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using System;
using System.IO;
using System.Linq;
using RDotNet;

class Program
{
   staticvoid Main(string[] args)
   {
      // Set the folder in which R.dll locates.// See Documentation for automatic search of installation path.var envPath = Environment.GetEnvironmentVariable("PATH");
      var rBinPath = @"C:\Program Files\R\R-2.15.1\bin\x64";
      Environment.SetEnvironmentVariable("PATH", envPath + Path.PathSeparator + rBinPath);

      // For Linux or Mac OS, R_HOME environment variable may be needed.//Environment.SetEnvironmentVariable("R_HOME", "/usr/lib/R")using (REngine engine = REngine.CreateInstance("RDotNet"))
      {
         // From v1.5, REngine requires explicit initialization.// You can set some parameters.
         engine.Initialize();

         // .NET Framework array to R vector.
         NumericVector group1 = engine.CreateNumericVector(newdouble[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
         engine.SetSymbol("group1", group1);
         // Direct parsing from R script.
         NumericVector group2 = engine.Evaluate("group2 <- c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)").AsNumeric();

         // Test difference of mean and get the P-value.
         GenericVector testResult = engine.Evaluate("t.test(group1, group2)").AsList();
         double p = testResult["p.value"].AsNumeric().First();

         Console.WriteLine("Group1: [{0}]", string.Join(", ", group1));
         Console.WriteLine("Group2: [{0}]", string.Join(", ", group2));
         Console.WriteLine("P-value = {0:0.000}", p);
      }
   }
}