Examples of SpearmansCorrelation

org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Spearman's rank correlation. This implementation performs a rank transformation on the input data and then computes {@link PearsonsCorrelation}on the ranked data.
By default, ranks are computed using {@link NaturalRanking} with defaultstrategies for handling NaNs and ties in the data (NaNs maximal, ties averaged). The ranking algorithm can be set using a constructor argument. @since 2.0

Examples of org.apache.commons.math3.stat.correlation.SpearmansCorrelation

      x[index] = resultPair[0];
      y[index] = resultPair[1];
      index++;
    }
    double mse = meanSquareError(x, y);
    double spearmans = new SpearmansCorrelation().correlation(x, y);
    double pearsons = new PearsonsCorrelation().correlation(x, y);
    double cosine = cosine(x, y);
    mse = round(mse);
    spearmans = round(spearmans);
    pearsons = round(pearsons);

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