Examples of org.apache.commons.math.stat.correlation.PearsonsCorrelation

Package org.apache.commons.math.stat.correlation

Examples of org.apache.commons.math.stat.correlation.PearsonsCorrelation

org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
The constructors that take RealMatrix or double[][] arguments generate correlation matrices. The columns of the input matrices are assumed to represent variable values. Correlations are given by the formula
cor(X, Y) = Σ[(x_i - E(X))(y_i - E(Y))] / [(n - 1)s(X)s(Y)] where E(X) is the mean of X, E(Y) is the mean of the Y values and s(X), s(Y) are standard deviations. @version $Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $ @since 2.0

      }
      
      double[] concatExpArray = ArrayUtils.toPrimitive(concatExp.toArray(new Double[concatExp.size()])); 
      double[] concatGSArray = ArrayUtils.toPrimitive(concatGS.toArray(new Double[concatGS.size()]));


      PearsonsCorrelation pearson = new PearsonsCorrelation();
      Double correl = pearson.correlation(concatExpArray, concatGSArray);
      
      sb.append(correl.toString());
    }
    else if (metric == PearsonMean)
    {

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    }
    
    double[] expArray = ArrayUtils.toPrimitive(expScores.toArray(new Double[expScores.size()])); 
    double[] gsArray = ArrayUtils.toPrimitive(gsScores.toArray(new Double[gsScores.size()]));


    PearsonsCorrelation pearson = new PearsonsCorrelation();
    Double correl = pearson.correlation(expArray, gsArray);
    
    FileUtils.writeStringToFile(
        new File(OUTPUT_DIR + "/" + mode.toString().toLowerCase() + "/" + dataset.toString() + ".txt"),
        correl.toString());
  }

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      }
      
      double[] concatExpArray = ArrayUtils.toPrimitive(concatExp.toArray(new Double[concatExp.size()])); 
      double[] concatGSArray = ArrayUtils.toPrimitive(concatGS.toArray(new Double[concatGS.size()]));


      PearsonsCorrelation pearson = new PearsonsCorrelation();
      Double correl = pearson.correlation(concatExpArray, concatGSArray);
      
      sb.append(correl.toString());
    }
    else if (metric == PearsonMean)
    {

View Full Code Here

    }
    
    double[] expArray = ArrayUtils.toPrimitive(expScores.toArray(new Double[expScores.size()])); 
    double[] gsArray = ArrayUtils.toPrimitive(gsScores.toArray(new Double[gsScores.size()]));


    PearsonsCorrelation pearson = new PearsonsCorrelation();
    Double correl = pearson.correlation(expArray, gsArray);
    
    FileUtils.writeStringToFile(
        new File(OUTPUT_DIR + "/" + mode.toString().toLowerCase() + "/" + dataset.toString() + ".txt"),
        correl.toString());
  }

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Related Classes of org.apache.commons.math.stat.correlation.PearsonsCorrelation

org.apache.commons.math.distribution.TDistribution

org.apache.commons.math.distribution.TDistributionImpl

org.apache.commons.math.linear.BlockRealMatrix

org.apache.commons.math.linear.RealMatrix

org.apache.commons.math.stat.regression.SimpleRegression

org.apache.commons.math.exception.NullArgumentException

org.apache.commons.math.exception.DimensionMismatchException

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