Package org.apache.commons.math.stat.ranking

Examples of org.apache.commons.math.stat.ranking.NaturalRanking$IntDoublePair

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      ITuple T = (ITuple) dataValues.get(i);
      xvalues[i] = ((INumber) T.get(0)).toReal().doubleValue();
    }
   
    // Create a natural ranking: largest first.
    double rank[] = new NaturalRanking().rank(xvalues);
   
    for(int i = 0; i < rank.length; i++){
      rank[i] = rank.length - rank[i] + 1; // invert the ranking: smallest come now first.
      //System.err.println("rank[" + i + "] = " + rank[i]);
    }
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     *
     * @param dataMatrix matrix of data with columns representing
     * variables to correlate
     */
    public SpearmansCorrelation(final RealMatrix dataMatrix) {
        this(dataMatrix, new NaturalRanking());
    }
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    /**
     * Create a SpearmansCorrelation without data.
     */
    public SpearmansCorrelation() {
        data = null;
        this.rankingAlgorithm = new NaturalRanking();
        rankCorrelation = null;
    }
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     *
     * @param dataMatrix matrix of data with columns representing
     * variables to correlate
     */
    public SpearmansCorrelation(final RealMatrix dataMatrix) {
        this(dataMatrix, new NaturalRanking());
    }
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    /**
     * Create a SpearmansCorrelation without data.
     */
    public SpearmansCorrelation() {
        data = null;
        this.rankingAlgorithm = new NaturalRanking();
        rankCorrelation = null;
    }
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     *
     * @param dataMatrix matrix of data with columns representing
     * variables to correlate
     */
    public SpearmansCorrelation(final RealMatrix dataMatrix) {
        this(dataMatrix, new NaturalRanking());
    }
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    /**
     * Create a SpearmansCorrelation without data.
     */
    public SpearmansCorrelation() {
        data = null;
        this.rankingAlgorithm = new NaturalRanking();
        rankCorrelation = null;
    }
View Full Code Here
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     *
     * @param dataMatrix matrix of data with columns representing
     * variables to correlate
     */
    public SpearmansCorrelation(final RealMatrix dataMatrix) {
        this(dataMatrix, new NaturalRanking());
    }
View Full Code Here
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    /**
     * Create a SpearmansCorrelation without data.
     */
    public SpearmansCorrelation() {
        data = null;
        this.rankingAlgorithm = new NaturalRanking();
        rankCorrelation = null;
    }
View Full Code Here
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Related Classes of org.apache.commons.math.stat.ranking.NaturalRanking$IntDoublePair

  • org.apache.commons.math.exception.MathInternalError
  • org.apache.commons.math.random.RandomDataImpl
  • org.apache.commons.math.stat.correlation.SpearmansCorrelation
  • org.rascalmpl.library.analysis.statistics.Inferences
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