Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Nuget packages
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Nuget packages
    • Configuration
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Data Access Library User's Guide
    • Reference
  • Reference
    • Extreme
    • Extreme.Collections
    • Extreme.Data
    • Extreme.Data.Json
    • Extreme.Data.Matlab
    • Extreme.Data.R
    • Extreme.Data.Stata
    • Extreme.Data.Text
    • Extreme.DataAnalysis
    • Extreme.DataAnalysis.Linq
    • Extreme.DataAnalysis.Models
    • Extreme.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Providers
    • Extreme.Providers.InteropServices
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.Multivariate
    • Extreme.Statistics.Tests
    • Extreme.Statistics.TimeSeriesAnalysis
  • Extreme.Statistics
    • AnovaModel Class
    • AnovaModelRow Class
    • AnovaRow Class
    • AnovaRowType Enumeration
    • AnovaTable Class
    • Cell Structure
    • ContingencyTable Class
    • ContingencyTableCell Structure
    • DateTimeInterval Structure
    • Descriptives(T) Class
    • Filter Class
    • GeneralizedLinearModel Class
    • HypothesisTests Class
    • Kernel Class
    • KernelDensity Class
    • KernelDensityBandwidthEstimator Enumeration
    • LinearRegressionModel Class
    • LinkFunction Class
    • LogisticRegressionMethod Enumeration
    • LogisticRegressionModel Class
    • ModelFamily Class
    • NearestCorrelationMatrixAlgorithm Enumeration
    • NonlinearRegressionModel Class
    • OneWayAnovaModel Class
    • OneWayRAnovaModel Class
    • PolynomialRegressionModel Class
    • RegularizedRegressionModel Class
    • ScaleFittingMethod Enumeration
    • SimpleRegressionKind Enumeration
    • SimpleRegressionModel Class
    • Stats Class
    • StepwiseCriterion Enumeration
    • StepwiseOptions Class
    • StepwiseRegressionMethod Enumeration
    • SumsOfSquaresType Enumeration
    • TestOfHomogeneityOfVariances Enumeration
    • TestOfNormality Enumeration
    • TwoWayAnovaModel Class
    • WindowFilter Class
  • WindowFilter Class
    • WindowFilter Constructors
    • WindowFilter Properties
    • WindowFilter Methods

WindowFilter Class

Extreme Optimization Numerical Libraries for .NET Professional
Represents a sliding window on a variable or variable collection.
Inheritance Hierarchy

SystemObject
  Extreme.StatisticsFilter
    Extreme.StatisticsWindowFilter

Namespace:  Extreme.Statistics
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
Copy
public class WindowFilter : Filter
Public Class WindowFilter
	Inherits Filter
public ref class WindowFilter : public Filter
type WindowFilter =  
    class
        inherit Filter
    end

The WindowFilter type exposes the following members.

Constructors

  NameDescription
Public methodWindowFilter(Int32)
Creates a new window filter of the specified length.
Public methodWindowFilter(Int32, Int32)
Creates a new window filter of the specified length.
Top
Properties

  NameDescription
Public propertyEndIndex
Gets the index of the observation past the last visible observation.
(Inherited from Filter.)
Public propertyFilteredLength
Gets the length of the filtered data.
(Inherited from Filter.)
Public propertyIsContiguous
Gets whether the filter selects a contiguous range.
(Inherited from Filter.)
Public propertyItem
Gets the unfiltered index of the observation at the specified index.
(Inherited from Filter.)
Public propertyLength
Gets the length of the unfiltered data.
(Inherited from Filter.)
Public propertyStartIndex
Gets the index of the first visible observation.
(Inherited from Filter.)
Top
Methods

  NameDescription
Public methodApplySort
Returns a filter that applies the specified sort filter to the current filter.
(Inherited from Filter.)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetEnumerator
Returns an enumerator that iterates over the indexes in the filter.
(Inherited from Filter.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetReverse
Returns a filter that lists the observations of the current filter in reverse order.
(Inherited from Filter.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Top
Remarks

Use the WindowFilter class to define a filter for a variable or variable collection that provides a sliding window on the variable or collection that provides access to the most observations only.
See Also

Reference

Extreme.Statistics Namespace

Copyright (c) 2004-2021 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2021, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.