ContinuousHistogram Class

Histogram for continuous random values.

Inheritance Hierarchy

SystemObject
Accord.MathContinuousHistogram

Namespace: Accord.Math
Assembly: Accord.Math (in Accord.Math.dll) Version: 3.8.0

Syntax

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[SerializableAttribute]
public class ContinuousHistogram

<SerializableAttribute>
Public Class ContinuousHistogram

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The ContinuousHistogram type exposes the following members.

Constructors

	Name	Description
	ContinuousHistogram	Initializes a new instance of the ContinuousHistogram class.

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Properties

	Name	Description
	Max	Maximum value.
	Mean	Mean value.
	Median	Median value.
	Min	Minimum value.
	Range	Range of random values.
	StdDev	Standard deviation.
	Values	Values of the histogram.

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Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetRange	Get range around median containing specified percentage of values.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Update	Update statistical value of the histogram.

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Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

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Remarks

The class wraps histogram for continuous stochastic function, which is represented by integer array and range of the function. Values of the integer array are treated as total amount of hits on the corresponding subranges, which are calculated by splitting the specified range into required amount of consequent ranges.

For example, if the integer array is equal to { 1, 2, 4, 8, 16 } and the range is set to [0, 1], then the histogram consists of next subranges:

[0.0, 0.2] - 1 hit;
[0.2, 0.4] - 2 hits;
[0.4, 0.6] - 4 hits;
[0.6, 0.8] - 8 hits;
[0.8, 1.0] - 16 hits.

Sample usage:

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// create histogram
ContinuousHistogram histogram = new ContinuousHistogram(
    new int[] { 0, 0, 8, 4, 2, 4, 7, 1, 0 }, new Range( 0.0f, 1.0f ) );
// get mean and standard deviation values
Console.WriteLine( "mean = " + histogram.Mean + ", std.dev = " + histogram.StdDev );

Reference

Accord.Math Namespace