CircularDescriptiveMeasures Class

Circular descriptive measures for a variable.

Inheritance Hierarchy

SystemObject
Accord.Statistics.AnalysisCircularDescriptiveMeasures

Namespace: Accord.Statistics.Analysis
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

[SerializableAttribute]
public class CircularDescriptiveMeasures : IDescriptiveMeasures

<SerializableAttribute>
Public Class CircularDescriptiveMeasures
	Implements IDescriptiveMeasures

The CircularDescriptiveMeasures type exposes the following members.

Properties

	Name	Description
	Analysis	Gets the circular analysis that originated this measure.
	Angles	Obsolete. Gets the transformed variable's observations.
	Confidence	Gets the 95% confidence interval around the Mean.
	CosineSum	Gets the sum of cosines for the variable.
	Count	Gets the number of samples for the variable.
	Deviance	Gets the 95% deviance interval around the Mean.
	Distinct	Gets the number of distinct values for the variable.
	Index	Gets the variable's index.
	InnerFence	Gets the variable's inner fence range.
	Kurtosis	Gets the variable kurtosis.
	Length	Gets the variable's length.
	Max	Gets the variable's maximum value.
	Mean	Gets the variable's mean.
	Median	Gets the variable's median.
	Min	Gets the variable's minimum value.
	Mode	Gets the variable's mode.
	Name	Gets the variable's name
	OuterFence	Gets the variable's outer fences range.
	Quartiles	Gets the variable's interquartile range.
	Samples	Obsolete. Gets the variable's observations.
	SineSum	Gets the sum of sines for the variable.
	Skewness	Gets the variable skewness.
	StandardDeviation	Gets the variable's standard deviation.
	StandardError	Gets the variable's standard error of the mean.
	Sum	Gets the variable's total sum.
	Variance	Gets the variable's variance.

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.)
	GetConfidenceInterval	Gets a confidence interval for the Mean within the given confidence level percentage.
	GetDevianceInterval	Gets a deviance interval for the Mean within the given confidence level percentage (i.e. uses the standard deviation rather than the standard error to compute the range interval for the variable).
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	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.)

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.)