MultivariateSample Class

Represents a multivariate sample.

Inheritance Hierarchy

SystemObject
Meta.Numerics.StatisticsMultivariateSample

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

C++

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public sealed class MultivariateSample : ICollection<double[]>, 
	IEnumerable<double[]>, IEnumerable

Public NotInheritable Class MultivariateSample
	Implements ICollection(Of Double()), IEnumerable(Of Double()), 
	IEnumerable

public ref class MultivariateSample sealed : ICollection<array<double>^>, 
	IEnumerable<array<double>^>, IEnumerable

[<SealedAttribute>]
type MultivariateSample =  
    class
        interface ICollection<float[]>
        interface IEnumerable<float[]>
        interface IEnumerable
    end

The MultivariateSample type exposes the following members.

Constructors

	Name	Description
	MultivariateSample(Int32)	Initializes a new multivariate sample.
	MultivariateSample(String)	Initializes a new multivariate sample with the given variable names.

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Properties

	Name	Description
	Count	Gets the number of entries in the sample.
	Dimension	Gets the dimension of the sample.
	IsReadOnly	Gets a value indicating whether the multivariate sample can be modified.

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Methods

	Name	Description
	Add(IReadOnlyListDouble)	Adds an entry to the sample.
	Add(Double)	Adds an entry to the sample.
	CentralMoment(IReadOnlyListInt32)	Computes the given sample central moment.
	CentralMoment(Int32)	Computes the given sample central moment.
	Clear	Removes all entries from the sample.
	Column	Gets the indicated column as a univariate Sample.
	Columns(IReadOnlyListInt32)	Gets the indicated columns as a multivariate sample.
	Columns(Int32)	Gets the indicated columns as a multivariate sample.
	Contains(IReadOnlyListDouble)	Determines whether the sample contains a given entry.
	Contains(Double)	Determines whether the sample contains a given entry.
	Copy	Copies the multivariate sample.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	GetEnumerator	Gets an enumerator over the sample entries.
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	LinearRegression	Performs a linear regression analysis.
	LogisticLinearRegression	Performs a linear logistic regression analysis.
	MeansClustering	Compute k-means clusters of the data.
	PrincipalComponentAnalysis	Performs a principal component analysis of the data.
	RawMoment(IReadOnlyListInt32)	Computes the given sample raw moment.
	RawMoment(Int32)	Computes the given sample raw moment.
	Remove(IReadOnlyListDouble)	Removes an entry from the sample.
	Remove(Double)	Removes an entry from the sample.
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	TwoColumns	Gets the indicated columns as a BivariateSample.

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Remarks

A multivariate sample is simply a sample in which more than one number is associated with each data point. A study which records only the height of each subject could use the Sample class to store its data, but a study which records the income and height of each subject should use MutlivariateSample class. In addition to descriptive statistics, this class offers tests for studying the associations between the recorded variables, and routines for fitting the sample to a model.

Reference

Meta.Numerics.Statistics Namespace