org.apache.commons.math3.stat.ranking
Class NaturalRanking

java.lang.Object
  extended by org.apache.commons.math3.stat.ranking.NaturalRanking
All Implemented Interfaces:
RankingAlgorithm

public class NaturalRanking
extends Object
implements RankingAlgorithm

Ranking based on the natural ordering on doubles.

NaNs are treated according to the configured NaNStrategy and ties are handled using the selected TiesStrategy. Configuration settings are supplied in optional constructor arguments. Defaults are NaNStrategy.FAILED and TiesStrategy.AVERAGE, respectively. When using TiesStrategy.RANDOM, a RandomGenerator may be supplied as a constructor argument.

Examples:

Input data: (20, 17, 30, 42.3, 17, 50, Double.NaN, Double.NEGATIVE_INFINITY, 17)
NaNStrategyTiesStrategy rank(data)
default (NaNs maximal) default (ties averaged) (5, 3, 6, 7, 3, 8, 9, 1, 3)
default (NaNs maximal) MINIMUM (5, 2, 6, 7, 2, 8, 9, 1, 2)
MINIMAL default (ties averaged) (6, 4, 7, 8, 4, 9, 1.5, 1.5, 4)
REMOVED SEQUENTIAL (5, 2, 6, 7, 3, 8, 1, 4)
MINIMAL MAXIMUM (6, 5, 7, 8, 5, 9, 2, 2, 5)

Since:
2.0
Version:
$Id: NaturalRanking.java 1454897 2013-03-10 19:02:54Z luc $

Field Summary
static NaNStrategy DEFAULT_NAN_STRATEGY
          default NaN strategy
static TiesStrategy DEFAULT_TIES_STRATEGY
          default ties strategy
 
Constructor Summary
NaturalRanking()
          Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(NaNStrategy nanStrategy)
          Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy nanStrategy, RandomGenerator randomGenerator)
          Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
NaturalRanking(NaNStrategy nanStrategy, TiesStrategy tiesStrategy)
          Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(RandomGenerator randomGenerator)
          Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
NaturalRanking(TiesStrategy tiesStrategy)
          Create a NaturalRanking with the given TiesStrategy.
 
Method Summary
 NaNStrategy getNanStrategy()
          Return the NaNStrategy
 TiesStrategy getTiesStrategy()
          Return the TiesStrategy
 double[] rank(double[] data)
          Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

DEFAULT_NAN_STRATEGY

public static final NaNStrategy DEFAULT_NAN_STRATEGY
default NaN strategy


DEFAULT_TIES_STRATEGY

public static final TiesStrategy DEFAULT_TIES_STRATEGY
default ties strategy

Constructor Detail

NaturalRanking

public NaturalRanking()
Create a NaturalRanking with default strategies for handling ties and NaNs.


NaturalRanking

public NaturalRanking(TiesStrategy tiesStrategy)
Create a NaturalRanking with the given TiesStrategy.

Parameters:
tiesStrategy - the TiesStrategy to use

NaturalRanking

public NaturalRanking(NaNStrategy nanStrategy)
Create a NaturalRanking with the given NaNStrategy.

Parameters:
nanStrategy - the NaNStrategy to use

NaturalRanking

public NaturalRanking(NaNStrategy nanStrategy,
                      TiesStrategy tiesStrategy)
Create a NaturalRanking with the given NaNStrategy and TiesStrategy.

Parameters:
nanStrategy - NaNStrategy to use
tiesStrategy - TiesStrategy to use

NaturalRanking

public NaturalRanking(RandomGenerator randomGenerator)
Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.

Parameters:
randomGenerator - source of random data

NaturalRanking

public NaturalRanking(NaNStrategy nanStrategy,
                      RandomGenerator randomGenerator)
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.

Parameters:
nanStrategy - NaNStrategy to use
randomGenerator - source of random data
Method Detail

getNanStrategy

public NaNStrategy getNanStrategy()
Return the NaNStrategy

Returns:
returns the NaNStrategy

getTiesStrategy

public TiesStrategy getTiesStrategy()
Return the TiesStrategy

Returns:
the TiesStrategy

rank

public double[] rank(double[] data)
Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.

Specified by:
rank in interface RankingAlgorithm
Parameters:
data - array to be ranked
Returns:
array of ranks
Throws:
NotANumberException - if the selected NaNStrategy is FAILED and a Double.NaN is encountered in the input data


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