Accord.Statistics.Distributions.Univariate.KolmogorovSmirnovDistribution.DistributionFunction C# (CSharp) Method

        public override double DistributionFunction(double x)
        {
            return CumulativeFunction(NumberOfSamples, x);
        }

        public void ConstructorTest()
        {
            var ks = new KolmogorovSmirnovDistribution(samples: 42);

            double mean = ks.Mean;     // 0.13404812830261556
            double median = ks.Median;   // 0.12393613519421857
            double var = ks.Variance; // 0.019154717445778062

            double cdf = ks.DistributionFunction(x: 0.27); // 0.99659863602996079

            double ccdf = ks.ComplementaryDistributionFunction(x: 0.27); // 0.0034013639700392062
            double icdf = ks.InverseDistributionFunction(p: cdf); // 0.26999997446092017

            double chf = ks.CumulativeHazardFunction(x: 0.27); // 5.6835787601476619

            string str = ks.ToString(); // "KS(x; n = 42)"

            Assert.AreEqual(0.13404812830261556, mean);
            Assert.AreEqual(0.12393613519421857, median, 1e-6);
            Assert.AreEqual(0.019154717445778062, var);
            Assert.AreEqual(5.6835787601476619, chf);
            Assert.AreEqual(0.99659863602996079, cdf);
            Assert.AreEqual(0.0034013639700392062, ccdf);
            Assert.AreEqual(0.27, icdf, 1e-6);
            Assert.AreEqual("KS(x; n = 42)", str);
        }