Extreme Optimization™: Complexity made simple.

Numerical Components
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
    • 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
    • Contact us
Introduction
Deployment Guide
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 Statistics Library User's GuideStatistics Library User's Guide
Expand ReferenceReference
  • Home
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Reference
    • Extreme.Mathematics Namespace
    • Extreme.Mathematics.Algorithms Namespace
    • Extreme.Mathematics.Calculus Namespace
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations Namespace
    • Extreme.Mathematics.Curves Namespace
    • Extreme.Mathematics.Curves.Nonlinear Namespace
    • Extreme.Mathematics.EquationSolvers Namespace
    • Extreme.Mathematics.Generic Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra Namespace
    • Extreme.Mathematics.Generic.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex Namespace
    • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions Namespace
    • Extreme.Mathematics.LinearAlgebra.IO Namespace
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers Namespace
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners Namespace
    • Extreme.Mathematics.LinearAlgebra.Providers Namespace
    • Extreme.Mathematics.LinearAlgebra.Sparse Namespace
    • Extreme.Mathematics.Optimization Namespace
    • Extreme.Mathematics.Optimization.LineSearches Namespace
    • Extreme.Mathematics.SignalProcessing Namespace
    • Extreme.Statistics Namespace
    • Extreme.Statistics.Distributions Namespace
    • Extreme.Statistics.IO Namespace
    • Extreme.Statistics.Multivariate Namespace
    • Extreme.Statistics.Random Namespace
    • Extreme.Statistics.Tests Namespace
    • Extreme.Statistics.TimeSeriesAnalysis Namespace
  • Extreme.Statistics Namespace
    • Aggregator Class
    • AnovaModel Class
    • AnovaModelRow Class
    • AnovaRow Class
    • AnovaRowCollection Class
    • AnovaRowType Enumeration
    • AnovaTable Class
    • BoundaryIntervalBehavior Enumeration
    • CategoricalScale Class
    • CategoricalVariable Class
    • CategoricalVariable.CategoricalFilters Structure
    • Cell Class
    • CellArray Class
    • CollectionSortOrder Class
    • ContingencyTable Class
    • ContingencyTableCell Structure
    • DataArray(T) Class
    • DataArrayElement(T) Class
    • DateTimeInterval Structure
    • DateTimeScale Class
    • DateTimeUnit Enumeration
    • DateTimeVariable Class
    • DateTimeVariable.DateTimeFilters Structure
    • Filter Class
    • GeneralizedLinearModel Class
    • Histogram Class
    • HistogramBin Structure
    • HistogramBinCollection Class
    • InsufficientDataException Class
    • KeyVariable Class
    • KeyVariable(T) Class
    • LinearRegressionModel Class
    • LinkFunction Class
    • LogisticRegressionMethod Enumeration
    • LogisticRegressionModel Class
    • MissingValueAction Enumeration
    • MissingValueException Class
    • Model Class
    • ModelFamily Class
    • NonlinearRegressionModel Class
    • NumericalScale Class
    • NumericalVariable Class
    • NumericalVariable.NumericalFilters Structure
    • NumericalVariable.NumericalVariableTransforms Structure
    • Observation Structure
    • ObservationCollection Class
    • OneWayAnovaModel Class
    • OneWayRAnovaModel Class
    • Parameter Class
    • ParameterCollection Class
    • PolynomialRegressionModel Class
    • RankTiebreaker Enumeration
    • ScaleFittingMethod Enumeration
    • SimpleRegressionKind Enumeration
    • SimpleRegressionModel Class
    • SortOrder Enumeration
    • SpecialBins Enumeration
    • Stats Class
    • StepwiseCriterion Enumeration
    • StepwiseOptions Class
    • StepwiseRegressionMethod Enumeration
    • TestOfHomogeneityOfVariances Enumeration
    • TestOfNormality Enumeration
    • TransformedParameter Class
    • TwoWayAnovaModel Class
    • UnivariateModel Class
    • Variable Class
    • VariableCollection Class
    • WindowFilter Class
  • NumericalScale Class
    • Members
    • Constructors
    • Methods
    • Properties
Collapse image Expand Image Copy image CopyHover image
         




NumericalScale Class

Members See Also 
Represents a division of a numerical range into a number of intervals.

Namespace: Extreme.Statistics
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 4.2.11333.0 (4.2.12253.0)

Syntax

C#
                      public class NumericalScale : CategoricalScale
Visual Basic (Declaration)
                      Public Class NumericalScale _
	Inherits CategoricalScale
Visual C++
                      public ref class NumericalScale : public CategoricalScale
F#
                      type NumericalScale =  
    class
        inherit CategoricalScale
    end

Remarks

Use the NumericalScale class to represent a categorization of a range of numerical values. The categories are contiguous intervals on a range of real numbers that may be infinite.

There are two ways to supply the intervals. The first is to supply an array containing the boundaries of the intervals. Every value except the first and the last acts both as the upper bound of one interval and the lower bound of the next. The second way is to supply an interval and a number of intervals. In this case, the interval is divided into the specified number of subintervals, each corresponding to a category.

NumericalScale inherits from CategoricalScale. The intervals of the NumericalScale correspond to the levels of the CategoricalScale.

The Map(Object) method maps a real number to an interval. Overloads are available that map many values in one operatioin

Using a NumericalScale, a NumericalVariable can be transformed into a CategoricalVariable. A NumericalScale object is also used by the Histogram class to map values to histogram bins.

Inheritance Hierarchy

System..::..Object
  Extreme.Statistics..::..CategoricalScale
    Extreme.Statistics..::..NumericalScale

See Also

NumericalScale Members
Extreme.Statistics Namespace
Extreme.Statistics..::..NumericalVariable
Extreme.Mathematics..::..Interval
Extreme.Statistics..::..CategoricalScale

Send comments on this topic to support@extremeoptimization.com

Copyright (c) 2004-2011 ExoAnalytics Inc.

Copyright © 2003-2013, 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.