Project Description:
R.NET enables .NET Framework to collaborate with R statistical computing. R.NET requires .NET Framework 4 and native DLLs installed with R environment. You need no other extra installations. Enjoy statistics and programming in your special language with R.
R.NET就是提供封装的一些原生的DLL,然后在NET中直接调用,现在对生成Chart图表还是不支持。所以一般都是调用库算好取出数据,这点还需要加强。
using System; using System.IO; using System.Linq; using RDotNet; class CSharpProgram { static void Main(string[] args) { // Set the folder in which R.dll locates. // See Documentation for automatic search of installation path. // This example set PATH environment variable for 64-bit process and R x64 on Windows. // You should appropriately set the correct location for other cases. // Refer to the Documentation page. var envPath = Environment.GetEnvironmentVariable("PATH"); var rBinPath = @"C:\Program Files\R\R-x.y.z\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(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.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); } } }