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Circular Class |
Set of statistics functions operating over a circular space.
Inheritance HierarchySystemObject
Accord.StatisticsCircular
Accord.StatisticsCircular
Namespace: Accord.Statistics
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
SyntaxThe Circular type exposes the following members.
Methods| Name | Description | |
|---|---|---|
  | AngularDeviation(Double) |
Computes the Angular Deviation of the given angles.
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| AngularDeviation(Double, Double) |
Computes the circular angular deviation of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
|
| AngularDeviation(Int32, Double, Double) |
Computes the Angular Deviation of the given angles.
|
| CentralMoments |
Computes the complex circular central
moments of the given circular angles.
|
| Concentration(Double) |
Computes the concentration (kappa) of the given angles.
|
| Concentration(Double, Double) |
Computes the concentration (kappa) of the given angles.
|
| Distance(Double, Double) |
Computes the angular distance between two angles.
|
| Distance(Double, Double, Double) |
Computes the distance between two circular samples.
|
| Distance(Double, Double, Double, Double) |
Computes the angular distance between two angles.
|
| Kurtosis |
Computes the circular kurtosis of the given circular angles.
|
| Mean(Double) |
Computes the Mean direction of the given angles.
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| Mean(Double, Double) |
Computes the circular Mean direction of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
|
| Mean(Int32, Double, Double) |
Computes the Mean direction of the given angles.
|
| Median(Double) |
Computes the circular Median direction of the given angles.
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| Median(Double, Double) |
Computes the circular Median of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
|
| NoncentralMoments |
Computes the complex circular non-central
moments of the given circular angles.
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| Quartiles(Double, DoubleRange, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular angles.
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| Quartiles(Double, DoubleRange, Double, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular angles.
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| Quartiles(Double, Double, DoubleRange, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| Quartiles(Double, Double, Double, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular angles.
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| Quartiles(Double, Double, DoubleRange, Double, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| Quartiles(Double, Double, Double, Double, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| Quartiles(Double, Double, Double, Double, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular angles.
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| Quartiles(Double, Double, Double, Double, Double, Boolean, QuantileMethod) |
Computes the circular quartiles of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
|
| Resultant(Double) |
Computes the mean resultant vector length (r) of the given angles.
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| Resultant(Double, Double) |
Computes the resultant vector length (r) of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| Resultant(Int32, Double, Double) |
Computes the mean resultant vector length (r) of the given angles.
|
| Skewness |
Computes the circular skewness of the given circular angles.
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| StandardDeviation(Double) |
Computes the Standard Deviation of the given angles.
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| StandardDeviation(Double, Double) |
Computes the circular standard deviation of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| StandardDeviation(Int32, Double, Double) |
Computes the Standard Deviation of the given angles.
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| StandardError(Double, Double) |
Computes the standard error of the given angles.
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| StandardError(Double, Double, Double) |
Computes the circular standard error of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| StandardError(Int32, Double, Double, Double) |
Computes the standard error of the given angles.
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| Sum |
Computes the sum of cosines and sines for the given angles.
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| ToCircular |
Transforms angular data back into circular data (reverts the
ToRadians(Double, Double, Boolean) transformation.
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| ToRadians(Double, Double) |
Transforms circular data into angles (normalizes the data to be between -PI and PI).
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| ToRadians(Double, Double, Boolean) |
Transforms circular data into angles (normalizes the data to be between -PI and PI).
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| Variance(Double) |
Computes the Variance of the given angles.
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| Variance(Double, Double) |
Computes the circular variance of the given circular samples.
The minimum possible value for a sample must be zero and the maximum must
be indicated in the parameter length.
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| Variance(Int32, Double, Double) |
Computes the Variance of the given angles.
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| WeightedConcentration(Double, Double) |
Computes the Weighted Concentration of the given angles.
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| WeightedConcentration(Double, Double, Double) |
Computes the Weighted Concentration of the given angles.
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| WeightedMean |
Computes the Weighted Mean of the given angles.
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Remarks
This class represents collection of common functions used in
statistics. The values are handled as belonging to a distribution
defined over a circle, such as the VonMisesDistribution.
See Also