Package org.jzy3d.maths

Class Statistics

java.lang.Object
org.jzy3d.maths.Statistics
public class Statistics extends Object

  • Constructor Summary

    Constructors
    Constructor
    Description
    Statistics()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    static double
    mad(double[] values)
    Computes the mad statistic, that is the median of all distances to the median of input values.
    static double
    max(double[] values)
    Computes the maximum value of an array of doubles.
    static float
    max(float[] values)
     
    static float
    max(float[][] values)
     
    static int
    max(int[][] values)
     
    static float
    max(List<Float> values)
     
    static int
    maxId(int[] values)
     
    static double
    mean(double[] values)
    Computes the mean value of an array of doubles.
    static float
    mean(float[] values)
     
    static double
    median(double[] values, boolean interpolated)
    Computes the median value of an array of doubles.
    static double
    min(double[] values)
    Computes the minimum value of an array of doubles.
    static float
    min(float[] values)
     
    static float
    min(float[][] values)
     
    static int
    min(int[][] values)
     
    static float
    min(List<Float> values)
     
    static int
    minId(double[] values)
    Returns the id where the minimal value stands.
    static int
    minId(float[] values)
     
    static int
    minId(int[] values)
     
    static Range
    minmax(float[] values)
     
    static double[]
    quantile(double[] values, double[] levels)
    A convenient shortcut for: quantile(values, levels, true);
    static double[]
    quantile(double[] values, double[] levels, boolean interpolated)
    Computes the quantiles of an array of doubles.
    static double
    std(double[] values)
    Computes the standard deviation of an array of doubles.
    static double
    variance(double[] values)
    Compute the variance of an array of doubles.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • Statistics

      public Statistics()

  • Method Details

    • mean

      public static double mean(double[] values)
      Computes the mean value of an array of doubles. NaN values are ignored during the computation.
      Parameters:
      values -
      Returns:
      the mean value

    • mean

      public static float mean(float[] values)

    • min

      public static float min(List<Float> values)

    • min

      public static double min(double[] values)
      Computes the minimum value of an array of doubles. NaN values are ignored during the computation.
      Parameters:
      values -
      Returns:
      the minimum value

    • min

      public static float min(float[] values)

    • min

      public static float min(float[][] values)

    • min

      public static int min(int[][] values)

    • minId

      public static int minId(double[] values)
      Returns the id where the minimal value stands.

    • minId

      public static int minId(float[] values)

    • minId

      public static int minId(int[] values)

    • max

      public static float max(List<Float> values)

    • max

      public static double max(double[] values)
      Computes the maximum value of an array of doubles. NaN values are ignored during the computation.
      Parameters:
      values -
      Returns:
      the maximum value

    • max

      public static float max(float[] values)

    • max

      public static float max(float[][] values)

    • max

      public static int max(int[][] values)

    • maxId

      public static int maxId(int[] values)

    • minmax

      public static Range minmax(float[] values)

    • mad

      public static double mad(double[] values)
      Computes the mad statistic, that is the median of all distances to the median of input values. If the input array is empty, the output value is Double.NaN
      Parameters:
      values -
      Returns:

    • std

      public static double std(double[] values)
      Computes the standard deviation of an array of doubles. NaN values are ignored during the computation. If the input array is empty, the output value is Double.NaN
      Parameters:
      values -
      Returns:
      the standard deviation

    • variance

      public static double variance(double[] values)
      Compute the variance of an array of doubles. variance(double[]) normalizes the output by N-1 if N>1, where N is the sample size. This is an unbiased estimator of the variance of the population For N=1, the output is 0.
      Parameters:
      values -
      Returns:

    • quantile

      public static double[] quantile(double[] values, double[] levels, boolean interpolated)
      Computes the quantiles of an array of doubles. This method assumes the array has at least one element. NaN values are ignored during the computation.
      Parameters:
      values -
      levels - a list of levels that must belong to [0;100]
      interpolated - computes an interpolation of quantile when required quantile is not an exact vector id.
      Returns:
      the quantiles
      Throws:
      an - IllegalArgumentException if a level is out of the [0;100] bounds.

    • quantile

      public static double[] quantile(double[] values, double[] levels)
      A convenient shortcut for: quantile(values, levels, true);
      Parameters:
      values -
      levels -
      Returns:

    • median

      public static double median(double[] values, boolean interpolated)
      Computes the median value of an array of doubles.
      Parameters:
      values -
      interpolated -
      Returns:
      the mean value