Package org.hipparchus.stat.descriptive

Interface AggregatableStatistic<T>

Type Parameters:
T - the type of statistic
All Known Implementing Classes:
GeometricMean, Max, Mean, Min, Product, RandomPercentile, SecondMoment, StreamingStatistics, Sum, SumOfLogs, SumOfSquares, Variance
public interface AggregatableStatistic<T>
An interface for statistics that can aggregate results.

  • Method Summary

    Modifier and Type
    Method
    Description
    default void
    aggregate(Iterable<T> others)
    Aggregates the results from the provided instances into this instance.
    void
    aggregate(T other)
    Aggregates the provided instance into this instance.
    default void
    aggregate(T... others)
    Aggregates the results from the provided instances into this instance.

  • Method Details

    • aggregate

      void aggregate(T other) throws NullArgumentException
      Aggregates the provided instance into this instance.

      This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.

      Parameters:
      other - the instance to aggregate into this instance
      Throws:
      NullArgumentException - if the input is null

    • aggregate

      default void aggregate(T... others)
      Aggregates the results from the provided instances into this instance.

      This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.

      Parameters:
      others - the other instances to aggregate into this instance
      Throws:
      NullArgumentException - if either others or any instance is null

    • aggregate

      default void aggregate(Iterable<T> others)
      Aggregates the results from the provided instances into this instance.

      This method can be used to combine statistics computed over partitions or subsamples - i.e., the value of this instance after this operation should be the same as if a single statistic would have been applied over the combined dataset.

      Parameters:
      others - the other instances to aggregate into this instance
      Throws:
      NullArgumentException - if either others or any instance is null