Package org.apache.commons.math.distribution

Examples of org.apache.commons.math.distribution.TDistribution.cumulativeProbability()

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        double t = Math.abs(t(m1, m2, v1, v2, n1, n2));
        double degreesOfFreedom = 0;
        degreesOfFreedom= df(v1, v2, n1, n2);
        TDistribution tDistribution =
            getDistributionFactory().createTDistribution(degreesOfFreedom);
        return 1.0 - tDistribution.cumulativeProbability(-t, t);
    }
   
    /**
     * Computes p-value for 2-sided, 2-sample t-test, under the assumption
     * of equal subpopulation variances.
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        double t = Math.abs(t(m1, m2, v1, v2, n1, n2));
        double degreesOfFreedom = 0;
            degreesOfFreedom = (double) (n1 + n2 - 2);
        TDistribution tDistribution =
            getDistributionFactory().createTDistribution(degreesOfFreedom);
        return 1.0 - tDistribution.cumulativeProbability(-t, t);
    }  
}
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                if (i == j) {
                    out[i][j] = 0d;
                } else {
                    double r = correlationMatrix.getEntry(i, j);
                    double t = Math.abs(r * Math.sqrt((nObs - 2)/(1 - r * r)));
                    out[i][j] = 2 * (1 - tDistribution.cumulativeProbability(t));
                }
            }
        }
        return new BlockRealMatrix(out);
    }
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