class jsc.goodnessfit.KolmogorovTest
getSP() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns the value of the significance probability.
getSP() - Method in class jsc.independentsamples.TwoSampleTtest
getSP() - Method in class jsc.independentsamples.SmirnovTest: Returns the value of the significance probability.
getSP() - Method in class jsc.independentsamples.PitmanTwoSampleTest
getSP() - Method in class jsc.independentsamples.OneWayANOVA: Returns the value of the significance probability.
getSP() - Method in class jsc.independentsamples.MannWhitneyTest: Returns the value of the significance probability.
getSP() - Method in class jsc.independentsamples.KruskalWallisTest: Returns the value of the significance probability.
getSP() - Method in class jsc.independentsamples.JonckheereTest: Returns the value of the significance probability.
getSP() - Method in class jsc.onesample.Ztest
getSP() - Method in class jsc.onesample.WilcoxonTest: Returns the value of the significance probability.
getSP() - Method in class jsc.onesample.Ttest
getSP() - Method in class jsc.onesample.SignTest
getSP() - Method in class jsc.onesample.FisherSymmetryTest
getSP() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the value of the significance probability.
getSP() - Method in class jsc.relatedsamples.PageTest
getSP() - Method in class jsc.relatedsamples.FriedmanTest: Returns the value of the significance probability.
getSP() - Method in interface jsc.tests.SignificanceTest: Returns the value of the significance probability.
getSP() - Method in class jsc.tests.ResampleTest: Returns the achieved significance level of the bootstrap test.
getSP() - Method in class jsc.tests.PermutationTest: Returns the achieved significance level of the permutation test.
getSP() - Method in class jsc.tests.BootstrapTest: Returns the achieved significance level of the bootstrap test.
getSP(double, H1) - Static method in class jsc.onesample.Ztest: Calculate the significance probability.
getSpearmanCoeff() - Method in class jsc.regression.ImanConoverMonotonic: Returns Spearman's rank correlation coefficient for the data x and y.
getSpline() - Method in class jsc.distributions.SplineShape: Returns the spline object that defines the distribution.
getSpline() - Method in class jsc.swt.plot2d.SplinePlot2D: Returns the spline object that represents the curve.
getStatistic() - Method in class jsc.event.StatisticEvent: Return the statistic.
getStatistic() - Method in class jsc.independentsamples.TwoSampleTtest: Returns value of test statistic.
getStatistic() - Method in class jsc.independentsamples.SmirnovTest: Returns tabulated value of the test statistic.
getStatistic() - Method in class jsc.independentsamples.MannWhitneyTest: Returns value of the Mann-Whitney test statistic, U.
getStatistic() - Method in class jsc.independentsamples.KruskalWallisTest: Returns value of the Kruskal-Wallis test statistic, H.
getStatistic() - Method in class jsc.onesample.Ttest: Returns value of test statistic.
getStatistic() - Method in interface jsc.statistics.Statistic: Returns the value of the observed statistic.
getStep() - Method in class jsc.swt.plot.LinearAxisModel: Returns the step length between ticks.
getStep() - Method in class jsc.util.Scale: Returns the step length between ticks.
getString() - Method in class jsc.swt.plot2d.PlotText: Returns the text string.
getStroke() - Method in class jsc.swt.plot2d.PlotShape: Returns this object's penstyle for drawing.
getStroke() - Method in class jsc.swt.plot2d.Marker: Returns the pen style of the marker.
getSubsetCount() - Method in class jsc.combinatorics.MultiSetPermutation: Returns the number of subsets, k.
getSubsetSizes() - Method in class jsc.combinatorics.MultiSetPermutation: Returns the subset sizes.
getSummary() - Method in class jsc.mathfunction.AbstractMathFunction: Returns a string summarizing the available tokens and variables.
getSumOfSquares() - Method in class jsc.curvefitting.LineFitThruOrigin: Return the sum of squared deviations.
getSumOfSquares() - Method in class jsc.curvefitting.LineFit: Return the sum of weighted squared deviations.
getSumOfSquares() - Method in class jsc.curvefitting.GeneralLinearLeastSquares: Return the sum of weighted squared deviations.
getSuperscriptChar(int) - Static method in class jsc.Utilities: Returns the Unicode character for the value of n as a superscript, for n from zero to 9.
getT() - Method in class jsc.correlation.KendallCorrelation: Returns Theil's statistic, T.
getTestStatistic() - Method in class jsc.contingencytables.McNemarTest: Returns the chi-squared value.
getTestStatistic() - Method in class jsc.contingencytables.FishersExactTest: Returns the smallest frequency in the contingency table.
getTestStatistic() - Method in class jsc.contingencytables.ChiSquaredTest: Returns value of the chi-squared test statistic.
getTestStatistic() - Method in class jsc.correlation.SpearmanCorrelation: Returns correlation coefficient.
getTestStatistic() - Method in class jsc.correlation.LinearCorrelation: Returns correlation coefficient.
getTestStatistic() - Method in class jsc.correlation.KendallCorrelation: Returns correlation coefficient.
getTestStatistic() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns the appropriate Kolmogorov D-statistic for the alternative hypothesis.
getTestStatistic() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Returns value of chi-squared statistic.
getTestStatistic() - Method in class jsc.independentsamples.TwoSampleTtest: Returns value of test statistic.
getTestStatistic() - Method in class jsc.independentsamples.SmirnovTest: Returns value of the Kolmogorov-Smirnov test statistic, D.
getTestStatistic() - Method in class jsc.independentsamples.PitmanTwoSampleTest: Returns value of test statistic.
getTestStatistic() - Method in class jsc.independentsamples.OneWayANOVA: Returns value of the F test statistic.
getTestStatistic() - Method in class jsc.independentsamples.MannWhitneyTest: Returns value of the Mann-Whitney test statistic, U.
getTestStatistic() - Method in class jsc.independentsamples.KruskalWallisTest: Returns value of the Kruskal-Wallis test statistic, H.
getTestStatistic() - Method in class jsc.independentsamples.JonckheereTest: Returns value of the Jonckheere test statistic, W.
getTestStatistic() - Method in class jsc.onesample.Ztest: Returns value of test statistic.
getTestStatistic() - Method in class jsc.onesample.WilcoxonTest: Returns value of test statistic.
getTestStatistic() - Method in class jsc.onesample.Ttest: Returns value of test statistic.
getTestStatistic() - Method in class jsc.onesample.SignTest: Returns value of test statistic.
getTestStatistic() - Method in class jsc.onesample.FisherSymmetryTest: Returns value of the test statistic.
getTestStatistic() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns value of the F test statistic.
getTestStatistic() - Method in class jsc.relatedsamples.PageTest: Returns value of the Page test statistic, L.
getTestStatistic() - Method in class jsc.relatedsamples.FriedmanTest: Returns value of the Friedman test statistic, M.
getTestStatistic() - Method in interface jsc.tests.SignificanceTest: Returns the value of the test statistic.
getTestStatistic() - Method in class jsc.tests.ResampleTest: Returns value of the original observed statistic.
getTestStatistic() - Method in class jsc.tests.PermutationTest: Returns value of the original observed statistic.
getTestStatistic() - Method in class jsc.tests.BootstrapTest: Returns value of the original observed statistic.
getTickCount() - Method in class jsc.swt.plot.PiAxisModel
getTickCount() - Method in class jsc.swt.plot.LinearAxisModel
getTickCount() - Method in interface jsc.swt.plot.AxisModel: Returns the number of tick marks on the axis.
getTickCount() - Method in class jsc.swt.plot2d.Axis: Returns the number of tick marks.
getTickLabel(int) - Method in class jsc.swt.plot.PiAxisModel
getTickLabel(int) - Method in class jsc.swt.plot.LinearAxisModel
getTickLabel(int) - Method in interface jsc.swt.plot.AxisModel: Returns the value of the ith tick mark as a formatted string.
getTickLabel(int) - Method in class jsc.swt.plot2d.Axis: Return the ith tick label.
getTickLabelColour() - Method in class jsc.swt.plot2d.Axis: Returns the colour of the tick label.
getTickLabelFont() - Method in class jsc.swt.plot2d.Axis: Returns the font of the tick label.
getTickMark(int) - Method in class jsc.swt.plot2d.Axis: Return the ith tick mark.
getTickSize() - Method in class jsc.swt.plot2d.Axis: Returns the size of the tick marks.
getTickStroke() - Method in class jsc.swt.plot2d.Axis: Returns the stroke style of the tick marks.
getTickValue(int) - Method in class jsc.swt.plot.PiAxisModel
getTickValue(int) - Method in class jsc.swt.plot.LinearAxisModel
getTickValue(int) - Method in interface jsc.swt.plot.AxisModel: Returns the value of the ith tick mark.
getTickValue(int) - Method in class jsc.util.Scale: Returns the value of the ith tick mark.
getTitle() - Method in class jsc.swt.plot2d.AxesPlot: Returns the title of the plot.
getToken(int) - Method in class jsc.mathfunction.StatisticalMathFunction: Return jth token string.
getToken(int) - Method in class jsc.mathfunction.StandardMathFunction: Return jth token string.
getToken(int) - Method in class jsc.mathfunction.AbstractMathFunction: Return token representing a symbolic constant, unary or binary operator.
getTokenFromCode(int) - Method in class jsc.mathfunction.AbstractMathFunction: Returns token string corresponding to code c, or return null if no token for code c.
getTotalRepCount() - Method in class jsc.tests.ResampleTest: Returns the total number of random bootstrap replications.
getTotalRepCount() - Method in class jsc.tests.PermutationTest: Returns the total number of permutations used.
getTotalRepCount() - Method in class jsc.tests.BootstrapTest: Returns the total number of random bootstrap replications.
getTreatmentCount() - Method in class jsc.datastructures.MatchedData: Return number of treatments.
getTreatmentCount() - Method in class jsc.independentsamples.OneWayANOVA: Returns the number of samples (treatments).
getTreatmentCount() - Method in class jsc.relatedsamples.TwoWayANOVA: Return number of treatments.
getTreatmentData(int) - Method in class jsc.datastructures.MatchedData: Return data for the treatment with the specified index.
getTreatmentData(String) - Method in class jsc.datastructures.MatchedData: Return data for the treatment with the specified label.
getTreatmentEms() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the explained mean square associated with differences between treatments.
getTreatmentEss() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the treatment explained sum of squares.
getTreatmentLabel(int) - Method in class jsc.datastructures.MatchedData: Return label for the treatment with the specified index.
getTreatmentLabels() - Method in class jsc.datastructures.MatchedData: Return sorted, distinct labels of treatments.
getTreatmentMean(int) - Method in class jsc.datastructures.MatchedData: Calculate mean of data for the treatment with the specified index.
getTreatmentPackedCopy() - Method in class jsc.datastructures.MatchedData: Make a one-dimensional treatment packed copy of the internal array.
getTrialCount() - Method in class jsc.swt.plot2d.ProportionPlot2D: Return the number of trials that are currently plotted.
getTss() - Method in class jsc.independentsamples.OneWayANOVA: Returns the total sum of squares.
getTss() - Method in class jsc.relatedsamples.TwoWayANOVA: Returns the total sum of squares.
getType() - Method in class jsc.swt.plot2d.VerticalBarChart: Returns the type of bar chart.
getType() - Method in class jsc.swt.plot2d.StandardMarker: Returns the marker type.
getType() - Method in class jsc.swt.plot2d.Histogram2D: Returns the type of histogram: FREQUENCY, RELATIVE or NORMALIZED.
getType(int) - Method in class jsc.mathfunction.StatisticalMathFunction: Returns the type of code (CONSTANT, UNARY_OP, BINARY_OP).
getType(int) - Method in class jsc.mathfunction.StandardMathFunction: Returns the type of code (CONSTANT, UNARY_OP, BINARY_OP).
getType(int) - Method in class jsc.mathfunction.CodeList: Returns type of code in jth line of the code list: CONSTANT, VARIABLE, UNARY_OP, BINARY_OP.
getType(int) - Method in class jsc.mathfunction.AbstractMathFunction: Returns the type of code: UNARY_OP, BINARY_OP or CONSTANT.
getType(String) - Static method in class jsc.swt.plot2d.StandardMarker: Returns the type code of the marker with given name.
getTypeCount() - Static method in class jsc.swt.plot2d.StandardMarker: Returns number of types of marker.
getTypeName(int) - Static method in class jsc.swt.plot2d.StandardMarker: Returns the name of the marker with given type code.
getUpperLimit() - Method in interface jsc.ci.ConfidenceInterval: Returns the value of the upper confidence limit.
getUpperLimit() - Method in class jsc.ci.AbstractConfidenceInterval: Returns the value of the upper confidence limit.
getUpperLimit() - Method in class jsc.correlation.LinearCorrelation: Returns the value of the upper confidence limit.
getUpperLimit() - Method in class jsc.independentsamples.TwoSampleTtest: Returns the value of the upper confidence limit.
getUpperLimit(int) - Method in interface jsc.ci.ConfidenceBand: Returns the value of the upper confidence limit function at the ith x-value.
getUpperLimit(int) - Method in class jsc.goodnessfit.KolmogorovCB
getUpperQuartile() - Method in class jsc.descriptive.OrderStatistics
getUserDirectory() - Static method in class jsc.Utilities: Returns the user's current working directory.
getValue() - Method in class jsc.mathfunction.CodeList: Returns the value of the code list, assuming that all the lines of the code list have been evaluated.
getValue() - Method in class jsc.swt.control.RealField: Attempts to parse the field's text as a double and return its value.
getValue() - Method in class jsc.swt.control.PosRealField: Attempts to parse the field's text as a double and return its value.
getValue() - Method in class jsc.swt.control.PosIntegerLabelledField: Deprecated. If the value displayed in the field is not greater than maxValue, returns the value.
getValue() - Method in class jsc.swt.control.PosIntegerField: Attempts to parse the field's text as an integer and return its value.
getValue() - Method in class jsc.swt.control.PosIntegerComboBox: Returns the selected integer.
getValue() - Method in class jsc.swt.control.IntegerField: Attempts to parse the field's text as an integer and return its value.
getValue() - Method in class jsc.swt.control.IntegerComboBox: Returns the selected integer.
getValue(int) - Method in class jsc.descriptive.DoubleTally: Returns the ith distinct value.
getValue(int) - Method in class jsc.distributions.Discrete: Returns the ith variate-value of the distribution.
getValue(int) - Method in class jsc.mathfunction.CodeList: Returns the value of the jth entry of the code list, assuming that the preceeding entries have been evaluated up to line j.
getValue(String, String) - Method in class jsc.swt.util.IniFiles: Returns the string value of the named key in the named section.
getValueAt(int, int) - Method in class jsc.swt.datatable.RecodeModel
getValueAt(int, int) - Method in class jsc.swt.datatable.DataModel: Return value at given row and column.
getValueAt(int, int) - Method in class jsc.swt.datatable.DataMatrix: Return value at given row and column.
getValueCount() - Method in class jsc.descriptive.DoubleTally: Return the number of distinct values in the tally.
getValueCount() - Method in class jsc.distributions.Discrete: Returns n, the number of discrete variate-values in the distribution.
getVariableName(int) - Method in class jsc.mathfunction.TwoVariables: Returns variable names.
getVariableName(int) - Method in class jsc.mathfunction.SubscriptedVariable: Returns variable names.
getVariableName(int) - Method in class jsc.mathfunction.SingleVariable: Returns variable name.
getVariableName(int) - Method in class jsc.mathfunction.MultiVariables: Returns variable names.
getVariableName(int) - Method in interface jsc.mathfunction.MathFunctionVariables: Returns variable name for variable with given index.
getVariableName(int) - Method in class jsc.swt.datatable.CalculatorVariables: Returns variable name for variable with given index.
getVariableSubscript(int) - Method in class jsc.mathfunction.SubscriptedVariable: Returns subscript of variable corresponding to its index.
getVariableValue(int) - Method in class jsc.mathfunction.TwoVariables: Returns value of variable.
getVariableValue(int) - Method in class jsc.mathfunction.SubscriptedVariable: Returns value of variable.
getVariableValue(int) - Method in class jsc.mathfunction.SingleVariable: Returns value of variable.
getVariableValue(int) - Method in class jsc.mathfunction.MultiVariables: Returns value of variable.
getVariableValue(int) - Method in interface jsc.mathfunction.MathFunctionVariables: Returns value of variable for variable with given index.
getVariableValue(int) - Method in class jsc.swt.datatable.CalculatorVariables: Returns value of variable for variable with given index.
getVariance() - Method in class jsc.descriptive.MeanVar
getVariance() - Method in class jsc.onesample.NormalVarianceCI: Returns sample variance of the data.
getVerticalAxis() - Method in class jsc.swt.plot2d.AxesPlot: Returns the Y-axis of the plot.
getVirtualSpace() - Method in class jsc.swt.plot2d.PlotPanel: Returns the rectangle that defines the virtual plotting area.
getVirtualTransform() - Method in class jsc.swt.plot2d.PlotPanel: Returns the affine transformation that defines the transformation from virtual (user) co-ordinates to device (pixel) co-ordinates.
getVisibleHeight() - Method in class jsc.swt.control.ToolBar: If the tool bar is visible, returns its height in pixels.
getW() - Method in class jsc.relatedsamples.FriedmanTest: Returns value of the coefficient of concordance, W.
getWidth() - Method in class jsc.swt.virtualgraphics.VDimension: Returns the width of the dimension.
getX() - Method in class jsc.datastructures.PairedData: Return sample x data.
getX() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the array of observations in their original order.
getX() - Method in class jsc.regression.ImanConoverMonotonic: Returns unsorted array x used in the constructor.
getX(int) - Method in interface jsc.ci.ConfidenceBand: Returns the ith x-value.
getX(int) - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns the ith observation in its original order.
getX(int) - Method in class jsc.goodnessfit.KolmogorovCB
getX(int) - Method in class jsc.numerical.Spline: Return the ith tabulated x-point used to create the spline.
getX(int) - Method in class jsc.swt.plot2d.SplinePlot2D: Return the abscissa (x value) of the ith bead on the curve.
getY() - Method in class jsc.datastructures.PairedData: Return sample y data.
getY() - Method in class jsc.regression.ImanConoverMonotonic: Returns unsorted array y used in the constructor.
getY(double) - Method in class jsc.swt.plot2d.SplinePlot2D: Return the ordinate (y value) of the spline curve at given x.
getY(int) - Method in class jsc.numerical.Spline: Return the ith tabulated y-point used to create the spline.
getY(int) - Method in class jsc.swt.plot2d.SplinePlot2D: Return the ordinate (y value) of the ith bead on the curve.
getZ() - Method in class jsc.independentsamples.MannWhitneyTest: Calculate the approximate normal test statistic, z.
getZ() - Method in class jsc.onesample.WilcoxonTest: Calculate the approximate normal test statistic, z.
getZ(int) - Method in class jsc.independentsamples.KruskalWallisTest: Returns the z-value of a sample.
GraphicBackgroundPanel - class jsc.swt.panel.GraphicBackgroundPanel.: This class implements a panel with a graphic background produced by tiling an image.
GraphicBackgroundPanel(LayoutManager, ImageIcon) - Constructor for class jsc.swt.panel.GraphicBackgroundPanel: Creates the panel with specified layout and tile image.
GrayCode - class jsc.combinatorics.GrayCode.: This class generates Gray codes.
GrayCode(int) - Constructor for class jsc.combinatorics.GrayCode: Initialize the object.
GREATER_THAN - Static variable in class jsc.tests.H1: Indicates a one-sided test in which the alternative hypothesis is in some sense "greater than" compared to the null hypothesis.
greek(char) - Static method in class jsc.swt.text.StatisticalDocument: Converts normal ANSI chars into unicode greek symbol characters.
GroupedData - class jsc.datastructures.GroupedData.: This class represents grouped data.
GroupedData(double[], int[]) - Constructor for class jsc.datastructures.GroupedData: Construct the grouped data structure.
GroupedData(double[], String[]) - Constructor for class jsc.datastructures.GroupedData: Construct the grouped data structure.
GT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator: symbol >.

H

H1 - class jsc.tests.H1.: Defines constants for simple alternative hypotheses in significance tests.
harding(boolean, int, int, int, double[]) - Static method in class jsc.distributions.MannWhitneyU: Harding's algorithm for calculating the Mann-Whitney U and generalized U frequency distribution.
hasBlockLabel(String) - Method in class jsc.datastructures.MatchedData: Tests if the specified label is the label of a block.
hasColumnLabel(String) - Method in class jsc.contingencytables.ContingencyTable: Tests if the specified label is the label of a column.
hasData() - Method in class jsc.swt.datatable.DataClipboard: Returns true if the clipboard has data.
hasLabel(String) - Method in class jsc.datastructures.GroupedData: Tests if the specified label is the label of a group.
hasNext() - Method in class jsc.combinatorics.Permutations: Returns true if the next call of nextPermutation() would return a permutation, rather than throwing an exception.
hasNext() - Method in class jsc.combinatorics.MultiSetPermutations: Returns true if the next call of nextPermutation() would return a permutation, rather than throwing an exception.
hasNext() - Method in class jsc.combinatorics.GrayCode: Returns true if the next call of nextBitVector() would return a bit vector, rather than throwing an exception.
hasNext() - Method in interface jsc.combinatorics.Enumerator: Returns true if the enumeration has more selections.
hasParsed() - Method in class jsc.mathfunction.AbstractMathFunction: Returns true if the object has parsed an expression that can be evaluated: returns false otherwise.
hasRowLabel(String) - Method in class jsc.contingencytables.ContingencyTable: Tests if the specified label is the label of a row.
hasSelection() - Method in class jsc.swt.mdi.MDIWindow: Returns true if some contents of window is selected.
hasSmallExpectedFrequency() - Method in class jsc.contingencytables.ChiSquaredTest: Returns true if the test is unreliable due to small expected frequencies.
hasTies() - Method in class jsc.util.Rank: Returns true if there are tied ranks.
hasTreatmentLabel(String) - Method in class jsc.datastructures.MatchedData: Tests if the specified label is the label of a treatment.
height - Variable in class jsc.swt.virtualgraphics.VDimension: Height of dimension.
HelpAction - class jsc.swt.help.HelpAction.: This class represents an action that displays an initial HTML help page.
HelpAction(Component, String, Icon, String, String) - Constructor for class jsc.swt.help.HelpAction: Creates the help action.
helpMenu - Variable in class jsc.swt.datatable.DataWindow: The Help menu.
helpMenu - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's Help menu.
HelpWindow - class jsc.swt.help.HelpWindow.: This class represents a help window that displays simple HTML documents.
HelpWindow(URL) - Constructor for class jsc.swt.help.HelpWindow: Creates the help window initially displaying the document at the specified page.
hints - Variable in class jsc.swt.plot2d.PlotPanel: The rendering hints for drawing.
Histogram2D - class jsc.swt.plot2d.Histogram2D.: This class represents a histogram.
Histogram2D(String, AxisModel, AxisModel) - Constructor for class jsc.swt.plot2d.Histogram2D: Creates the histogram with given title and Axis objects.
hodgesLehmannEstimate() - Method in class jsc.onesample.WilcoxonMedianCI: Point estimate of a population median.
hodgesLehmannEstimate(double[]) - Static method in class jsc.onesample.WilcoxonMedianCI: Point estimate of a population median.
horizontalAxis - Variable in class jsc.swt.plot2d.AxesPlot: The horizontal axis.
HorizontalAxis - class jsc.swt.plot2d.HorizontalAxis.: This class represents a horizontal axis drawn on a plot.
HorizontalAxis() - Constructor for class jsc.swt.plot2d.HorizontalAxis: Creates a default horizontal axis with minimum 0, maximum 1 and tick marks at 0 and 1.
HorizontalAxis(AxisModel, double) - Constructor for class jsc.swt.plot2d.HorizontalAxis: Creates the horizontal axis using the given AxisModel data structure and ordinate.
HorizontalAxis(AxisModel, double, Color, Stroke, int, Font, Font) - Constructor for class jsc.swt.plot2d.HorizontalAxis: Creates the horizontal axis using the given AxisModel data structure, ordinate, graphical attributes and fonts.
HorizontalAxis(AxisModel, double, Color, Stroke, int, Stroke, Color, Font, Color, Font) - Constructor for class jsc.swt.plot2d.HorizontalAxis: Creates the horizontal axis using the given AxisModel data structure, ordinate, graphical attributes and fonts.
HorizontalBarMarker - class jsc.swt.plot2d.HorizontalBarMarker.: This class represents a marker in the form of a horizontal bar.
HorizontalBarMarker(VPoint, int) - Constructor for class jsc.swt.plot2d.HorizontalBarMarker: Creates the marker with default colour and default stroke style.
HorizontalBarMarker(VPoint, int, Color) - Constructor for class jsc.swt.plot2d.HorizontalBarMarker: Creates the marker with default stroke style.
HorizontalBarMarker(VPoint, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.HorizontalBarMarker: Creates the marker.
HorizontalBars - class jsc.swt.virtualgraphics.HorizontalBars.: This class represents an array of horizontal bars drawn as rectangles in a virtual coordinate system.
HorizontalBars(VPoint[], double) - Constructor for class jsc.swt.virtualgraphics.HorizontalBars: Creates the array of bars using an array of points that specify the.
HorizontalTickMark - class jsc.swt.plot2d.HorizontalTickMark.: This class represents a horizontal tick mark and its graphical attributes.
HorizontalTickMark(VPoint) - Constructor for class jsc.swt.plot2d.HorizontalTickMark: Creates the tick mark with default size, default colour and default stroke style.
HorizontalTickMark(VPoint, int) - Constructor for class jsc.swt.plot2d.HorizontalTickMark: Creates the tick mark with default colour and default stroke style.
HorizontalTickMark(VPoint, int, Color) - Constructor for class jsc.swt.plot2d.HorizontalTickMark: Creates the tick mark with default stroke style.
HorizontalTickMark(VPoint, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.HorizontalTickMark: Creates the tick mark.
HotellingPabstS - class jsc.distributions.HotellingPabstS.: This class represents the exact null distribution of the Hotelling-Pabst test statistic.
HotellingPabstS(int) - Constructor for class jsc.distributions.HotellingPabstS: Create distribution for given sample size.
Hypergeometric - class jsc.distributions.Hypergeometric.: This class represents a hypergeometric distribution.
Hypergeometric(int, int, int) - Constructor for class jsc.distributions.Hypergeometric: Create a hypergeometric distribution.

I

IllegalCharactersField - class jsc.swt.control.IllegalCharactersField.: This is a text field that allows only characters that are not specified illegal characters to be typed or pasted in.
IllegalCharactersField.IllegalCharactersDocument - class jsc.swt.control.IllegalCharactersField.IllegalCharactersDocument.
IllegalCharactersField.IllegalCharactersDocument() - Constructor for class jsc.swt.control.IllegalCharactersField.IllegalCharactersDocument
IllegalCharactersField(int, String) - Constructor for class jsc.swt.control.IllegalCharactersField: Create the field with specified number of columns and string of illegal characters.
ImanConoverMonotonic - class jsc.regression.ImanConoverMonotonic.: This class calculates and stores the Iman-Conover monotonic regression for an array of n data pairs (x,y).
ImanConoverMonotonic(PairedData) - Constructor for class jsc.regression.ImanConoverMonotonic: Creates the estimate from paired data x and y.
incompleteBeta(double, double, double, double) - Static method in class jsc.distributions.Beta: Computes the incomplete beta function ratio for arguments x, p, q.
incompleteGamma(double, double) - Static method in class jsc.distributions.Gamma: Returns the value of the incomplete gamma integral.
incrementSize() - Method in class jsc.mathfunction.CodeList: Increase the size of the code list by 1 and return the new size.
indexOf(double) - Method in class jsc.descriptive.DoubleTally: Returns the index of the value.
indexOf(int) - Method in class jsc.descriptive.Tally: If the given value is in the range min to max, returns the index (from 0 to k-1) of the bin for the value; otherwise returns -1.
indexOf(String) - Method in class jsc.datastructures.GroupedData: Returns index of the group with the specified label.
indexOf(String) - Method in class jsc.descriptive.CategoricalTally: Returns the index of the bin/label for a given value.
indexOfBlock(String) - Method in class jsc.datastructures.MatchedData: Returns index of the block with the specified label.
indexOfColumn(String) - Method in class jsc.contingencytables.ContingencyTable: Returns index of the column with the specified label.
indexOfD - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Index of ordered x value corresponding to statistic D.
indexOfD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Index of ordered x value corresponding to the Kolmogorov D-statistic: the maximum absolute deviation, |S(x)-F(x)|.
indexOfNegativeD - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Index of ordered x value corresponding to statistic D-.
indexOfNegativeD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Index of ordered x value corresponding to the Kolmogorov D-statistic: the maximum negative deviation, F(x)-S(x).
indexOfPositiveD - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Index of ordered x value corresponding to statistic D+.
indexOfPositiveD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Index of ordered x value corresponding to the Kolmogorov D-statistic: the maximum positive deviation, S(x)-F(x).
indexOfRow(String) - Method in class jsc.contingencytables.ContingencyTable: Returns index of the row with the specified label.
indexOfString(String) - Method in class jsc.util.CaseInsensitiveVector: Returns the index of the first object in the vector that matches a given string.
indexOfTreatment(String) - Method in class jsc.datastructures.MatchedData: Returns index of the treatment with the specified label.
IniFiles - class jsc.swt.util.IniFiles.: This class implements INI files.
IniFiles(String) - Constructor for class jsc.swt.util.IniFiles: Creates the object with the given file name.
insertColumn() - Method in class jsc.swt.datatable.DataTable: Insert a blank column before the current editing column.
insertColumn(int) - Method in class jsc.swt.datatable.DataModel: Insert a new column before column c.
insertColumn(int) - Method in class jsc.swt.datatable.DataMatrix: Insert a new column before column c.
insertRow() - Method in class jsc.swt.datatable.DataTable: Insert a blank row before the current editing row.
insertRow(int) - Method in class jsc.swt.datatable.DataModel: Insert a new row after row r.
insertRow(int) - Method in class jsc.swt.datatable.DataMatrix: Insert a new row before row r.
insertString(int, String) - Method in class jsc.swt.text.StatisticalDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.control.RealField.RealNumberDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.control.PosRealField.RealNumberDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.control.PosIntegerField.WholeNumberDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.control.LegalCharactersField.LegalCharactersDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.control.IntegerField.WholeNumberDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.control.IllegalCharactersField.IllegalCharactersDocument
insertString(int, String, AttributeSet) - Method in class jsc.swt.text.StatisticalDocument: This method is just over-ridden to ignore BadLocationExceptions.
insertValue(Object, int, int) - Method in class jsc.swt.datatable.DataTable: Insert value into a column of table.
insertValue(Object, int, int) - Method in class jsc.swt.datatable.DataModel: Insert value into a column of table.
insertValue(Object, int, int) - Method in class jsc.swt.datatable.DataMatrix: Insert a value into a column.
INT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Integer part of argument, truncating towards zero.
INT - Static variable in class jsc.mathfunction.StandardMathFunction: Integer part of argument, truncating towards zero.
IntegerComboBox - class jsc.swt.control.IntegerComboBox.: This is a combo box control customized for selecting from a range of integers.
IntegerComboBox(int, int, int) - Constructor for class jsc.swt.control.IntegerComboBox: Create the control for the specified range of integers.
IntegerField - class jsc.swt.control.IntegerField.: This is a text field that allows only valid integers to be typed or pasted in.
IntegerField.WholeNumberDocument - class jsc.swt.control.IntegerField.WholeNumberDocument.
IntegerField.WholeNumberDocument() - Constructor for class jsc.swt.control.IntegerField.WholeNumberDocument
IntegerField(int, int) - Constructor for class jsc.swt.control.IntegerField: Create the field with specified number of columns and displaying the given value.
IntegerFormat - class jsc.swt.text.IntegerFormat.: This class formats integer numbers.
IntegerFormat() - Constructor for class jsc.swt.text.IntegerFormat: Constructor for formatting integer numbers in the default locale.
IntegerFormat(Locale) - Constructor for class jsc.swt.text.IntegerFormat: Constructor for formatting integer numbers in the specified locale.
IntegerListener - class jsc.swt.control.IntegerListener.: Deprecated. Do not use this with Swing components. Use JIntegerListener with Swing components. IntegerField is preferable.
IntegerListener() - Constructor for class jsc.swt.control.IntegerListener: Deprecated.
IntegerLogSlider - class jsc.swt.control.IntegerLogSlider.: This class represents a horizontal slider for integer values on a logarithmic scale.
IntegerLogSlider(int, int, int, int, int[]) - Constructor for class jsc.swt.control.IntegerLogSlider: Creates a logarithmic slider for selecting positive integer values.
IntegerSlider - class jsc.swt.control.IntegerSlider.: This class represents a horizontal slider for selecting integer values.
IntegerSlider(int, int, int, int, int) - Constructor for class jsc.swt.control.IntegerSlider: Creates horizontal slider for selecting integer values.
integrate(Function, double, double, boolean, double, int) - Static method in class jsc.numerical.Integration: Automatic numerical integration.
IntegratingFunction - interface jsc.numerical.IntegratingFunction.: Defines an interface for an integrating function in numerical integration.
Integration - class jsc.numerical.Integration.: This class provides static methods for numerical integration (quadrature).
intersects(double, double, double, double) - Method in class jsc.swt.virtualgraphics.Path
intersects(Rectangle2D) - Method in class jsc.swt.virtualgraphics.Path
inverseCdf(double) - Method in class jsc.distributions.Weibull: Calculates the inverse of distribution.
inverseCdf(double) - Method in class jsc.distributions.Uniform: Returns the value of x such that Prob(X <= x) = p.
inverseCdf(double) - Method in class jsc.distributions.StudentsT: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.PowerFunction: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.Poisson: Calculates the inverse of Poisson distribution.
inverseCdf(double) - Method in class jsc.distributions.Pareto: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.Normal: Calculates the inverse of the normal distribution.
inverseCdf(double) - Method in class jsc.distributions.NoncentralStudentsT: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.NoncentralFishersF: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.NoncentralChiSquared: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.NoncentralBeta: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.NegativeBinomial: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.Lognormal: Calculates the inverse of the lognormal distribution.
inverseCdf(double) - Method in class jsc.distributions.Logistic: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.LogarithmicSeries: Calculates the inverse of the cdf.
inverseCdf(double) - Method in class jsc.distributions.Laplace: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.Geometric1: Calculates the inverse of distribution.
inverseCdf(double) - Method in class jsc.distributions.Geometric: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.Gamma: Returns the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.FishersF: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.ExtremeValue: Calculates the inverse of the distribution.
inverseCdf(double) - Method in class jsc.distributions.ExtendedHypergeometric: Returns the inverse of the distribution function.
inverseCdf(double) - Method in class jsc.distributions.Exponential: Returns the inverse of the distribution.
inverseCdf(double) - Method in interface jsc.distributions.Distribution: Returns the inverse of the distribution function.
inverseCdf(double) - Method in class jsc.distributions.DiscreteUniform: Returns the value of x such that Prob(X <= x) = p.
inverseCdf(double) - Method in class jsc.distributions.Discrete: Calculates the smallest value of x such that Prob(X <= x) >= p is true.
inverseCdf(double) - Method in class jsc.distributions.ChiSquared: Returns the inverse of distribution.
inverseCdf(double) - Method in class jsc.distributions.Cauchy: Returns the inverse of distribution.
inverseCdf(double) - Method in class jsc.distributions.Binomial: Returns the inverse of binomial distribution.
inverseCdf(double) - Method in class jsc.distributions.Beta: Returns the inverse of distribution.
inverseCdf(double) - Method in class jsc.distributions.Bernoulli: Returns the variate-value x such that Prob(X <= x) = q.
inverseCdf(double) - Method in class jsc.distributions.AbstractDistribution: Returns the rth moment about an arbitrary point, a.
inverseCdf(double) - Method in class jsc.distributions.AbstractDiscreteDistribution: Calculates the inverse of the distribution function.
inverseCdf(double) - Method in class jsc.distributions.AbstractContinuousDistribution: Calculate the inverse of the distribution function.
inverseCdf(double, double, double) - Static method in class jsc.distributions.ChiSquared: Returns the inverse of a chi-squared distribution.
inverseIncompleteBeta(double, double, double, double) - Static method in class jsc.distributions.Beta: Returns the inverse of the incomplete beta function ratio.
inverseStandardCdf(double) - Static method in class jsc.distributions.Normal: Calculates the inverse of the standard normal distribution.
IrregularFrequencyTable - class jsc.descriptive.IrregularFrequencyTable.: This class represents a table of frequencies with arbitrary interval boundaries.
IrregularFrequencyTable(String, double[]) - Constructor for class jsc.descriptive.IrregularFrequencyTable: Creates an empty frequency table with given boundaries.
IrregularFrequencyTable(String, double[], double[]) - Constructor for class jsc.descriptive.IrregularFrequencyTable: Creates the frequency table with given interval boundaries from an array of data.
IrregularFrequencyTable(String, double[], int[]) - Constructor for class jsc.descriptive.IrregularFrequencyTable: Creates the frequency table with given boundaries using frequencies supplied in array f.
isAmbiguous(int) - Method in class jsc.mathfunction.StatisticalMathFunction: Returns true if c is the code of an ambiguous token.
isAmbiguous(int) - Method in class jsc.mathfunction.StandardMathFunction: Returns true if c is the code of an ambiguous token.
isAmbiguous(int) - Method in class jsc.mathfunction.AbstractMathFunction: Returns true if the code is that of an ambiguous token.
isAntialiased() - Method in class jsc.swt.plot2d.PlotPanel: Returns true (false) if antialiasing is on (off).
isCellEditable(int, int) - Method in class jsc.swt.datatable.RecodeModel
isCellEditable(int, int) - Method in class jsc.swt.datatable.DataModel: Returns true if specified cell of table is editable.
isChanged() - Method in class jsc.swt.datatable.DataWindow: Returns true if data has changed.
isChanged() - Method in class jsc.swt.datatable.DataTable: Returns true if data has changed.
isChanged() - Method in class jsc.swt.datatable.DataModel: Returns true if data has changed.
isChanged() - Method in class jsc.swt.file.AppFileActions: Returns the changed status of the file.
isChanged() - Method in class jsc.swt.mdi.MDIWindow: Returns true if window has changed.
isChanged() - Method in class jsc.swt.plot2d.SplinePlot2D: Returns true if curve has been changed since object was created or since last call to setChanged(false);
isColumnDataDouble(int) - Method in class jsc.swt.datatable.DataTable: Are non-null data in column c all double?
isColumnDataDouble(int) - Method in class jsc.swt.datatable.DataModel: Are data in column c all double?
isColumnDataDouble(int) - Method in class jsc.swt.datatable.DataMatrix: Can all non-null values in column be converted to double?
isColumnDataInteger(int) - Method in class jsc.swt.datatable.DataTable: Are non-null data in column c all positive integers?
isColumnDataInteger(int) - Method in class jsc.swt.datatable.DataModel: Are data in column c all positive integers?
isColumnDataInteger(int) - Method in class jsc.swt.datatable.DataMatrix: Can all non-null values in column be converted to positive integers?
isConstant(double[]) - Static method in class jsc.util.Arrays: Returns true if all the elements in a double array have the same value.
isConstant(int[]) - Static method in class jsc.util.Arrays: Returns true if all the elements in an integer array have the same value.
isDiscrete() - Method in class jsc.distributions.Poisson: Returns true indicating that the distribution is discrete.
isDiscrete() - Method in class jsc.distributions.NegativeBinomial: Returns true indicating that the distribution is discrete.
isDiscrete() - Method in class jsc.distributions.LogarithmicSeries: Returns true indicating that the distribution is discrete.
isDiscrete() - Method in class jsc.distributions.Geometric1: Returns true indicating that the distribution is discrete.
isDiscrete() - Method in class jsc.distributions.Geometric: Returns true indicating that the distribution is discrete.
isDiscrete() - Method in interface jsc.distributions.Distribution: Returns true if the distribution is discrete.
isDiscrete() - Method in class jsc.distributions.Discrete: Returns true indicating that the distribution is discrete.
isDiscrete() - Method in class jsc.distributions.AbstractDistribution: Returns false indicating that the distribution is continuous.
isDiscrete() - Method in class jsc.distributions.AbstractDiscreteDistribution: Returns true indicating that the distribution is discrete.
isEmpty() - Method in class jsc.swt.plot2d.PlotPanel: Returns true if no objects are plotted; false otherwise.
isExtensionListInDescription() - Method in class jsc.swt.file.ExampleFileFilter: Returns whether the extension list (.jpg, .gif, etc) should show up in the human readable description.
isFilled() - Method in class jsc.swt.plot2d.PlotShape: Returns true if this object should be filled.
isFilled() - Method in class jsc.swt.plot2d.Marker: Returns true if this marker's shape should be filled when drawn.
isFocusable() - Method in class jsc.swt.control.DisplayField: Returns false so that the field does not receive focus.
isIntegers(double[]) - Static method in class jsc.util.Arrays: Returns true if all the elements in a double array have integer values.
isNameInUse(int, String) - Method in class jsc.swt.datatable.DataTable: Return true if new name is already the name of a column, other than column col.
isNegative() - Method in class jsc.swt.control.IntegerField: Returns true if the first character in the field is the minus sign.
isNoneNegativeInteger(double) - Static method in class jsc.util.Maths: Returns true if x is zero or has a positive integer value.
isPositiveInteger(double) - Static method in class jsc.util.Maths: Returns true if x has a positive integer value.
isTextAntialiased() - Method in class jsc.swt.plot2d.PlotPanel: Returns true (false) if text antialiasing is on (off).
isVersionOK() - Static method in class jsc.Utilities: Check the version of the Java Virtual Machine is OK for running JSC classes.
isVersionOK(Component) - Static method in class jsc.Utilities: Check the version of the Java Virtual Machine is OK for running JSC classes.
italic() - Method in class jsc.swt.text.StatisticalDocument
italic(String) - Method in class jsc.swt.text.StatisticalDocument

J

JIntegerListener - class jsc.swt.control.JIntegerListener.: Deprecated. IntegerField is preferable.
JIntegerListener() - Constructor for class jsc.swt.control.JIntegerListener: Deprecated.
JNumberListener - class jsc.swt.control.JNumberListener.: This class is a base class for listener interfaces for typing numbers into JTextField objects.
JNumberListener() - Constructor for class jsc.swt.control.JNumberListener
JonckheereTest - class jsc.independentsamples.JonckheereTest.: Jonckheere test for differences between independent samples.
JonckheereTest(GroupedData, String[]) - Constructor for class jsc.independentsamples.JonckheereTest: Create significance test results.
JonckheereTest(GroupedData, String[], double, boolean) - Constructor for class jsc.independentsamples.JonckheereTest: Create significance test results.
JPosIntegerListener - class jsc.swt.control.JPosIntegerListener.: Deprecated. PosIntegerField is preferable.
JPosIntegerListener() - Constructor for class jsc.swt.control.JPosIntegerListener: Deprecated.
JPosRealListener - class jsc.swt.control.JPosRealListener.: Deprecated. PosRealField is preferable.
JPosRealListener() - Constructor for class jsc.swt.control.JPosRealListener: Deprecated.
JRealListener - class jsc.swt.control.JRealListener.: Deprecated. RealField is preferable.
JRealListener() - Constructor for class jsc.swt.control.JRealListener: Deprecated.
jsc - package jsc: Provides classes to support the development of statistical software.
jsc.ci - package jsc.ci: Provides classes and interfaces concerned with confidence intervals.
jsc.combinatorics - package jsc.combinatorics: Provides combinatorial objects and algorithms that are useful in probability and statistics.
jsc.contingencytables - package jsc.contingencytables: Provides classes concerned with the analysis of contingency tables.
jsc.correlation - package jsc.correlation: Provides classes to calculate and test correlation coefficients.
jsc.curvefitting - package jsc.curvefitting: Provides classes to fit curves to data.
jsc.datastructures - package jsc.datastructures: Provides classes for some data structures useful in statistics.
jsc.descriptive - package jsc.descriptive: Provides classes to calculate descriptive statistics.
jsc.distributions - package jsc.distributions: Provides classes to represent statistical distributions.
jsc.event - package jsc.event: Provides classes and interfaces that define statistical and sampling events.
jsc.goodnessfit - package jsc.goodnessfit: Provides classes to calculate and test goodness-of-fit.
jsc.independentsamples - package jsc.independentsamples: Provides classes and interfaces concerned with frequentist inference for independent samples.
jsc.mathfunction - package jsc.mathfunction: Provides classes for the parsing, evaluation and differentiation of mathematical expressions at run-time.
jsc.numerical - package jsc.numerical: Provides classes to implement various numerical methods.
jsc.onesample - package jsc.onesample: Provides classes and interfaces concerned with frequentist inference for single samples, or paired samples that can be reduced to single samples by taking differences.
jsc.regression - package jsc.regression: Provides classes to perform regression analyses.
jsc.relatedsamples - package jsc.relatedsamples: Provides classes and interfaces concerned with frequentist inference for related samples.
jsc.statistics - package jsc.statistics: Provides interfaces that define various statistics.
jsc.swt - package jsc.swt: Statistical Windowing Toolkit provides classes to support the building of graphical user interfaces for statistical applications.
jsc.swt.accessory - package jsc.swt.accessory: Provides classes to create user interface accessories for statistical applications.
jsc.swt.control - package jsc.swt.control: Provides classes to create various user controls for statistical applications.
jsc.swt.datatable - package jsc.swt.datatable: Provides classes to enter, edit and display tabular data and output.
jsc.swt.dialogue - package jsc.swt.dialogue: Provides classes to create dialogue windows for statistical applications.
jsc.swt.file - package jsc.swt.file: Provides classes that support file handling for statistical applications.
jsc.swt.help - package jsc.swt.help: Provides classes to create help windows for statistical applications.
jsc.swt.mdi - package jsc.swt.mdi: Provides classes to create applications with multiple document interfaces.
jsc.swt.menu - package jsc.swt.menu: Provides classes to create various common menus and menu items for statistical applications.
jsc.swt.panel - package jsc.swt.panel: Provides classes to create various panels.
jsc.swt.plot - package jsc.swt.plot: Provides classes and interfaces that support plotting.
jsc.swt.plot2d - package jsc.swt.plot2d: Provides classes to create various plots.
jsc.swt.text - package jsc.swt.text: Provides classes for handling text and numbers.
jsc.swt.util - package jsc.swt.util: Provides various classes to support statistical applications.
jsc.swt.virtualgraphics - package jsc.swt.virtualgraphics: Provides classes to enable drawing and plotting in a virtual (world) co-ordinate system.
jsc.tests - package jsc.tests: Provides classes and interfaces concerned with significance tests.
jsc.util - package jsc.util: Provides various methods to support statistical calculations and plotting.

K

k - Variable in class jsc.distributions.RankSumOfSquares: Number of objects.
KendallCorrelation - class jsc.correlation.KendallCorrelation.: Kendall rank correlation coefficient.
KendallCorrelation(PairedData) - Constructor for class jsc.correlation.KendallCorrelation: Calculates the Kendall correlation coefficient and significance probability.
KendallCorrelation(PairedData, H1) - Constructor for class jsc.correlation.KendallCorrelation: Calculates the Kendall correlation coefficient and significance probability.
KendallCorrelation(PairedData, H1, double) - Constructor for class jsc.correlation.KendallCorrelation: Calculates the Kendall correlation coefficient and significance probability.
keyCodeToDigit(int) - Static method in class jsc.Utilities: Returns the value, from zero to 9, corresponding to a virtual key code from VK_0 to VK_9 defined in class KeyEvent.
keyTyped(KeyEvent) - Method in class jsc.swt.control.RealListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.PosRealListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.PosIntegerListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.JRealListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.JPosRealListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.JPosIntegerListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.JIntegerListener: Deprecated.
keyTyped(KeyEvent) - Method in class jsc.swt.control.IntegerListener: Deprecated.
KolmogorovCB - class jsc.goodnessfit.KolmogorovCB.: Kolmogorov-Smirnov confidence band for the distribution function of a continuous variable.
KolmogorovCB(double[]) - Constructor for class jsc.goodnessfit.KolmogorovCB: Create confidence band from a sample of data.
KolmogorovCB(double[], double, boolean) - Constructor for class jsc.goodnessfit.KolmogorovCB: Create confidence band from a sample of data.
KolmogorovCB(SampleDistributionFunction, double, boolean) - Constructor for class jsc.goodnessfit.KolmogorovCB: Create confidence band from a sample distribution function.
KolmogorovTest - class jsc.goodnessfit.KolmogorovTest.: Kolmogorov-Smirnov goodness-of-fit test (for completely specified distributions).
KolmogorovTest(double[], Distribution) - Constructor for class jsc.goodnessfit.KolmogorovTest: Create significance test results from an array of data and specified distribution for the null hypothesis.
KolmogorovTest(double[], Distribution, H1) - Constructor for class jsc.goodnessfit.KolmogorovTest: Create significance test results from an array of data and specified distribution for the null hypothesis.
KolmogorovTest(double[], Distribution, H1, boolean) - Constructor for class jsc.goodnessfit.KolmogorovTest: Create significance test results from a sample of data and specified distribution for the null hypothesis.
KolmogorovTypeTest - class jsc.goodnessfit.KolmogorovTypeTest.: Superclass for Kolmogorov-Smirnov type goodness-of-fit one-sample tests.
KolmogorovTypeTest(double[], Distribution) - Constructor for class jsc.goodnessfit.KolmogorovTypeTest: Create the sample distribution function S(x) and Kolmogorov D-statistics from a sample of data and specified distribution F(x) for the null hypothesis.
KolmogorovTypeTest(double[], Distribution, H1) - Constructor for class jsc.goodnessfit.KolmogorovTypeTest: Create the sample distribution function S(x) and Kolmogorov D-statistics from a sample of data and specified distribution F(x) for the null hypothesis.
KruskalWallisH - class jsc.distributions.KruskalWallisH.: This class represents the exact null distribution of the Kruskal-Wallis H statistic.
KruskalWallisH(int[]) - Constructor for class jsc.distributions.KruskalWallisH: Create a Kruskal-Wallis's H distribution for given sample sizes.
KruskalWallisTest - class jsc.independentsamples.KruskalWallisTest.: This class represents a Kruskal-Wallis test.
KruskalWallisTest(GroupedData) - Constructor for class jsc.independentsamples.KruskalWallisTest: Create significance test results.
KruskalWallisTest(GroupedData, double, boolean) - Constructor for class jsc.independentsamples.KruskalWallisTest: Create significance test results.

L

label - Variable in class jsc.swt.control.PosIntegerLabelledField: Deprecated. The label part of the control.
LabelledXaxisPlot - class jsc.swt.plot2d.LabelledXaxisPlot.: This class represents a plot in which an array of n label strings are equally spaced along the horizontal axis.
LabelledXaxisPlot(String, String, String[], Color, Font, AxisModel) - Constructor for class jsc.swt.plot2d.LabelledXaxisPlot: Creates the plot with given title, name for X axis, labels for X axis, colour and font of the labels, and an AxisModel object for the vertical Y axis.
labels - Variable in class jsc.descriptive.CategoricalTally: Labels for categories.
Laplace - class jsc.distributions.Laplace.: This class represents a Laplace (double exponential) distribution.
Laplace() - Constructor for class jsc.distributions.Laplace: Create a Laplace distribution having mean 0 and scale parameter 1.
Laplace(double, double) - Constructor for class jsc.distributions.Laplace: Create a Laplace distribution with specified mean and scale parameters.
LargeSampleMeanCI - class jsc.onesample.LargeSampleMeanCI.: Approximate confidence interval for the mean of a distribution.
LargeSampleMeanCI(double[], double) - Constructor for class jsc.onesample.LargeSampleMeanCI: Create approximate large sample confidence interval for mean of a distribution.
LargeSampleProportionCI - class jsc.onesample.LargeSampleProportionCI.: This class represents an approximate confidence interval for a proportion p, obtained by observing x successes in a sequence of n independent Bernoulli trials with probability p.
LargeSampleProportionCI(long, long, double) - Constructor for class jsc.onesample.LargeSampleProportionCI: Create approximate large sample confidence interval for a proportion p.
LE - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator: symbol <=.
LEFT - Static variable in class jsc.swt.plot2d.PlotText: Orientation value: text is to the left of its anchor point.
LegalCharactersField - class jsc.swt.control.LegalCharactersField.: This is a text field that allows only specified legal characters to be typed or pasted in.
LegalCharactersField.LegalCharactersDocument - class jsc.swt.control.LegalCharactersField.LegalCharactersDocument.
LegalCharactersField.LegalCharactersDocument() - Constructor for class jsc.swt.control.LegalCharactersField.LegalCharactersDocument
LegalCharactersField(int, String) - Constructor for class jsc.swt.control.LegalCharactersField: Create the field with specified number of columns and string of legal characters.
length() - Method in interface jsc.combinatorics.Selection: Returns the number of objects in the selection.
length() - Method in class jsc.combinatorics.Permutation: Returns the number of objects in the permutation.
length() - Method in class jsc.combinatorics.MultiSetPermutation: Returns the total number of objects.
length() - Method in class jsc.util.BitVector: Returns the number of bits, n.
lengthOf(int) - Static method in class jsc.Utilities: Returns the number of characters in an integer number.
LESS_THAN - Static variable in class jsc.tests.H1: Indicates a one-sided test in which the alternative hypothesis is in some sense "less than" compared to the null hypothesis.
LETTER_LABELS - Static variable in class jsc.descriptive.CategoricalTally: This can be used as the labels argument to the constructor when the labels are the 26 letters of the western alphabet in upper case.
LinearAxisModel - class jsc.swt.plot.LinearAxisModel.: This class describes a linear axis drawn on a plot.
LinearAxisModel() - Constructor for class jsc.swt.plot.LinearAxisModel: Creates a default axis with minimum 0, maximum 1 and two tick marks.
LinearAxisModel(String, Scale, RealFormat) - Constructor for class jsc.swt.plot.LinearAxisModel: Creates the axis.
LinearAxisModel(String, Scale, String) - Constructor for class jsc.swt.plot.LinearAxisModel: Creates the axis.
LinearCorrelation - class jsc.correlation.LinearCorrelation.: Sample linear (Pearson product-moment) correlation coefficient.
LinearCorrelation(PairedData) - Constructor for class jsc.correlation.LinearCorrelation: Calculates the sample correlation coefficient, significance test and 95% confidence interval.
LinearCorrelation(PairedData, double) - Constructor for class jsc.correlation.LinearCorrelation: Calculates the sample correlation coefficient, significance test and 95% confidence interval.
LinearCorrelation(PairedData, double, H1) - Constructor for class jsc.correlation.LinearCorrelation: Calculates the sample correlation coefficient, significance test and 95% confidence interval.
LinearCorrelation(PairedData, double, H1, double) - Constructor for class jsc.correlation.LinearCorrelation: Calculates the sample correlation coefficient, significance test and confidence interval.
LineBars - class jsc.swt.virtualgraphics.LineBars.: This class represents an array of vertical bars drawn as lines in a virtual coordinate system.
LineBars(VPoint[]) - Constructor for class jsc.swt.virtualgraphics.LineBars: Creates the array of bars using an array of points that specify the top of the bars.
LineFit - class jsc.curvefitting.LineFit.: Least squares fitted straight line.
LineFit(PairedData) - Constructor for class jsc.curvefitting.LineFit: Creates the least squares estimate from arrays x and y.
LineFit(PairedData, double[]) - Constructor for class jsc.curvefitting.LineFit: Creates the least squares estimate from paired data (x,y) and weights w.
LineFitThruOrigin - class jsc.curvefitting.LineFitThruOrigin.: Least squares fitted straight line through the origin.
LineFitThruOrigin(PairedData) - Constructor for class jsc.curvefitting.LineFitThruOrigin: Creates the least squares estimate from paired data (x,y).
lineTo(double, double) - Method in class jsc.swt.virtualgraphics.Path: Adds a point to the path by drawing a straight line from the current co-ordinates to the new specified co-ordinates.
lineTo(VPoint) - Method in class jsc.swt.virtualgraphics.Polyline: Adds a point to the polyline by drawing a straight line from the current (last) point to the new point.
lnB(double, double) - Static method in class jsc.util.Maths: Returns the natural log of the complete beta function, B(p,q).
load() - Method in class jsc.swt.util.PropertiesFile: Loads the properties from the file into the property list and then closes the file.
load(String) - Method in class jsc.swt.util.PropertiesFile: Loads properties from a new file into the property list and then closes the file.
loadIni() - Method in class jsc.swt.util.IniFiles: Loads the INI file into the object and then closes the file.
loadIni(String) - Method in class jsc.swt.util.IniFiles: Loads another INI file into the object and then closes the file.
LOG - Static variable in class jsc.mathfunction.StatisticalMathFunction: Natural log function.
LOG - Static variable in class jsc.mathfunction.StandardMathFunction: Natural log function.
LOG_GAMMA - Static variable in class jsc.mathfunction.StatisticalMathFunction: Log gamma function.
log(double) - Method in class jsc.util.Logarithm: Returns logarithm of x to specified base.
log(double[]) - Static method in class jsc.util.Arrays: Returns the natural logarithms of the elements of an array.
LOG10 - Static variable in class jsc.swt.datatable.DataTable: Indicates common log transformation of values in a column of the table.
LOG10 - Static variable in class jsc.util.Maths: Natural log of 10.
log10(double) - Static method in class jsc.util.Maths: Returns logarithm of x to base 10.
LOG2 - Static variable in class jsc.util.Maths: Natural log of 2.
log2(double) - Static method in class jsc.util.Maths: Returns logarithm of x to base 2.
Logarithm - class jsc.util.Logarithm.: This class provides logarithms and antilogarithms to a specified base.
Logarithm(double) - Constructor for class jsc.util.Logarithm: Create logarithm object for specified base.
LogarithmicSeries - class jsc.distributions.LogarithmicSeries.: This class represents a logarithmic series distribution.
LogarithmicSeries(double) - Constructor for class jsc.distributions.LogarithmicSeries: Create a logarithmic series distribution having parameter alpha.
logBinomialCoefficient(long, long) - Static method in class jsc.util.Maths: Returns the natural logarithm of the binomial coefficient.
LOGE - Static variable in class jsc.swt.datatable.DataTable: Indicates natural log transformation of values in a column of the table.
logFactorial(long) - Static method in class jsc.util.Maths: Returns the natural logarithm of the factorial of integer n.
logGamma(double) - Static method in class jsc.util.Maths: Returns the natural logarithm of the gamma function.
Logistic - class jsc.distributions.Logistic.: This class represents a Logistic distribution.
Logistic() - Constructor for class jsc.distributions.Logistic: Create a logistic distribution having mean 0 and scale parameter 1.
Logistic(double, double) - Constructor for class jsc.distributions.Logistic: Create a logistic distribution with specified mean and scale parameters.
logMultinomialCoefficient(int[]) - Static method in class jsc.util.Maths: Returns the natural logarithm of the multinomial coefficient.
Lognormal - class jsc.distributions.Lognormal.: This class represents a lognormal distribution.
Lognormal() - Constructor for class jsc.distributions.Lognormal: Create a lognormal distribution with location parameter 0 and scale parameter 1.
Lognormal(double, double) - Constructor for class jsc.distributions.Lognormal: Create a lognormal distribution with specified location and scale parameters.
LookAndFeelMenu - class jsc.swt.menu.LookAndFeelMenu.: This class implements a menu for selecting the "look & feel" of an application.
LookAndFeelMenu(Component) - Constructor for class jsc.swt.menu.LookAndFeelMenu: Create the menu for the given parent window.
LOWER - Static variable in class jsc.distributions.Tail: Indicates the lower tail of the distribution.
lowerLimit - Variable in class jsc.ci.AbstractConfidenceInterval: Lower confidence limit.
lowerTailProb(int, int) - Static method in class jsc.correlation.KendallCorrelation: Lower tail probability of Theil's statistic T.
lowerTailProb(int, int, boolean) - Static method in class jsc.distributions.HotellingPabstS: Lower tail probability of S.
LpNormFit - class jsc.curvefitting.LpNormFit.: Lp norm fitted straight line.
LpNormFit(double, PairedData, double, int) - Constructor for class jsc.curvefitting.LpNormFit: Fit the Lp norm line to data.
LT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator: symbol <.

M

MannWhitneyMedianDifferenceCI - class jsc.independentsamples.MannWhitneyMedianDifferenceCI.: Confidence interval for median difference between two independent samples.
MannWhitneyMedianDifferenceCI(double[], double[], double) - Constructor for class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Create confidence interval.
MannWhitneyMedianDifferenceCI(double[], double[], double, int) - Constructor for class jsc.independentsamples.MannWhitneyMedianDifferenceCI: Create confidence interval.
MannWhitneyTest - class jsc.independentsamples.MannWhitneyTest.: This class represents a Mann-Whitney test.
MannWhitneyTest(double[], double[]) - Constructor for class jsc.independentsamples.MannWhitneyTest: Create significance test results.
MannWhitneyTest(double[], double[], H1) - Constructor for class jsc.independentsamples.MannWhitneyTest: Create significance test results.
MannWhitneyTest(double[], double[], H1, double, boolean) - Constructor for class jsc.independentsamples.MannWhitneyTest: Create significance test results.
MannWhitneyU - class jsc.distributions.MannWhitneyU.: This class represents the null distribution of Mann-Whitney's U-statistic (no ties).
MannWhitneyU(int, int) - Constructor for class jsc.distributions.MannWhitneyU: Create a Mann-Whitney U distribution for given sample sizes.
Marker - class jsc.swt.plot2d.Marker.: This abstract class represents a marker and its graphical attributes.
Marker(VPoint) - Constructor for class jsc.swt.plot2d.Marker: Creates the marker with default size, default colour and default stroke style.
Marker(VPoint, int) - Constructor for class jsc.swt.plot2d.Marker: Creates the marker with default colour and default stroke style.
Marker(VPoint, int, Color) - Constructor for class jsc.swt.plot2d.Marker: Creates the marker with default stroke style.
Marker(VPoint, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.Marker: Creates the marker.
MarkerTypeMenu - class jsc.swt.plot2d.MarkerTypeMenu.: This class implements a menu for selecting standard types of marker.
MarkerTypeMenu(String, int, ActionListener) - Constructor for class jsc.swt.plot2d.MarkerTypeMenu: Create the menu.
MatchedData - class jsc.datastructures.MatchedData.: This class represents several samples of matched (related) data.
MatchedData(double[][]) - Constructor for class jsc.datastructures.MatchedData: Construct the matched data structure.
MatchedData(double[][], int[], int[]) - Constructor for class jsc.datastructures.MatchedData: Construct the matched data structure.
MatchedData(double[][], String[], String[]) - Constructor for class jsc.datastructures.MatchedData: Construct the matched data structure.
MatchedData(double[], int[], int[]) - Constructor for class jsc.datastructures.MatchedData: Construct the matched data structure.
MatchedData(double[], String[], String[]) - Constructor for class jsc.datastructures.MatchedData: Construct the matched data structure.
MathFunctionException - exception jsc.mathfunction.MathFunctionException.: Signals that a parsing or evaluation error of some sort has occurred in an object derived from the AbstractMathFunction class.
MathFunctionException() - Constructor for class jsc.mathfunction.MathFunctionException: Constructs an MathFunctionException with no specified detail message.
MathFunctionException(String) - Constructor for class jsc.mathfunction.MathFunctionException: Constructs an MathFunctionException with the specified detail message.
MathFunctionVariables - interface jsc.mathfunction.MathFunctionVariables.: An interface for variables used by class AbstractMathFunction.
Maths - class jsc.util.Maths.: This class provides some mathematical functions and constants.
MAX_PERMUTATION_COUNT - Static variable in class jsc.independentsamples.KruskalWallisTest: Maximum number of permutations of ranks in calculation of exact SP.
MAX_PRODUCT - Static variable in class jsc.distributions.WilcoxonT
MAX_PRODUCT - Static variable in class jsc.distributions.MannWhitneyU: Maximum product of sample sizes.
max(double[]) - Static method in class jsc.util.Arrays: Returns maximum value in an array of double values.
maxValue - Variable in class jsc.distributions.Discrete: Range of variate.
maxValue - Variable in class jsc.distributions.AbstractDiscreteDistribution: Maximum variate value.
MaxWidthFormat - class jsc.swt.text.MaxWidthFormat.: This class formats real numbers such that the width of the formatted number is no more than n characters.
MaxWidthFormat(int) - Constructor for class jsc.swt.text.MaxWidthFormat: Create the format for formatting real numbers to maximum width, for the default locale.
MaxWidthFormat(int, Locale) - Constructor for class jsc.swt.text.MaxWidthFormat: Create the format for formatting real numbers to maximum width, for the specified locale.
maxX - Variable in class jsc.distributions.AbstractContinuousDistribution: Range of variate.
McNemarTest - class jsc.contingencytables.McNemarTest.: McNemar test for 2 × 2 tables.
McNemarTest(ContingencyTable2x2) - Constructor for class jsc.contingencytables.McNemarTest: Create significance test results.
McNemarTest(ContingencyTable2x2, boolean) - Constructor for class jsc.contingencytables.McNemarTest: Create significance test results.
MDIApplication - class jsc.swt.mdi.MDIApplication.: This is the base class for Multiple Document Interface (MDI) applications, and is used in conjunction with windows derived from the MDIWindow class.
MDIApplication(String, String, String, String, String, Object) - Constructor for class jsc.swt.mdi.MDIApplication: Create the MDI application.
MDIEditorWindow - class jsc.swt.mdi.MDIEditorWindow.: This class represents a window to be used in conjunction with the MDIApplication class.
MDIEditorWindow(File, String) - Constructor for class jsc.swt.mdi.MDIEditorWindow: Creates a text editor window for the specified file and text.
MDIWindow - class jsc.swt.mdi.MDIWindow.: This is the base class for document windows to be used in conjunction with the MDIApplication class.
MDIWindow(File) - Constructor for class jsc.swt.mdi.MDIWindow: Creates a MDI window for the specified document file.
mean() - Method in class jsc.distributions.WilcoxonT
mean() - Method in class jsc.distributions.Weibull
mean() - Method in class jsc.distributions.Uniform
mean() - Method in class jsc.distributions.StudentsT: Returns zero.
mean() - Method in class jsc.distributions.SplineShape
mean() - Method in class jsc.distributions.PowerFunction
mean() - Method in class jsc.distributions.Poisson
mean() - Method in class jsc.distributions.Pareto: Calculates the mean of the distribution.
mean() - Method in class jsc.distributions.Normal
mean() - Method in class jsc.distributions.NoncentralStudentsT: Calculates the mean.
mean() - Method in class jsc.distributions.NoncentralFishersF: Calculates the mean if df2 > 2, otherwise the mean does not exist and Double.NaN is returned.
mean() - Method in class jsc.distributions.NoncentralChiSquared
mean() - Method in class jsc.distributions.NoncentralBeta: Calculates the mean of the distribution.
mean() - Method in class jsc.distributions.NegativeBinomial
mean() - Method in class jsc.distributions.MannWhitneyU
mean() - Method in class jsc.distributions.Lognormal
mean() - Method in class jsc.distributions.Logistic
mean() - Method in class jsc.distributions.LogarithmicSeries
mean() - Method in class jsc.distributions.Laplace
mean() - Method in class jsc.distributions.Hypergeometric: Returns true indicating that the distribution is discrete.
mean() - Method in class jsc.distributions.HotellingPabstS
mean() - Method in class jsc.distributions.Geometric1
mean() - Method in class jsc.distributions.Geometric
mean() - Method in class jsc.distributions.Gamma
mean() - Method in class jsc.distributions.FishersF: Returns the mean if df2 > 2, otherwise the mean does not exist and Double.NaN is returned.
mean() - Method in class jsc.distributions.ExtremeValue
mean() - Method in class jsc.distributions.ExtendedHypergeometric: Returns true indicating that the distribution is discrete.
mean() - Method in class jsc.distributions.Exponential
mean() - Method in interface jsc.distributions.Distribution: Returns mean of the distribution if it exists.
mean() - Method in class jsc.distributions.DiscreteUniform: Returns true indicating that the distribution is discrete.
mean() - Method in class jsc.distributions.Discrete
mean() - Method in class jsc.distributions.Cauchy: Returns Double.NaN since the mean does not exist.
mean() - Method in class jsc.distributions.Binomial: Returns true indicating that the distribution is discrete.
mean() - Method in class jsc.distributions.Beta
mean() - Method in class jsc.distributions.Bernoulli: Returns the mean of the distribution.
mean() - Method in class jsc.distributions.AbstractDistribution
mean() - Method in class jsc.distributions.AbstractDiscreteDistribution: Calculates mean of the distribution.
mean() - Method in class jsc.distributions.AbstractContinuousDistribution: Mean of the distribution.
MeanVar - class jsc.descriptive.MeanVar.: This class calculates and stores the sample mean and variance of an array of n data values.
MeanVar(double) - Constructor for class jsc.descriptive.MeanVar: Creates the mean and variance object using a single value.
MeanVar(double[]) - Constructor for class jsc.descriptive.MeanVar: Creates the mean and variance from an array of data.
menuBar - Variable in class jsc.swt.datatable.TableWindow: Menu bar of the window.
menuBar - Variable in class jsc.swt.datatable.DataWindow: Menu bar of the window.
menuBar - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's menu bar.
merge(PlotPanel) - Method in class jsc.swt.plot2d.PlotPanel: Merge another PlotPanel object into this one.
min(double[]) - Static method in class jsc.util.Arrays: Returns minimum value in an array of double values.
MINUS - Static variable in class jsc.mathfunction.StatisticalMathFunction: Unary minus.
MINUS - Static variable in class jsc.mathfunction.StandardMathFunction: Unary minus.
minusKey(KeyEvent) - Method in class jsc.swt.control.NumberListener
minValue - Variable in class jsc.distributions.Discrete: Range of variate.
minValue - Variable in class jsc.distributions.AbstractDiscreteDistribution: Minimum variate value.
minX - Variable in class jsc.distributions.AbstractContinuousDistribution: Range of variate.
mode() - Method in class jsc.distributions.ExtendedHypergeometric: Returns the mode of the distribution.
MODULUS - Static variable in class jsc.mathfunction.StatisticalMathFunction: Modulus - the remainder after division.
MODULUS - Static variable in class jsc.mathfunction.StandardMathFunction: Modulus - the remainder after division.
moment(int) - Method in class jsc.distributions.Discrete: Calculates the rth moment about zero.
moment(int) - Method in class jsc.distributions.AbstractDiscreteDistribution: Calculates the rth moment about zero.
moment(int) - Method in class jsc.distributions.AbstractContinuousDistribution: Calculate the rth moment about zero.
moment(int, double) - Method in class jsc.distributions.Discrete: Calculates the rth moment about an arbitrary point, a.
moment(int, double) - Method in class jsc.distributions.AbstractDiscreteDistribution: Calculates the rth moment about an arbitrary point, a.
moment(int, double) - Method in class jsc.distributions.AbstractContinuousDistribution: Calculate the rth moment about an arbitrary point, a.
moveTo(double, double) - Method in class jsc.swt.virtualgraphics.Path: Adds a point to the path by moving to the specified co-ordinates.
multinomialCoefficient(int[]) - Static method in class jsc.util.Maths: Returns the multinomial coefficient.
MULTIPLY - Static variable in class jsc.mathfunction.StatisticalMathFunction: Multiplication: symbol *.
MULTIPLY - Static variable in class jsc.mathfunction.StandardMathFunction: Multiplication: symbol *.
multiply(double) - Method in class jsc.swt.virtualgraphics.VDimension: Returns the result of multiplying this dimension by a scalar quantity.
MultiSetPermutation - class jsc.combinatorics.MultiSetPermutation.: This class represents an individual multi-set permutation.
MultiSetPermutation(int[], int[]) - Constructor for class jsc.combinatorics.MultiSetPermutation: Create the MultiSetPermutation object from an array of N integers.
MultiSetPermutations - class jsc.combinatorics.MultiSetPermutations.: This class enumerates and generates permutations.
MultiSetPermutations(int) - Constructor for class jsc.combinatorics.MultiSetPermutations: Initialize the object.
MultiSetPermutations(int[]) - Constructor for class jsc.combinatorics.MultiSetPermutations: Initialize the object.
MultiVariables - class jsc.mathfunction.MultiVariables.: This class is provided as a convenient implementation of the MathFunctionVariables interface for an array of n named variables.
MultiVariables(String[]) - Constructor for class jsc.mathfunction.MultiVariables: Creates the variables object.
multOverflow(double, double) - Static method in class jsc.util.Maths: If x multiplied by y would cause overflow, return true; otherwise return false.

N

n - Variable in class jsc.distributions.RankSumOfSquares: Number of rankings.
n - Variable in class jsc.goodnessfit.KolmogorovTypeTest: The number of observations.
n - Variable in class jsc.onesample.Ttest: Samples size.
N - Variable in class jsc.independentsamples.TwoSampleBootstrapTest: Total number of observations.
N - Variable in class jsc.independentsamples.PermutableTwoSampleStatistic: Total number of observations in combined samples.
nA - Variable in class jsc.independentsamples.TwoSampleBootstrapTest: Size of sample A.
NameDialogue - class jsc.swt.dialogue.NameDialogue.: This class provides a general dialogue for selecting names from a list.
NameDialogue(Component, String, String, String[], int) - Constructor for class jsc.swt.dialogue.NameDialogue: Create a dialogue to display a list of names.
NameDialogue(Component, String, String, Vector, int) - Constructor for class jsc.swt.dialogue.NameDialogue: Create a dialogue to display a list of names.
NamePairDialogue - class jsc.swt.dialogue.NamePairDialogue.: This class provides a general dialogue for selecting names from two lists.
NamePairDialogue(Component, String, String, String, String[], int, String, String[], int) - Constructor for class jsc.swt.dialogue.NamePairDialogue: Create a dialogue to display two lists of names.
NamePairDialogue(Component, String, String, String, Vector, int, String, Vector, int) - Constructor for class jsc.swt.dialogue.NamePairDialogue: Create a dialogue to display two lists of names.
NameTabbedDialogue - class jsc.swt.dialogue.NameTabbedDialogue.: This class provides a general dialogue for selecting names from n tabbed lists.
NameTabbedDialogue(Component, String, String, String[], Vector[], int[], boolean[]) - Constructor for class jsc.swt.dialogue.NameTabbedDialogue: Create a dialogue to display several lists of names.
NameTabbedDialogue(Component, String, String, String[], Vector, int[], boolean[]) - Constructor for class jsc.swt.dialogue.NameTabbedDialogue: Create a dialogue to display several lists of names.
NameTabbedDialogue(Component, String, String, String[], Vector, int, boolean[]) - Constructor for class jsc.swt.dialogue.NameTabbedDialogue: Create a dialogue to display several lists of names.
nB - Variable in class jsc.independentsamples.TwoSampleBootstrapTest: Size of sample B.
NE - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator: symbol <> or ~=.
NegativeBinomial - class jsc.distributions.NegativeBinomial.: This class represents a negative binomial distribution.
NegativeBinomial(long, double) - Constructor for class jsc.distributions.NegativeBinomial: Create a negative binomial distribution for nth success and probability of success p.
negativeD - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Kolmogorov statistic D-: the maximum negative deviation, F(x)-S(x).
nextBitVector() - Method in class jsc.combinatorics.GrayCode: Returns the next bit vector of the Gray code.
nextPermutation() - Method in class jsc.combinatorics.Permutations: Returns the next permutation.
nextPermutation() - Method in class jsc.combinatorics.MultiSetPermutations: Returns the next permutation.
nextSelection() - Method in class jsc.combinatorics.Permutations: Returns the same value as the nextPermutation method, except that its declared return value is Selection rather than Permutation.
nextSelection() - Method in class jsc.combinatorics.MultiSetPermutations: Returns the same value as the nextPermutation method, except that its declared return value is Selection rather than Permutation.
nextSelection() - Method in class jsc.combinatorics.GrayCode: Returns the same value as the nextBitVector method, except that its declared return value is Selection rather than BitVector.
nextSelection() - Method in interface jsc.combinatorics.Enumerator: Returns the next selection.
NINT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Nearest integer.
NINT - Static variable in class jsc.mathfunction.StandardMathFunction: Nearest integer.
NO_WINDOW - Static variable in class jsc.swt.mdi.MDIApplication: Indicates no MDI window exists.
NoncentralBeta - class jsc.distributions.NoncentralBeta.: This class represents a noncentral beta distribution.
NoncentralBeta(double, double, double) - Constructor for class jsc.distributions.NoncentralBeta: Create a noncentral beta distribution.
NoncentralChiSquared - class jsc.distributions.NoncentralChiSquared.: This class represents a noncentral Chi-squared distribution.
NoncentralChiSquared(double, double) - Constructor for class jsc.distributions.NoncentralChiSquared: Creates a noncentral Chi-squared distribution with "degrees of freedom" parameter df and noncentrality parameter delta.
NoncentralFishersF - class jsc.distributions.NoncentralFishersF.: This class represents a noncentral F distribution.
NoncentralFishersF(double, double, double) - Constructor for class jsc.distributions.NoncentralFishersF: Create a noncentral F distribution.
NoncentralStudentsT - class jsc.distributions.NoncentralStudentsT.: This class represents a noncentral Student's t distribution.
NoncentralStudentsT(double, double) - Constructor for class jsc.distributions.NoncentralStudentsT: Create a noncentral Student's t-distribution with df "degrees of freedom" and noncentrality parameter delta.
Normal - class jsc.distributions.Normal.: This class represents a normal distribution.
Normal() - Constructor for class jsc.distributions.Normal: Create a standard normal distribution.
Normal(double, double) - Constructor for class jsc.distributions.Normal: Create a normal distribution with given mean and standard deviation.
normalApproximation() - Method in class jsc.distributions.NoncentralStudentsT: Returns a normal approximation to the noncentral Student's t distribution.
normalApproximation() - Method in class jsc.distributions.NoncentralBeta: Calculates a normal approximation to the noncentral beta distribution.
normalApproximation(int) - Static method in class jsc.distributions.WilcoxonT: Calculates the normal approximation to the distribution of Wilcoxon's T statistic.
normalApproximation(int, int, int) - Static method in class jsc.distributions.MannWhitneyU: Calculates the normal approximation to the distribution of Mann-Whitney's U statistic.
NORMALIZED - Static variable in class jsc.swt.plot2d.Histogram2D: Indicates histogram of normalized frequencies.
NormalMeanCI - class jsc.onesample.NormalMeanCI.: Confidence interval for the mean of a normal distribution.
NormalMeanCI(double[], double) - Constructor for class jsc.onesample.NormalMeanCI: Create confidence interval for mean of a normal distribution.
NormalMeanCI(PairedData, double) - Constructor for class jsc.onesample.NormalMeanCI: Create confidence interval for the mean difference between two samples of paired data drawn from normal populations.
NormalVarianceCI - class jsc.onesample.NormalVarianceCI.: Confidence interval for the variance of a normal distribution.
NormalVarianceCI(double[], double) - Constructor for class jsc.onesample.NormalVarianceCI: Create confidence interval for variance of a normal distribution.
NOT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical negation: symbol ~ or NOT.
NOT_EQUAL - Static variable in class jsc.tests.H1: Indicates a two-sided test in which the alternative hypothesis is in some sense "not equal" compared to the null hypothesis.
numberKey(KeyEvent) - Method in class jsc.swt.control.NumberListener
NumberListener - class jsc.swt.control.NumberListener.: This class is a base class for listener interfaces for typing in numbers.
NumberListener() - Constructor for class jsc.swt.control.NumberListener
NumericalException - exception jsc.numerical.NumericalException.: Exception class for numerical methods.
NumericalException() - Constructor for class jsc.numerical.NumericalException: Create numerical exception having no message.
NumericalException(String) - Constructor for class jsc.numerical.NumericalException: Create numerical exception having given error message s.

O

objects - Variable in class jsc.swt.plot2d.PlotPanel: Stores PlotObject objects that are drawn on the plot.
ONE_SAMPLE - Static variable in class jsc.ci.DistributionFreeCI: Indicates one-sample problem: confidence interval for median.
OneWayANOVA - class jsc.independentsamples.OneWayANOVA.: This class represents a one-way analysis of variance.
OneWayANOVA(GroupedData) - Constructor for class jsc.independentsamples.OneWayANOVA: Create the analysis of variance and significance test results.
open - Variable in class jsc.distributions.AbstractContinuousDistribution: If true, pdf cannot be calculated at the finite limits of the variate.
openFileChooser - Variable in class jsc.swt.file.AppFileActions: The Open file chooser dialogue.
optionsMenu - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's Options menu.
OR - Static variable in class jsc.mathfunction.StatisticalMathFunction: Logical operator for inclusive disjunction: symbol |.
OrderStatistics - class jsc.descriptive.OrderStatistics.: This class calculates and stores order statistics.
OrderStatistics(double[]) - Constructor for class jsc.descriptive.OrderStatistics: Creates the order statistics from an array of data.
originalSample - Variable in class jsc.independentsamples.PermutableTwoSampleStatistic: Original combined data samples.
outsideAxes(VPoint) - Method in class jsc.swt.plot2d.AxesPlot: Returns true if the given point is outside the range of the axes.

P

pageSetup - Variable in class jsc.swt.menu.PrintMenu: The "Page Setup" menu item that implements page setup.
pageSetupAction - Variable in class jsc.swt.menu.PrintMenu: The AbstractAction object for the "Page Setup" menu item.
PageTest - class jsc.relatedsamples.PageTest.: This class represents Page's test.
PageTest(MatchedData, String[]) - Constructor for class jsc.relatedsamples.PageTest: Create significance test results.
PageTest(MatchedData, String[], double) - Constructor for class jsc.relatedsamples.PageTest: Create significance test results.
paintBackground(Graphics) - Method in class jsc.swt.plot2d.PlotPanel: Calls JComponent.paintComponent().
paintComponent(Graphics) - Method in class jsc.swt.panel.GraphicBackgroundPanel: Tiles the panel.
paintComponent(Graphics) - Method in class jsc.swt.plot2d.SplinePlot2D: It is necessary to override the paintComponent method so that the virtual width of the sliders is equal to the bead size.
paintComponent(Graphics) - Method in class jsc.swt.plot2d.PlotPanel: Draws the plot.
paintComponent(Graphics) - Method in class jsc.swt.plot2d.AxesPlot: Draws the title and axes of the plot.
paintLabels - Variable in class jsc.swt.plot2d.Axis: Draw the tick mark labels if true.
paintThumb(Graphics) - Method in class jsc.swt.plot.BeadSliderUI: Renders the slider thumb as a filled circle with diameter equal to the width of the slider.
PAIRED_SAMPLE - Static variable in class jsc.ci.DistributionFreeCI: Indicates paired sample problem: confidence interval for median difference.
PairedData - class jsc.datastructures.PairedData.: This class represents two samples, X and Y, of paired (related) data.
PairedData(double[][]) - Constructor for class jsc.datastructures.PairedData: Construct the paired data structure from a matrix with two columns.
PairedData(double[], double[]) - Constructor for class jsc.datastructures.PairedData: Construct the paired data structure from two arrays.
PairedTtest - class jsc.onesample.PairedTtest.: This class represents a paired t-test.
PairedTtest(PairedData) - Constructor for class jsc.onesample.PairedTtest: Create significance test results.
PairedTtest(PairedData, H1) - Constructor for class jsc.onesample.PairedTtest: Create significance test results.
pane - Variable in class jsc.swt.dialogue.Dialogue: The JOptionPane object.
parent - Variable in class jsc.swt.mdi.MDIApplication: Handle to the MDI application window.
parentComponent - Variable in class jsc.swt.datatable.DataCalculator: The parent component.
Pareto - class jsc.distributions.Pareto.: This class represents a Pareto distribution.
Pareto(double, double) - Constructor for class jsc.distributions.Pareto: Creates a Pareto distribution with specified location and shape parameters.
parse(String) - Method in class jsc.mathfunction.AbstractMathFunction: Parse the mathematical expression.
parse(String) - Method in class jsc.swt.text.SigFigFormat
parse(String) - Method in class jsc.swt.text.RealFormat: Attempt to parse the given text into a number using the format.
parse(String) - Method in class jsc.swt.text.PatternFormat
parse(String) - Method in class jsc.swt.text.MaxWidthFormat
parse(String) - Method in class jsc.swt.text.IntegerFormat: Attempt to parse the given text into a number using the format.
paste() - Method in class jsc.swt.datatable.DataTable: Paste data from the table's internal clipboard into the table at the point appropriate to the clipboard's copy mode.
paste() - Method in class jsc.swt.mdi.MDIWindow: Paste contents of clipboard into document.
paste() - Method in class jsc.swt.mdi.MDIEditorWindow: Paste text from system clipboard into window at current position.
pasteCells(DataMatrix) - Method in class jsc.swt.datatable.DataTable: Paste values from a data matrix structure into the data table after the currently selected row and column.
pasteColumns() - Method in class jsc.swt.datatable.DataTable: Paste columns previously copied or cut from data table back into the data table after the currently selected column.
pasteFromSystemClipboard() - Method in class jsc.swt.datatable.DataTable: Paste contents of the system clipboard into the table after the currently selected row and column.
pasteRows() - Method in class jsc.swt.datatable.DataTable: Paste rows previously copied or cut from the data table back into the data table after the currently selected row.
Path - class jsc.swt.virtualgraphics.Path.: This is the base class for general shapes in a virtual co-ordinate system.
Path() - Constructor for class jsc.swt.virtualgraphics.Path: Constructs a new Path object.
Path(int) - Constructor for class jsc.swt.virtualgraphics.Path: Constructs a new Path object with the specified initial capacity to store path coordinates.
Path(int, int) - Constructor for class jsc.swt.virtualgraphics.Path: Constructs a new Path object with the specified winding rule and initial capacity to store path coordinates.
Path(Shape) - Constructor for class jsc.swt.virtualgraphics.Path: Constructs a new Path object from an arbitrary Shape object.
PatternFormat - class jsc.swt.text.PatternFormat.: This class formats real numbers using a specified pattern.
PatternFormat(String) - Constructor for class jsc.swt.text.PatternFormat: Create the format for formatting numbers using the specified pattern, for the default locale.
PatternFormat(String, Locale) - Constructor for class jsc.swt.text.PatternFormat: Create the format for formatting numbers using the specified pattern, for the specified locale.
pdf(double) - Method in class jsc.distributions.WilcoxonT: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Weibull: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.Uniform: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.StudentsT: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.SplineShape: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.PowerFunction: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.Poisson: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Pareto: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.Normal: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.NoncentralStudentsT: Calculates the value of the probability density function at variate-value t.
pdf(double) - Method in class jsc.distributions.NoncentralFishersF: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.NoncentralChiSquared: Returns the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.NoncentralBeta: Calculatess the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.NegativeBinomial: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.MannWhitneyU: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Lognormal: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.Logistic
pdf(double) - Method in class jsc.distributions.LogarithmicSeries: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Laplace
pdf(double) - Method in class jsc.distributions.Hypergeometric: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Geometric1: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Geometric: Calculates the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Gamma: Returns the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.FishersF: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.ExtremeValue: Calculates the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.ExtendedHypergeometric: Returns the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Exponential: Returns the value of the probability density function at variate-value x.
pdf(double) - Method in interface jsc.distributions.Distribution: Returns the value of the probability density (or mass) function at a variate-value x.
pdf(double) - Method in class jsc.distributions.DiscreteUniform: Returns the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Discrete: Returns the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Cauchy
pdf(double) - Method in class jsc.distributions.Binomial: Returns the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.Beta: Returns the value of the probability density function at variate-value x.
pdf(double) - Method in class jsc.distributions.Bernoulli: Returns the value of the probability mass function at variate-value x.
pdf(double) - Method in class jsc.distributions.AbstractDistribution
pdf(double) - Method in class jsc.distributions.AbstractDiscreteDistribution: Return the value of the probability mass function at a variate-value x.
pdf(double) - Method in class jsc.distributions.AbstractContinuousDistribution: Return the value of the probability density function at a variate-value x.
PdfPlot - class jsc.swt.plot2d.PdfPlot.: This class represents a plot of probability density functions.
PdfPlot(AxisModel, AxisModel, String) - Constructor for class jsc.swt.plot2d.PdfPlot: Creates the plot with given title and AxisModel objects.
PearsonCorrelation - class jsc.regression.PearsonCorrelation.: This class calculates and stores the Pearson product-moment correlation coefficient and least squares straight line, x = A + By, for an array of n data pairs (x,y).
PearsonCorrelation(PairedData) - Constructor for class jsc.regression.PearsonCorrelation: Creates the correlation coefficient and least squares estimate from paired data (x,y).
PERCENTAGE - Static variable in class jsc.swt.plot2d.VerticalBarChart: Indicates bar chart of percentages.
PermutableStatistic - interface jsc.statistics.PermutableStatistic.: Defines an interface for permutable statistics.
PermutableTwoSampleStatistic - class jsc.independentsamples.PermutableTwoSampleStatistic.: Root class for permutable two-sample statistics.
PermutableTwoSampleStatistic(double[], double[]) - Constructor for class jsc.independentsamples.PermutableTwoSampleStatistic: Creates object from two samples.
Permutation - class jsc.combinatorics.Permutation.: This class represents an individual single-set permutation.
Permutation(int[]) - Constructor for class jsc.combinatorics.Permutation: Create the Permutation object from an array of n integers.
Permutations - class jsc.combinatorics.Permutations.: This class generates individual single-set permutations.
Permutations(int) - Constructor for class jsc.combinatorics.Permutations: Initialize the object.
PermutationTest - class jsc.tests.PermutationTest.: General permutation test.
PermutationTest(PermutableStatistic) - Constructor for class jsc.tests.PermutationTest: Create permutation test.
PermutationTest(PermutableStatistic, Tail) - Constructor for class jsc.tests.PermutationTest: Create permutation test.
PermutationTest(PermutableStatistic, Tail, boolean, int) - Constructor for class jsc.tests.PermutationTest: Create permutation test.
PermutationTest(PermutableStatistic, Tail, boolean, int, double) - Constructor for class jsc.tests.PermutationTest: Create permutation test.
PermutationTest(PermutableStatistic, Tail, boolean, int, double, StatisticListener) - Constructor for class jsc.tests.PermutationTest: Create permutation test.
permutedSampleA - Variable in class jsc.independentsamples.PermutableTwoSampleStatistic: Sample containing a permuted subsample from the combined sample.
permutedSampleB - Variable in class jsc.independentsamples.PermutableTwoSampleStatistic: Sample containing a permuted subsample from the combined sample.
permuteStatistic(Selection) - Method in class jsc.independentsamples.PermutableTwoSampleStatistic: Calculate the value of the statistic for a permutation of the original data in the two samples.
permuteStatistic(Selection) - Method in class jsc.independentsamples.MannWhitneyTest
permuteStatistic(Selection) - Method in class jsc.onesample.PairedTtest: Calculate the value of the statistic for a permutation of the original data in the two samples.
permuteStatistic(Selection) - Method in interface jsc.statistics.PermutableStatistic: Calculate the value of the statistic for a "permutation" of its original data.
PI_CONST - Static variable in class jsc.mathfunction.StatisticalMathFunction: Constant value: symbol pi.
PI_CONST - Static variable in class jsc.mathfunction.StandardMathFunction: Constant value: symbol pi.
PiAxisModel - class jsc.swt.plot.PiAxisModel.: This class describes an axis with pi-related tick marks.
PiAxisModel() - Constructor for class jsc.swt.plot.PiAxisModel: Creates a default axis model with three tick marks at -pi, 0, and pi.
PiAxisModel(String, int, int, int) - Constructor for class jsc.swt.plot.PiAxisModel: Creates the axis model.
PitmanTwoSampleTest - class jsc.independentsamples.PitmanTwoSampleTest.: Pitman's two sample test.
PitmanTwoSampleTest(double[], double[]) - Constructor for class jsc.independentsamples.PitmanTwoSampleTest: Create significance test results.
PitmanTwoSampleTest(double[], double[], H1) - Constructor for class jsc.independentsamples.PitmanTwoSampleTest: Create significance test results.
PIXEL - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker that is a single pixel.
pixelToVirtual(Dimension) - Method in class jsc.swt.plot2d.PlotPanel: Returns the virtual dimension corresponding to a device (pixel) dimension d.
pixelToVirtual(Dimension) - Method in class jsc.swt.virtualgraphics.VirtualTransform: Returns the virtual dimension corresponding to a device (pixel) dimension d.
pixelToVirtual(Point) - Method in class jsc.swt.plot2d.PlotPanel: Returns the virtual point corresponding to a device (pixel) point p.
pixelToVirtual(Point) - Method in class jsc.swt.virtualgraphics.VirtualTransform: Returns the virtual point corresponding to a device (pixel) point p.
PlotFunction - interface jsc.swt.plot.PlotFunction.: This interface represents a mathematical function, y = f(x), to be plotted.
PlotObject - interface jsc.swt.plot2d.PlotObject.: Defines the interface for objects that can be drawn in a plot.
PlotPanel - class jsc.swt.plot2d.PlotPanel.: This is the base class for plotting in a virtual (user-defined) co-ordinate system.
PlotPanel() - Constructor for class jsc.swt.plot2d.PlotPanel: Create the panel with default preferred size (300,300) and default virtual plotting area with origin (0,0) and dimension (1,1).
PlotPanel(Dimension) - Constructor for class jsc.swt.plot2d.PlotPanel: Create the panel with the given preferred size and default virtual plotting area with origin (0,0) and dimension (1,1).
PlotPanel(Dimension, VRectangle) - Constructor for class jsc.swt.plot2d.PlotPanel: Create the panel with the given preferred size and virtual plotting area.
PlotPmf - interface jsc.swt.plot.PlotPmf.: This defines an interface for probability mass functions to be plotted.
PlotShape - class jsc.swt.plot2d.PlotShape.: This class represents a shape drawn on a plot.
PlotShape(Shape) - Constructor for class jsc.swt.plot2d.PlotShape: Creates the plot object using the given shape and current default graphical attributes.
PlotShape(Shape, Color) - Constructor for class jsc.swt.plot2d.PlotShape: Creates the plot object using the given shape and colour.
PlotShape(Shape, Color, Stroke) - Constructor for class jsc.swt.plot2d.PlotShape: Creates the plot object using the given shape and graphical attributes.
PlotShape(Shape, Color, Stroke, Paint, boolean) - Constructor for class jsc.swt.plot2d.PlotShape: Creates the plot object using the given shape and graphical attributes.
PlotShape(Shape, Paint) - Constructor for class jsc.swt.plot2d.PlotShape: Creates the plot object using the given shape and paint style.
PlotText - class jsc.swt.plot2d.PlotText.: This class represents a string of text drawn on a plot.
PlotText(String, VPoint) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string centered on the given anchor point, and current default values of colour and font.
PlotText(String, VPoint, int) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string, anchor point, orientation, a gap of one pixel, and current default values of colour and font.
PlotText(String, VPoint, int, int) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string, anchor point, orientation, gap and current default values of colour and font.
PlotText(String, VPoint, int, int, Color) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string, anchor point, orientation, gap, colour and current default font.
PlotText(String, VPoint, int, int, Color, Font) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string, anchor point, orientation, gap, colour and font.
PlotText(String, VPoint, int, int, Color, Font, double) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string, anchor point, orientation, gap, colour, font and angle.
PlotText(String, VPoint, int, int, double) - Constructor for class jsc.swt.plot2d.PlotText: Creates the text object using the given string, anchor point, orientation, gap, angle and current default values of colour and font.
PLUS - Static variable in class jsc.mathfunction.StatisticalMathFunction: Unary plus.
PLUS - Static variable in class jsc.mathfunction.StandardMathFunction: Unary plus.
PLUS - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker that takes the form of a plus sign.
pmf(double) - Method in interface jsc.swt.plot.PlotPmf: Returns value of pmf at x.
Poisson - class jsc.distributions.Poisson.: This class represents a Poisson distribution.
Poisson(double) - Constructor for class jsc.distributions.Poisson: Create Poisson distribution with given mean.
PoissonMeanCI - class jsc.onesample.PoissonMeanCI.: This class represents a confidence interval for the mean of a Poisson distribution.
PoissonMeanCI(double, double) - Constructor for class jsc.onesample.PoissonMeanCI: Create confidence interval for mean given a single observation from a Poisson distribution.
PoissonMeanCI(double, int, double) - Constructor for class jsc.onesample.PoissonMeanCI: Create confidence interval for mean of Poisson distribution given a sample mean.
PolygonBars - class jsc.swt.virtualgraphics.PolygonBars.: This class represents an array of vertical bars drawn as a single polygon in a virtual coordinate system.
PolygonBars(double, double, double[]) - Constructor for class jsc.swt.virtualgraphics.PolygonBars: Create a polygon representing an array of bars.
Polyline - class jsc.swt.virtualgraphics.Polyline.: This class represents a polyline in a virtual coordinate system.
Polyline(Vector) - Constructor for class jsc.swt.virtualgraphics.Polyline: Creates a polyline using a vector of virtual points.
Polyline(VPoint[]) - Constructor for class jsc.swt.virtualgraphics.Polyline: Creates a polyline using an array of virtual points.
Polyline(VPoint[], int) - Constructor for class jsc.swt.virtualgraphics.Polyline: Creates a polyline using the first n elements of an array of virtual points.
Polyline(VPoint, int) - Constructor for class jsc.swt.virtualgraphics.Polyline: This constructor is for building up a polyline incrementally using the lineTo() method.
Polynomial - class jsc.util.Polynomial.: This class represents a polynomial.
Polynomial(double[]) - Constructor for class jsc.util.Polynomial: Construct the polynomial using the array of coefficients.
PolynomialFit - class jsc.curvefitting.PolynomialFit.: This is a convenience implementation of GeneralLinearLeastSquares that fits a polynomial model.
PolynomialFit(PairedData, double[], int) - Constructor for class jsc.curvefitting.PolynomialFit: Fits the polynomial of given degree by least squares to paired data (x,y) and weights w.
PolynomialFit(PairedData, int) - Constructor for class jsc.curvefitting.PolynomialFit: Fits the polynomial of given degree by least squares to paired data (x,y).
PolynomialFunctionVector - class jsc.curvefitting.PolynomialFunctionVector.: This implements the FunctionVector interface for a polynomial.
poolBins() - Method in class jsc.goodnessfit.ChiSquaredFitTest: Automatically pool bins and recalculate the test.
poolBins(int, int) - Method in class jsc.goodnessfit.ChiSquaredFitTest: Pool bins and recalculate the test.
PosIntegerComboBox - class jsc.swt.control.PosIntegerComboBox.: This is a combo box control customized for selecting from a range of positive integers.
PosIntegerComboBox(int, int, int) - Constructor for class jsc.swt.control.PosIntegerComboBox: Create the control for the specified range of integers.
PosIntegerField - class jsc.swt.control.PosIntegerField.: This is a text field that allows only valid non-negative integers to be typed or pasted in.
PosIntegerField.WholeNumberDocument - class jsc.swt.control.PosIntegerField.WholeNumberDocument.
PosIntegerField.WholeNumberDocument() - Constructor for class jsc.swt.control.PosIntegerField.WholeNumberDocument
PosIntegerField(int, int) - Constructor for class jsc.swt.control.PosIntegerField: Create the field with specified number of columns and initial value.
PosIntegerField(int, int, int, int) - Constructor for class jsc.swt.control.PosIntegerField: Create the field with specified number of columns, initial value, maximum digits and maximum value.
PosIntegerLabelledField - class jsc.swt.control.PosIntegerLabelledField.: Deprecated. jsc.swt.panel.FieldPanel is preferable.
PosIntegerLabelledField(String, int, int) - Constructor for class jsc.swt.control.PosIntegerLabelledField: Deprecated. Create the field with specified text, number of columns and displaying the specified value.
PosIntegerLabelledField(String, int, int, int, int) - Constructor for class jsc.swt.control.PosIntegerLabelledField: Deprecated. Create the field with specified text, number of columns and displaying the specified value. maxDigits sets the maximum number of digits of the integer that can be entered into the field, which should be less than 10 to prevent overflow. maxValue is the maximum value that can be returned by method getValue().
PosIntegerListener - class jsc.swt.control.PosIntegerListener.: Deprecated. Do not use this with Swing components. Use JPosIntegerListener with Swing components. PosIntegerField is preferable.
PosIntegerListener() - Constructor for class jsc.swt.control.PosIntegerListener: Deprecated.
positiveD - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Kolmogorov statistic D+: the maximum positive deviation, S(x)-F(x).
PosRealField - class jsc.swt.control.PosRealField.: This is a text field that allows only valid non-negative real numbers to be typed or pasted in.
PosRealField.RealNumberDocument - class jsc.swt.control.PosRealField.RealNumberDocument.
PosRealField.RealNumberDocument() - Constructor for class jsc.swt.control.PosRealField.RealNumberDocument
PosRealField(double, int) - Constructor for class jsc.swt.control.PosRealField: Create the field displaying the given value, with specified number of columns and default formatter: MaxWidthFormat(7).
PosRealField(double, int, RealFormat) - Constructor for class jsc.swt.control.PosRealField: Create the field displaying the given value, with specified number of columns and formatter.
PosRealListener - class jsc.swt.control.PosRealListener.: Deprecated. Do not use this with Swing components. Use JPosRealListener with Swing components. PosRealField is preferable.
PosRealListener() - Constructor for class jsc.swt.control.PosRealListener: Deprecated.
POWER - Static variable in class jsc.mathfunction.StatisticalMathFunction: Exponentiation: symbol ^.
POWER - Static variable in class jsc.mathfunction.StandardMathFunction: Exponentiation: symbol ^.
PowerFunction - class jsc.distributions.PowerFunction.: This class represents a power function distribution.
PowerFunction(double, double) - Constructor for class jsc.distributions.PowerFunction: Create a power function distribution with specified scale and shape parameters.
print - Variable in class jsc.swt.menu.PrintMenu: The "Print" menu item that implements printing.
printAction - Variable in class jsc.swt.menu.PrintMenu: The AbstractAction object for the "Print" menu item.
PrintMenu - class jsc.swt.menu.PrintMenu.: This class implements a print menu consisting of items "Page Setup" and "Print".
PrintMenu(Component, PageFormat, Printable) - Constructor for class jsc.swt.menu.PrintMenu: Creates the menu.
probs - Variable in class jsc.distributions.Discrete: Corresponding probabilities of values[].
processKeyBinding(KeyStroke, KeyEvent, int, boolean) - Method in class jsc.swt.datatable.Table: Filter out key strokes that are menu accelerators for copy, cut and paste.
processWindowEvent(WindowEvent) - Method in class jsc.swt.mdi.MDIApplication: Detect application is closing and give user the opportunity to save changed windows, or cancel the closing.
product(int[]) - Static method in class jsc.util.Arrays: Returns the product of the elements in an array of integer values.
promoteColumnClass(int) - Method in class jsc.swt.datatable.DataTable: Promote class of column c to Double or Integer if possible.
PropertiesFile - class jsc.swt.util.PropertiesFile.: This is a convenient implementation of the Properties class.
PropertiesFile() - Constructor for class jsc.swt.util.PropertiesFile: Creates an empty property list not associated with a file.
PropertiesFile(String) - Constructor for class jsc.swt.util.PropertiesFile: Creates an empty property list associated with the given file name.
PropertiesFile(String, Properties) - Constructor for class jsc.swt.util.PropertiesFile: Creates an empty property list with the specified defaults and associated with the given file name.
PROPORTION - Static variable in class jsc.swt.plot2d.VerticalBarChart: Indicates bar chart of proportions.
ProportionCI - class jsc.onesample.ProportionCI.: This class represents the Clopper-Pearson "exact" confidence interval for a proportion p, obtained by observing x successes in a sequence of n independent Bernoulli trials with probability p.
ProportionCI(long, long, double) - Constructor for class jsc.onesample.ProportionCI: Create approximate large sample confidence interval for proportion p.
ProportionPlot2D - class jsc.swt.plot2d.ProportionPlot2D.: This class represents the plot of a curve representing the proportion of "successes" in a sequence of trials.
ProportionPlot2D(String, String, int, String, int, int, Color, Stroke, double, Color, Stroke) - Constructor for class jsc.swt.plot2d.ProportionPlot2D: Creates the proportion plot.

Q

quadTo(double, double, double, double) - Method in class jsc.swt.virtualgraphics.Path: Adds a curved segment, defined by two new points, to the path by drawing a quadratic curve that intersects both the current coordinates and the coordinates (x2, y2), using the specified point (x1, y1) as a quadratic parametric control point.

R

RAD - Static variable in class jsc.mathfunction.StatisticalMathFunction: Convert angle from degrees to radians.
RAD - Static variable in class jsc.mathfunction.StandardMathFunction: Convert angle from degrees to radians.
rand - Variable in class jsc.distributions.AbstractDistribution: Pseudo-random number generator for use by subclassed specific distributions.
rand - Variable in class jsc.tests.ResampleTest: Pseudo-random number generator for random generation of bootstrap samples.
rand - Variable in class jsc.tests.BootstrapTest: Pseudo-random number generator for random generation of bootstrap samples.
random() - Method in class jsc.distributions.Weibull
random() - Method in class jsc.distributions.Uniform
random() - Method in class jsc.distributions.StudentsT
random() - Method in class jsc.distributions.SplineShape
random() - Method in class jsc.distributions.PowerFunction
random() - Method in class jsc.distributions.Poisson: Returns as a double number an integer value that is a random variate-value drawn from the Poisson distribution.
random() - Method in class jsc.distributions.Pareto
random() - Method in class jsc.distributions.Normal: Return a pseudo-random value from the distribution.
random() - Method in class jsc.distributions.NoncentralStudentsT
random() - Method in class jsc.distributions.NoncentralFishersF
random() - Method in class jsc.distributions.NoncentralChiSquared: Returns a pseudo-random variate-value from the distribution.
random() - Method in class jsc.distributions.NoncentralBeta
random() - Method in class jsc.distributions.NegativeBinomial: Returns as a double number an integer value that is a random variate-value drawn from the negative binomial distribution.
random() - Method in class jsc.distributions.Lognormal
random() - Method in class jsc.distributions.Logistic
random() - Method in class jsc.distributions.LogarithmicSeries: Returns as a double number an integer value that is a random variate-value drawn from the logarithmic series distribution.
random() - Method in class jsc.distributions.Laplace
random() - Method in class jsc.distributions.Hypergeometric: Returns as a double number an integer value that is a pseudo-random variate-value drawn from the hypergeometric distribution.
random() - Method in class jsc.distributions.Geometric1: Returns as a double number an integer value that is a pseudo-random variate-value from the distribution.
random() - Method in class jsc.distributions.Geometric: Returns as a double number an integer value that is a pseudo-random variate-value from the distribution.
random() - Method in class jsc.distributions.Gamma: Returns a pseudo-random variate-value from the distribution.
random() - Method in class jsc.distributions.FishersF
random() - Method in class jsc.distributions.ExtremeValue: Returns a pseudo-random variate-value from the distribution.
random() - Method in class jsc.distributions.ExtendedHypergeometric
random() - Method in class jsc.distributions.Exponential
random() - Method in interface jsc.distributions.Distribution: Returns a pseudo-random variate-value from the distribution.
random() - Method in class jsc.distributions.DiscreteUniform
random() - Method in class jsc.distributions.Discrete
random() - Method in class jsc.distributions.Cauchy
random() - Method in class jsc.distributions.Binomial: Returns as a double number an integer value that is a random variate-value drawn from the binomial distribution.
random() - Method in class jsc.distributions.Beta: Returns a pseudo-random variate-value from the beta distribution.
random() - Method in class jsc.distributions.Bernoulli: Returns as a double number an integer 0 or 1 that is a random variate-value drawn from the Bernoulli distribution.
random() - Method in class jsc.distributions.AbstractDistribution: Returns a pseudo-random variate-value from the distribution.
randomBitVector() - Method in class jsc.combinatorics.GrayCode: Returns a random bit vector.
randomPermutation() - Method in class jsc.combinatorics.Permutations: Returns a random permutation.
randomPermutation() - Method in class jsc.combinatorics.MultiSetPermutations: Returns a random permutation.
randomSelection() - Method in class jsc.combinatorics.Permutations: Returns a random permutation as a Selection object.
randomSelection() - Method in class jsc.combinatorics.MultiSetPermutations: Returns a random permutation as a Selection object.
randomSelection() - Method in class jsc.combinatorics.GrayCode: Returns a random bit vector as a Selection object.
randomSelection() - Method in interface jsc.combinatorics.Enumerator: Returns a random selection.
Rank - class jsc.util.Rank.: This class represents the ranking of an array of values.
Rank(double[], double) - Constructor for class jsc.util.Rank: Construct the ranks of an array of values.
Rank(int, double[], double) - Constructor for class jsc.util.Rank: Construct the ranks of an array of values.
rankByBlocks(double) - Method in class jsc.datastructures.MatchedData: Rank the data values within each block.
RankSumOfSquares - class jsc.distributions.RankSumOfSquares.: This class represents the distribution of S, the sum of squares of the deviations of sums of ranks from the mean in n rankings of k objects.
RankSumOfSquares(int, int) - Constructor for class jsc.distributions.RankSumOfSquares: Create S distribution for given sample sizes.
RatioScaleCI - class jsc.independentsamples.RatioScaleCI.: Confidence interval for ratio of scale parameters for two independent samples.
RatioScaleCI(double[], double[], double) - Constructor for class jsc.independentsamples.RatioScaleCI: Create confidence interval.
RatioScaleCI(double[], double[], double, int) - Constructor for class jsc.independentsamples.RatioScaleCI: Create confidence interval.
Rayleigh - class jsc.distributions.Rayleigh.: This class represents a Rayleigh distribution.
Rayleigh(double) - Constructor for class jsc.distributions.Rayleigh: Creates a Rayleigh distribution with given scale parameter.
read(File) - Static method in class jsc.swt.datatable.DataWindow: Read data from a file that was written by method write() of this class and, if possible, return a data matrix.
read(File) - Static method in class jsc.swt.datatable.DataFile: Read data from a file that was written by method write() of this class and, if possible, return a data matrix.
read(File) - Method in interface jsc.swt.file.AppFile: Read the specified file.
readTextFile(File, boolean, String, String) - Static method in class jsc.swt.datatable.DataWindow: Read data from a text file and, if possible, return a data matrix.
readTextFile(File, boolean, String, String) - Static method in class jsc.swt.datatable.DataFile: Read data from a text file and, if possible, return a data matrix.
RealField - class jsc.swt.control.RealField.: This is a text field that allows only valid real numbers to be typed or pasted in.
RealField.RealNumberDocument - class jsc.swt.control.RealField.RealNumberDocument.
RealField.RealNumberDocument() - Constructor for class jsc.swt.control.RealField.RealNumberDocument
RealField(double, int) - Constructor for class jsc.swt.control.RealField: Create the field displaying the given value, with specified number of columns and default formatter: MaxWidthFormat(7).
RealField(double, int, RealFormat) - Constructor for class jsc.swt.control.RealField: Create the field displaying the given value, with specified number of columns and formatter.
RealFormat - class jsc.swt.text.RealFormat.: Base class for classes that format real numbers.
RealFormat(Locale) - Constructor for class jsc.swt.text.RealFormat: Constructor for formatting real numbers in the specified locale.
RealListener - class jsc.swt.control.RealListener.: Deprecated. Do not use this with Swing components. Use JRealListener with Swing components. RealField is preferable.
RealListener() - Constructor for class jsc.swt.control.RealListener: Deprecated.
RealLogSlider - class jsc.swt.control.RealLogSlider.: This class represents a horizontal slider for real values on a logarithmic scale.
RealLogSlider(double, double, double, int, double[], String) - Constructor for class jsc.swt.control.RealLogSlider: Creates a logarithmic slider for selecting positive real values.
RealSlider - class jsc.swt.control.RealSlider.: This class represents a horizontal slider with real values labelling its scale marks.
RealSlider(double, double, double, double, double, double, double, String) - Constructor for class jsc.swt.control.RealSlider: Creates a slider for selecting real values.
recalculateStatistic(double[]) - Method in interface jsc.statistics.ResampleStatistic: Calculate the value of the statistic for any sample of data.
RECIP - Static variable in class jsc.swt.datatable.DataTable: Indicates reciprocal transformation of values in a column of the table.
RECIP_SQRT - Static variable in class jsc.swt.datatable.DataTable: Indicates reciprocal square-root transformation of values in a column of the table.
recode(String, RecodeTable) - Method in class jsc.swt.datatable.DataTable: Recode all non-null values in column named sourceColumnName using the values in recodeTable and write them to a new column.
RecodeModel - class jsc.swt.datatable.RecodeModel.: This class implements the table model for the table used to recode values.
RecodeModel(Vector) - Constructor for class jsc.swt.datatable.RecodeModel: Create model for recode table.
RecodeTable - class jsc.swt.datatable.RecodeTable.: This class implements a table that allows the user to recode values.
RecodeTable(RecodeModel) - Constructor for class jsc.swt.datatable.RecodeTable: Creates the recoding table using the given model.
RectangularBars - class jsc.swt.virtualgraphics.RectangularBars.: This class represents an array of vertical bars drawn as rectangles in a virtual coordinate system.
RectangularBars(VPoint[], double) - Constructor for class jsc.swt.virtualgraphics.RectangularBars: Creates the array of bars using an array of points that specify the centers of the top of the bars.
RELATIVE - Static variable in class jsc.swt.plot2d.Histogram2D: Indicates histogram of relative frequencies (proportions).
removeAll() - Method in class jsc.swt.plot2d.PlotPanel: Remove all objects and components from the plot.
removeAllComponents() - Method in class jsc.swt.plot2d.PlotPanel: Remove all the components from the plot.
removeAllObjects() - Method in class jsc.swt.plot2d.PlotPanel: Remove all the objects from the plot.
removeCell(int, int) - Method in class jsc.swt.datatable.DataModel: Remove cell at row r, column c.
removeCell(int, int) - Method in class jsc.swt.datatable.DataMatrix: Remove cell at row r, column c.
removeColumn(int) - Method in class jsc.swt.datatable.DataModel: Remove column c.
removeColumn(int) - Method in class jsc.swt.datatable.DataMatrix: Remove column c.
removeColumn(String) - Method in class jsc.swt.datatable.DataModel: Remove named column.
removeColumn(String) - Method in class jsc.swt.datatable.DataMatrix: Remove named column.
removeComponent(int) - Method in class jsc.swt.plot2d.PlotPanel: Removes the component having the specified index from the plot.
removeLastComponent() - Method in class jsc.swt.plot2d.PlotPanel: Removes the last component that was added to the plot.
removeLastObject() - Method in class jsc.swt.plot2d.PlotPanel: Removes the last object that was added to the plot.
removeObject(int) - Method in class jsc.swt.plot2d.PlotPanel: Removes the object having the specified index from the plot.
removeObject(PlotObject) - Method in class jsc.swt.plot2d.PlotPanel: Removes the first occurence of the specified object from the plot.
removeRenderingHint(Object) - Method in class jsc.swt.plot2d.PlotPanel: Removes a rendering hint from the plot.
removeRow(int) - Method in class jsc.swt.datatable.DataModel: Remove row r.
removeRow(int) - Method in class jsc.swt.datatable.DataMatrix: Remove row r.
removeStatisticListener(StatisticListener) - Method in class jsc.tests.ResampleTest: Remove a listener.
removeStatisticListener(StatisticListener) - Method in class jsc.tests.BootstrapTest: Remove a listener.
replaceToken(String, String) - Method in class jsc.mathfunction.StatisticalMathFunction: Replaces a token string.
replaceToken(String, String) - Method in class jsc.mathfunction.StandardMathFunction: Replaces a token string.
ResampleStatistic - interface jsc.statistics.ResampleStatistic.: Defines an interface for resampling statistics.
resampleStatistic(double[]) - Method in class jsc.independentsamples.MannWhitneyTest: Calculates the value of the Mann-Whitney statistic for ranks of one of two samples.
resampleStatistic(double[], double[]) - Method in class jsc.independentsamples.TwoSampleTtest
resampleStatistic(double[], double[]) - Method in interface jsc.independentsamples.TwoSampleStatistic: Calculate the value of the statistic for any two samples of data.
resampleStatistic(double[], double[]) - Method in class jsc.independentsamples.SmirnovTest: Calculates the value of the test statistic for any two samples of data.
resampleStatistic(double[], double[]) - Method in class jsc.independentsamples.PermutableTwoSampleStatistic: Calculate the value of the statistic for any two samples of permutations of the original data.
ResampleTest - class jsc.tests.ResampleTest.: Root class for resampling significance tests.
ResampleTest(double, Tail, StatisticListener) - Constructor for class jsc.tests.ResampleTest: Instantiate the object.
rescale(double, double, double, double, double) - Method in class jsc.swt.plot.BeadSlider: Rescales the slider.
rescale(double, double, double, double, double, double, double, String) - Method in class jsc.swt.control.RealSlider: Rescales the slider.
rescale(int, int) - Method in class jsc.swt.plot2d.ProportionPlot2D: Resets the horizontal scale for a new number of trials and new number of tick marks on horizontal axis.
rescaleHorizontal(AxisModel) - Method in class jsc.swt.plot2d.AxesPlot: Rescale the X axis.
rescaleVertical(AxisModel) - Method in class jsc.swt.plot2d.AxesPlot: Rescale the X axis.
reset() - Method in class jsc.combinatorics.Permutations: Resets the permutation generating sequence.
reset() - Method in class jsc.combinatorics.MultiSetPermutations: Resets the permutation generating sequence.
reset() - Method in class jsc.combinatorics.GrayCode: Resets the Gray code generating sequence.
reset() - Method in interface jsc.combinatorics.Enumerator: Resets the generating sequence.
reset() - Method in class jsc.swt.text.StatisticalDocument
reset() - Method in class jsc.swt.virtualgraphics.Path: Resets the path to empty.
resetColumnOrder() - Method in class jsc.swt.datatable.Table: Reset column order of table view to original (model) order.
resetEvalCount() - Method in class jsc.mathfunction.AbstractMathFunction: Reset evaluation count to zero.
resetVariables(MathFunctionVariables) - Method in class jsc.mathfunction.AbstractMathFunction: Reset variables interface.
RIGHT - Static variable in class jsc.swt.plot2d.PlotText: Orientation value: text is to the right of its anchor point.
romberg(Function, double, double, double, int) - Static method in class jsc.numerical.Integration: Romberg integration.
romberg(Function, double, double, double, IntegratingFunction) - Static method in class jsc.numerical.Integration: Romberg integration.
Roots - class jsc.numerical.Roots.: This class provides numerical methods for finding the roots of equations.
round(double) - Method in class jsc.swt.text.SigFigFormat: Returns the value of the number rounded to n significant figures.
round(double, int) - Static method in class jsc.util.Maths: Returns x rounded to n decimal places.
RoundRectangle - class jsc.swt.virtualgraphics.RoundRectangle.: This class represents a rectangle with rounded corners in a virtual co-ordinate system.
RoundRectangle(double, double, double, double, double, double) - Constructor for class jsc.swt.virtualgraphics.RoundRectangle: Create the rounded rectangle from given upper-left corner, width and height.
RoundRectangle(VPoint, VDimension, VDimension) - Constructor for class jsc.swt.virtualgraphics.RoundRectangle: Creates the rounded rectangle from given upper-left corner point, width and height specified by a dimension.
RoundRectangle(VPoint, VPoint, VDimension) - Constructor for class jsc.swt.virtualgraphics.RoundRectangle: Create the rectangle from given upper-left and lower-right corner points.
roundSigFigs(double, int) - Static method in class jsc.util.Maths: Returns x rounded to n significant figures.
ROW_DELIMITERS - Static variable in class jsc.swt.datatable.DataTable: Delimiter characters that may separate rows of a data matrix.
ROWS - Static variable in class jsc.swt.datatable.DataClipboard: Copy mode: indicates complete rows of table were copied.

S

sample - Variable in class jsc.event.SampleEvent: Values of sample.
sampleCreated(SampleEvent) - Method in interface jsc.event.SampleListener: Invoked when a two-sample event occurs.
SampleDistributionFunction - class jsc.goodnessfit.SampleDistributionFunction.: Sample distribution function.
SampleDistributionFunction(double[]) - Constructor for class jsc.goodnessfit.SampleDistributionFunction: Create sample distribution function.
SampleEvent - class jsc.event.SampleEvent.: A single sample event.
SampleEvent(Object, double[], double) - Constructor for class jsc.event.SampleEvent: Creates an event from a sample and a statistic.
SampleListener - interface jsc.event.SampleListener.: The listener interface for receiving single sample events.
save(boolean) - Method in class jsc.swt.file.AppFileActions: Save to current file, or a file the user chooses.
save(boolean, MDIWindow) - Method in class jsc.swt.mdi.MDIApplication: Save the specified window to a file.
save(String) - Method in class jsc.swt.util.PropertiesFile: Saves the property list to the current file and then closes the file.
save(String, String) - Method in class jsc.swt.util.PropertiesFile: Saves the property list to a new file and then closes the file.
saveFileChooser - Variable in class jsc.swt.file.AppFileActions: The Save As file chooser dialogue.
saveIni() - Method in class jsc.swt.util.IniFiles: Saves the INI object to the current file and then closes the file.
saveIni(String) - Method in class jsc.swt.util.IniFiles: Saves the INI object to another file and then closes the file.
saveQuery() - Method in class jsc.swt.mdi.MDIApplication: Check whether windows have been changed and, if any have, give user the opportunity to save them.
Scale - class jsc.util.Scale.: This class represents a scale consisting of a minimum, maximum and step length.
Scale() - Constructor for class jsc.util.Scale: Creates a default scale with minimum 0, maximum 1 and two tick marks.
Scale(double, double, int, boolean) - Constructor for class jsc.util.Scale: Creates the scale.
Scale(double, double, int, boolean, boolean) - Constructor for class jsc.util.Scale: Creates the scale.
scale(int, double, double, boolean) - Method in class jsc.util.Scale: This is an algorithm for scaling graphs, giving "nice" upper and lower limits for the axis and "round" numbers for step lengths.
ScatterPlot2D - class jsc.swt.plot2d.ScatterPlot2D.: This class represents a scatterplot.
ScatterPlot2D(AxisModel, AxisModel, double, double, String) - Constructor for class jsc.swt.plot2d.ScatterPlot2D: Creates the scatterplot with given title and AxisModel objects.
ScatterPlot2D(AxisModel, AxisModel, String) - Constructor for class jsc.swt.plot2d.ScatterPlot2D: Creates the scatterplot with given title and AxisModel objects.
Schema - class jsc.swt.virtualgraphics.Schema.: This class represents a schema in a virtual co-ordinate system.
Schema(OrderStatistics, double, double) - Constructor for class jsc.swt.virtualgraphics.Schema: Create a schema using order statistics of a batch of data.
scientificFormat - Variable in class jsc.mathfunction.AbstractMathFunction: Format for numbers in scientific notation.
scientificFormat - Variable in class jsc.swt.text.RealFormat: Format for numbers in scientific notation.
scottBins(int) - Static method in class jsc.swt.plot2d.Histogram2D: Returns a suitable number of class intervals for a histogram of sample size n.
scottBinWidth(int, double) - Static method in class jsc.swt.plot2d.Histogram2D: Returns a suitable class interval width for a histogram of specified sample size and sample standard deviation.
scottBinWidth(int, double, double) - Static method in class jsc.swt.plot2d.Histogram2D: Returns a suitable class interval width for a histogram of specified sample size and range of variate.
sd() - Method in class jsc.distributions.Normal
sd() - Method in class jsc.distributions.ExtremeValue
sd() - Method in class jsc.distributions.Exponential: Returns the standard deviation of the distribution.
sd() - Method in class jsc.distributions.AbstractDistribution: Returns the standard deviation of the distribution if it exists.
sdf - Variable in class jsc.goodnessfit.KolmogorovTypeTest: The sample distribution function S(x).
secant(Function, double, double, double, int) - Static method in class jsc.numerical.Roots: Solve f(x) = 0 using the secant method.
SEE_THRU - Static variable in class jsc.swt.plot2d.PlotPanel: This constant can be used as the argument in the setObjectComposite() method.
selectAll() - Method in class jsc.swt.mdi.MDIWindow: Select all of document.
selectAll() - Method in class jsc.swt.mdi.MDIEditorWindow: Select all text in window.
Selection - interface jsc.combinatorics.Selection.: Defines an interface for selections from combinatorial structures.
selectNone() - Method in class jsc.swt.mdi.MDIWindow: Remove all selections.
selectNone() - Method in class jsc.swt.mdi.MDIEditorWindow: Unselect any selected text.
sequence(int) - Static method in class jsc.util.Arrays: Returns an array containing consecutive integers from 0 to n-1.
sequence(int, int) - Static method in class jsc.util.Arrays: Returns an array containing consecutive integers from m to n.
setAlignment(int) - Method in class jsc.swt.text.StatisticalDocument
setAlignment(int, int, int) - Method in class jsc.swt.text.StatisticalDocument
setAlignmentCentre() - Method in class jsc.swt.text.StatisticalDocument
setAlignmentLeft() - Method in class jsc.swt.text.StatisticalDocument
setAlignmentRight() - Method in class jsc.swt.text.StatisticalDocument
setAlpha(double) - Method in class jsc.distributions.LogarithmicSeries: Changes parameter alpha.
setAnchorPoint(VPoint) - Method in class jsc.swt.plot2d.PlotText: Sets the anchor point of the text.
setAngle(double) - Method in class jsc.swt.plot2d.PlotText: Change the angle of the text.
setAntialiasing(boolean) - Method in class jsc.swt.plot2d.PlotPanel: Sets antialiasing on/off for the drawing of objects.
setBeadColour(Color) - Method in class jsc.swt.plot.BeadSliderUI: Changes the colour of the bead.
setBeadColour(Color) - Method in class jsc.swt.plot.BeadSlider: Changes the colour of the bead.
setBeads(AxisModel, double, double, double[]) - Method in class jsc.swt.plot2d.SplinePlot2D: Change the X axis of the plot and the coordinates of the beads.
setBrowserPath(String) - Method in class jsc.swt.datatable.DataWindow: Specifies the browser path for displaying HTML help pages.
setBrowserPath(String) - Method in class jsc.swt.help.HelpAction: Changes the browser path.
setCalculator(DataCalculator) - Method in class jsc.swt.datatable.DataWindow: Changes the calculator displayed by the window.
setChanged(boolean) - Method in class jsc.swt.datatable.DataWindow: Set changed status.
setChanged(boolean) - Method in class jsc.swt.datatable.DataTable: Set changed status.
setChanged(boolean) - Method in class jsc.swt.datatable.DataModel: Set changed status.
setChanged(boolean) - Method in class jsc.swt.file.AppFileActions: Sets the changed status of the file.
setChanged(boolean) - Method in class jsc.swt.mdi.MDIWindow: Set changed status.
setChanged(boolean) - Method in class jsc.swt.plot2d.SplinePlot2D: Resets changed status of plot.
setClearEnabled(boolean) - Method in class jsc.swt.mdi.MDIApplication: Enable/disable Clear menu item.
setClipping(boolean) - Method in class jsc.swt.plot2d.AxesPlot: Sets clipping of drawing outside range of axes.
setCode(int, int) - Method in class jsc.mathfunction.CodeList: Sets the code identifying constant, variable or operator in jth line of the code list.
setColour(Color) - Method in class jsc.swt.plot2d.TickMark: Sets the colour of the tick mark.
setColour(Color) - Method in class jsc.swt.plot2d.PlotText: Sets the colour of the text.
setColour(Color) - Method in class jsc.swt.plot2d.PlotShape: Sets the colour for drawing and solid filling the object.
setColour(Color) - Method in class jsc.swt.plot2d.Marker: Sets the colour of the marker.
setColumnClass(int, Class) - Method in class jsc.swt.datatable.DataTable: Given index of column in table's view, change class of column.
setColumnClass(int, Class) - Method in class jsc.swt.datatable.DataModel: Change the class of column c.
setColumnClass(int, Class) - Method in class jsc.swt.datatable.DataMatrix: Change the class of column c.
setColumnName(int, String) - Method in class jsc.swt.datatable.DataTable: Given index of column in table's view, change name of column.
setColumnName(int, String) - Method in class jsc.swt.datatable.DataModel: Change the name of column c.
setColumnName(int, String) - Method in class jsc.swt.datatable.DataMatrix: Change the name of column c.
setComponentBounds(int, VPoint, VDimension) - Method in class jsc.swt.plot2d.PlotPanel: Sets the bounds of the plot component having the specified index using the specified virtual location and size.
setComponentBounds(int, VRectangle) - Method in class jsc.swt.plot2d.PlotPanel: Sets the bounds of the plot component having the specified index to the specified virtual rectangle.
setConfidenceCoeff(double) - Method in interface jsc.ci.ConfidenceInterval: Specifies the confidence coefficient.
setConfidenceCoeff(double) - Method in interface jsc.ci.ConfidenceBand: Specifies the confidence coefficient.
setConfidenceCoeff(double) - Method in class jsc.ci.AbstractConfidenceInterval: Specifies the confidence coefficient.
setConfidenceCoeff(double) - Method in class jsc.correlation.LinearCorrelation: Changes the confidence coefficient.
setConfidenceCoeff(double) - Method in class jsc.goodnessfit.KolmogorovCB: Specifies the confidence coefficient.
setConfidenceCoeff(double) - Method in class jsc.independentsamples.TwoSampleTtest: Changes the confidence coefficient.
setConfirmCloseMessage(String) - Method in class jsc.swt.file.AppFileActions: Change the text of the save file query message.
setCopyEnabled(boolean) - Method in class jsc.swt.mdi.MDIApplication: Enable/disable Copy menu item and toolbar button.
setCopyMode(int) - Method in class jsc.swt.datatable.DataClipboard: Sets the copy mode of the clipboard.
setCutEnabled(boolean) - Method in class jsc.swt.mdi.MDIApplication: Enable/disable Cut menu item and toolbar button.
setCutOff(boolean) - Method in class jsc.swt.plot2d.SplinePlot2D: If cutOff is true, the spline curve is not plotted below the X-axis.
setData(double[], int, String) - Method in class jsc.swt.datatable.DataTable: Write elements of a double array into a column of the data table, starting at row 0 and adding rows to the data table as necessary.
setData(int[]) - Method in class jsc.descriptive.Tally: Recalculates the frequencies using new data and the existing bin structure.
setDecimalFormat(DecimalFormat) - Method in class jsc.mathfunction.AbstractMathFunction: Changes the format for parsing decimal numbers.
setDecimalFormatPattern(String) - Method in class jsc.mathfunction.AbstractMathFunction: Changes the format pattern for parsing decimal numbers.
setDefaultButtonEnabled(boolean) - Method in class jsc.swt.dialogue.Dialogue: Enables/disables the default button of the dialogue.
setDefaultColour(Color) - Method in class jsc.swt.plot2d.PlotText: Sets the default colour of PlotText objects that are created without the colour being specified.
setDefaultColour(Color) - Static method in class jsc.swt.plot2d.PlotShape: Sets the default colour for drawing and solid filling objects that are created without the colour being specified.
setDefaultColour(Color) - Static method in class jsc.swt.plot2d.Marker: Sets the default colour for drawing and solid filling markers that are created without the colour being specified.
setDefaultColumnClass(Class) - Method in class jsc.swt.datatable.DataTable: Set default class of columns.
setDefaultColumnClass(Class) - Method in class jsc.swt.datatable.DataModel: Set default class of columns.
setDefaultColumnClass(Class) - Method in class jsc.swt.datatable.DataMatrix: Set default class of columns.
setDefaultFileName(String) - Method in class jsc.swt.file.AppFileActions: Change the default file name that appears in the Save As dialogue if the current file is null.
setDefaultFont(Font) - Method in class jsc.swt.plot2d.PlotText: Sets the default font of PlotText objects that are created without the font being specified.
setDefaultPaint(Paint) - Static method in class jsc.swt.plot2d.PlotShape: Sets the default paint style for drawing and filling objects that are created without the paint style being specified.
setDefaultSize(int) - Static method in class jsc.swt.plot2d.Marker: Sets the default size for drawing markers that are created without the size being specified.
setDefaultStroke(Stroke) - Static method in class jsc.swt.plot2d.PlotShape: Sets the default stroke style for drawing objects that are created without the stroke style being specified.
setDefaultStroke(Stroke) - Static method in class jsc.swt.plot2d.Marker: Sets the default stroke style for drawing markers that are created without the stroke style being specified.
setDelay(int) - Method in class jsc.swt.control.SpeedSlider: Set the slider position to correspond to the specified delay.
setDescription(String) - Method in class jsc.swt.file.ExampleFileFilter: Sets the human readable description of this filter.
setDf(double) - Method in class jsc.distributions.StudentsT: Change "degrees of freedom" parameter.
setDistribution(double[], double) - Method in class jsc.distributions.Discrete: Change the distribution using a new array of data values.
setDistribution(double[], double[], boolean, double) - Method in class jsc.distributions.Discrete: Change the distribution's array of variate-values and array of corresponding probabilities.
setDistribution(DoubleTally) - Method in class jsc.distributions.Discrete: Change the distribution using a new tally of data values.
setEditable(boolean) - Method in class jsc.swt.datatable.DataTable: Set editable status of table.
setEditable(boolean) - Method in class jsc.swt.datatable.DataModel: Set editable status of table.
setEditEnabled(boolean) - Method in class jsc.swt.mdi.MDIApplication: Enable/disable Copy, Clear & Cut menu items and toolbar buttons.
setEnabled(boolean) - Method in class jsc.swt.menu.PrintMenu: Enables or disables the menu and its items.
setExtensionListInDescription(boolean) - Method in class jsc.swt.file.ExampleFileFilter: Determines whether the extension list (.jpg, .gif, etc) should show up in the human readable description.
setFile(File) - Method in class jsc.swt.file.AppFileActions: Change the current file.
setFile(File) - Method in interface jsc.swt.file.AppFile: Change the current application file.
setFile(File) - Method in class jsc.swt.mdi.MDIWindow: Sets the file currently associated with the window, or null if no file associated with window.
setFilled(boolean) - Method in class jsc.swt.plot2d.PlotShape: Specifies whether the object should be filled.
setFilled(boolean) - Method in class jsc.swt.plot2d.Marker: Sets if this marker's shape should be filled when drawn.
setFocusAccelerator(char) - Method in class jsc.swt.control.PosIntegerComboBox
setFocusColour(Color) - Method in class jsc.swt.control.ToolBar: Sets the background colour of buttons when they gain focus.
setFocusColour(Color) - Method in class jsc.swt.dialogue.NamePairDialogue: Sets the colour of the border when a list gains focus.
setFocusColour(Color) - Method in class jsc.swt.plot.BeadSliderUI: Changes the colour of the slider's focus rectangle.
setFocusColour(Color) - Method in class jsc.swt.plot.BeadSlider: Changes the colour of the slider's focus rectangle.
setFocusColour(Color) - Method in class jsc.swt.plot2d.SplinePlot2D: Changes the colour of the focus rectangles of the sliders.
setFocusColour(Color) - Method in class jsc.swt.plot2d.PlotPanel: Sets the colour of the border when the plot gains focus.
setFont(Font) - Method in class jsc.swt.plot2d.PlotText: Sets the font of the text.
setFontFamily(String) - Method in class jsc.swt.text.StatisticalDocument
setFontSize(int) - Method in class jsc.swt.text.StatisticalDocument
setGap(int) - Method in class jsc.swt.plot2d.PlotText: Change the distance of the text from the anchor point.
setGroupingSeparator(char) - Method in class jsc.swt.control.DisplayField: Changes the character used for the thousands separator in real values displayed in the field.
setGroupingSeparator(char) - Method in class jsc.swt.text.RealFormat: Changes the character used for the thousands separator in formatted values.
setGroupingSeparator(char) - Method in class jsc.swt.text.IntegerFormat: Changes the character used for the thousands separator in formatted values.
setGroupingUsed(boolean) - Method in class jsc.swt.control.DisplayField: Set whether or not thousands grouping will be used in numerical values displayed in the field.
setGroupingUsed(boolean) - Method in class jsc.swt.text.RealFormat: Set whether or not thousands grouping will be used in formatted values.
setGroupingUsed(boolean) - Method in class jsc.swt.text.IntegerFormat: Set whether or not thousands grouping will be used in formatted values.
setIllegalCharacters(String) - Method in class jsc.swt.control.IllegalCharactersField: Reset the string of illegal characters.
setInitialHelpPage(String) - Method in class jsc.swt.datatable.DataWindow: Specifies the initial HTML help page that is opened when help is invoked.
setInitialHelpPage(String) - Method in class jsc.swt.help.HelpAction: Changes the initial help page.
setIntegerFormat(IntegerFormat) - Method in class jsc.swt.control.DisplayField: Assigns a new integer formatter to the field.
setIntegerValue(int) - Method in class jsc.swt.control.IntegerLogSlider: Sets the position of the slider's pointer to correspond to value x.
setIntegerValue(int) - Method in class jsc.swt.control.DisplayField: Sets the integer value displayed in the field.
setInterval(double, double) - Method in class jsc.distributions.Uniform: Change the interval, that is the parameters "a" and "b" of the distribution.
setInterval(long, long) - Method in class jsc.distributions.DiscreteUniform: Change the interval.
setLabel(String) - Method in class jsc.swt.plot.PiAxisModel
setLabel(String) - Method in class jsc.swt.plot.LinearAxisModel
setLabel(String) - Method in interface jsc.swt.plot.AxisModel: Changes the axis label.
setLabelColour(Color) - Method in class jsc.swt.control.SpeedSlider: Set the colour of the font of the slider's labels.
setLabelFont(Font) - Method in class jsc.swt.control.SpeedSlider: Set the font of the slider's labels.
setLabels(double[], String) - Method in class jsc.swt.control.RealSlider: Gives the slider a new set of labelled tick marks.
setLeft(int, int) - Method in class jsc.mathfunction.CodeList: Sets code identifying left argument in jth line of the code list.
setLegalCharacters(String) - Method in class jsc.swt.control.LegalCharactersField: Reset the string of legal characters.
setLocation(int, int) - Method in class jsc.swt.dialogue.Dialogue: Sets the location of the dialogue relative to the current parent component.
setLocation(Point) - Method in class jsc.swt.dialogue.Dialogue: Sets the location of the dialogue relative to the current parent component.
setLocation(VPoint) - Method in class jsc.swt.plot2d.TickMark: Sets the location of the tick mark.
setLocation(VPoint) - Method in class jsc.swt.plot2d.Marker: Sets the location of the marker.
setLocationRelativeTo(Component) - Method in class jsc.swt.dialogue.Dialogue: Sets the location of the dialogue relative to the specified component.
setMarkerColour(Color) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the colour of all the markers in the plot.
setMarkerColour(int, Color) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the colour of the marker with the given index.
setMarkerLocation(int, VPoint) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the location of the marker with the given index.
setMarkerSize(int) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the size of all the markers in the plot.
setMarkerSize(int, int) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the size of the marker with the given index.
setMarkerStroke(int, Stroke) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the stroke style of the marker with the given index.
setMarkerStroke(Stroke) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the stroke style of all the markers in the plot.
setMarkerType(int) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the type of all the markers in the plot.
setMarkerType(int, int) - Method in class jsc.swt.plot2d.ScatterPlot2D: Sets the type of the marker with the given index.
setMaximumWidth(int) - Method in class jsc.swt.text.MaxWidthFormat: Set the maximum number of characters.
setMean(double) - Method in class jsc.distributions.Poisson: Set the mean of the distribution.
setMean(double) - Method in class jsc.distributions.Normal: Sets the mean of the distribution.
setMean(double) - Method in class jsc.distributions.Exponential: Sets the mean of the distribution.
setModel(AxisModel) - Method in class jsc.swt.plot2d.VerticalAxis: Given a new model, returns a vertical axis with the same graphical attributes as this axis.
setModel(AxisModel) - Method in class jsc.swt.plot2d.HorizontalAxis: Given a new model, returns a horizontal axis with the same graphical attributes as this axis.
setN(long) - Method in class jsc.distributions.Binomial: Change the "number of trials" parameter.
setName(String) - Method in class jsc.descriptive.AbstractFrequencyTable: Set the name of the table.
setNativeLookAndFeel() - Static method in class jsc.Utilities: Set the "look and feel" of graphical components to the native one for the system.
setObjectComposite(Composite) - Method in class jsc.swt.plot2d.PlotPanel: Sets the compositing rule for drawing plot objects.
setOpen(boolean) - Method in class jsc.distributions.AbstractContinuousDistribution: Specify whether the variate can be defined on a closed or open finite interval.
setOrientation(int) - Method in class jsc.swt.plot2d.PlotText: Change the orientation of the text relative to the current anchor point.
setP(double) - Method in class jsc.distributions.Geometric1: Change the "probability of success" parameter, p.
setP(double) - Method in class jsc.distributions.Geometric: Change the "probability of success" parameter, p.
setP(double) - Method in class jsc.distributions.Binomial: Change the "probability of success" parameter.
setPaint(Paint) - Method in class jsc.swt.plot2d.PlotShape: Sets the paint style for drawing and solid filling the object.
setPaintLabels(boolean) - Method in class jsc.swt.plot2d.Axis: Determines whether tick mark value labels appear on the axis.
setPaintXaxis(boolean) - Method in class jsc.swt.plot2d.AxesPlot: Determines whether X axis is drawn.
setPaintYaxis(boolean) - Method in class jsc.swt.plot2d.AxesPlot: Determines whether Y axis is drawn.
setParameters(double, double) - Method in class jsc.distributions.NoncentralStudentsT: Change parameters of distribution.
setParameters(double, double) - Method in class jsc.distributions.NoncentralChiSquared: Change parameters of distribution.
setParameters(double, double, double) - Method in class jsc.distributions.NoncentralFishersF: Change parameters of the distribution.
setParameters(double, double, double) - Method in class jsc.distributions.NoncentralBeta: Change the parameters of the distribution.
setParameters(int, int, int, double, double) - Method in class jsc.distributions.ExtendedHypergeometric: Change parameters of the distribution.
setPasteEnabled(boolean) - Method in class jsc.swt.mdi.MDIApplication: Enable/disable Paste menu item and toolbar button.
setProperty(String, boolean) - Method in class jsc.swt.util.PropertiesFile: Sets the value of the named property.
setProperty(String, double) - Method in class jsc.swt.util.PropertiesFile: Sets the value of the named property.
setProperty(String, int) - Method in class jsc.swt.util.PropertiesFile: Sets the value of the named property.
setProperty(String, long) - Method in class jsc.swt.util.PropertiesFile: Sets the value of the named property.
setRealFormat(RealFormat) - Method in class jsc.swt.control.RealField: Assigns a new real formatter to the field.
setRealFormat(RealFormat) - Method in class jsc.swt.control.PosRealField: Assigns a new real formatter to the field.
setRealFormat(RealFormat) - Method in class jsc.swt.control.DisplayField: Assigns a new real formatter to the field.
setRealFormat(RealFormat) - Method in class jsc.swt.text.StatisticalDocument: Assigns a new real formatter.
setRealValue(double) - Method in class jsc.swt.control.RealSlider: Sets the position of the slider's pointer to correspond to real value x.
setRealValue(double) - Method in class jsc.swt.control.RealLogSlider: Sets the position of the slider's pointer to correspond to real value x.
setRealValue(double) - Method in class jsc.swt.control.DisplayField: Sets the real value displayed in the field.
setRight(int, int) - Method in class jsc.mathfunction.CodeList: Sets code identifying right argument in jth line of the code list.
setRowIndex(int) - Method in class jsc.swt.datatable.CalculatorVariables: Sets the row of the data table to be used in the calculation.
setScientificFormat(DecimalFormat) - Method in class jsc.mathfunction.AbstractMathFunction: Changes the format for parsing numbers in scientific notation.
setScientificFormatPattern(String) - Method in class jsc.mathfunction.AbstractMathFunction: Changes the format pattern for parsing numbers in scientific notation.
setSd(double) - Method in class jsc.distributions.Normal: Sets the standard deviation of the distribution.
setSeed(long) - Method in class jsc.combinatorics.Permutations: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.combinatorics.MultiSetPermutations: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.combinatorics.GrayCode: Initialize the random number generator with a seed value.
setSeed(long) - Method in interface jsc.combinatorics.Enumerator: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.distributions.StudentsT
setSeed(long) - Method in class jsc.distributions.NoncentralStudentsT
setSeed(long) - Method in class jsc.distributions.NoncentralFishersF
setSeed(long) - Method in class jsc.distributions.NoncentralBeta
setSeed(long) - Method in class jsc.distributions.FishersF
setSeed(long) - Method in interface jsc.distributions.Distribution: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.distributions.Beta
setSeed(long) - Method in class jsc.distributions.AbstractDistribution: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.tests.ResampleTest: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.tests.PermutationTest: Initialize the random number generator with a seed value.
setSeed(long) - Method in class jsc.tests.BootstrapTest: Initialize the random number generator with a seed value.
setSelectedValue(int) - Method in class jsc.swt.menu.DigitsMenu: Selects the give value on the menu.
setSelection(boolean) - Method in class jsc.swt.mdi.MDIWindow: Set selection status.
setShape(double, double) - Method in class jsc.distributions.Beta: Change shape parameters of the distribution.
setShape(Shape) - Method in class jsc.swt.plot2d.PlotShape: Sets the object's shape.
setSignificantDigits(int) - Method in class jsc.swt.datatable.Table: Change the format of displayed real values.
setSignificantDigits(int) - Method in class jsc.swt.text.SigFigFormat: Set the number of significant figures to n.
setSize(double, double) - Method in class jsc.swt.virtualgraphics.VDimension: Sets the size of the dimension to the given width and height.
setSize(int) - Method in class jsc.mathfunction.CodeList: Sets the size of the code list.
setSize(int) - Method in class jsc.swt.plot2d.TickMark: Sets the size (in pixels) of the tick mark.
setSize(int) - Method in class jsc.swt.plot2d.Marker: Sets the size (in pixels) of the marker.
setSize(int, int) - Method in class jsc.swt.accessory.Calculator: Resizes the dialogue.
setSize(int, int) - Method in class jsc.swt.datatable.StatisticalCalculator: Resizes the dialogue.
setSize(int, int) - Method in class jsc.swt.dialogue.Dialogue: Resizes the dialogue and centers it in the current parent compnent.
setSliderY(double[], double[], double[]) - Method in class jsc.swt.plot2d.SplinePlot2D: Change the ordinates of the sliders and beads.
setSliderY(double, double, double[]) - Method in class jsc.swt.plot2d.SplinePlot2D: Change the ordinates of the sliders and beads.
setStatistic(double) - Method in class jsc.event.StatisticEvent: Set the value of the statistic.
setString(String) - Method in class jsc.swt.plot2d.PlotText: Change the text string.
setStroke(Stroke) - Method in class jsc.swt.plot2d.TickMark: Sets the pen style for drawing the tick mark.
setStroke(Stroke) - Method in class jsc.swt.plot2d.PlotShape: Sets the pen style for drawing the object.
setStroke(Stroke) - Method in class jsc.swt.plot2d.Marker: Sets the pen style for drawing the marker.
setTargetProportion(double) - Method in class jsc.swt.plot2d.ProportionPlot2D: Change the target proportion.
setTextAntialiasing(boolean) - Method in class jsc.swt.plot2d.PlotPanel: Sets text antialiasing on/off.
setTickLabelFormat(RealFormat) - Method in class jsc.swt.plot.LinearAxisModel: Changes the format of the tick mark labels.
setTitle(String) - Method in class jsc.swt.mdi.MDIApplication: Change title of application window to display file name after title.
setTitle(String, Color, Font) - Method in class jsc.swt.plot2d.AxesPlot: Changes the title of the plot.
setTolerance(double) - Method in class jsc.distributions.AbstractContinuousDistribution: Set the tolerance for the numerical approximations used in the default methods.
setType(int) - Method in class jsc.swt.plot2d.VerticalBarChart: Set the type of histogram: FREQUENCY, PROPORTION or PERCENTAGE.
setType(int) - Method in class jsc.swt.plot2d.StandardMarker: Sets the type of the marker.
setType(int) - Method in class jsc.swt.plot2d.Marker: Sets the type of the marker.
setType(int) - Method in class jsc.swt.plot2d.Histogram2D: Set the type of histogram: FREQUENCY, RELATIVE or NORMALIZED.
setType(int, int) - Method in class jsc.mathfunction.CodeList: Sets type of code in jth line of the code list: CONSTANT, VARIABLE, UNARY_OP, BINARY_OP.
setValue(double) - Method in class jsc.swt.control.RealField: Sets the value displayed in the field.
setValue(double) - Method in class jsc.swt.control.PosRealField: Sets the value displayed in the field.
setValue(double, int) - Method in class jsc.mathfunction.CodeList: Sets the value of the label function f(j) at jth line of the code list.
setValue(int) - Method in class jsc.swt.control.PosIntegerLabelledField: Deprecated. Sets the value displayed in the field.
setValue(int) - Method in class jsc.swt.control.PosIntegerField: Sets the integer value displayed in the field.
setValue(int) - Method in class jsc.swt.control.PosIntegerComboBox: Sets the integer value displayed in the control.
setValue(int) - Method in class jsc.swt.control.IntegerField: Sets the integer value displayed in the field.
setValue(int) - Method in class jsc.swt.control.IntegerComboBox: Sets the integer value displayed in the control.
setValue(String, String, boolean) - Method in class jsc.swt.util.IniFiles: Sets the value of the named key in the named section.
setValue(String, String, int) - Method in class jsc.swt.util.IniFiles: Sets the value of the named key in the named section.
setValue(String, String, long) - Method in class jsc.swt.util.IniFiles: Sets the value of the named key in the named section.
setValue(String, String, String) - Method in class jsc.swt.util.IniFiles: Sets the value of the named key in the named section.
setValueAt(Object, int, int) - Method in class jsc.swt.datatable.RecodeModel
setValueAt(Object, int, int) - Method in class jsc.swt.datatable.DataModel: Assign the value at the given row and column.
setValueAt(Object, int, int) - Method in class jsc.swt.datatable.DataMatrix: Assign the value at the given row and column.
setVariableValue(double) - Method in class jsc.mathfunction.SingleVariable: Sets value of variable.
setVariableValue(int, double) - Method in class jsc.mathfunction.TwoVariables: Sets value of variable.
setVariableValue(int, double) - Method in class jsc.mathfunction.SubscriptedVariable: Sets value of a variable.
setVariableValue(int, double) - Method in class jsc.mathfunction.MultiVariables: Sets value of a variable.
setVariance(double) - Method in class jsc.distributions.Normal: Sets the variance of the distribution.
setVirtualSpace(VRectangle) - Method in class jsc.swt.plot2d.PlotPanel: Specifies the virtual plotting area.
setWindingRule(int) - Method in class jsc.swt.virtualgraphics.Path: Sets the winding rule for this path to the specified value.
setWriteFileErrorMessage(String) - Method in class jsc.swt.file.AppFileActions: Change the text of the write file error message.
setZoomable(boolean) - Method in class jsc.swt.plot2d.PlotPanel: Sets whether or not this plot should have zooming capability.
setZoomBoxColour(Color) - Method in class jsc.swt.plot2d.PlotPanel: Sets the line colour of the zooming box.
setZoomBoxStroke(Stroke) - Method in class jsc.swt.plot2d.PlotPanel: Sets the stroke style of the zooming box.
show() - Method in class jsc.swt.accessory.Calculator: Display the dialogue.
show() - Method in class jsc.swt.datatable.StatisticalCalculator: Display the dialogue.
show() - Method in class jsc.swt.datatable.DataCalculator: Display the calculator.
show() - Method in class jsc.swt.dialogue.Dialogue: Display the dialogue.
showFileWriteErrorMessage(File) - Method in class jsc.swt.file.AppFileActions: Display file write error massage.
showHelp(Component, String) - Static method in class jsc.swt.help.HelpAction: Displays the help page in the user's "Explorer" (usually Internet Explorer browser for an HTML file), or if the explorer cannot be found, in a HelpWindow.
showHelp(Component, String, String) - Static method in class jsc.swt.help.HelpAction: Displays the help page in the user's web browser, or if browser cannot be found, in a HelpWindow.
showHelpWindow(Component, String) - Static method in class jsc.swt.help.HelpAction: Displays the help page in a HelpWindow.
showNames() - Method in class jsc.swt.dialogue.NameTabbedDialogue: Displays the dialogue.
showNames() - Method in class jsc.swt.dialogue.NamePairDialogue: Displays the dialogue.
showNames() - Method in class jsc.swt.dialogue.NameDialogue: Display the dialogue.
SigFigFormat - class jsc.swt.text.SigFigFormat.: This class formats real numbers to n significant figures.
SigFigFormat(int) - Constructor for class jsc.swt.text.SigFigFormat: Create the format for formatting numbers to n significant figures, for the default locale.
SigFigFormat(int, Locale) - Constructor for class jsc.swt.text.SigFigFormat: Create the format for formatting numbers to n significant figures, for the specified locale.
SIGN - Static variable in class jsc.mathfunction.StatisticalMathFunction: Sign function. sign(x) returns -1 if x < 0, returns 0 if x = 0, returns 1 if x > 0.
SIGN - Static variable in class jsc.mathfunction.StandardMathFunction: Sign function. sign(x) returns -1 if x < 0, returns 0 if x = 0, returns 1 if x > 0.
sign(double) - Static method in class jsc.util.Maths: Sign function.
SignificanceTest - interface jsc.tests.SignificanceTest.: Defines the interface for significance tests.
SignMedianCI - class jsc.onesample.SignMedianCI.: Confidence interval for median of a distribution.
SignMedianCI(double[], double) - Constructor for class jsc.onesample.SignMedianCI: Create confidence interval.
SignMedianCI(PairedData, double) - Constructor for class jsc.onesample.SignMedianCI: Create confidence interval for the median difference between two samples of paired data.
SignTest - class jsc.onesample.SignTest.: This class represents a sign test for the median of a distribution.
SignTest(double[], double) - Constructor for class jsc.onesample.SignTest: Create significance test results.
SignTest(double[], double, H1) - Constructor for class jsc.onesample.SignTest: Create significance test results.
SignTest(PairedData) - Constructor for class jsc.onesample.SignTest: Create significance test results from paired data.
SignTest(PairedData, H1) - Constructor for class jsc.onesample.SignTest: Create significance test results for paired data.
SIN - Static variable in class jsc.mathfunction.StatisticalMathFunction: Sine function.
SIN - Static variable in class jsc.mathfunction.StandardMathFunction: Sine function.
SingleVariable - class jsc.mathfunction.SingleVariable.: This class is provided as a convenient implementation of the MathFunctionVariables interface for a single variable.
SingleVariable(String) - Constructor for class jsc.mathfunction.SingleVariable: Creates the variable object for the named variable.
SINH - Static variable in class jsc.mathfunction.StatisticalMathFunction: Hyperbolic sine function.
SINH - Static variable in class jsc.mathfunction.StandardMathFunction: Hyperbolic sine function.
size() - Method in class jsc.mathfunction.CodeList: Returns size of code list.
sizeA() - Method in class jsc.independentsamples.TwoSampleTtest
sizeA() - Method in interface jsc.independentsamples.TwoSampleStatistic: Returns the number of values in sample A.
sizeA() - Method in class jsc.independentsamples.MannWhitneyTest
sizeB() - Method in class jsc.independentsamples.TwoSampleTtest
sizeB() - Method in interface jsc.independentsamples.TwoSampleStatistic: Returns the number of values in sample B.
sizeB() - Method in class jsc.independentsamples.MannWhitneyTest
SMALL_SAMPLE_SIZE - Static variable in class jsc.onesample.WilcoxonMedianCI: Sample sizes greater than this are taken to be large enough to use the normal approximation.
SmirnovTest - class jsc.independentsamples.SmirnovTest.: This class represents a Kolmogorov-Smirnov test for two samples.
SmirnovTest(double[], double[]) - Constructor for class jsc.independentsamples.SmirnovTest: Create significance test results.
SmirnovTest(double[], double[], H1) - Constructor for class jsc.independentsamples.SmirnovTest: Create significance test results.
SmirnovTest(double[], double[], H1, boolean) - Constructor for class jsc.independentsamples.SmirnovTest: Create significance test results.
Sort - class jsc.util.Sort.: This class provides some sorting functions.
sort(double[], int[], int, int, boolean) - Static method in class jsc.util.Sort: This performs a quicksort on the elements of a double array.
sort(Double[], int[], int, int, boolean) - Static method in class jsc.util.Sort: This performs a quicksort on the elements of a Double array.
sortDoubles(double[], double[], int, int, boolean) - Static method in class jsc.util.Sort: This performs a quicksort on the elements of a double array.
sortInts(int[], int[], int, int, boolean) - Static method in class jsc.util.Sort: This performs a quicksort on the elements of an integer array.
sortRows(String, boolean) - Method in class jsc.swt.datatable.DataTable: Sort all values in the named column and reorder the rows of the table accordingly.
sortStrings(String[], String[], int, int, boolean) - Static method in class jsc.util.Sort: This performs a quicksort on the elements of a string array (case insensitive).
SpearmanCorrelation - class jsc.correlation.SpearmanCorrelation.: Spearman rank correlation coefficient.
SpearmanCorrelation(PairedData) - Constructor for class jsc.correlation.SpearmanCorrelation: Calculates the Spearman correlation coefficient and significance probability.
SpearmanCorrelation(PairedData, H1) - Constructor for class jsc.correlation.SpearmanCorrelation: Calculates the Spearman correlation coefficient and significance probability.
SpearmanCorrelation(PairedData, H1, double) - Constructor for class jsc.correlation.SpearmanCorrelation: Calculates the Spearman correlation coefficient and significance probability.
SpearmanCorrelation(PairedData, H1, double, boolean) - Constructor for class jsc.correlation.SpearmanCorrelation: Calculates the Spearman correlation coefficient and significance probability.
SpeedSlider - class jsc.swt.control.SpeedSlider.: This class represents a horizontal slider for controlling the speed of a process, animation, simulation etc.
SpeedSlider(int, int, int) - Constructor for class jsc.swt.control.SpeedSlider: Creates the speed slider for the specified minimum, maximum and initial delay times.
Spline - class jsc.numerical.Spline.: This class provides cubic spline interpolation.
Spline(int, double[], double[]) - Constructor for class jsc.numerical.Spline: Construct the spline object.
SplinePlot2D - class jsc.swt.plot2d.SplinePlot2D.: This class represents the plot of a flexible curve that can be shaped by the user using an array of equally spaced "beads" on the curve.
SplinePlot2D(String, AxisModel, AxisModel, double, double, int, double[], int, Color, int, Color) - Constructor for class jsc.swt.plot2d.SplinePlot2D: Creates the spline plot.
SplinePlot2D(String, AxisModel, AxisModel, double, double, int, double[], int, Color, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.SplinePlot2D: Creates the spline plot.
SplinePlot2D(String, AxisModel, AxisModel, double, double, int, double[], int, Color, int, Color, Stroke, Paint, boolean) - Constructor for class jsc.swt.plot2d.SplinePlot2D: Creates the spline plot.
SplineShape - class jsc.distributions.SplineShape.: This class represents a continuous distribution having probability density function defined by the shape of a spline curve.
SplineShape(int, double[], double[]) - Constructor for class jsc.distributions.SplineShape: Create a continuous distribution whose pdf has the shape of a spline fitting a table of n points.
SplineShape(Spline) - Constructor for class jsc.distributions.SplineShape: Create a continuous distribution whose pdf has the shape of a spline.
splint(double) - Method in class jsc.numerical.Spline: Evaluate spline at xx.
SQRT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Square root function.
SQRT - Static variable in class jsc.mathfunction.StandardMathFunction: Square root function.
SQRT - Static variable in class jsc.swt.datatable.DataTable: Indicates square-root transformation of values in a column of the table.
SQUARE - Static variable in class jsc.swt.datatable.DataTable: Indicates squaring transformation of values in a column of the table.
SQUARE - Static variable in class jsc.swt.plot2d.StandardMarker: Constant used to define the type of marker that takes the form of a square.
StandardMarker - class jsc.swt.plot2d.StandardMarker.: This class represents a marker that can take ten standard types of shape.
StandardMarker(VPoint, int) - Constructor for class jsc.swt.plot2d.StandardMarker: Creates the marker with given center point p, type, default size, default colour and default stroke style.
StandardMarker(VPoint, int, int) - Constructor for class jsc.swt.plot2d.StandardMarker: Creates the marker with given center point p, type, size, default colour and default stroke style.
StandardMarker(VPoint, int, int, Color) - Constructor for class jsc.swt.plot2d.StandardMarker: Creates the marker with given center point p, type, size, colour and default stroke style.
StandardMarker(VPoint, int, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.StandardMarker: Creates the marker with given center point p, type, size, colour and stroke style.
StandardMathFunction - class jsc.mathfunction.StandardMathFunction.: This subclass of AbstractMathFunction defines an algebra for mathematical expressions that should suit most applications.
StandardMathFunction() - Constructor for class jsc.mathfunction.StandardMathFunction: Constructor for constant valued expressions.
StandardMathFunction(MathFunctionVariables) - Constructor for class jsc.mathfunction.StandardMathFunction: Create the parser/evaluator object.
StandardMathFunctionDerivatives - class jsc.mathfunction.StandardMathFunctionDerivatives.: This subclass of StandardMathFunction provides methods for evaluating the derivatives of the parsed function, f(x), at run-time.
StandardMathFunctionDerivatives(MathFunctionVariables) - Constructor for class jsc.mathfunction.StandardMathFunctionDerivatives: Create the parser/evaluator object.
standardTailProb(double, boolean) - Static method in class jsc.distributions.Normal: Calculates the value of the upper or lower tail area of a standard normal distribution.
statistic - Variable in class jsc.event.StatisticEvent: A statistic value.
Statistic - interface jsc.statistics.Statistic.: Defines an interface for simple statistics.
StatisticalCalculator - class jsc.swt.datatable.StatisticalCalculator.: This class provides the dialogue for inputting a function of the columns of a data table to be calculated.
StatisticalCalculator(Component, DataTable) - Constructor for class jsc.swt.datatable.StatisticalCalculator: Create the dialogue for the given parent component and data table.
StatisticalDocument - class jsc.swt.text.StatisticalDocument.: This is a "wrapper" class that simplifies generation of simple text formatting and embedded components.
StatisticalDocument() - Constructor for class jsc.swt.text.StatisticalDocument
StatisticalMathFunction - class jsc.mathfunction.StatisticalMathFunction.: This subclass of AbstractMathFunction defines an algebra for mathematical expressions that should suit a statistical package.
StatisticalMathFunction() - Constructor for class jsc.mathfunction.StatisticalMathFunction: Constructor for constant valued expressions.
StatisticalMathFunction(MathFunctionVariables) - Constructor for class jsc.mathfunction.StatisticalMathFunction: The constructor's argument provides an interface to the variables when parsing and evaluating functions.
statisticCreated(StatisticEvent) - Method in interface jsc.event.StatisticListener: Invoked when a two-sample event occurs.
StatisticEvent - class jsc.event.StatisticEvent.: A simple statistical event.
StatisticEvent(Object, double) - Constructor for class jsc.event.StatisticEvent: Creates an event from a statistic.
StatisticListener - interface jsc.event.StatisticListener.: The listener interface for receiving simple statistical events.
statisticListeners - Variable in class jsc.tests.ResampleTest: Set of registered objects listening for sampling events from this class.
statisticListeners - Variable in class jsc.tests.BootstrapTest: Set of registered objects listening for sampling events from this class.
StraightLineFit - interface jsc.curvefitting.StraightLineFit.: Defines the interface for a fitted straight line.
StudentsT - class jsc.distributions.StudentsT.: This class represents a Student's t distribution.
StudentsT(double) - Constructor for class jsc.distributions.StudentsT: Create a Student's t-distribution with df "degrees of freedom".
subscript() - Method in class jsc.swt.text.StatisticalDocument
subscript(String) - Method in class jsc.swt.text.StatisticalDocument
SubscriptedVariable - class jsc.mathfunction.SubscriptedVariable.: This class is provided as a convenient implementation of the MathFunctionVariables interface for a subscripted array of n variables.
SubscriptedVariable(String, int) - Constructor for class jsc.mathfunction.SubscriptedVariable: Creates the subscripted variables object with subscripts from 1 to n.
SubscriptedVariable(String, int, int) - Constructor for class jsc.mathfunction.SubscriptedVariable: Creates the subscripted variables object.
subset(String, JList, boolean) - Method in class jsc.swt.datatable.DataTable: Select or delete rows of table for which values in named column are selected in list.
SUBTRACT - Static variable in class jsc.mathfunction.StatisticalMathFunction: Binary subtraction.
SUBTRACT - Static variable in class jsc.mathfunction.StandardMathFunction: Binary subtraction.
subtract(double[], double[]) - Static method in class jsc.util.Arrays: Subtracts the elements of array x2 from corresponding elements of array x1 and returns the array of differences.
subtract(VDimension) - Method in class jsc.swt.virtualgraphics.VPoint: Return the result of subtracting a virtual dimension from this point.
sum(double[]) - Static method in class jsc.util.Arrays: Returns the sum of the elements in an array of double values.
sum(int[]) - Static method in class jsc.util.Arrays: Returns the sum of the elements in an array of integer values.
superscript() - Method in class jsc.swt.text.StatisticalDocument
superscript(String) - Method in class jsc.swt.text.StatisticalDocument
swapRow(int, int) - Method in class jsc.swt.datatable.DataModel: Swap rows i and j.
sweepByBlocks() - Method in class jsc.datastructures.MatchedData: The block means are subtracted from each data value.
sweepByTreatments() - Method in class jsc.datastructures.MatchedData: The treatment means are subtracted from each data value.

T

t - Variable in class jsc.independentsamples.TwoSampleBootstrapTest: The two-sample statistic.
ta - Variable in class jsc.swt.mdi.MDIEditorWindow: Contains the text for editing.
table - Variable in class jsc.swt.datatable.TableWindow: Table of output displayed in the window.
Table - class jsc.swt.datatable.Table.: This is the base class for displayed tables.
Table(AbstractTableModel) - Constructor for class jsc.swt.datatable.Table: Create the table using the given table model.
TableWindow - class jsc.swt.datatable.TableWindow.: This class implements simple read-only windows that display a table of output.
TableWindow(String, Table, DataWindow) - Constructor for class jsc.swt.datatable.TableWindow: Create the table window for given title, table and data window.
Tail - class jsc.distributions.Tail.: Defines constants for tail probabilities.
tailProb(double, double) - Static method in class jsc.distributions.StudentsT: Calculates the tail probability associated with value t from a Student's t distribution with df "degrees of freedom".
Tally - class jsc.descriptive.Tally.: This class represents a table of frequencies for integer-valued data.
Tally(int[]) - Constructor for class jsc.descriptive.Tally: Creates the tally from an array of integer data.
Tally(int, int) - Constructor for class jsc.descriptive.Tally: Creates the empty tally with given minimum and maximum values.
Tally(int, int[]) - Constructor for class jsc.descriptive.Tally: Creates the tally from given array of frequencies, f.
Tally(int, int, int[]) - Constructor for class jsc.descriptive.Tally: Creates the tally with given minimum and maximum value from an array of data.
TAN - Static variable in class jsc.mathfunction.StatisticalMathFunction: Tangent function.
TAN - Static variable in class jsc.mathfunction.StandardMathFunction: Tangent function.
TANH - Static variable in class jsc.mathfunction.StatisticalMathFunction: Hyperbolic tangent function.
TANH - Static variable in class jsc.mathfunction.StandardMathFunction: Hyperbolic tangent function.
testStatistic - Variable in class jsc.goodnessfit.KolmogorovTypeTest: Kolmogorov statistic: the appropriate value for the alternative hypothesis.
tickCount - Variable in class jsc.swt.plot2d.Axis: The number of tick marks.
tickLabels - Variable in class jsc.swt.plot2d.Axis: The tick mark labels.
TickMark - class jsc.swt.plot2d.TickMark.: This is the superclass for tick marks.
TickMark(VPoint) - Constructor for class jsc.swt.plot2d.TickMark: Creates the tick mark with default size, default colour and default stroke style.
TickMark(VPoint, int) - Constructor for class jsc.swt.plot2d.TickMark: Creates the tick mark with default colour and default stroke style.
TickMark(VPoint, int, Color) - Constructor for class jsc.swt.plot2d.TickMark: Creates the tick mark with default stroke style.
TickMark(VPoint, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.TickMark: Creates the tick mark.
tickMarks - Variable in class jsc.swt.plot2d.Axis: The tick marks.
tile(Graphics, Component, ImageIcon) - Static method in class jsc.Utilities: Utility method to tile a component with an image.
title - Variable in class jsc.swt.plot2d.AxesPlot: Title of graph.
toBooleanArray() - Method in class jsc.util.BitVector: Returns the bit vector as a boolean array.
toDerivative(int, double) - Static method in class jsc.mathfunction.StandardMathFunctionDerivatives: Returns the value of the derivative corresponding to the jth Taylor coefficient.
toIntArray() - Method in interface jsc.combinatorics.Selection: Returns the selection as a zero-indexed array of integers.
toIntArray() - Method in class jsc.combinatorics.Permutation: Returns the permutation as a zero-indexed array.
toIntArray() - Method in class jsc.combinatorics.MultiSetPermutation: Returns the permutation as a zero-indexed array.
toIntArray() - Method in class jsc.util.BitVector: Returns the bit vector as a integer array.
tolerance - Variable in class jsc.distributions.AbstractContinuousDistribution: Tolerance for numerical integration and other methods.
toolBar - Variable in class jsc.swt.datatable.DataWindow: Toolbar of the window.
toolBar - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's tool bar.
ToolBar - class jsc.swt.control.ToolBar.: This class implements a version of JToolBar that is easier to use.
ToolBar(String, Dimension) - Constructor for class jsc.swt.control.ToolBar: Create the toolbar with specified title and size of buttons.
toString() - Method in class jsc.ci.DistributionFreeCI
toString() - Method in class jsc.ci.AbstractConfidenceInterval
toString() - Method in class jsc.combinatorics.Permutation
toString() - Method in class jsc.combinatorics.MultiSetPermutation
toString() - Method in class jsc.contingencytables.ContingencyTable: Returns a string representation of the object in the form of a table.
toString() - Method in class jsc.datastructures.PairedData: Returns a string representation of the object in the form of a table.
toString() - Method in class jsc.datastructures.MatchedData: Returns a string representation of the object in the form of a table.
toString() - Method in class jsc.datastructures.GroupedData
toString() - Method in class jsc.descriptive.FrequencyTable
toString() - Method in class jsc.descriptive.AbstractFrequencyTable: Returns a string representation of the frequency table consisting of its name, number of observations, number of bins and all its frequencies.
toString() - Method in class jsc.distributions.WilcoxonT
toString() - Method in class jsc.distributions.Weibull
toString() - Method in class jsc.distributions.Uniform
toString() - Method in class jsc.distributions.Tail
toString() - Method in class jsc.distributions.StudentsT
toString() - Method in class jsc.distributions.RankSumOfSquares
toString() - Method in class jsc.distributions.PowerFunction
toString() - Method in class jsc.distributions.Poisson
toString() - Method in class jsc.distributions.Pareto
toString() - Method in class jsc.distributions.Normal
toString() - Method in class jsc.distributions.NoncentralStudentsT
toString() - Method in class jsc.distributions.NoncentralFishersF
toString() - Method in class jsc.distributions.NoncentralChiSquared
toString() - Method in class jsc.distributions.NoncentralBeta: Change shape parameters of the distribution.
toString() - Method in class jsc.distributions.NegativeBinomial
toString() - Method in class jsc.distributions.MannWhitneyU
toString() - Method in class jsc.distributions.Lognormal
toString() - Method in class jsc.distributions.Logistic
toString() - Method in class jsc.distributions.LogarithmicSeries
toString() - Method in class jsc.distributions.Laplace
toString() - Method in class jsc.distributions.KruskalWallisH
toString() - Method in class jsc.distributions.Hypergeometric
toString() - Method in class jsc.distributions.HotellingPabstS
toString() - Method in class jsc.distributions.Geometric1
toString() - Method in class jsc.distributions.Geometric
toString() - Method in class jsc.distributions.Gamma
toString() - Method in class jsc.distributions.FriedmanM
toString() - Method in class jsc.distributions.FishersF
toString() - Method in class jsc.distributions.ExtremeValue
toString() - Method in class jsc.distributions.ExtendedHypergeometric
toString() - Method in class jsc.distributions.Exponential
toString() - Method in class jsc.distributions.DiscreteUniform
toString() - Method in class jsc.distributions.Discrete
toString() - Method in class jsc.distributions.ChiSquared
toString() - Method in class jsc.distributions.Cauchy
toString() - Method in class jsc.distributions.Binomial
toString() - Method in class jsc.distributions.Beta
toString() - Method in class jsc.distributions.Bernoulli
toString() - Method in class jsc.goodnessfit.SampleDistributionFunction: Returns a string representation of the object in the form of a table of the ordered x and S(x) values.
toString() - Method in class jsc.mathfunction.AbstractMathFunction: Returns a string representation of the object consisting of a summary of the available tokens and variables and the code list representation of the current parsed function (if any).
toString() - Method in class jsc.swt.virtualgraphics.VRectangle
toString() - Method in class jsc.swt.virtualgraphics.VPoint
toString() - Method in class jsc.swt.virtualgraphics.VDimension
toString() - Method in class jsc.swt.virtualgraphics.Ellipse
toString() - Method in class jsc.tests.H1
toString() - Method in class jsc.util.Scale: Returns a string representation of the scale.
toString() - Method in class jsc.util.BitVector: Returns a string of zeros and ones representing the bit vector.
toString(String[]) - Static method in class jsc.Utilities: Converts an array of strings to a new single string.
toString(String[], String) - Static method in class jsc.Utilities: Converts an array of strings to a new single string.
toStringArray(int[]) - Static method in class jsc.util.Arrays: Converts an array of integers to an array of strings.
toStringArray(Vector) - Static method in class jsc.util.Arrays: Converts a Vector to an array of strings.
toTail(H1) - Static method in class jsc.tests.H1: Common tail probability equivalent to alternative hypothesis.
toVector(String[]) - Static method in class jsc.Utilities: Converts an array of strings to a vector.
transform(AffineTransform) - Method in class jsc.swt.virtualgraphics.Path: Transforms the geometry of this path using the specified AffineTransform.
transform(String, int) - Method in class jsc.swt.datatable.DataTable: Transform all non-null values in named column using the indicated function and write them to a new column.
TransparentChildPanel - class jsc.swt.panel.TransparentChildPanel.: This class implements a panel that has a method for making all components added to the panel transparent.
TransparentChildPanel(LayoutManager) - Constructor for class jsc.swt.panel.TransparentChildPanel: Creates the panel with specified layout.
transparentComponents() - Method in class jsc.swt.panel.TransparentChildPanel: This is a utility method for making all immediate child JComponents transparent so that the background shows through.
trimTableRows(int) - Method in class jsc.swt.datatable.DataModel: Delete bottom n rows of table if their values are all null.
truncate(double) - Static method in class jsc.util.Maths: Returns integer part of argument, truncating towards zero.
Ttest - class jsc.onesample.Ttest.: This class represents a t-test for the mean of a distribution.
Ttest(double[], double) - Constructor for class jsc.onesample.Ttest: Create significance test results.
Ttest(double[], double, H1) - Constructor for class jsc.onesample.Ttest: Create significance test results.
TWO - Static variable in class jsc.distributions.Tail: Indicates both the lower and upper tails of the distribution.
TWO_SAMPLE_RATIO - Static variable in class jsc.ci.DistributionFreeCI: Indicates two-sample problem: confidence interval for ratio of scale parameters.
TWO_SAMPLE_SHIFT - Static variable in class jsc.ci.DistributionFreeCI: Indicates two-sample problem: confidence interval for difference in location (shift).
TwoSampleBootstrapDistsTest - class jsc.independentsamples.TwoSampleBootstrapDistsTest.: General bootstrap test for two independent samples.
TwoSampleBootstrapDistsTest(TwoSampleStatistic, Tail, int) - Constructor for class jsc.independentsamples.TwoSampleBootstrapDistsTest: Create bootstrap test.
TwoSampleBootstrapDistsTest(TwoSampleStatistic, Tail, int, StatisticListener) - Constructor for class jsc.independentsamples.TwoSampleBootstrapDistsTest: Create bootstrap test.
TwoSampleBootstrapMeansTest - class jsc.independentsamples.TwoSampleBootstrapMeansTest.: Bootstrap test for equality of means of two independent samples.
TwoSampleBootstrapMeansTest(double[], double[], H1, int, StatisticListener) - Constructor for class jsc.independentsamples.TwoSampleBootstrapMeansTest: Create bootstrap test.
TwoSampleBootstrapMeansTest(double[], double[], int) - Constructor for class jsc.independentsamples.TwoSampleBootstrapMeansTest: Create bootstrap test.
TwoSampleBootstrapTest - class jsc.independentsamples.TwoSampleBootstrapTest.: Root class for bootstrap tests involving two independent samples.
TwoSampleBootstrapTest(TwoSampleStatistic, Tail) - Constructor for class jsc.independentsamples.TwoSampleBootstrapTest: Instantiate the object.
TwoSampleBootstrapTest(TwoSampleStatistic, Tail, StatisticListener) - Constructor for class jsc.independentsamples.TwoSampleBootstrapTest: Instantiate the object.
TwoSampleStatistic - interface jsc.independentsamples.TwoSampleStatistic.: Defines an interface for statistics involving two independent samples.
TwoSampleTtest - class jsc.independentsamples.TwoSampleTtest.: This class represents a two sample t-test and confidence interval.
TwoSampleTtest(double[], double[]) - Constructor for class jsc.independentsamples.TwoSampleTtest: Create significance test results and confidence interval.
TwoSampleTtest(double[], double[], boolean) - Constructor for class jsc.independentsamples.TwoSampleTtest: Create significance test results and confidence interval.
TwoSampleTtest(double[], double[], H1, boolean) - Constructor for class jsc.independentsamples.TwoSampleTtest: Create significance test results and confidence interval.
TwoSampleTtest(double[], double[], H1, boolean, double) - Constructor for class jsc.independentsamples.TwoSampleTtest: Create significance test results and confidence interval.
TwoVariables - class jsc.mathfunction.TwoVariables.: This class is provided as a convenient implementation of the MathFunctionVariables interface for two variables.
TwoVariables(String, String) - Constructor for class jsc.mathfunction.TwoVariables: Creates the variables object for the named variables.
TwoWayANOVA - class jsc.relatedsamples.TwoWayANOVA.: This class represents a two-way analysis of variance for balanced data.
TwoWayANOVA(MatchedData) - Constructor for class jsc.relatedsamples.TwoWayANOVA: Create the analysis of variance and significance test results.

U

UNARY_OP - Static variable in class jsc.mathfunction.AbstractMathFunction: Type code for unary prefix operators.
unaryOperation(int, double) - Method in class jsc.mathfunction.StatisticalMathFunction: Performs an unary operation, indicated by code, on operand x and returns the result.
unaryOperation(int, double) - Method in class jsc.mathfunction.StandardMathFunction: Performs an unary operation, indicated by code, on operand x and returns the result.
unaryOperation(int, double) - Method in class jsc.mathfunction.AbstractMathFunction: Returns value of an unary operation having the give code.
unbold() - Method in class jsc.swt.text.StatisticalDocument
underline() - Method in class jsc.swt.text.StatisticalDocument
underline(String) - Method in class jsc.swt.text.StatisticalDocument
Uniform - class jsc.distributions.Uniform.: This class represents a continuous uniform distribution on the interval [a,b].
Uniform() - Constructor for class jsc.distributions.Uniform: Creates uniform distribution on 0 to 1.
Uniform(double, double) - Constructor for class jsc.distributions.Uniform: Create a continuous uniform distribution [a,b].
unitalic() - Method in class jsc.swt.text.StatisticalDocument
unsubscript() - Method in class jsc.swt.text.StatisticalDocument
unsuperscript() - Method in class jsc.swt.text.StatisticalDocument
ununderline() - Method in class jsc.swt.text.StatisticalDocument
updateData() - Method in class jsc.swt.datatable.DataTable: Refreshes table to show any changes.
updateNames() - Method in class jsc.swt.datatable.StatisticalCalculator: Update the list of column names to the current names of columns in the data table.
updateNames() - Method in class jsc.swt.datatable.DataCalculator: This should update column names displayed in the calculator to the current names of columns in the data table.
updateUI() - Method in class jsc.swt.plot.BeadSlider: Replaces the usual slider thumb by a filled circle.
UPPER - Static variable in class jsc.distributions.Tail: Indicates the upper tail of the distribution.
upperLimit - Variable in class jsc.ci.AbstractConfidenceInterval: Upper confidence limit.
upperTailProb(double) - Method in class jsc.distributions.Normal: Calculates the area of the tail of the distribution from x to infinity.
upperTailProb(double) - Method in class jsc.distributions.Hypergeometric: Calculates the upper tail probability from x.
upperTailProb(double) - Method in class jsc.distributions.Discrete: Calculates the upper tail probability from X.
upperTailProb(double, double) - Static method in class jsc.distributions.ChiSquared: Returns the area of the tail of the distribution from x to infinity.
upperTailProb(double, double, double) - Static method in class jsc.distributions.FishersF: Calculates the area of the tail of the distribution from x to infinity.
upperTailProb(int, int) - Static method in class jsc.correlation.KendallCorrelation: Upper tail probability of Theil's statistic T.
upperTailProb(int, int, boolean) - Static method in class jsc.distributions.HotellingPabstS: Upper tail probability of S.
Utilities - class jsc.Utilities.: A collection of utility methods for JSC.

V

valueChanged(ListSelectionEvent) - Method in class jsc.swt.datatable.DataWindow.SelectionDebugger
valueCount - Variable in class jsc.distributions.Discrete: Number (n) of variate-values in the distribution.
values - Variable in class jsc.distributions.Discrete: Values in distribution: values[i] < values[i+1] for all i from 0 to valueCount-1.
variableUsed(int) - Method in class jsc.mathfunction.AbstractMathFunction: Returns true if jth variable occurs in the expression last parsed.
variableUsed(String) - Method in class jsc.mathfunction.AbstractMathFunction: Returns true if variable having name varName occurs in the expression last parsed.
variance() - Method in class jsc.distributions.WilcoxonT
variance() - Method in class jsc.distributions.Weibull
variance() - Method in class jsc.distributions.Uniform
variance() - Method in class jsc.distributions.StudentsT: Returns the variance of the distribution.
variance() - Method in class jsc.distributions.SplineShape
variance() - Method in class jsc.distributions.PowerFunction
variance() - Method in class jsc.distributions.Poisson
variance() - Method in class jsc.distributions.Pareto: Calculates the variance of the distribution.
variance() - Method in class jsc.distributions.Normal
variance() - Method in class jsc.distributions.NoncentralStudentsT: Calculates the variance of the distribution.
variance() - Method in class jsc.distributions.NoncentralFishersF: Calculates the variance if df2 > 4, otherwise the variance does not exist and Double.NaN is returned.
variance() - Method in class jsc.distributions.NoncentralChiSquared
variance() - Method in class jsc.distributions.NoncentralBeta: Calculates the variance of the distribution.
variance() - Method in class jsc.distributions.NegativeBinomial
variance() - Method in class jsc.distributions.MannWhitneyU
variance() - Method in class jsc.distributions.Lognormal
variance() - Method in class jsc.distributions.Logistic
variance() - Method in class jsc.distributions.LogarithmicSeries
variance() - Method in class jsc.distributions.Laplace
variance() - Method in class jsc.distributions.Hypergeometric
variance() - Method in class jsc.distributions.HotellingPabstS
variance() - Method in class jsc.distributions.Geometric1
variance() - Method in class jsc.distributions.Geometric
variance() - Method in class jsc.distributions.Gamma
variance() - Method in class jsc.distributions.FishersF: Returns the variance if df2 > 4, otherwise the variance does not exist and Double.NaN is returned.
variance() - Method in class jsc.distributions.ExtremeValue
variance() - Method in class jsc.distributions.ExtendedHypergeometric
variance() - Method in class jsc.distributions.Exponential
variance() - Method in interface jsc.distributions.Distribution: Returns variance of the distribution if it exists.
variance() - Method in class jsc.distributions.DiscreteUniform: Calculates the variance of the distribution.
variance() - Method in class jsc.distributions.Discrete: Calculate variance of the distribution.
variance() - Method in class jsc.distributions.Cauchy: Returns Double.NaN since the variance does not exist.
variance() - Method in class jsc.distributions.Binomial
variance() - Method in class jsc.distributions.Beta
variance() - Method in class jsc.distributions.Bernoulli: Returns the variance of the distribution.
variance() - Method in class jsc.distributions.AbstractDistribution
variance() - Method in class jsc.distributions.AbstractDiscreteDistribution: Return variance of the distribution.
variance() - Method in class jsc.distributions.AbstractContinuousDistribution: Variance of the distribution.
VDimension - class jsc.swt.virtualgraphics.VDimension.: This class represents a dimension (width and height) in a virtual coordinate system.
VDimension(double, double) - Constructor for class jsc.swt.virtualgraphics.VDimension: Creates a virtual dimension from given width and height.
verticalAxis - Variable in class jsc.swt.plot2d.AxesPlot: The vertical axis.
VerticalAxis - class jsc.swt.plot2d.VerticalAxis.: This class represents a vertical axis drawn on a plot.
VerticalAxis() - Constructor for class jsc.swt.plot2d.VerticalAxis: Creates a default vertical axis with minimum 0, maximum 1 and tick marks at 0 and 1.
VerticalAxis(AxisModel, double) - Constructor for class jsc.swt.plot2d.VerticalAxis: Creates the vertical axis using the given AxisModel data structure and abscissa.
VerticalAxis(AxisModel, double, Color, Stroke, int, Font, Font) - Constructor for class jsc.swt.plot2d.VerticalAxis: Creates the vertical axis using the given AxisModel data structure, abscissa, graphical attributes and fonts.
VerticalAxis(AxisModel, double, Color, Stroke, int, Stroke, Color, Font, Color, Font) - Constructor for class jsc.swt.plot2d.VerticalAxis: Creates the vertical axis using the given AxisModel data structure, abscissa, graphical attributes and fonts.
VerticalBarChart - class jsc.swt.plot2d.VerticalBarChart.: This class implements a bar chart for frequencies of categorical data represented by vertical bars.
VerticalBarChart(String, String, String[], Color, Font, AxisModel) - Constructor for class jsc.swt.plot2d.VerticalBarChart: Creates the plot with given title, name for X axis, labels for X axis, colour and font of the labels, and an AxisModel object for the vertical Y axis.
VerticalBarMarker - class jsc.swt.plot2d.VerticalBarMarker.: This class represents a marker in the form of a vertical bar.
VerticalBarMarker(VPoint, int) - Constructor for class jsc.swt.plot2d.VerticalBarMarker: Creates the marker with given center point p, type, size, default colour and default stroke style.
VerticalBarMarker(VPoint, int, Color) - Constructor for class jsc.swt.plot2d.VerticalBarMarker: Creates the marker with given center point p, type, size, colour and default stroke style.
VerticalBarMarker(VPoint, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.VerticalBarMarker: Creates the marker with given center point p, type, size, colour and stroke style.
VerticalTickMark - class jsc.swt.plot2d.VerticalTickMark.: This class represents a vertical tick mark and its graphical attributes.
VerticalTickMark(VPoint) - Constructor for class jsc.swt.plot2d.VerticalTickMark: Creates the tick mark with default size, default colour and default stroke style.
VerticalTickMark(VPoint, int) - Constructor for class jsc.swt.plot2d.VerticalTickMark: Creates the tick mark with default colour and default stroke style.
VerticalTickMark(VPoint, int, Color) - Constructor for class jsc.swt.plot2d.VerticalTickMark: Creates the tick mark with default stroke style.
VerticalTickMark(VPoint, int, Color, Stroke) - Constructor for class jsc.swt.plot2d.VerticalTickMark: Creates the tick mark.
VImage - class jsc.swt.virtualgraphics.VImage.: This class represents an image in a virtual co-ordinate system.
VImage(double, double, double, double) - Constructor for class jsc.swt.virtualgraphics.VImage: Create the image rectangle from given corner, width and height.
virtualSpace - Variable in class jsc.swt.plot2d.PlotPanel: Rectangle virtualSpace defines the virtual plotting area.
virtualToPixel(VDimension) - Method in class jsc.swt.plot2d.PlotPanel: Returns the device (pixel) dimension corresponding to a virtual dimension vd on the plot.
virtualToPixel(VPoint) - Method in class jsc.swt.plot2d.PlotPanel: Returns the device (pixel) point corresponding to a virtual point vp on the plot.
virtualToPixelHeight(double) - Method in class jsc.swt.plot2d.PlotPanel: Returns the device (pixel) height corresponding to a virtual height on the plot.
virtualToPixelWidth(double) - Method in class jsc.swt.plot2d.PlotPanel: Returns the device (pixel) width corresponding to a virtual width on the plot.
VirtualTransform - class jsc.swt.virtualgraphics.VirtualTransform.: This class represents a 2D transformation from virtual co-ordinates to device (pixel) co-ordinates.
VirtualTransform(VRectangle, Dimension) - Constructor for class jsc.swt.virtualgraphics.VirtualTransform: Creates the virtual transformation.
VLine - class jsc.swt.virtualgraphics.VLine.: This class represents a line defined by two points in a virtual co-ordinate system.
VLine(double, double, double, double) - Constructor for class jsc.swt.virtualgraphics.VLine: Creates the line from point (x1,y1) to point (x2,y2).
VLine(VPoint, VPoint) - Constructor for class jsc.swt.virtualgraphics.VLine: Creates the line from point p1 to point p2.
VPoint - class jsc.swt.virtualgraphics.VPoint.: This class represents a point (x,y) in a virtual co-ordinate system.
VPoint(double, double) - Constructor for class jsc.swt.virtualgraphics.VPoint: Creates the point.
VPolygon - class jsc.swt.virtualgraphics.VPolygon.: This class represents a polygon in a virtual co-ordinate system.
VPolygon(VPoint[]) - Constructor for class jsc.swt.virtualgraphics.VPolygon: Create a polygon using an array of virtual points.
VPolygon(VPoint[], int) - Constructor for class jsc.swt.virtualgraphics.VPolygon: Create a polygon using the first n elements of an array of virtual points.
VRectangle - class jsc.swt.virtualgraphics.VRectangle.: This class represents a rectangle in a virtual co-ordinate system.
VRectangle(double, double, double, double) - Constructor for class jsc.swt.virtualgraphics.VRectangle: Create the rectangle from given corner, width and height.
VRectangle(Rectangle2D.Double) - Constructor for class jsc.swt.virtualgraphics.VRectangle: Create the rectangle from a Rectangle2D.Double object.
VRectangle(VPoint, VDimension) - Constructor for class jsc.swt.virtualgraphics.VRectangle: Creates the rectangle from given corner point, width and height specified by a dimension.
VRectangle(VPoint, VPoint) - Constructor for class jsc.swt.virtualgraphics.VRectangle: Create the rectangle from two opposite corner points.
vt - Variable in class jsc.swt.plot2d.PlotPanel: The affine transformation that defines the transformation from virtual (user) co-ordinates to device (pixel) co-ordinates.

W

walshAverages(double[]) - Static method in class jsc.ci.DistributionFreeCI: Compute all Walsh averages for a sample.
Weibull - class jsc.distributions.Weibull.: This class represents a Weibull distribution.
Weibull(double, double) - Constructor for class jsc.distributions.Weibull: Creates a Weibull distribution with specified scale parameter (or characteristic life) and shape parameter.
width - Variable in class jsc.swt.virtualgraphics.VDimension: Width of dimension.
WilcoxonMedianCI - class jsc.onesample.WilcoxonMedianCI.: Confidence interval for median of a symmetric distribution.
WilcoxonMedianCI(double[], double) - Constructor for class jsc.onesample.WilcoxonMedianCI: Create confidence interval.
WilcoxonMedianCI(double[], double, boolean) - Constructor for class jsc.onesample.WilcoxonMedianCI: Create confidence interval.
WilcoxonMedianCI(PairedData, double) - Constructor for class jsc.onesample.WilcoxonMedianCI: Create confidence interval for median difference between two samples of paired data.
WilcoxonMedianCI(PairedData, double, boolean) - Constructor for class jsc.onesample.WilcoxonMedianCI: Create confidence interval for median difference between two samples of paired data.
WilcoxonT - class jsc.distributions.WilcoxonT.: This class represents the null distribution of Wilcoxon's T statistic.
WilcoxonT(int) - Constructor for class jsc.distributions.WilcoxonT: Create a Wilcoxon distribution for the given sample size.
WilcoxonTest - class jsc.onesample.WilcoxonTest.: Wilcoxon's signed-rank test for the median of a symmetric distribution.
WilcoxonTest(double[], double) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results.
WilcoxonTest(double[], double, H1) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results.
WilcoxonTest(double[], double, H1, boolean) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results.
WilcoxonTest(double[], double, H1, double, boolean, boolean) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results.
WilcoxonTest(PairedData) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results for matched pairs test.
WilcoxonTest(PairedData, H1) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results for matched pairs test.
WilcoxonTest(PairedData, H1, boolean) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results for matched pairs test.
WilcoxonTest(PairedData, H1, double, boolean, boolean) - Constructor for class jsc.onesample.WilcoxonTest: Create significance test results.
windowMenu - Variable in class jsc.swt.mdi.MDIApplication: The MDI application's Window menu.
write(File) - Method in class jsc.swt.datatable.DataWindow: Write the data to a file.
write(File) - Method in interface jsc.swt.file.AppFile: Write to the specified file.
write(File) - Method in class jsc.swt.mdi.MDIWindow: Write the contents of the window to the specified file.
write(File) - Method in class jsc.swt.mdi.MDIEditorWindow: Writes text to a file.
write(File) - Method in class jsc.swt.plot2d.PlotPanel: Writes an image of the plot to a file.
write(File, DataTable) - Static method in class jsc.swt.datatable.DataFile: Write data table to a file.
write(File, String) - Method in class jsc.swt.plot2d.PlotPanel: Writes an image of the plot to a file.
writeTextFile(File, boolean, String) - Method in class jsc.swt.datatable.DataWindow: Write the data to a text file.
writeTextFile(File, DataTable, boolean, String) - Static method in class jsc.swt.datatable.DataFile: Write a data table to a text file.

X

xOfD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns x value corresponding to the Kolmogorov D-statistic: the maximum absolute deviation, |S(x)-F(x)|.
xOfNegativeD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns x value corresponding to the Kolmogorov D-statistic: the maximum negative deviation, F(x)-S(x).
xOfPositiveD() - Method in class jsc.goodnessfit.KolmogorovTypeTest: Returns x value corresponding to the Kolmogorov D-statistic: the maximum positive deviation, S(x)-F(x).

Z

Ztest - class jsc.onesample.Ztest.: This class represents a z-test for the mean of a distribution.
Ztest(double[], double) - Constructor for class jsc.onesample.Ztest: Create significance test results.
Ztest(double[], double, double) - Constructor for class jsc.onesample.Ztest: Create significance test results.
Ztest(double[], double, double, H1) - Constructor for class jsc.onesample.Ztest: Create significance test results.
Ztest(double[], double, H1) - Constructor for class jsc.onesample.Ztest: Create significance test results.

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