WebCab Probability and Statistics for COM v3.3 Demo

CorrelationStateful Members

CorrelationStateful overview

Public Instance Methods

AddValue Adds a new pair of (ordered) numbers (xValue, yValue) to the data set.
AddValues Adds a new set of (ordered) pairs of data to the data set.
CoefficientOfDetermination Calculates the coefficient of determination for the current set of data.
Equals (inherited from Object)Determines whether the specified Object is equal to the current Object.
EstimateX Estimates the value of the X variable when the Y variable is known using the regression line of X on Y, which can be evaluated using LeastSquaresRegressionLineX.
EstimateY Estimates the value of the Y variable when the X variable is known using the regression line of Y on X, which can be evaluated using LeastSquaresRegressionLineY.
GetHashCode (inherited from Object)Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table.
GetType (inherited from Object)Gets the Type of the current instance.
KendallCorrelationCoefficient Calculates Kendall's correlation coefficient for the current data set.
LeastSquaresRegressionLineX Constructs the regression line of X on Y using the method of least squares.
LeastSquaresRegressionLineY Constructs the regression line of Y on X using the method of least squares.
MeanX Calculates the arithmetic mean of the elements of the first element (i.e. X) of the pairs of values from which the current data set is constructed.
MeanY Calculates the arithmetic mean of the elements of the second element (i.e. Y) of the pairs of values from which the current data set is constructed.
PearsonCorrelationCoefficient Calculates Pearson's correlation coefficient for the current data set.
Residuals Determines the residual for a given pair of points within the current data set in accordance with the regression line constructed using LeastSquaresRegressionLineX.
ResidualsAverage Determines the arithmetic average of the residuals for all pairs of points within the current data set in accordance with the regression line constructed using LeastSquaresRegressionLineX.
SampleVarianceX Calculates the sample variance of the elements of the first element (i.e. X) of the pairs of values from which the current data set is constructed.
SampleVarianceY Calculates the sample variance of the elements of the second element (i.e. Y) of the pairs of values from which the current data set is constructed.
Significance Calculates the significance test for a given correlation coefficient.
SpearmanRankTest Calculates Spearson's Rank correlation coefficient for the current data set.
ToString (inherited from Object)Returns a String that represents the current Object.

Protected Instance Methods

Finalize (inherited from Object)Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
MemberwiseClone (inherited from Object)Creates a shallow copy of the current Object.

See Also

CorrelationStateful Class | WebCab.COM.Statistics.Correlation Namespace