[C#/COMMON/R.NET] R/NMATH 계산 시간 비교하기

■ R과 NMATH 계산 시간을 비교하는 방법을 보여준다.

▶ MainForm.cs


using System;
using System.Diagnostics;
using System.IO;
using System.Linq;
using System.Windows.Forms;

using RDotNet;

using CenterSpace.NMath.Core;
using CenterSpace.NMath.Stats;

namespace TestProject
{
    /// <summary>
    /// 메인 폼
    /// </summary>
    public partial class MainForm : Form
    {
        //////////////////////////////////////////////////////////////////////////////////////////////////// Field
        ////////////////////////////////////////////////////////////////////////////////////////// Private

        #region Field

        /// <summary>
        /// 소스 값 배열 1
        /// </summary>
        private double[] sourceValueArray1;

        /// <summary>
        /// 소스 값 배열 2
        /// </summary>
        private double[] sourceValueArray2;

        #endregion

        //////////////////////////////////////////////////////////////////////////////////////////////////// Constructor
        ////////////////////////////////////////////////////////////////////////////////////////// Public

        #region 생성자 - MainForm()

        /// <summary>
        /// 생성자
        /// </summary>
        public MainForm()
        {
            InitializeComponent();

            string pathValue    = Environment.GetEnvironmentVariable("Path");
            string rBinarayPath = @"C:\Program Files\R\R-3.4.1\bin\x64;C:\Program Files\R\R-3.4.1\bin\i386";

            Environment.SetEnvironmentVariable("Path", pathValue + Path.PathSeparator + rBinarayPath);

            this.runButton.Click += runButton_Click;
        }

        #endregion

        //////////////////////////////////////////////////////////////////////////////////////////////////// Method
        ////////////////////////////////////////////////////////////////////////////////////////// Private
        //////////////////////////////////////////////////////////////////////////////// Event

        #region 실행 버튼 클릭시 처리하기 - runButton_Click(sender, e)

        /// <summary>
        /// 실행 버튼 클릭시 처리하기
        /// </summary>
        /// <param name="sender">이벤트 발생자</param>
        /// <param name="e">이벤트 인자</param>
        private void runButton_Click(object sender, EventArgs e)
        {
            this.sourceValueArray1 = GetSourceValueArray(1000000);
            this.sourceValueArray2 = GetSourceValueArray(1000000);

            CacluateWithR();

            CalculateWithNMATH();
        }

        #endregion

        //////////////////////////////////////////////////////////////////////////////// Function

        #region 소스 값 배열 구하기 - GetSourceValueArray(count)

        /// <summary>
        /// 소스 값 배열 구하기
        /// </summary>
        /// <param name="count">카운트</param>
        /// <returns>소스 값 배열</returns>
        private double[] GetSourceValueArray(int count)
        {
            double[] valueArray = new double[count];

            Random random = new Random(DateTime.Now.Millisecond);

            for(int i = 0; i < count; i++)
            {
                valueArray[i] = random.NextDouble() * 100;
            }

            return valueArray;
        }

        #endregion
        #region 계산하기 (R) - CacluateWithR()

        /// <summary>
        /// 계산하기 (R)
        /// </summary>
        private void CacluateWithR()
        {
            Stopwatch stopWatch = new Stopwatch();

            using(REngine rEngine = REngine.CreateInstance("RDotNet"))
            {
                rEngine.Initialize();

                #region 데이터를 변환한다.

                stopWatch.Start();

              //NumericVector numericVector1 = rEngine.CreateNumericVector(this.sourceValueArray1);
              //NumericVector numericVector2 = rEngine.CreateNumericVector(this.sourceValueArray2);

                NumericVector numericVector1 = new NumericVector(rEngine, this.sourceValueArray1);
                NumericVector numericVector2 = new NumericVector(rEngine, this.sourceValueArray2);

                stopWatch.Stop();

                long dataConversionTime = stopWatch.ElapsedMilliseconds;

                #endregion

                rEngine.SetSymbol("group1", numericVector1);
                rEngine.SetSymbol("group2", numericVector2);

                #region 평균 값을 계산한다.

                stopWatch.Restart();

                double averageValue = rEngine.Evaluate("mean(group1)").AsNumeric().First();

                stopWatch.Stop();

                long averageValueTime = stopWatch.ElapsedMilliseconds;

                #endregion
                #region 중간 값을 계산한다.

                stopWatch.Restart();

                double medianValue = rEngine.Evaluate("median(group1)").AsNumeric().First();

                stopWatch.Stop();

                long medianValueTime = stopWatch.ElapsedMilliseconds;

                #endregion
                #region 표준 편차 값을 계산한다.

                stopWatch.Restart();

                double standardDeviationValue = rEngine.Evaluate("sd(group1)").AsNumeric().First();

                stopWatch.Stop();

                long standardDeviationValueTime = stopWatch.ElapsedMilliseconds;

                #endregion
                #region 상관 계수 값을 계산한다.

                stopWatch.Restart();

                double correlationValue = rEngine.Evaluate("cor(group1, group2)").AsNumeric().First();

                stopWatch.Stop();

                long correlationValueTime = stopWatch.ElapsedMilliseconds;

                #endregion
                #region ANOVA 값을 계산한다.

                stopWatch.Restart();

                GenericVector genericVector = rEngine.Evaluate("t.test(group1, group2)").AsList();

                double pValue = genericVector["p.value"].AsNumeric().First();

                stopWatch.Stop();

                long pValueTime = stopWatch.ElapsedMilliseconds;

                #endregion

                this.dataConversionTimeTextBox1.Text         = dataConversionTime.ToString();
                this.avergageValueTextBox1.Text              = averageValue.ToString();
                this.averageValueTimeTextBox1.Text           = averageValueTime.ToString();
                this.medianValueTextBox1.Text                = medianValue.ToString();
                this.medianValueTimeTextBox1.Text            = medianValueTime.ToString();
                this.standardDeviationValueTextBox1.Text     = standardDeviationValue.ToString();
                this.standardDeviationValueTimeTextBox1.Text = standardDeviationValueTime.ToString();
                this.correlationValueTextBox1.Text           = correlationValue.ToString();
                this.correlationValueTimeTextBox1.Text       = correlationValueTime.ToString();
                this.anovaValueTextBox1.Text                 = pValue.ToString();
                this.anovaValueTimeTextBox1.Text             = pValueTime.ToString();
            }
        }

        #endregion
        #region 계산하기 (NMATH) - CalculateWithNMATH()

        /// <summary>
        /// 계산하기 (NMATH)
        /// </summary>
        private void CalculateWithNMATH()
        {
            Stopwatch stopwatch = new Stopwatch();

            #region 데이터를 변환한다.

            stopwatch.Start();

            DoubleVector doubleVector1 = new DoubleVector(this.sourceValueArray1);
            DoubleVector doubleVector2 = new DoubleVector(this.sourceValueArray2);

            stopwatch.Stop();

            long dataConversionTime = stopwatch.ElapsedMilliseconds;

            #endregion
            #region 평균 값을 계산한다.

            stopwatch.Restart();

            double averageValue = NMathFunctions.Mean(doubleVector1);

            stopwatch.Stop();

            long averageValueTime = stopwatch.ElapsedMilliseconds;

            #endregion
            #region 중간 값을 계산한다.

            stopwatch.Restart();

            double medianValue = NMathFunctions.Median(doubleVector1);

            stopwatch.Stop();

            long medianValueTime = stopwatch.ElapsedMilliseconds;

            #endregion
            #region 표준 편차 값을 계산한다.

            stopwatch.Restart();

            double standardDeviationValue = StatsFunctions.StandardDeviation(doubleVector1);

            stopwatch.Stop();

            long standardDeviationValueTime = stopwatch.ElapsedMilliseconds;

            #endregion
            #region 상관 계수 값을 계산한다.

            stopwatch.Restart();

            double correlationValue = StatsFunctions.Correlation(doubleVector1, doubleVector2);

            stopwatch.Stop();

            long correlationValueTime = stopwatch.ElapsedMilliseconds;

            #endregion
            #region ANOVA 값을 계산한다.

            stopwatch.Restart();

            OneWayAnova oneWayAnova = new OneWayAnova();

            oneWayAnova.SetData(new DoubleVector[] { doubleVector1, doubleVector2 });

            double pValue = oneWayAnova.AnovaTable.FStatisticPValue;

            stopwatch.Stop();

            long pValueTime = stopwatch.ElapsedMilliseconds;

            #endregion

            this.dataConversionTimeTextBox2.Text         = dataConversionTime.ToString();
            this.averageValueTextBox2.Text               = averageValue.ToString();
            this.averageValueTimeTextBox2.Text           = averageValueTime.ToString();
            this.medianValueTextBox2.Text                = medianValue.ToString();
            this.medianValueTimeTextBox2.Text            = medianValueTime.ToString();
            this.standardDeviationValueTextBox2.Text     = standardDeviationValue.ToString();
            this.standardDeviationValueTimeTextBox2.Text = standardDeviationValueTime.ToString();
            this.correlationValueTextBox2.Text           = correlationValue.ToString();
            this.correlationValueTimeTextBox2.Text       = correlationValueTime.ToString();
            this.anovaValueTextBox.Text                  = pValue.ToString();
            this.anovaValueTimeTextBox.Text              = pValueTime.ToString();
        }

        #endregion
    }
}

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using System;

using System.Diagnostics;

using System.IO;

using System.Linq;

using System.Windows.Forms;

using RDotNet;

using CenterSpace.NMath.Core;

using CenterSpace.NMath.Stats;

namespace TestProject

{

/// <summary>

/// 메인 폼

/// </summary>

public partial class MainForm : Form

{

//////////////////////////////////////////////////////////////////////////////////////////////////// Field

////////////////////////////////////////////////////////////////////////////////////////// Private

#region Field

/// <summary>

/// 소스 값 배열 1

/// </summary>

private double[] sourceValueArray1;

/// <summary>

/// 소스 값 배열 2

/// </summary>

private double[] sourceValueArray2;

#endregion

//////////////////////////////////////////////////////////////////////////////////////////////////// Constructor

////////////////////////////////////////////////////////////////////////////////////////// Public

#region 생성자 - MainForm()

/// <summary>

/// 생성자

/// </summary>

public MainForm()

{

InitializeComponent();

string pathValue = Environment.GetEnvironmentVariable("Path");

string rBinarayPath = @"C:\Program Files\R\R-3.4.1\bin\x64;C:\Program Files\R\R-3.4.1\bin\i386";

Environment.SetEnvironmentVariable("Path", pathValue + Path.PathSeparator + rBinarayPath);

this.runButton.Click += runButton_Click;

}

#endregion

//////////////////////////////////////////////////////////////////////////////////////////////////// Method

////////////////////////////////////////////////////////////////////////////////////////// Private

//////////////////////////////////////////////////////////////////////////////// Event

#region 실행 버튼 클릭시 처리하기 - runButton_Click(sender, e)

/// <summary>

/// 실행 버튼 클릭시 처리하기

/// </summary>

/// <param name="sender">이벤트 발생자</param>

/// <param name="e">이벤트 인자</param>

private void runButton_Click(object sender, EventArgs e)

{

this.sourceValueArray1 = GetSourceValueArray(1000000);

this.sourceValueArray2 = GetSourceValueArray(1000000);

CacluateWithR();

CalculateWithNMATH();

}

#endregion

//////////////////////////////////////////////////////////////////////////////// Function

#region 소스 값 배열 구하기 - GetSourceValueArray(count)

/// <summary>

/// 소스 값 배열 구하기

/// </summary>

/// <param name="count">카운트</param>

/// <returns>소스 값 배열</returns>

private double[] GetSourceValueArray(int count)

{

double[] valueArray = new double[count];

Random random = new Random(DateTime.Now.Millisecond);

for(int i = 0; i < count; i++)

{

valueArray[i] = random.NextDouble() * 100;

}

return valueArray;

}

#endregion

#region 계산하기 (R) - CacluateWithR()

/// <summary>

/// 계산하기 (R)

/// </summary>

private void CacluateWithR()

{

Stopwatch stopWatch = new Stopwatch();

using(REngine rEngine = REngine.CreateInstance("RDotNet"))

{

rEngine.Initialize();

#region 데이터를 변환한다.

stopWatch.Start();

//NumericVector numericVector1 = rEngine.CreateNumericVector(this.sourceValueArray1);

//NumericVector numericVector2 = rEngine.CreateNumericVector(this.sourceValueArray2);

NumericVector numericVector1 = new NumericVector(rEngine, this.sourceValueArray1);

NumericVector numericVector2 = new NumericVector(rEngine, this.sourceValueArray2);

stopWatch.Stop();

long dataConversionTime = stopWatch.ElapsedMilliseconds;

#endregion

rEngine.SetSymbol("group1", numericVector1);

rEngine.SetSymbol("group2", numericVector2);

#region 평균 값을 계산한다.

stopWatch.Restart();

double averageValue = rEngine.Evaluate("mean(group1)").AsNumeric().First();

stopWatch.Stop();

long averageValueTime = stopWatch.ElapsedMilliseconds;

#endregion

#region 중간 값을 계산한다.

stopWatch.Restart();

double medianValue = rEngine.Evaluate("median(group1)").AsNumeric().First();

stopWatch.Stop();

long medianValueTime = stopWatch.ElapsedMilliseconds;

#endregion

#region 표준 편차 값을 계산한다.

stopWatch.Restart();

double standardDeviationValue = rEngine.Evaluate("sd(group1)").AsNumeric().First();

stopWatch.Stop();

long standardDeviationValueTime = stopWatch.ElapsedMilliseconds;

#endregion

#region 상관 계수 값을 계산한다.

stopWatch.Restart();

double correlationValue = rEngine.Evaluate("cor(group1, group2)").AsNumeric().First();

stopWatch.Stop();

long correlationValueTime = stopWatch.ElapsedMilliseconds;

#endregion

#region ANOVA 값을 계산한다.

stopWatch.Restart();

GenericVector genericVector = rEngine.Evaluate("t.test(group1, group2)").AsList();

double pValue = genericVector["p.value"].AsNumeric().First();

stopWatch.Stop();

long pValueTime = stopWatch.ElapsedMilliseconds;

#endregion

this.dataConversionTimeTextBox1.Text = dataConversionTime.ToString();

this.avergageValueTextBox1.Text = averageValue.ToString();

this.averageValueTimeTextBox1.Text = averageValueTime.ToString();

this.medianValueTextBox1.Text = medianValue.ToString();

this.medianValueTimeTextBox1.Text = medianValueTime.ToString();

this.standardDeviationValueTextBox1.Text = standardDeviationValue.ToString();

this.standardDeviationValueTimeTextBox1.Text = standardDeviationValueTime.ToString();

this.correlationValueTextBox1.Text = correlationValue.ToString();

this.correlationValueTimeTextBox1.Text = correlationValueTime.ToString();

this.anovaValueTextBox1.Text = pValue.ToString();

this.anovaValueTimeTextBox1.Text = pValueTime.ToString();

}

#endregion

#region 계산하기 (NMATH) - CalculateWithNMATH()

/// <summary>

/// 계산하기 (NMATH)

/// </summary>

private void CalculateWithNMATH()

{

Stopwatch stopwatch = new Stopwatch();

#region 데이터를 변환한다.

stopwatch.Start();

DoubleVector doubleVector1 = new DoubleVector(this.sourceValueArray1);

DoubleVector doubleVector2 = new DoubleVector(this.sourceValueArray2);

stopwatch.Stop();

long dataConversionTime = stopwatch.ElapsedMilliseconds;

#endregion

#region 평균 값을 계산한다.

stopwatch.Restart();

double averageValue = NMathFunctions.Mean(doubleVector1);

stopwatch.Stop();

long averageValueTime = stopwatch.ElapsedMilliseconds;

#endregion

#region 중간 값을 계산한다.

stopwatch.Restart();

double medianValue = NMathFunctions.Median(doubleVector1);

stopwatch.Stop();

long medianValueTime = stopwatch.ElapsedMilliseconds;

#endregion

#region 표준 편차 값을 계산한다.

stopwatch.Restart();

double standardDeviationValue = StatsFunctions.StandardDeviation(doubleVector1);

stopwatch.Stop();

long standardDeviationValueTime = stopwatch.ElapsedMilliseconds;

#endregion

#region 상관 계수 값을 계산한다.

stopwatch.Restart();

double correlationValue = StatsFunctions.Correlation(doubleVector1, doubleVector2);

stopwatch.Stop();

long correlationValueTime = stopwatch.ElapsedMilliseconds;

#endregion

#region ANOVA 값을 계산한다.

stopwatch.Restart();

OneWayAnova oneWayAnova = new OneWayAnova();

oneWayAnova.SetData(new DoubleVector[] { doubleVector1, doubleVector2 });

double pValue = oneWayAnova.AnovaTable.FStatisticPValue;

stopwatch.Stop();

long pValueTime = stopwatch.ElapsedMilliseconds;

#endregion

this.dataConversionTimeTextBox2.Text = dataConversionTime.ToString();

this.averageValueTextBox2.Text = averageValue.ToString();

this.averageValueTimeTextBox2.Text = averageValueTime.ToString();

this.medianValueTextBox2.Text = medianValue.ToString();

this.medianValueTimeTextBox2.Text = medianValueTime.ToString();

this.standardDeviationValueTextBox2.Text = standardDeviationValue.ToString();

this.standardDeviationValueTimeTextBox2.Text = standardDeviationValueTime.ToString();

this.correlationValueTextBox2.Text = correlationValue.ToString();

this.correlationValueTimeTextBox2.Text = correlationValueTime.ToString();

this.anovaValueTextBox.Text = pValue.ToString();

this.anovaValueTimeTextBox.Text = pValueTime.ToString();

}

#endregion

}

TestSolution.zip

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[C#/COMMON/R.NET] R/NMATH 계산 시간 비교하기