The Covariances type exposes the following members.
Constructors
Name | Description | |
---|---|---|
![]() | Covariances |
Constructor for Covariances.
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Methods
Name | Description | |
---|---|---|
![]() | Compute |
Computes the matrix.
|
![]() | Equals | (Inherited from Object.) |
![]() | Finalize |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.) |
![]() | GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
![]() | 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.
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![]() | GetMeans |
Returns the means of the variables in x.
|
![]() | GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
![]() | MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) |
![]() | SetFrequencies |
The frequency for each observation.
|
![]() | SetWeights |
Sets the weight for each observation.
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![]() | ToString | (Inherited from Object.) |
Properties
Name | Description | |
---|---|---|
![]() | MissingValueMethod |
Sets the method used to exclude missing values in x from the
computations.
|
![]() | NumberOfProcessors |
Perform the parallel calculations with the maximum possible number of
processors set to NumberOfProcessors.
|
![]() | 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.
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