org.djutils.means

Class AbstractMean<MT,V extends Number,W extends Number>

java.lang.Object

org.djutils.means.AbstractMean<MT,V,W>

Type Parameters:

MT - mean type

V - value type

W - weight type

Direct Known Subclasses:

ArithmeticMean, GeometricMean, HarmonicMean

public abstract class AbstractMean<MT,V extends Number,W extends Number>
extends Object

Methods and fields common to all implementations of Mean. Mean implements various kinds of mean. For an excellent discussion on this subject read On Average, You’re Using the Wrong Average: Geometric & Harmonic Means in Data Analysis

Copyright (c) 2013-2019 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See OpenTrafficSim License.

Version:

$Revision$, $LastChangedDate$, by $Author$, initial version Oct 26, 2018

Author:

Alexander Verbraeck, Peter Knoppers, Wouter Schakel

Constructor Summary

Constructors

Constructor and Description
AbstractMean() Constructor.

Method Summary

Modifier and Type	Method and Description
<S> AbstractMean<MT,V,W>	add(Collection<S> collection, Function<S,V> values, Function<S,W> weights) Adds each value (obtained by calling the values function on each object in a Collection) with a weight (obtained by calling the weights function on the same object from the Collection).
AbstractMean<MT,V,W>	add(Collection<V> collection, Function<V,W> weights) Adds each value with a weight obtained by calling the provided weights function.
AbstractMean<MT,V,W>	add(Iterable<V> values) Add values with weight 1.
AbstractMean<MT,V,W>	add(Iterable<V> values, Iterable<W> weights) Adds weighted values.
AbstractMean<MT,V,W>	add(Map<V,W> map) Adds each key value from a map weighted with the mapped to value.
AbstractMean<MT,V,W>	add(V value) Add a value with weight 1.
AbstractMean<MT,V,W>	add(V[] values) Add values with weight 1.
AbstractMean<MT,V,W>	add(V[] values, W[] weights) Adds weighted values.
AbstractMean<MT,V,W>	add(V value, W weight) Adds a value with weight.
protected abstract AbstractMean<MT,V,W>	addImpl(V value, Number weight) Adds a value with weight.
abstract double	getMean() Returns the weighted mean of accumulated data.
double	getSum() Returns the weighted sum of available data.
double	getSumOfWeights() Returns the sum of the weights.
(package private) void	increment(double value, double weight) Accumulate some data.

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractMean

public AbstractMean()

Constructor.

Method Detail

getMean

public abstract double getMean()

Returns the weighted mean of accumulated data.

Returns:

double; weighted mean of accumulated data

increment

final void increment(double value,
                     double weight)

Accumulate some data.

Parameters:

value - double; the value to add to the weightedSumOfValues

weight - double; the weight to assign to the value

getSum

public final double getSum()

Returns the weighted sum of available data. Meaning varies per type of mean.

Returns:

double; weighted sum of accumulated data

getSumOfWeights

public final double getSumOfWeights()

Returns the sum of the weights.

Returns:

double; sum of the weights

add

public final AbstractMean<MT,V,W> add(V value,
                                      W weight)

Adds a value with weight.

Parameters:

value - V; the value

weight - W; the weight

Returns:

this AbstractMean<MT, V, W>; for method chaining

addImpl

protected abstract AbstractMean<MT,V,W> addImpl(V value,
                                                Number weight)

Adds a value with weight.

Parameters:

value - V; the value

weight - Number; the weight

Returns:

this AbstractMean<MT, V, W>; for method chaining

add

public final AbstractMean<MT,V,W> add(V value)

Add a value with weight 1.

Parameters:

value - V; the value

Returns:

this AbstractMean<MT, V, W>; for method chaining

add

public final AbstractMean<MT,V,W> add(Iterable<V> values,
                                      Iterable<W> weights)
                               throws IllegalArgumentException

Adds weighted values. Note that iteration order is pivotal in correct operations. This method should not be used with instances of HashMap or HashSet.

Parameters:

values - Iterable<V>; values

weights - Iterable<W>; weights

Returns:

this AbstractMean<MT, V, W>; for method chaining

Throws:

IllegalArgumentException - if the number of values is not equal to the number of weights

add

public final AbstractMean<MT,V,W> add(V[] values,
                                      W[] weights)
                               throws IllegalArgumentException

Adds weighted values.

Parameters:

values - V[]; values

weights - W[]; weights

Returns:

this AbstractMean<MT, V, W>; for method chaining

Throws:

IllegalArgumentException - if the number of values is not equal to the number of weights

add

public final AbstractMean<MT,V,W> add(Map<V,W> map)

Adds each key value from a map weighted with the mapped to value.

Parameters:

map - Map<V, W>; map

Returns:

this AbstractMean<MT, V, W>; for method chaining

add

public final AbstractMean<MT,V,W> add(Collection<V> collection,
                                      Function<V,W> weights)

Adds each value with a weight obtained by calling the provided weights function.

Parameters:

collection - Collection<V>; values

weights - Function<V, W>; weights

Returns:

this AbstractMean<MT, V, W>; for method chaining

add

public final <S> AbstractMean<MT,V,W> add(Collection<S> collection,
                                          Function<S,V> values,
                                          Function<S,W> weights)

Adds each value (obtained by calling the values function on each object in a Collection) with a weight (obtained by calling the weights function on the same object from the Collection).

Type Parameters:

S - type of source object

Parameters:

collection - Collection<V>; collection of source objects

values - Function<V, W>; values

weights - Function<V, W>; weights

Returns:

this AbstractMean<MT, V, W>; for method chaining

add

public final AbstractMean<MT,V,W> add(Iterable<V> values)

Add values with weight 1.

Parameters:

values - V[]; the values to add

Returns:

this AbstractMean<MT, V, W>; for method chaining

add

public final AbstractMean<MT,V,W> add(V[] values)

Add values with weight 1.

Parameters:

values - V[]; the values to add

Returns:

this AbstractMean<MT, V, W>; for method chaining