Class Distribution

Inheritance
Object
Distribution
Inherited Members
Namespace: TowseyLibrary
Assembly: TowseyLibrary.dll
Syntax
public class Distribution

Constructors

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Distribution(Double[], Double, Double, Double, Boolean)

Declaration
public Distribution(double[] values, double min, double max, double binWidth, bool regularise)
Parameters
Type Name Description
Double[] values
Double min
Double max
Double binWidth
Boolean regularise
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Distribution(Int32, Int32)

Initializes a new instance of the Distribution class. CONSTRUCTOR The minimum integer is assumed to be zero.

Declaration
public Distribution(int binCount, int binWidth)
Parameters
Type Name Description
Int32 binCount
Int32 binWidth
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Distribution(Int32[], Int32)

Declaration
public Distribution(int[] values, int max)
Parameters
Type Name Description
Int32[] values
Int32 max
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Distribution(Int32[], Int32, Boolean)

Declaration
public Distribution(int[] values, int max, bool regularise)
Parameters
Type Name Description
Int32[] values
Int32 max
Boolean regularise

Methods

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addNegativeValue(Int32)

Declaration
public void addNegativeValue(int value)
Parameters
Type Name Description
Int32 value
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addPositiveValue(Int32)

Declaration
public void addPositiveValue(int value)
Parameters
Type Name Description
Int32 value
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addValue(Int32)

Declaration
public void addValue(int value)
Parameters
Type Name Description
Int32 value
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calculateIC()

calculates the information content.

Declaration
public void calculateIC()
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calculateIC(Double[])

Declaration
public double[] calculateIC(double[] p)
Parameters
Type Name Description
Double[] p
Returns
Type Description
Double[]
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getDistribution()

Declaration
public int[] getDistribution()
Returns
Type Description
Int32[]
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getExpectedIC()

Declaration
public double getExpectedIC()
Returns
Type Description
Double
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getInfoDistribution()

Declaration
public double[] getInfoDistribution()
Returns
Type Description
Double[]
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getLogProbability(Int32)

Declaration
public double getLogProbability(int value)
Parameters
Type Name Description
Int32 value
Returns
Type Description
Double
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getLogProbability(Int32, Int32)

Declaration
public double getLogProbability(int start, int end)
Parameters
Type Name Description
Int32 start
Int32 end
Returns
Type Description
Double
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getMax()

Declaration
public int getMax()
Returns
Type Description
Int32
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getMaxIndex()

Declaration
public int getMaxIndex()
Returns
Type Description
Int32
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getMin()

Declaration
public int getMin()
Returns
Type Description
Int32
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getMinIndex()

Declaration
public int getMinIndex()
Returns
Type Description
Int32
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getNormalisedDistribution()

Declaration
public double[] getNormalisedDistribution()
Returns
Type Description
Double[]
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getProbability(Int32)

Declaration
public double getProbability(int value)
Parameters
Type Name Description
Int32 value
Returns
Type Description
Double
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getProbability(Int32, Int32)

Declaration
public double getProbability(int start, int end)
Parameters
Type Name Description
Int32 start
Int32 end
Returns
Type Description
Double
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getProbDistribution()

Declaration
public double[] getProbDistribution()
Returns
Type Description
Double[]
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getSum()

Declaration
public double getSum()
Returns
Type Description
Double
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getSum(Double[])

Declaration
public static double getSum(double[] values)
Parameters
Type Name Description
Double[] values
Returns
Type Description
Double
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getTotalIC()

Declaration
public double getTotalIC()
Returns
Type Description
Double
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getValueCount()

Declaration
public int getValueCount()
Returns
Type Description
Int32
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main(String[])

Declaration
public static void main(string[] args)
Parameters
Type Name Description
String[] args
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normalise(Double[])

Declaration
public static double[] normalise(double[] values)
Parameters
Type Name Description
Double[] values
Returns
Type Description
Double[]
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regulariseDistribution(Double[])

Declaration
public static double[] regulariseDistribution(double[] values)
Parameters
Type Name Description
Double[] values
Returns
Type Description
Double[]
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writeIC()

Declaration
public void writeIC()

Extension Methods