Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use Variance method of Microsoft.Coyote.Benchmarking.MathHelpers class

Best Coyote code snippet using Microsoft.Coyote.Benchmarking.MathHelpers.Variance

MathHelpers.cs

Source:MathHelpers.cs

...122        }123        /// <summary>124        /// Return the variance, sum of the difference between each value and the mean, squared.125        /// </summary>126        public static double Variance(IEnumerable<double> values)127        {128            double mean = Mean(values);129            double variance = 0;130            foreach (double d in values)131            {132                double diff = d - mean;133                variance += diff * diff;134            }135            return variance;136        }137        /// <summary>138        /// Convert the list of doubles into a list of DataPoints.139        /// </summary>140        public static List<DataPoint> ToDataPoints(IEnumerable<double> values)141        {142            int index = 0;143            return new List<DataPoint>(from v in values select new DataPoint(index++, v));144        }145        /// <summary>146        /// Return the covariance in the given x,y values.147        /// The sum of the difference between x and its mean times the difference between y and its mean.148        /// </summary>149        public static double Covariance(IEnumerable<DataPoint> pts)150        {151            double xsum = 0;152            double ysum = 0;153            double count = 0;154            foreach (var d in pts)155            {156                xsum += d.X;157                ysum += d.Y;158                count++;159            }160            if (count is 0)161            {162                return 0;163            }164            double xMean = xsum / count;165            double yMean = ysum / count;166            double covariance = 0;167            foreach (var d in pts)168            {169                covariance += (d.X - xMean) * (d.Y - yMean);170            }171            return covariance;172        }173        /// <summary>174        /// Compute the trend line through the given points, and return the line in the form:175        /// y = a + b.x.176        /// </summary>177        /// <param name="pts">The data to analyze.</param>178        public static Line LinearRegression(IEnumerable<DataPoint> pts)179        {180            double xMean = Mean(from p in pts select p.X);181            double yMean = Mean(from p in pts select p.Y);182            double xVariance = Variance(from p in pts select p.X);183            double yVariance = Variance(from p in pts select p.Y);184            double covariance = Covariance(pts);185            double a = 0;186            double b = 0;187            if (xVariance is 0)188            {189                a = yMean;190                b = 1;191            }192            else193            {194                b = covariance / xVariance;195                a = yMean - (b * xMean);196            }197            return new Line(a, b);198        }199    }200}...

Variance

Using AI Code Generation

1using System;2using System.Collections.Generic;3using System.Linq;4using System.Text;5using System.Threading.Tasks;6using Microsoft.Coyote.Benchmarking;7{8    {9        static void Main(string[] args)10        {11            double[] x = new double[] { 1.0, 2.0, 3.0, 4.0, 5.0 };12            Console.WriteLine("Variance of x is: {0}", MathHelpers.Variance(x));13        }14    }15}

Variance

Using AI Code Generation

1var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);2Console.WriteLine(variance);3var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);4Console.WriteLine(variance);5var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);6Console.WriteLine(variance);7var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);8Console.WriteLine(variance);9var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);10Console.WriteLine(variance);11var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);12Console.WriteLine(variance);13var variance = MathHelpers.Variance(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);14Console.WriteLine(variance);15var variance = MathHelpers.Variance(1, 2, 3, 4, 5,

Variance

Using AI Code Generation

1using System;2using Microsoft.Coyote.Benchmarking;3{4    {5        static void Main(string[] args)6        {7            double[] list = { 2.0, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0 };8            double variance = MathHelpers.Variance(list);9            Console.WriteLine("Variance: {0}", variance);10        }11    }12}

Variance

Using AI Code Generation

1using System;2using System.Threading.Tasks;3using Microsoft.Coyote.Benchmarking;4{5    {6        private static void Main(string[] args)7        {8            var values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };9            var variance = MathHelpers.Variance(values);10            Console.WriteLine(variance);11        }12    }13}14using System;15using System.Threading.Tasks;16using Microsoft.Coyote.Benchmarking;17{18    {19        private static void Main(string[] args)20        {21            var values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };22            var standardDeviation = MathHelpers.StandardDeviation(values);23            Console.WriteLine(standardDeviation);24        }25    }26}27using System;28using System.Threading.Tasks;29using Microsoft.Coyote.Benchmarking;30{31    {32        private static void Main(string[] args)33        {34            var values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };35            var variance = MathHelpers.Variance(values);36            Console.WriteLine(variance);37        }38    }39}40using System;41using System.Threading.Tasks;42using Microsoft.Coyote.Benchmarking;43{44    {45        private static void Main(string[] args)46        {47            var values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };48            var standardDeviation = MathHelpers.StandardDeviation(values);49            Console.WriteLine(standardDeviation);50        }51    }52}

Variance

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2using System;3using System.Collections.Generic;4using System.Linq;5using System.Text;6using System.Threading.Tasks;7{8    {9        static void Main(string[] args)10        {11            double[] arr = { 1, 2, 3, 4, 5 };12            double variance = MathHelpers.Variance(arr);13            Console.WriteLine(variance);14        }15    }16}17using Microsoft.Coyote.Benchmarking;18using System;19using System.Collections.Generic;20using System.Linq;21using System.Text;22using System.Threading.Tasks;23{24    {25        static void Main(string[] args)26        {27            double[] arr = { 1, 2, 3, 4, 5 };28            double stdDev = MathHelpers.StandardDeviation(arr);29            Console.WriteLine(stdDev);30        }31    }32}33using Microsoft.Coyote.Benchmarking;34using System;35using System.Collections.Generic;36using System.Linq;37using System.Text;38using System.Threading.Tasks;39{40    {41        static void Main(string[] args)42        {43            double[] arr = { 1, 2, 3, 4, 5 };44            double mean = MathHelpers.Mean(arr);45            Console.WriteLine(mean);46        }47    }48}49using Microsoft.Coyote.Benchmarking;50using System;51using System.Collections.Generic;52using System.Linq;53using System.Text;54using System.Threading.Tasks;55{56    {57        static void Main(string[] args)58        {59            double[] arr = { 1, 2, 3, 4, 5 };60            double median = MathHelpers.Median(arr);61            Console.WriteLine(median);62        }63    }64}

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.