Accord.Statistics.Distributions.Univariate.MannWhitneyDistribution.ToString C# (CSharp) Method

        public override string ToString(string format, IFormatProvider formatProvider)
        {
            return String.Format(formatProvider, "MannWhitney(u; n1 = {0}, n2 = {1})",
                Samples1.ToString(format, formatProvider), 
                Samples2.ToString(format, formatProvider));
        }
    }

        public void ConstructorTest()
        {
            double[] ranks = { 1, 2, 3, 4, 5 };

            var mannWhitney = new MannWhitneyDistribution(ranks, n1: 2, n2: 3);

            double mean = mannWhitney.Mean;     // 2.7870954605658511
            double median = mannWhitney.Median; // 1.5219615583481305
            double var = mannWhitney.Variance;  // 18.28163603621158

            double cdf = mannWhitney.DistributionFunction(x: 4); // 0.6
            double pdf = mannWhitney.ProbabilityDensityFunction(x: 4); // 0.2
            double lpdf = mannWhitney.LogProbabilityDensityFunction(x: 4); // -1.6094379124341005

            double ccdf = mannWhitney.ComplementaryDistributionFunction(x: 4); // 0.4
            double icdf = mannWhitney.InverseDistributionFunction(p: cdf); // 3.6666666666666661

            double hf = mannWhitney.HazardFunction(x: 4); // 0.5
            double chf = mannWhitney.CumulativeHazardFunction(x: 4); // 0.916290731874155

            string str = mannWhitney.ToString(); // MannWhitney(u; n1 = 2, n2 = 3)

            Assert.AreEqual(3.0, mean);
            Assert.AreEqual(3.0000006357828775, median);
            Assert.AreEqual(3.0, var);
            Assert.AreEqual(0.916290731874155, chf);
            Assert.AreEqual(0.6, cdf);
            Assert.AreEqual(0.2, pdf);
            Assert.AreEqual(-1.6094379124341005, lpdf);
            Assert.AreEqual(0.5, hf);
            Assert.AreEqual(0.4, ccdf);
            Assert.AreEqual(3.6666666666666661, icdf);
            Assert.AreEqual("MannWhitney(u; n1 = 2, n2 = 3)", str);
        }