[C#/COMMON/R.NET] 평균, 중간, 표준 편차, 상관 계수, ANOVA 계산하기
■ 평균, 중간, 표준 편차, 상관 계수, ANOVA를 계산하는 방법을 보여준다. ▶ Program.cs
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using System; using System.IO; using System.Collections.Generic; using System.Linq; using RDotNet; namespace TestProject { /// <summary> /// 프로그램 /// </summary> class Program { //////////////////////////////////////////////////////////////////////////////////////////////////// Method ////////////////////////////////////////////////////////////////////////////////////////// Static //////////////////////////////////////////////////////////////////////////////// Private #region 소스 값 배열 구하기 - GetSourceValueArray(count) /// <summary> /// 소스 값 배열 구하기 /// </summary> /// <param name="count">카운트</param> /// <returns>소스 값 배열</returns> private static 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 R 실행 가능 경로 추가하기 - AddRExecutablePath() /// <summary> /// R 실행 가능 경로 추가하기 /// </summary> private static void AddRExecutablePath() { string pathValue = Environment.GetEnvironmentVariable("Path"); string rExecutablePath = @"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 + rExecutablePath); } #endregion #region 숫자 벡터 설정하기 - SetNumericVector(rEngine, variableName, sourceArray) /// <summary> /// 숫자 벡터 설정하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName">변수명</param> /// <param name="sourceArray">소스 배열</param> private static void SetNumericVector(REngine rEngine, string variableName, double[] sourceArray) { NumericVector numericVector = new NumericVector(rEngine, sourceArray); rEngine.SetSymbol(variableName, numericVector); } #endregion #region 숫자 벡터 설정하기 - SetNumericVector(rEngine, variableName, sourceEnumerable) /// <summary> /// 숫자 벡터 설정하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName">변수명</param> /// <param name="sourceEnumerable">소스 열거형</param> private static void SetNumericVector(REngine rEngine, string variableName, IEnumerable<double> sourceEnumerable) { NumericVector numericVector = new NumericVector(rEngine, sourceEnumerable); rEngine.SetSymbol(variableName, numericVector); } #endregion #region 평균 값 구하기 - GetAverageValue(rEngine, variableName) /// <summary> /// 평균 값 구하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName">변수명</param> /// <returns>평균 값</returns> private static double GetAverageValue(REngine rEngine, string variableName) { double averageValue = rEngine.Evaluate(string.Format("mean({0})", variableName)).AsNumeric().First(); return averageValue; } #endregion #region 중간 값 구하기 - GetMedianValue(rEngine, variableName) /// <summary> /// 중간 값 구하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName">변수명</param> /// <returns>중간 값</returns> private static double GetMedianValue(REngine rEngine, string variableName) { double medianValue = rEngine.Evaluate(string.Format("median({0})", variableName)).AsNumeric().First(); return medianValue; } #endregion #region 표준 편차 값 구하기 - GetStandardDeviationValue(rEngine, variableName) /// <summary> /// 표준 편차 값 구하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName">변수명</param> /// <returns>표준 편차 값</returns> private static double GetStandardDeviationValue(REngine rEngine, string variableName) { double medianValue = rEngine.Evaluate(string.Format("sd({0})", variableName)).AsNumeric().First(); return medianValue; } #endregion #region 상관 계수 값 구하기 - GetCorrelationValue(rEngine, variableName1, variableName2) /// <summary> /// 상관 계수 값 구하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName1">변수명 1</param> /// <param name="variableName2">변수명 2</param> /// <returns>상관 계수 값</returns> private static double GetCorrelationValue(REngine rEngine, string variableName1, string variableName2) { double correlationValue = rEngine.Evaluate(string.Format("cor({0}, {1})", variableName1, variableName2)).AsNumeric().First(); return correlationValue; } #endregion #region ANOVA 값 구하기 - GetANOVAValue(rEngine, variableName1, variableName2) /// <summary> /// ANOVA 값 구하기 /// </summary> /// <param name="rEngine">R 엔진</param> /// <param name="variableName1">변수명 1</param> /// <param name="variableName2">변수명 2</param> /// <returns>상관 계수 값</returns> private static double GetANOVAValue(REngine rEngine, string variableName1, string variableName2) { GenericVector genericVector = rEngine.Evaluate(string.Format("t.test({0}, {1})", variableName1, variableName2)).AsList(); double pValue = genericVector["p.value"].AsNumeric().First(); return pValue; } #endregion #region 프로그램 실행하기 - Main() /// <summary> /// 프로그램 실행하기 /// </summary> private static void Main() { AddRExecutablePath(); // 소스 값 배열을 설정한다. double[] sourceValueArray1 = GetSourceValueArray(1000000); double[] sourceValueArray2 = GetSourceValueArray(1000000); using(REngine rEngine = REngine.CreateInstance("RDotNet")) { rEngine.Initialize(); SetNumericVector(rEngine, "value1", sourceValueArray1); SetNumericVector(rEngine, "value2", sourceValueArray2); // 평균 값을 계산한다. double averageValue = GetAverageValue(rEngine, "value1"); Console.WriteLine("평균 값 : " + averageValue.ToString()); // 중간 값을 계산한다. double medianValue = GetMedianValue(rEngine, "value1"); Console.WriteLine("중간 값 : " + medianValue.ToString()); // 표준 편차 값을 계산한다. double standardDeviationValue = GetStandardDeviationValue(rEngine, "value1"); Console.WriteLine("표준 편차 : " + standardDeviationValue.ToString()); // 상관 계수 값을 계산한다. double correlationValue = GetCorrelationValue(rEngine, "value1", "value2"); Console.WriteLine("상관 계수 : " + correlationValue.ToString()); // ANOVA 값을 계산한다. double pValue = GetANOVAValue(rEngine, "value1", "value2"); Console.WriteLine("ANOVA : " + pValue.ToString()); } } #endregion } } |
※ 상기 소스는 실행에 앞서 R 3.4.1 버전이
