Class Weighted_MeanArrayFunction

java.lang.Object
microsim.statistics.functions.AbstractFunction
microsim.statistics.weighted.functions.AbstractWeightedArrayFunction
microsim.statistics.weighted.functions.Weighted_MeanArrayFunction
All Implemented Interfaces:
EventListener, IDoubleSource, IUpdatableSource
@Deprecated(forRemoval=true) public class Weighted_MeanArrayFunction extends AbstractWeightedArrayFunction implements IDoubleSource
Deprecated, for removal: This API element is subject to removal in a future version.
use WeightedStats instead
This class computes the (weighted) average (mean) value of an array of values taken from a data source, weighted by corresponding weights: weighted mean = sum (values * weights) / sum (weights) Note that the array of weights must have the same length as the array of values, otherwise an exception will be thrown. The mean function return always double values, so it implements only the IDoubleSource interface.

Title: JAS-mine

Description: Java Agent-based Simulation library. Modelling in a Networked Environment.

Copyright (C) 2017 Michele Sonnessa and Ross Richardson

This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
Author:
Michele Sonnessa and Ross Richardson

  • Field Details

    • weightedMean

      protected double weightedMean
      Deprecated, for removal: This API element is subject to removal in a future version.

  • Constructor Details

    • Weighted_MeanArrayFunction

      public Weighted_MeanArrayFunction(IWeightedFloatArraySource source)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Create a mean function on a float array source.
      Parameters:
      source - The data source.

    • Weighted_MeanArrayFunction

      public Weighted_MeanArrayFunction(IWeightedIntArraySource source)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Create a mean function on an integer array source.
      Parameters:
      source - The data source.

    • Weighted_MeanArrayFunction

      public Weighted_MeanArrayFunction(IWeightedLongArraySource source)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Create a mean function on a long array source.
      Parameters:
      source - The data source.

    • Weighted_MeanArrayFunction

      public Weighted_MeanArrayFunction(IWeightedDoubleArraySource source)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Create a mean function on a (weighted) double array source.
      Parameters:
      source - The weighted data source.

  • Method Details

    • apply

      public void apply(double[] data, double[] weights)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Description copied from class: AbstractWeightedArrayFunction
      Apply the function on a the given array of double values.
      Overrides:
      apply in class AbstractWeightedArrayFunction
      Parameters:
      data - A source array of values.
      weights - An array of weights.

    • apply

      public void apply(float[] data, double[] weights)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Description copied from class: AbstractWeightedArrayFunction
      Apply the function on a the given array of float values.
      Overrides:
      apply in class AbstractWeightedArrayFunction
      Parameters:
      data - A source array of values.
      weights - An array of weights.

    • apply

      public void apply(int[] data, double[] weights)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Description copied from class: AbstractWeightedArrayFunction
      Apply the function on a the given array of integer values.
      Overrides:
      apply in class AbstractWeightedArrayFunction
      Parameters:
      data - A source array of values.
      weights - An array of weights.

    • apply

      public void apply(long[] data, double[] weights)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Description copied from class: AbstractWeightedArrayFunction
      Apply the function on a the given array of long values.
      Overrides:
      apply in class AbstractWeightedArrayFunction
      Parameters:
      data - A source array of values.
      weights - An array of weights.

    • getDoubleValue

      public double getDoubleValue(Enum<?> variableID)
      Deprecated, for removal: This API element is subject to removal in a future version.
      Description copied from interface: IDoubleSource
      Return the double value corresponding to the given variableID
      Specified by:
      getDoubleValue in interface IDoubleSource
      Parameters:
      variableID - A unique identifier for a variable.
      Returns:
      The current double value of the required variable.