SphericalDescriptiveStatistics Methods |
The SphericalDescriptiveStatistics type exposes the following members.
Name | Description | |
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DispersionAboutPosition |
Calculates the dispersion about a given input position.
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MeanDirection |
Calculates the mean direction of a list of data.
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MeanResultantLength |
Calculates the mean resultant length of a list of data.
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MeanVector |
Computes the mean vector.
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MedianDirection(IListUnitCartesian) |
Calculates the median direction of the data by using a simplex heuristic optimizer.
The calculation method of the optimizer defaults to NormalizedSpatialMedian which minimizes the normalized spatial median function.
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MedianDirection(IListUnitCartesian, SphericalMedianCalculationMethod) |
Calculates the median direction of the data by using a simplex heuristic optimizer.
The optimizer minimizes the normalized spatial median function or the embedded R^3 arc distance function to compute the median.
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MedianDirection(IListUnitCartesian, SphericalMedianCalculationMethod, MultivariableFunctionSolverResultsMultivariableFunctionSolverIterationResults) |
Calculates the median direction of the data by using a simplex heuristic optimizer.
The optimizer minimizes the normalized spatial median function or the embedded R^3 arc distance function to compute the median.
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ScatterMatrix |
Calculates the scatter matrix based upon the input data.
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Variance |
Calculates the variance of a list of data.
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