Documentation of 'pl.edu.icm.jlargearrays.LargeArrayStatistics' Java class
LargeArrayStatistics
pl.edu.icm.jlargearrays

Class LargeArrayStatistics



  • public class LargeArrayStatistics
    extends java.lang.Object
    Statistical operations on LargeArrays.
    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method and Description
      static double avg(LargeArray a)
      Mean value of a LargeArray.
      static double avgKahan(LargeArray a)
      Mean value of a LargeArray computed using Kahan algorithm.
      static double max(LargeArray a)
      Maximum value of a LargeArray.
      static double min(LargeArray a)
      Minimum value of a LargeArray.
      static double std(LargeArray a)
      Standard deviation value of a LargeArray.
      static double stdKahan(LargeArray a)
      Standard deviation value of a LargeArray computed using Kahan algorithm.
      static double sum(LargeArray a)
      Sum of all elements in a LargeArray.
      static double sumKahan(LargeArray a)
      Sum of all elements in a LargeArray computed using Kahan algorithm.
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Method Detail

      • min

        public static double min(LargeArray a)
        Minimum value of a LargeArray.

        Parameters:
        a - input array

        Returns:
        minimum value
      • max

        public static double max(LargeArray a)
        Maximum value of a LargeArray.

        Parameters:
        a - input array

        Returns:
        maximum value
      • sum

        public static double sum(LargeArray a)
        Sum of all elements in a LargeArray.

        Parameters:
        a - input array

        Returns:
        sum
      • sumKahan

        public static double sumKahan(LargeArray a)
        Sum of all elements in a LargeArray computed using Kahan algorithm.

        Parameters:
        a - input array

        Returns:
        sum
      • avg

        public static double avg(LargeArray a)
        Mean value of a LargeArray.

        Parameters:
        a - input array

        Returns:
        mean value
      • avgKahan

        public static double avgKahan(LargeArray a)
        Mean value of a LargeArray computed using Kahan algorithm.

        Parameters:
        a - input array

        Returns:
        mean value
      • std

        public static double std(LargeArray a)
        Standard deviation value of a LargeArray.

        Parameters:
        a - input array

        Returns:
        standard deviation value
      • stdKahan

        public static double stdKahan(LargeArray a)
        Standard deviation value of a LargeArray computed using Kahan algorithm.

        Parameters:
        a - input array

        Returns:
        standard deviation value

DataMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.