IMSL C# Numerical Library

Covariances Members

Covariances overview

Public Instance Constructors

Covariances Constructor Constructor for Covariances.

Public Instance Properties

MissingValueMethod Sets the method used to exclude missing values in x from the computations.
NumRowMissing Returns the total number of observations that contain any missing values (Double.NaN). Note that the Compute method must be invoked first before invoking this method. Otherwise, the return value is 0.
Observations Returns the sum of the frequencies. Note that the Compute method must be invoked first before invoking this method. Otherwise, the return value is 0.
SumOfWeights Returns the sum of the weights of all observations. Note that the Compute method must be invoked first before invoking this method. Otherwise, the return value is 0.

Public Instance Methods

Compute Computes the matrix.
Equals (inherited from Object) Determines whether the specified Object is equal to the current Object.
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.
GetIncidenceMatrix Returns the incidence matrix. Note that the Compute method must be invoked first before invoking this method. Otherwise, the method throws a NullReferenceException exception.
GetMeans Returns the means of the variables in x.
GetType (inherited from Object) Gets the Type of the current instance.
SetFrequencies The frequency for each observation.
SetWeights Sets the weight for each observation.
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

Covariances Class | Imsl.Stat Namespace | Example