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    Class Statistics

    consists of a set of static methods to do elementary statistics NOTE: Much of stats to do with a normal distribution is in the NormDist CLASS.

    Inheritance
    Object
    Statistics
    Inherited Members
    Object.Equals(Object)
    Object.Equals(Object, Object)
    Object.GetHashCode()
    Object.GetType()
    Object.MemberwiseClone()
    Object.ReferenceEquals(Object, Object)
    Object.ToString()
    Namespace: TowseyLibrary
    Assembly: TowseyLibrary.dll
    Syntax
    public class Statistics

    Methods

    | Improve this Doc View Source

    AnalyzeClustersOfHits(Int32[], Int32, Double, Int32, out Double[], out Double, out Double)

    Analyzes an array of events or hits, represented by a binary of matrix. Assumes a Poisson distribution Returns an array of Z-scores indicating the probability at any time or frame that the number of hits occuring in the window centered on that point could have occured by chance.

    Declaration
    public static void AnalyzeClustersOfHits(int[] hits, int window, double thresholdZ, int thresholdCount, out double[] zScores, out double expectedHits, out double sd)
    Parameters
    Type Name Description
    Int32[] hits
    Int32 window
    Double thresholdZ
    Int32 thresholdCount
    Double[] zScores
    Double expectedHits
    Double sd
    | Improve this Doc View Source

    bayesBoundary(Int32, Double, Double, Int32, Double, Double)

    Declaration
    public static double[] bayesBoundary(int countC1, double meanC1, double sdC1, int countC2, double meanC2, double sdC2)
    Parameters
    Type Name Description
    Int32 countC1
    Double meanC1
    Double sdC1
    Int32 countC2
    Double meanC2
    Double sdC2
    Returns
    Type Description
    Double[]
    | Improve this Doc View Source

    CreateInverseProbabilityDistribution(Int32)

    Declaration
    public static double[] CreateInverseProbabilityDistribution(int length)
    Parameters
    Type Name Description
    Int32 length
    Returns
    Type Description
    Double[]
    | Improve this Doc View Source

    CreateQuadraticProbabilityDistribution(Int32)

    Declaration
    public static double[] CreateQuadraticProbabilityDistribution(int length)
    Parameters
    Type Name Description
    Int32 length
    Returns
    Type Description
    Double[]
    | Improve this Doc View Source

    GetMedian(Double[])

    Declaration
    public static double GetMedian(double[] v)
    Parameters
    Type Name Description
    Double[] v
    Returns
    Type Description
    Double
    | Improve this Doc View Source

    GetNthPercentileBin(Int32[], Int32)

    Declaration
    public static int GetNthPercentileBin(int[] distribution, int percentile)
    Parameters
    Type Name Description
    Int32[] distribution
    Int32 percentile
    Returns
    Type Description
    Int32
    | Improve this Doc View Source

    GetPercentileValue(Double[], Int32)

    NOTE: The sort routine sorts in descending order. Therefore the percentile value has to be reversed.

    Declaration
    public static double GetPercentileValue(double[] v, int percentile)
    Parameters
    Type Name Description
    Double[] v
    Int32 percentile
    Returns
    Type Description
    Double
    | Improve this Doc View Source

    quadraticRoots(Double, Double, Double)

    Declaration
    public static double[] quadraticRoots(double A, double B, double C)
    Parameters
    Type Name Description
    Double A
    Double B
    Double C
    Returns
    Type Description
    Double[]
    | Improve this Doc View Source

    RandomSamplingUsingProbabilityDistribution(Int32, Int32, Int32)

    Declaration
    public static Tuple<int[], int[]> RandomSamplingUsingProbabilityDistribution(int distributionlength, int sampleCount, int seed)
    Parameters
    Type Name Description
    Int32 distributionlength
    Int32 sampleCount
    Int32 seed
    Returns
    Type Description
    Tuple<Int32[], Int32[]>
    | Improve this Doc View Source

    TestGetNthPercentileBin()

    This method is a test for ensuring correct bin ID is chosen for some degenerate cases.

    Declaration
    public static void TestGetNthPercentileBin()
    | Improve this Doc View Source

    tStatistic(Double, Double, Int32, Double, Double, Int32)

    Declaration
    public static double tStatistic(double m1, double sd1, int count1, double m2, double sd2, int count2)
    Parameters
    Type Name Description
    Double m1
    Double sd1
    Int32 count1
    Double m2
    Double sd2
    Int32 count2
    Returns
    Type Description
    Double
    | Improve this Doc View Source

    tStatisticAlpha(Double, Int32)

    Declaration
    public static double tStatisticAlpha(double t, int df)
    Parameters
    Type Name Description
    Double t
    Int32 df
    Returns
    Type Description
    Double
    | Improve this Doc View Source

    tStatisticAndSignificance(Double, Double, Int32, Double, Double, Int32)

    Declaration
    public static string tStatisticAndSignificance(double m1, double sd1, int count1, double m2, double sd2, int count2)
    Parameters
    Type Name Description
    Double m1
    Double sd1
    Int32 count1
    Double m2
    Double sd2
    Int32 count2
    Returns
    Type Description
    String

    Extension Methods

    ObjectExtensions.NotNull(Object)
    ObjectExtensions.AsArray<T>(T)
    ObjectExtensions.AsList<T>(T)
    ObjectExtensions.Wrap<T>(T)
    SystemExtensions.BinarySerialize(Object)
    ConfigFileExtensions.NotNull(Object, FileInfo, String, String)
    ConfigFileExtensions.ValidateNotNull(Object, String, String)
    ConfigFileExtensions.ValidateLessThan<T>(Object, Nullable<T>, String, Nullable<T>, String, String)
    ExtensionsXml.SerializeObject<T>(T)
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    In This Article
    • Methods
      • AnalyzeClustersOfHits(Int32[], Int32, Double, Int32, out Double[], out Double, out Double)
      • bayesBoundary(Int32, Double, Double, Int32, Double, Double)
      • CreateInverseProbabilityDistribution(Int32)
      • CreateQuadraticProbabilityDistribution(Int32)
      • GetMedian(Double[])
      • GetNthPercentileBin(Int32[], Int32)
      • GetPercentileValue(Double[], Int32)
      • quadraticRoots(Double, Double, Double)
      • RandomSamplingUsingProbabilityDistribution(Int32, Int32, Int32)
      • TestGetNthPercentileBin()
      • tStatistic(Double, Double, Int32, Double, Double, Int32)
      • tStatisticAlpha(Double, Int32)
      • tStatisticAndSignificance(Double, Double, Int32, Double, Double, Int32)
    • Extension Methods
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