﻿VectorBase Methods

# VectorBase Methods

The VectorBase type exposes the following members.

Methods
NameDescription
Column
Gets a copy of the specified column.
(Inherited from AnyRectangularMatrix.)
Equals(Object)
Determines whether the given object is an equal matrix.
(Inherited from AnyRectangularMatrix.)
Equals(AnyRectangularMatrix)
Determines whether the given matrix equals the current matrix.
(Inherited from AnyRectangularMatrix.)
Fill
Sets all matrix entries according to a supplied fill function.
(Inherited from AnyMatrixT.)
Finalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
FrobeniusNorm
Computes the Frobenius-norm of the matrix.
(Inherited from AnyRectangularMatrix.)
GetEnumerator
Gets an enumerator of the vector components.
GetHashCode
Not a valid operation.
(Inherited from AnyRectangularMatrix.)
GetType
Gets the Type of the current instance.
(Inherited from Object.)
InfinityNorm
Computes the ∞-norm of the matrix.
(Inherited from AnyRectangularMatrix.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
MultiplySelfByTranspose
Computes the product of the matrix and its transpose.
(Inherited from AnyRectangularMatrix.)
MultiplyTransposeBySelf
Computes the product of the matrix's transpose and itself.
(Inherited from AnyRectangularMatrix.)
Norm
Computes the magnitude of the vector.
OneNorm
Computes the 1-norm of the matrix.
(Inherited from AnyRectangularMatrix.)
Row
Gets a copy of the specified row.
(Inherited from AnyRectangularMatrix.)
ToArray
Returns the vector elements in an independent array.
ToString
Returns a string that represents the current object.
(Inherited from Object.)
Top
Extension Methods
NameDescription
Computes the autocovariance for all lags.
(Defined by Series.)
Computes the autocovariance of the series at the given lag.
(Defined by Series.)
CentralMoment
Computes the given sample central moment.
(Defined by Univariate.)
CorrectedStandardDeviation
Computes the Bessel-corrected standard deviation.
(Defined by Univariate.)
CorrelationCoefficient
Computes the correlation coefficient between the two variables.
(Defined by Bivariate.)
Covariance
Computes the covariance of the two variables.
(Defined by Bivariate.)
FitToAR1
Fits an AR(1) model to the time series.
(Defined by Series.)
FitToBeta
Finds the Beta distribution that best fits the given sample.
(Defined by Univariate.)
FitToExponential
Finds the exponential distribution that best fits the given sample.
(Defined by Univariate.)
FitToGamma
Finds the Gamma distribution that best fits the given sample.
(Defined by Univariate.)
FitToGumbel
Find the Gumbel distribution that best fit the given sample.
(Defined by Univariate.)
FitToLognormal
Finds the log-normal distribution that best fits the given sample.
(Defined by Univariate.)
FitToMA1
Fits an MA(1) model to the time series.
(Defined by Series.)
FitToNormal
Finds the normal distribution that best fits the given sample.
(Defined by Univariate.)
FitToRayleigh
Finds the Rayleigh distribution that best fits the given sample.
(Defined by Univariate.)
FitToWald
Finds the Wald distribution that best fits a sample.
(Defined by Univariate.)
FitToWeibull
Finds the Weibull distribution that best fits the given sample.
(Defined by Univariate.)
InterquartileRange
Finds the interquartile range.
(Defined by Univariate.)
InverseLeftProbability
Finds the sample value corresponding to a given percentile.
(Defined by Univariate.)
KolmogorovSmirnovTest
Tests whether the sample is compatible with the given distribution.
(Defined by Univariate.)
KuiperTest
Tests whether the sample is compatible with the given distribution.
(Defined by Univariate.)
LeftProbability
Gets the fraction of values equal to or less than the given value.
(Defined by Univariate.)
LinearRegression
Computes the best-fit linear regression from the data.
(Defined by Bivariate.)
Performs a Ljung-Box test for non-correlation.
(Defined by Series.)
Performs a Ljung-Box test for non-correlation with the given number of lags.
(Defined by Series.)
Maximum
Finds the maximum value.
(Defined by Univariate.)
MaximumLikelihoodFit
Finds the parameters that make an arbitrary, parameterized distribution best fit the sample.
(Defined by Univariate.)
Mean
Computes the sample mean.
(Defined by Univariate.)
Median
Finds the median.
(Defined by Univariate.)
Minimum
Finds the minimum value.
(Defined by Univariate.)
Performs a multivariate linear regression on the named columns.
(Defined by Multivariate.)
Performs a multivariate linear regression.
(Defined by Multivariate.)
Finds the parameterized function that best fits the data.
(Defined by Bivariate.)
Finds the parameterized function that best fits the data.
(Defined by Bivariate.)
PolynomialRegression
Computes the polynomial of given degree which best fits the data.
(Defined by Bivariate.)
PopulationCentralMoment
Estimates the given central moment of the underlying population.
(Defined by Univariate.)
PopulationCovariance
Estimates the covariance of the two variables in the population.
(Defined by Bivariate.)
PopulationMean
Estimates the mean of the underlying population.
(Defined by Univariate.)
PopulationRawMoment
Estimates the given raw moment of the underlying population.
(Defined by Univariate.)
PopulationStandardDeviation
Estimates of the standard deviation of the underlying population.
(Defined by Univariate.)
PopulationVariance
Estimates of the variance of the underlying population.
(Defined by Univariate.)
PowerSpectrum
Computes the power spectrum of the time series.
(Defined by Series.)
RawMoment
Computes the given sample raw moment.
(Defined by Univariate.)
SeriesPopulationStatistics
Computes estimates for the moments of the population from which the time series is drawn.
(Defined by Series.)
ShapiroFranciaTest
Performs a Shapiro-Francia test of normality on the sample.
(Defined by Univariate.)
SignTest
Tests whether the sample median is compatible with the given reference value.
(Defined by Univariate.)
Skewness
Computes the sample skewness.
(Defined by Univariate.)
StandardDeviation
Computes the sample standard deviation.
(Defined by Univariate.)
StudentTTest
Tests whether the sample mean is compatible with the reference mean.
(Defined by Univariate.)
Trimean
Finds the tri-mean.
(Defined by Univariate.)
Variance
Computes the sample variance.
(Defined by Univariate.)
ZTest
Performs a z-test to test whether the given sample is compatible with the given normal reference population.
(Defined by Univariate.)
Top