Note: I really no longer support dot net framework array to r anymore. This means that I don’t support .NET nor Microsoft nor Windows anymore due to  back door security concerns I have with their product. I would strongly Python and other open source technologies over Microsoft product Also, this R posting is here as a courtesy due to R is still popular. Also remember this link recommended from my Academy section is from 2012 so it might no longer work.

Very Nice! My C# program calls R Code through the R.NET package. 

How to get R connect to NOSQL scalable database Redis with doRedis R package for parallelization

Whoa! I finally got this working with R.NET. I can get my C# appliction call directly R code which is very nice. There is a nasty bug on the search path of R so note at the beginning of the code as well. Get more info about R.Net package from http://rdotnet.codeplex.com/. Here is the C# code but don’t foret to add the.NET.DLL DLL reference in your Visual Studio:

Enjoy this C Sharp code

using System;
using System.Linq;
using RDotNet;

class Program
{
    static void Main(string[] args)
    {
        //code solution from http://stackoverflow.com/questions/7960738/importing-mgcv-fails-because-rlapack-dll-cannot-be-found
        string rhome = System.Environment.GetEnvironmentVariable(“R_HOME”);
        if (string.IsNullOrEmpty(rhome))
            rhome = @”C:Program FilesRR-2.15.0″;

        System.Environment.SetEnvironmentVariable(“R_HOME”, rhome);
        System.Environment.SetEnvironmentVariable(“PATH”, System.Environment.GetEnvironmentVariable(“PATH”) + “;” + rhome + @”bini386″);

        // Set the folder in which R.dll locates.
        //REngine.SetDllDirectory(@”C:Program FilesRR-2.12.0bini386″);
        REngine.SetDllDirectory(@”C:Program FilesRR-2.15.0bini386″);
        using (REngine engine = REngine.CreateInstance(“RDotNet”, new[] { “-q” }))  // quiet mode
        {
            foreach (string path in engine.EagerEvaluate(“.libPaths()”).AsCharacter())
            {
               Console.WriteLine(path);
            }
            //engine.EagerEvaluate(“.libPaths(“C:/Program Files/R/R-2.15.0/library”);

            // .NET Framework array to R vector.
            NumericVector group1 = engine.CreateNumericVector(new double[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
            engine.SetSymbol(“group1”, group1);
            // Direct parsing from R script.
            NumericVector group2 = engine.EagerEvaluate(“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.EagerEvaluate(“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);
        }
    }
}

Here is an C# example:

using System;
using System.Linq;
using RDotNet;

class Program
{
    static void Main(string[] args)
    {
        //code solution from http://stackoverflow.com/questions/7960738/importing-mgcv-fails-because-rlapack-dll-cannot-be-found
        string rhome = System.Environment.GetEnvironmentVariable(“R_HOME”);
        if (string.IsNullOrEmpty(rhome))
            rhome = @”C:Program FilesRR-2.15.0″;

        System.Environment.SetEnvironmentVariable(“R_HOME”, rhome);
        System.Environment.SetEnvironmentVariable(“PATH”, System.Environment.GetEnvironmentVariable(“PATH”) + “;” + rhome + @”bini386″);

        // Set the folder in which R.dll locates.
        //REngine.SetDllDirectory(@”C:Program FilesRR-2.12.0bini386″);
        REngine.SetDllDirectory(@”C:Program FilesRR-2.15.0bini386″);
        using (REngine engine = REngine.CreateInstance(“RDotNet”, new[] { “-q” }))  // quiet mode
        {
            foreach (string path in engine.EagerEvaluate(“.libPaths()”).AsCharacter())
            {
               Console.WriteLine(path);
            }
            engine.EagerEvaluate(“.libPaths(“C:/Program Files/R/R-2.15.0/library”);

            // .NET Framework array to R vector.
            //NumericVector group1 = engine.CreateNumericVector(new double[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
            //engine.SetSymbol(“group1”, group1);
            //// Direct parsing from R script.
            //NumericVector group2 = engine.EagerEvaluate(“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.EagerEvaluate(“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);

            //example to call complete R script from http://rdotnet.codeplex.com/discussions/262426
            //REngine R = REngine.GetInstanceFromID(“RDotNet”);
            //R.EagerEvaluate(“source(“MyRscript.r”)”);
            engine.EagerEvaluate(“source(“test.r”)”);
            Console.ReadLine();
        }
    }
}

Here is R script test.r which resides in the same Release directory as the C# program.

G<-c(1,2,3)
G
cat(‘hello from r’, G)

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