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C# Normal.ToArray方法代码示例

本文整理汇总了C#中MathNet.Numerics.Distributions.Normal.ToArray方法的典型用法代码示例。如果您正苦于以下问题:C# Normal.ToArray方法的具体用法?C# Normal.ToArray怎么用?C# Normal.ToArray使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在MathNet.Numerics.Distributions.Normal的用法示例。


在下文中一共展示了Normal.ToArray方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: NormalityTestAlgorithmTest

        public void NormalityTestAlgorithmTest()
        {
            int sampleSize = 100;
            int numberOfMonteCarloTests = 5;
            double result = 0;
            NormalityTest.NormalityTestFunc normalityTestFunc = NormalityTest.JaqueBeraTest;

            // normal distribution
            Console.WriteLine("normal var");
            for (int i = 0; i < numberOfMonteCarloTests; i++)
            {
                var distribution = new Normal(50, 1);
                distribution.RandomSource = new Random(DateTime.Now.Millisecond * i);
                var normalSamples = distribution.Samples().Take(sampleSize);

                double[] reallIsNormalSamples = normalSamples.ToArray();

                result = normalityTestFunc(reallIsNormalSamples);
                Console.WriteLine("reallIsNormalSamples_" + i + ": " + result);
            }

            Console.WriteLine();

            // random distribution.
            Console.WriteLine("rand var");
            Random rnd = new Random();
            double[] randomArray = new double[sampleSize];
            for (int i = 0; i < numberOfMonteCarloTests; i++)
            {
                for (int j = 0; j < sampleSize; j++)
                {
                    randomArray[j] = rnd.Next(1, 100);
                }

                result = normalityTestFunc(randomArray);
                Console.WriteLine("randomArray_" + i + ": " + result);
            }

            Console.WriteLine();

            // Uniform distribution
            Console.WriteLine("rand var");
            var uniformSamples = new Normal(100, 0).Samples().Take(sampleSize);

            double[] uniformSamplesRandomVar = uniformSamples.ToArray();

            result = normalityTestFunc(uniformSamplesRandomVar);
            Console.WriteLine("uniformSamples: " + result);
        }
开发者ID:PNNL-Comp-Mass-Spec,项目名称:IMS-Informed-Library,代码行数:49,代码来源:InternalTests.cs


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