DVector Methods

The DVector type exposes the following members.

Methods

	Name	Description
	Abs	Gets the absolute values of the vector's items.
	ACF	Computes autocorrelation for all lags.
	All	Checks whether the predicate is satisfied by all items.
	AMax	Gets the cell with the maximum absolute value.
	AMin	Gets the cell with the minimum absolute value.
	Any	Checks whether the predicate is satisfied by at least one item.
	ARModel	Creates an AR model from a vector and a degree.
	AutoCorrelation	Computes the autocorrelation for a fixed lag.
	AutoRegression	Finds the coefficients for an autoregressive model.
	Clone	Creates an identical vector.
	Combine	Low-level method to linearly combine vectors with weights.
	Combine2	Low-level method to linearly combine two vectors with weights.
	Contains	Checks if the vector contains the given value.
	Correlogram	Computes autocorrelation for a range of lags.
	Distance	Computes the maximum difference between cells.
	Distinct	Returns a new vector with the distinct values in the original one.
	Equals(DVector)	Checks if the provided argument is a vector with the same values.
	Equals(Object)	Checks if the provided argument is a vector with the same values. (Overrides ValueTypeEquals(Object))
	Equals(DVector, DVector, Double)	Compares two vectors for equality within a tolerance.
	Fft	Computes the real discrete Fourier transform.
	Filter	Creates a new vector by filtering items with the given predicate.
	FilterMap	Creates a new vector by filtering and mapping at the same time.
	Find(Double)	Returns all indexes containing ocurrences of a value.
	Find(FuncDouble, Boolean)	Returns all indexes satisfying a condition.
	FullLinearModel	Creates a linear model a set of predictors.
	GetEnumerator	Retrieves an enumerator to iterate over components.
	GetHashCode	Returns the hashcode for this vector. (Overrides ValueTypeGetHashCode)
	GetType	Gets the Type of the current instance. (Inherited from Object)
	IndexOf(Double)	Returns the zero-based index of the first occurrence of a value.
	IndexOf(Double, Int32)	Returns the zero-based index of the first occurrence of a value.
	InplaceAdd	Inplace addition of two vectors.
	InplaceNegate	Inplace negation of the vector.
	InplaceSub	Inplace substraction of two vectors.
	LinearModel	Multilinear regression based in Ordinary Least Squares.
	MAModel	Creates an MA model from a vector and a degree.
	Map	Creates a new vector by transforming each item with the given function.
	Maximum	Gets the item with the maximum value.
	Mean	Computes the mean of the vector's items.
	Minimum	Gets the item with the minimum value.
	MovingAverage	Finds the coefficients for a moving average model.
	MultiplyAdd(Double, DVector)	Optimized vector multiplication and addition.
	MultiplyAdd(DVector, DVector)	Optimized vector multiplication and addition.
	MultiplySubtract(Double, DVector)	Optimized vector scaling and subtraction.
	MultiplySubtract(DVector, DVector)	Optimized vector multiplication and subtraction.
	Norm	Gets the Euclidean norm of this vector.
	PACF	Computes the partial autocorrelation for all lags.
	PACFRaw	Computes the partial autocorrelation for all lags.
	Plot	Creates a plot for this vector.
	PointwiseDivide	Pointwise division.
	PointwiseMultiply	Pointwise multiplication.
	Product	Calculates the product of the vector's items.
	Reduce	Creates an aggregate value by applying the reducer to each item.
	Reverse	Creates a reversed copy of the vector.
	SafeThis	Safe access to the vector's components. If the index is out of range, a zero is returned.
	Sort	Returns a new vector with sorted values.
	SortDescending	Returns a new vector with sorted values.
	Sqrt	Pointwise squared root.
	Squared	Gets the squared norm of this vector.
	Stats	Gets statistics on the vector values.
	SubtractMultiply	Optimized subtraction of scaled vector.
	Sum	Calculates the sum of the vector's items.
	ToString	Gets a textual representation of this vector. (Overrides ValueTypeToString)
	ToString(String, IFormatProvider)	Gets a textual representation of this vector.
	Zip	Combines the common prefix of two vectors.

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Extension Methods

	Name	Description
	CreateDiagonal	Creates a diagonal matrix given its diagonal. (Defined by Vec)

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See Also