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BivariateSample Methods

The BivariateSample type exposes the following members.

Methods
  NameDescription
Public methodAdd(XY)
Adds a data point to the sample.
Public methodAdd(IEnumerableXY)
Adds multiple data points to the sample.
Public methodAdd(IListDouble, IListDouble)
Adds points from two lists to the sample.
Public methodAdd(Double, Double)
Adds a data point to the sample.
Public methodClear
Removes all data points from the sample.
Public methodContains(XY)
Determines whether the sample contains a given data point.
Public methodContains(Double, Double)
Determines whether the sample contains a given data point.
Public methodCopy
Copies the bivariate sample.
Public methodEquals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
Public methodGetEnumerator
Gets an enumerator of sample values.
Public methodGetHashCode
Serves as a hash function for a particular type.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Public methodKendallTauTest
Performs a Kendall concordance test for association.
Public methodLinearLogisticRegression
Computes the best-fit linear logistic regression from the data.
Public methodLinearRegression
Computes the best-fit linear regression from the data.
Public methodNonlinearRegression
Finds the parameterized function that best fits the data.
Public methodPairedStudentTTest
Performs a paired Student t-test.
Public methodPearsonRTest
Performs a Pearson correlation test for association.
Public methodPolynomialRegression
Computes the polynomial of given degree which best fits the data.
Public methodRemove(XY)
Removes a data point from the sample.
Public methodRemove(Double, Double)
Removes a data point from the sample.
Public methodSpearmanRhoTest
Performs a Spearman rank-order test of association between the two variables.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTransposeXY
Swaps the X and Y variables in the bivariate sample.
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See Also