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## C

calculated - Static variable in class org.statcato.statistics.inferential.nonparametrics.WilcoxonSignedRankPValue
  One-dimensional array of boolean values indicating whether the p-values for each sample size are calculated.
CalculatorDialog - Class in org.statcato.dialogs.calc
CalculatorDialog(Frame, boolean) - Constructor for class org.statcato.dialogs.calc.CalculatorDialog
  Creates new form CalculatorDialog
call(CompUnit) - Method in class org.statcato.calculator.MathFunction
  Performs a function call on the given computation unit.
call1(double) - Method in class org.statcato.calculator.MathFunction
  Performs a function call on the given double value.
cancelTimer() - Method in class org.statcato.utils.SetStatusTimer
  Cancels the timer.
CategoryCounter - Class in org.statcato.utils
  Keeps track of a previously unspecified number of categories and the frequency of each category.
CategoryCounter() - Constructor for class org.statcato.utils.CategoryCounter
  Constructor.
CEIL - Static variable in class org.statcato.calculator.MathFunctions
Cell - Class in org.statcato.spreadsheet
  A cell in a `Spreadsheet` object.
Cell(String, int, int) - Constructor for class org.statcato.spreadsheet.Cell
  Constructor, given the contents as a string and the row and column of the cell.
CellComparator - Class in org.statcato.spreadsheet
  A comparator for `Cell` objects (ascending order).
CellComparator() - Constructor for class org.statcato.spreadsheet.CellComparator
CellComparatorDescending - Class in org.statcato.spreadsheet
  A comparator for `Cell` objects.
CellComparatorDescending() - Constructor for class org.statcato.spreadsheet.CellComparatorDescending
center - Variable in class org.statcato.statistics.inferential.ConfidenceInterval
changeRange(Vector<Double>, double, double) - Static method in class org.statcato.statistics.BasicStatistics
  Adjusts a vector of numbers to fit in a specific range [a, b].
checkUpdates() - Method in class org.statcato.Statcato
  Checks for updates from the Statcato web site.
CheckUpdatesDialog - Class in org.statcato
  A dialog that checks if a new version is available from the Statcato web site.
CheckUpdatesDialog(Frame, boolean) - Constructor for class org.statcato.CheckUpdatesDialog
  Creates new form CheckUpdatesDialog
ChiSquareDistributionDialog - Class in org.statcato.dialogs.calc.probdist
  A dialog for Chi-square probability distribution.
ChiSquareDistributionDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.calc.probdist.ChiSquareDistributionDialog
  Creates new form ChiSquareDistributionDialog
ChiSquareProbabilityDistribution - Class in org.statcato.statistics
  Chi Square probability distribution class.
ChiSquareProbabilityDistribution(double) - Constructor for class org.statcato.statistics.ChiSquareProbabilityDistribution
  Constructor, given the degrees of freedom
CI1PopMeanDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for one population mean, given the confidence level and whether the population standard deviation is known or unknown.
CI1PopMeanDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CI1PopMeanDialog
  Creates new form CI1PopMeanDialog
CI1PopPropDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for one population proportion, given the confidence level.
CI1PopPropDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CI1PopPropDialog
  Creates new form CI1PopPropDialog
CI1PopVarDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for one population variance, given the confidence level.
CI1PopVarDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CI1PopVarDialog
  Creates new form CI1PopVarDialog
CI2PopMeanDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for two population means, given the confidence level, population standard deviations (if known), and whether population variances are assumed equal.
CI2PopMeanDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CI2PopMeanDialog
  Creates new form CI2PopMeanDialog
CI2PopMeanSigmaKnown - Class in org.statcato.statistics.inferential
  Confidence interval class for two population mean, sigma (population standard deviation) known.
CI2PopMeanSigmaKnown(double, int, int, double, double, double, double) - Constructor for class org.statcato.statistics.inferential.CI2PopMeanSigmaKnown
  Constructor
CI2PopMeanSigmaUnknown - Class in org.statcato.statistics.inferential
  Confidence interval class for two population mean, sigma (population standard deviation) unknown.
CI2PopMeanSigmaUnknown(double, int, int, double, double, double, double, boolean) - Constructor for class org.statcato.statistics.inferential.CI2PopMeanSigmaUnknown
  Constructor
CI2PopProp - Class in org.statcato.statistics.inferential
  Confidence interval class for two population proportions.
CI2PopProp(double, int, int, double, double) - Constructor for class org.statcato.statistics.inferential.CI2PopProp
  Constructor
CI2PopPropDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for two population proportions, given the confidence level.
CI2PopPropDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CI2PopPropDialog
  Creates new form CI2PopPropDialog
CI2PopVar - Class in org.statcato.statistics.inferential
  Confidence interval class for two population mean, sigma (population standard deviation) known.
CI2PopVar(double, int, int, double, double) - Constructor for class org.statcato.statistics.inferential.CI2PopVar
  Constructor.
CI2PopVarDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for two population variances, given the confidence level.
CI2PopVarDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CI2PopVarDialog
  Creates new form CI2PopVarDialog
CIMatchedPairs - Class in org.statcato.statistics.inferential
  Confidence interval class for matched pairs.
CIMatchedPairs(double, int, double, double) - Constructor for class org.statcato.statistics.inferential.CIMatchedPairs
  Constructor.
CIMatchedPairsDialog - Class in org.statcato.dialogs.stat.ci
  A dialog for creating confidence intervals for matched pairs, given the confidence level.
CIMatchedPairsDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.ci.CIMatchedPairsDialog
  Creates new form CIMatchedPairsDialog
CIOnePopMeanSigmaKnown - Class in org.statcato.statistics.inferential
  Confidence interval class for one population mean, sigma (population standard deviation) known.
CIOnePopMeanSigmaKnown(double, int, double, double) - Constructor for class org.statcato.statistics.inferential.CIOnePopMeanSigmaKnown
  Constructor.
CIOnePopMeanSigmaUnknown - Class in org.statcato.statistics.inferential
  Confidence interval class for one population mean, sigma (population standard deviation) unknown.
CIOnePopMeanSigmaUnknown(double, int, double, double) - Constructor for class org.statcato.statistics.inferential.CIOnePopMeanSigmaUnknown
  Constructor.
CIOnePopProp - Class in org.statcato.statistics.inferential
  Confidence interval class for one population proportion.
CIOnePopProp(double, int, double, int) - Constructor for class org.statcato.statistics.inferential.CIOnePopProp
  Constructor
CIOnePopVar - Class in org.statcato.statistics.inferential
  Confidence interval class for one population variance.
CIOnePopVar(double, int, double) - Constructor for class org.statcato.statistics.inferential.CIOnePopVar
  Constructor.
CIStdev() - Method in class org.statcato.statistics.inferential.CI2PopVar
  Returns a string representation of the confidence interval for standard deviation.
CIVar() - Method in class org.statcato.statistics.inferential.CI2PopVar
  Returns a string representation of the confidence interval for variance.
clear() - Method in class org.statcato.LogWindow
  Clears the text in this log window and reintializes.
clear() - Method in class org.statcato.spreadsheet.Cell
  Clears the cell contents by setting to the empty string.
clearAllCells() - Method in class org.statcato.spreadsheet.Spreadsheet
  Clear the contents in all cells without moving surrouding cells.
clearCell(int, int) - Method in class org.statcato.spreadsheet.SpreadsheetModel
  Clears the contents in the cell at the specified row and column.
clearMutableColumnsList(JList) - Method in class org.statcato.StatcatoDialog
  Removes all the elements in the given mutable list.
clearSelectedCells() - Method in class org.statcato.spreadsheet.Spreadsheet
  Clear the contents in the selected cells without moving surrouding cells.
clearStatus() - Method in class org.statcato.Statcato
  Clears the status bar.
clearStatusTimerList() - Method in class org.statcato.Statcato
clearUndoManager() - Method in class org.statcato.Statcato
  Clears all edits in the undo manager and updates the undo/redo menus and icons.
close() - Method in class org.statcato.file.Project
  If the project is not yet saved, prompts the user to save.
closeCurrentDatasheet() - Method in class org.statcato.DatasheetTabbedPane
  Prompts to save the current Datasheet if it has been changed and then closes it.
closeFile() - Method in class org.statcato.spreadsheet.Spreadsheet
  Closes the file associated with this spreadsheet, if any.
closePane() - Method in class org.statcato.DatasheetTabbedPane
  Checks if there is any changed tab and if so prompts the user to save file.
CoefficientOfDetermination() - Method in class org.statcato.statistics.inferential.CorrelationRegression
  Returns the coefficient of determination r^2, the amount of the variation in y that is explained by the regression line.
CoefficientOfDetermination() - Method in class org.statcato.statistics.inferential.MultipleRegression
  Returns the coefficient of determination r^2, the amount of the variation in y that is explained by the regression line.
CoefficientOfDetermination() - Method in class org.statcato.statistics.inferential.MultipleRegression2
  Returns the coefficient of determination r^2, the amount of the variation in y that is explained by the regression line.
coefficientOfVariance(Vector<Double>) - Static method in class org.statcato.statistics.BasicStatistics
  Returns the coefficient of variance (standard deviation / mean * 100).
COLORS - Static variable in class org.statcato.graph.GraphFactory
colSum(int) - Method in class org.statcato.statistics.inferential.TwoWayANOVA
  Returns the column sum B_j = Sum_{i=1...a} {cell sum of y[i][j]}.
COLUMN - Static variable in class org.statcato.calculator.Token
ColumnStatisticsDialog - Class in org.statcato.dialogs.stat.basicstats
  A dialog for computing descriptive statistics for a column of data values.
ColumnStatisticsDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.basicstats.ColumnStatisticsDialog
  Creates new form ColumnStatisticsDialog
compare(Object, Object) - Method in class org.statcato.spreadsheet.CellComparator
compare(Object, Object) - Method in class org.statcato.spreadsheet.CellComparatorDescending
compare(Object, Object) - Method in class org.statcato.utils.DataValueComparator
compoundEdit - Variable in class org.statcato.Statcato
  Compound edit object for the application.
CompUnit - Class in org.statcato.calculator
  A computational unit.
CompUnit(int, Object) - Constructor for class org.statcato.calculator.CompUnit
  Constructor, given the type of the unit and the value.
ComputeCategoryFrequency(Vector<Cell>) - Static method in class org.statcato.utils.HelperFunctions
  Given a vector of cells, computes the frequency of each category present in the vector.
computeChiSquare() - Method in class org.statcato.statistics.inferential.CrossTabulation
  Creates a contingency table object using the cross tabulation data.
ComputeClassFrequency(Vector<Double>, Vector<Double>) - Static method in class org.statcato.utils.HelperFunctions
  Return a vector containing the frequency of each class delimited by the given vector of upper class limits.
computeCommonLeafUnit(Vector<Double>) - Static method in class org.statcato.graph.StemAndLeafPlot
  Returns the common leaf unit that should be used for the given set of leaf units.
ComputeDiffVector(Vector<Double>, Vector<Double>) - Static method in class org.statcato.utils.HelperFunctions
  Computes the pairwise differences between elements in two vector of numbers and returns a vector of the pairwise differences.
ComputeFrequency(Vector<Double>) - Static method in class org.statcato.utils.HelperFunctions
  Given a vector of double values, computes the frequency of each value present in the vector.
computeLeafUnit(double) - Static method in class org.statcato.graph.StemAndLeafPlot
  Computes and returns the proper leaf unit for the given number.
computeRankSum(Vector<Vector<Double>>) - Method in class org.statcato.statistics.inferential.nonparametrics.KruskalWallisTest
  Computes the sum of ranks for each sample.
computeRegressionCoeff(Vector<Double>, Vector<Double>, int, double) - Static method in class org.statcato.graph.GraphFactory
  Computes the regression coefficients for the given vectors and regression type.
ConfidenceInterval - Class in org.statcato.statistics.inferential
  Confidence interval class.
ConfidenceInterval() - Constructor for class org.statcato.statistics.inferential.ConfidenceInterval
confidenceLevel - Variable in class org.statcato.statistics.inferential.ConfidenceInterval
CONSTANT - Static variable in class org.statcato.calculator.Token
consumeColumn() - Method in class org.statcato.calculator.TokenScanner
  Consumes the column at the next scan position.
consumeConstant() - Method in class org.statcato.calculator.TokenScanner
  Consumes the constant at the next scan position.
consumeFunction() - Method in class org.statcato.calculator.TokenScanner
  Consumes the function at the next scan position.
consumeNumber() - Method in class org.statcato.calculator.TokenScanner
  Consumes the number at the next scan position.
consumeToken() - Method in class org.statcato.calculator.TokenScanner
  Consumes the current token by advancing the index to the next position.
ContingencyTable - Class in org.statcato.statistics.inferential
  A contingency table.
ContingencyTable(Vector<Vector<Double>>) - Constructor for class org.statcato.statistics.inferential.ContingencyTable
  Constructor.
ContingencyTableDialog - Class in org.statcato.dialogs.stat.multinomial
  A dialog for a chi-square contingency table test given a significance level.
ContingencyTableDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.multinomial.ContingencyTableDialog
  Creates new form ContingencyTableDialog
convertColumnLabelsToNumbers(Object[]) - Method in class org.statcato.spreadsheet.Spreadsheet
  Converts the given array of Objects representing column labels to column numbers.
ConvertDoubleVectorToArray(Vector<Double>) - Static method in class org.statcato.utils.HelperFunctions
  Converts a vector of Double values to an array of double values.
ConvertDoubleVectorToString(Vector<Double>) - Static method in class org.statcato.utils.HelperFunctions
  Convert a vector of Double to a vector of String.
ConvertInputVectorToDoubles(Vector<Cell>) - Static method in class org.statcato.utils.HelperFunctions
  Converts a vector of Cell to a vector of Double.
ConvertInputVectorToNumbers(Vector<Cell>) - Static method in class org.statcato.utils.HelperFunctions
  Converts a vector of Cell to a vector of numbers.
ConvertInputVectorToNumbers2(Vector<Cell>) - Static method in class org.statcato.utils.HelperFunctions
  Converts a vector of Cell to a vector of numbers.
ConvertIntegerVectorToArray(Vector<Integer>) - Static method in class org.statcato.utils.HelperFunctions
  Converts a vector of Integer values to an array of integervalues.
convertVectorToString(Vector) - Static method in class org.statcato.utils.HelperFunctions
  Converts the contents of a vector to a string, each item separated by a space.
CorrelationRegression - Class in org.statcato.statistics.inferential
  Linear correlation and regression between for two variables.
CorrelationRegression(Vector<Double>, Vector<Double>, double) - Constructor for class org.statcato.statistics.inferential.CorrelationRegression
  Constructor.
CorrelationRegressionDialog - Class in org.statcato.dialogs.stat.correg
  A dialog for linear correlation and regression between two variables.
CorrelationRegressionDialog(Frame, boolean, Statcato) - Constructor for class org.statcato.dialogs.stat.correg.CorrelationRegressionDialog
  Creates new form CorrelationRegressionDialog
COS - Static variable in class org.statcato.calculator.MathFunctions
createBoxPlot(DefaultBoxAndWhiskerCategoryDataset, String, String, String, boolean, boolean) - Static method in class org.statcato.graph.GraphFactory
  Creates a box plot.
createGraphImageLabel(JFreeChart) - Static method in class org.statcato.graph.GraphUtils
createImageIcon(String, String) - Method in class org.statcato.Statcato
  Creates an image icon given the file path and description of an image.
createNormalQuantilePlot(Vector<Double>, String, String, String, boolean, boolean) - Static method in class org.statcato.graph.GraphFactory
  Creates a normal quantile plot.
createScatterplot(XYSeriesCollection, String, String, String, boolean, int, double, double, double) - Static method in class org.statcato.graph.GraphFactory
  Creates a scatterplot.
createScatterplot(XYSeriesCollection, String, String, String, boolean, boolean, double, double) - Static method in class org.statcato.graph.GraphFactory
  Creates a scatterplot.
criticalValue() - Method in class org.statcato.statistics.inferential.CI2PopMeanSigmaKnown
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.CI2PopMeanSigmaUnknown
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.CI2PopProp
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.CIMatchedPairs
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.CIOnePopMeanSigmaKnown
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.CIOnePopMeanSigmaUnknown
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.CIOnePopProp
  Returns the critical value corresponding to the given confidence level.
criticalValue() - Method in class org.statcato.statistics.inferential.ConfidenceInterval
  Returns the critical value corresponding to the given confidence level.
criticalValue(double) - Method in class org.statcato.statistics.inferential.ContingencyTable
  Returns the critical value corresponding to the given confidence level and degrees of freedom of the contingency table.
criticalValue() - Method in class org.statcato.statistics.inferential.GoodnessOfFitTest
  Returns the critical value corresponding to the significance level and degrees of freedom.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest1MeanSigmaKnown
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest1MeanSigmaUnknown
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest1Prop
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest1Var
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest2MeanSigmaKnown
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest2MeanSigmaUnknown
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest2Prop
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTest2Var
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.HypothesisTestMatchedPairs
  Returns the critical value corresponding to the given confidence level and type of test.
criticalValue() - Method in class org.statcato.statistics.inferential.nonparametrics.KruskalWallisTest
  Returns the one-tailed critical value.
CriticalValue() - Method in class org.statcato.statistics.inferential.nonparametrics.RankCorrelation
  Returns the critical value for r corresponding to the given significance.
criticalValue() - Method in class org.statcato.statistics.inferential.nonparametrics.RunsTest
CriticalValue(double) - Method in class org.statcato.statistics.inferential.OneWayANOVA
  Returns the critical value corresponding to the given significance.
CriticalValue_r(double) - Method in class org.statcato.statistics.inferential.CorrelationRegression
  Returns the critical value for r corresponding to the given significance.
criticalValue_R() - Method in class org.statcato.statistics.inferential.nonparametrics.WilcoxonRankSumTest
CriticalValue_t(double) - Method in class org.statcato.statistics.inferential.CorrelationRegression
criticalValueLeft() - Method in class org.statcato.statistics.inferential.CI2PopVar
  Returns the left-tail critical value (F_L).
criticalValueRight() - Method in class org.statcato.statistics.inferential.CI2PopVar
  Returns the right-tail critical value (F_R).
CrossTabulation - Class in org.statcato.statistics
  Cross Tabulation Class.
CrossTabulation(Vector<Vector<Cell>>, Vector<String>) - Constructor for class org.statcato.statistics.CrossTabulation
  Constructor.
CrossTabulation - Class in org.statcato.statistics.inferential
  Cross tabulation and Chi-square test.
CrossTabulation(int, int) - Constructor for class org.statcato.statistics.inferential.CrossTabulation
  Constructor, given the number of rows and columns.
CrossTabulationDialog - Class in org.statcato.dialogs.stat.multinomial
  A dialog for cross tabulation and Chi-square test.
CrossTabulationDialog(Frame, boolean) - Constructor for class org.statcato.dialogs.stat.multinomial.CrossTabulationDialog
  Creates new form CrossTabulationDialog
cumBinomial(int, int, double) - Static method in class org.statcato.statistics.SpecialFunctions
  Returns the cumulative binomial probability given n, k, and p, the probability of less than k successes occurring in n trials if a success occurs with probability p per trial
cumChiSquare(double, double) - Static method in class org.statcato.statistics.SpecialFunctions
cumF(double, double, double) - Static method in class org.statcato.statistics.SpecialFunctions
cumNorm(double) - Static method in class org.statcato.statistics.SpecialFunctions
cumT(double, double) - Static method in class org.statcato.statistics.SpecialFunctions
cumulativeProbability(double) - Method in class org.statcato.statistics.BinomialProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.ChiSquareProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.DiscreteCustomProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.DiscreteProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.FProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.GeometricProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.IntegerProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.NormalProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.PoissonProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.ProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.StudentTProbabilityDistribution
  Returns the cumulative probabililty up to x.
cumulativeProbability(double) - Method in class org.statcato.statistics.UniformProbabilityDistribution
  Returns the cumulative probabililty up to x.
customInitComponents() - Method in class org.statcato.dialogs.data.BinomialSampleDialog
customInitComponents() - Method in class org.statcato.dialogs.data.IntegerSampleDialog
customInitComponents() - Method in class org.statcato.dialogs.data.NormalSampleDialog
customInitComponents() - Method in class org.statcato.dialogs.data.SampleFromColumnDialog
customInitComponents() - Method in class org.statcato.dialogs.data.UniformSampleDialog
customInitComponents() - Method in class org.statcato.dialogs.stat.correg.CorrelationRegressionDialog
customInitComponents() - Method in class org.statcato.dialogs.stat.correg.NonLinearModelsDialog
customInitComponents() - Method in class org.statcato.dialogs.stat.multinomial.ContingencyTableDialog
customInitComponents() - Method in class org.statcato.dialogs.stat.multinomial.GoodnessOfFitDialog
customStandardize(Vector<Double>, double, double) - Static method in class org.statcato.statistics.BasicStatistics
  Standardizes a vector of numbers of subtracting one number and then dividing by another number for each number in the vector.

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