private static void TestPendingFinalizersThreadingIssues(REngine e)
{
e.Evaluate("f <- function(a) {if (length(a)!= 1) stop('What goes on?')}");
var f = e.Evaluate("f").AsFunction();
try
{
e.Evaluate("f(letters[1:3])");
}
catch (EvaluationException)
{
}
f.Invoke(e.CreateCharacterVector(new[] { "blah" }));
try
{
f.Invoke(e.CreateCharacterVector(new[] { "blah", "blah" }));
}
catch (EvaluationException)
{
Console.WriteLine("Caught the expected exception");
}
f = null;
GC.Collect();
GC.WaitForPendingFinalizers();
e.Dispose();
Console.WriteLine("Just waiting for crash...");
GC.Collect();
GC.WaitForPendingFinalizers();
}
static void Main(string[] args)
{
//intializing
setPath();
loadData();
using (REngine rengine = REngine.GetInstance())
{
rengine.Initialize();
//Importing libraries
rengine.Evaluate("library(ggplot2)");
rengine.Evaluate("library(ggthemes)");
rengine.Evaluate("library(dplyr)");
//Creating the dataframe
rengine.Evaluate("df <- setNames(data.frame(matrix(ncol=2, nrow=0)), c(\"year\",\"userCount\"))").AsDataFrame();
//Storing data from the class object into the dataframe
for (int i = 0; i < holder.year.Count; i++)
{
rengine.Evaluate("df[nrow(df)+1,] <- c(" + holder.year[i] + ", " + holder.userCount[i] + ")");
}
//Creating the time series chart
rengine.Evaluate("chart <- df %>% ggplot(aes(x=year, y=userCount)) + geom_smooth(size=2, aes(colour=\"red\", fill=\"black\"), show.legend=FALSE) + labs(x=\"Year\",y=\"User Count\") + theme_classic()");
//Saving the graph to a png file
string fileName = "C:/Users/{insert username here}/Desktop/plot0.png";
CharacterVector fileVector = rengine.CreateCharacterVector(new[] { fileName });
rengine.SetSymbol("fileName", fileVector);
rengine.Evaluate("png(filename=fileName, width=6, height=6, units='in',res=100)");
rengine.Evaluate("print(chart)");
//Cleaning up
rengine.Evaluate("dev.off()");
rengine.Dispose();
}
}
public static void TestMethod()
{
REngine.SetEnvironmentVariables();
// There are several options to initialize the engine, but by default the following suffice:
REngine engine = REngine.GetInstance();
// .NET Framework array to R vector.
NumericVector testTs = engine.CreateNumericVector(new double[] { 30.02, 29.99, 30.11, 29.97, 30.01, 29.99 });
engine.SetSymbol("testTs", testTs);
// Direct parsing from R script.
//NumericVector group2 = engine.Evaluate("group2 <- c(29.89, 29.93, 29.72, 29.98, 30.02, 29.98)").AsNumeric();
//auto arima for monthly
engine.Evaluate("tsValue <- ts(testTs, frequency=1, start=c(2010, 1, 1))");
engine.Evaluate("library(forecast)");
engine.Evaluate("arimaFit <- auto.arima(tsValue)");
engine.Evaluate("fcast <- forecast(tsValue, h=5)");
var a = engine.Evaluate("fcast <- forecast(tsValue, h=5)").AsCharacter();
NumericVector forecasts = engine.Evaluate("fcast$mean").AsNumeric();
foreach (var item in forecasts)
{
Console.WriteLine(item);
}
engine.Dispose();
}
public void testR()
{
string result;
string input;
REngine engine;
//init the R engine
REngine.SetEnvironmentVariables();
engine = REngine.GetInstance();
engine.Initialize();
//input
Console.WriteLine("Please enter the calculation");
// input = Console.ReadLine();
input = " 1 + 2";
//calculate
CharacterVector vector = engine.Evaluate(input).AsCharacter();
result = vector[0];
//clean up
engine.Dispose();
//output
Console.WriteLine("");
Console.WriteLine("Result: '{0}'", result);
Console.WriteLine("Press any key to exit");
// Console.ReadKey();
}
static void Main()
{
Application.EnableVisualStyles();
Application.SetCompatibleTextRenderingDefault(false);
string rHome = Path.Combine(Directory.GetCurrentDirectory(), @"R-portable");
Environment.SetEnvironmentVariable("PATH", rHome);
REngine engine = REngine.GetInstance();
Application.ThreadExit += (sender, e) => engine.Dispose();
engine.Initialize();
var ImageLocation = Path.Combine(Path.GetTempPath(), Path.GetTempFileName() + ".png");
Application.ThreadExit += (sender, e) => {
try
{
File.Delete(ImageLocation);
}
finally { }
};
var outGraphForm = new Form1();
outGraphForm.pictureBox1.ImageLocation = ImageLocation;
engine.Evaluate(string.Format("png('{0}', {1}, {2})", ImageLocation.Replace('\\', '/'),
outGraphForm.pictureBox1.Width, outGraphForm.pictureBox1.Height));
engine.Evaluate(@"plot(1:10, pch=1:10, col=1:10, cex=seq(1, 2, length=10))
text(c(1), c(1), c('Text here'), col=c('red'))");
engine.Evaluate("dev.off()");
Application.Run(outGraphForm);
}
/// <summary>
/// 测试不成功，slam要求R Version >= 3.4.0
/// </summary>
private static void TestImage()
{
try
{
REngine.SetEnvironmentVariables(@"D:\r\R-3.2.5\bin\i386", @"D:\r\R-3.2.5\bin\i386");
REngine engine = REngine.GetInstance();
engine.Initialize();
var x = engine.Evaluate("jpeg('test.jpg',quality=90)");
engine.Evaluate("library(wordcloud)");
engine.Evaluate("colors=c('red','blue','green','yellow','purple')");
engine.Evaluate(" data(SOTU);wordcloud(SOTU,min.freq=10,colors=colors);dev.off()");
x = engine.Evaluate("r=readBin('test.jpg','raw',3000*3000);unlink('test.jpg');r");
byte[] bs = x.AsRaw().ToArray();
Image img = Image.FromStream(new MemoryStream(bs));
img.Save("e:/my.jpg", ImageFormat.Jpeg);
engine.Dispose();
}
catch (Exception e)
{
Console.WriteLine(e.StackTrace);
}
}
static void Main(string[] args)
{
if (args.Length == 0)
{
Console.WriteLine(@"Usage:");
Console.WriteLine(@"SourceRCode.exe c:/path/to/source.r");
Console.WriteLine(@" (!) Do note that you should use forward slashes (simpler than backslashes here)");
return;
}
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
engine.Evaluate("source('" + args[0] + "')");
/*
* // Say your R file contains:
*
* sqr <- function(x) {
* return(x*x)
* }
*/
Console.WriteLine("By default, autoprint on the console");
double[] a = engine.Evaluate("sqr(0:5)").AsNumeric().ToArray();
Console.WriteLine("However, for manipulation of larger data, autoprint on the console is probably not a good idea");
engine.AutoPrint = false;
a = engine.Evaluate("sqr(0:1000)").AsNumeric().ToArray();
Console.WriteLine("Length(a) is " + a.Length + ", but the vector has not been written out to the console");
Console.WriteLine("Press any key to exit the program");
Console.ReadKey();
engine.Dispose();
}
private static double GetRecomendedQuntity(List <double> countList)
{
List <double> data = new List <double>();
for (int i = 0; i < countList.Count; i++)
{
data.Add(countList[i]);
}
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
engine.Initialize();
NumericVector dataVector = engine.CreateNumericVector(data.ToArray());
engine.SetSymbol("dataVector", dataVector);
engine.Evaluate("graphObj <- ts(dataVector, frequency=1, start=c(1, 1, 1))");
engine.Evaluate("library(\"forecast\")");
engine.Evaluate("arimaFit <- arima(graphObj,order=c(2,2,2))");
engine.Evaluate("fcast <- forecast(arimaFit, h=1)");
engine.Evaluate("result <- as.numeric(fcast$mean)");
NumericVector forecastResult = engine.GetSymbol("result").AsNumeric();
double result = forecastResult.First();
engine.Dispose();
return(result);
}
/// <summary>
/// Zamyka instancję. Przed zamknięciem aplikacji zawsze zamykać instancję!
/// </summary>
public void DisposeEngine()
{
if (engine != null)
{
engine.Dispose();
}
}
public static void HelloR()
{
REngine.SetEnvironmentVariables();
// There are several options to initialize the engine, but by default the following suffice:
REngine engine = REngine.GetInstance();
// .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);
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
engine.Dispose();
}
static void Main(string[] args)
{
REngine.SetEnvironmentVariables(@"c:\Program Files\Microsoft\R Client\R_SERVER\bin\x64\", @"c:\Program Files\Microsoft\R Client\R_SERVER\"); // <-- May be omitted; the next line would call it.
REngine engine = REngine.GetInstance();
// A somewhat contrived but customary Hello World:
//CharacterVector charVec = engine.CreateCharacterVector(new[] { "Hello, R world!, .NET speaking" });
//engine.SetSymbol("greetings", charVec);
//engine.Evaluate("str(greetings)"); // print out in the console
//string[] a = engine.Evaluate("'Hi there .NET, from the R engine'").AsCharacter().ToArray();
//Console.WriteLine("R answered: '{0}'", a[0]);
//Console.WriteLine("Press any key to exit the program");
//Console.ReadKey();
// .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);
Console.ReadKey();
engine.Dispose();
}
/// <summary>
/// Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.
/// </summary>
public override void Initialize()
{
SetStartDate(2013, 10, 07); //Set Start Date
SetEndDate(2013, 10, 11); //Set End Date
SetCash(100000); //Set Strategy Cash
// Find more symbols here: http://quantconnect.com/data
AddEquity("SPY", Resolution.Second);
REngine engine = REngine.GetInstance();
engine.Evaluate("print('This is from R command.')");
// .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();
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
engine.Dispose();
}
public void Rexecution()
{
//RScriptRunner rr = new RScriptRunner();
//string curDirectory = "D:\\VisualStudioCommunity\\DailyMonitoringCMC\\DailyMonitoringCMC\\App_Data";
//string result = RScriptRunner.RunFromCmd(curDirectory + @"\testCSharp.R", "rscript.exe","");
//@"C:\Program Files\R\R-3.2.3\bin\x64", @"C:\Program Files\R\R-3.2.3"
//IMPORTANT: Engine.evaluate("source('\\\\\\\\something.x.y./somelocation/somefile.r');");
REngine.SetEnvironmentVariables();
// There are several options to initialize the engine, but by default the following suffice:
REngine engine = REngine.GetInstance();
//engine.Evaluate("require('ggplot2')");
//engine.Evaluate("library('ggplot2')");
engine.Evaluate("print(plot.ts(c(1:100))");
//engine.Evaluate("source('D:\\Thesis R\\testCSharp.R')");
// .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);
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
engine.Dispose();
}
public void Analyse(List <string> inputTweets)
{
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
try
{
inputTweets.ForEach(x => RCharVector.AddRange(x.Split(new char[] { '.' }, StringSplitOptions.RemoveEmptyEntries)));
inputTweets.ForEach(x => RCharVector.RemoveAll(y => string.IsNullOrEmpty(y.Trim())));
if (inputTweets.Count > 0)
{
engine.Evaluate("library('syuzhet')");
CharacterVector gp3 = engine.CreateCharacterVector(RCharVector);
engine.SetSymbol("grp3", gp3);
engine.Evaluate("grp3");
engine.Evaluate("g <- get_nrc_sentiment(grp3)");
engine.Evaluate("barplot(colSums(prop.table(g[, 3:8])))");
}
else
{
Console.WriteLine("No Tweets found with input data. Please change input data.");
}
}
finally
{
engine.Dispose();
}
}
//
// GET: /Home/
public ActionResult Index()
{
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
engine.Initialize();
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);
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
engine.Dispose();
return(View());
}
private static void Main(string[] args)
{
string rHome = null;
string rPath = null;
if (args.Length > 0)
{
rPath = args[0];
}
if (args.Length > 1)
{
rHome = args[1];
}
REngine.SetEnvironmentVariables(rPath: rPath, rHome: rHome);
REngine e = REngine.GetInstance();
System.Console.WriteLine(RDotNet.NativeLibrary.NativeUtility.SetEnvironmentVariablesLog);
counter = 0;
for (int i = 0; i < 6; i++)
{
TestDataFrameInMemoryCreation(e);
}
for (int i = 0; i < 6; i++)
{
TestCallStop(e);
}
e.Dispose();
}
void init()
{
REngine engine = REngine.GetInstance();
engine.Initialize();
engine.Dispose();
}
protected override void OnFormClosing(FormClosingEventArgs e)
{
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
REngine engine = REngine.GetInstance();
engine.Dispose();
}
private static void KillEngine()
{
if (_engine != null)
{
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
_engine.Dispose();
}
}
public TSAnalyze ()
{
InitializeComponent ();
// There are several options to initialize thengine, but by default the following suffice:
REngine engine = REngine.GetInstance();
//init the R engine
REngine.SetEnvironmentVariables ();
engine = REngine.GetInstance ();
engine.Initialize ();
//prepare data
List<int> size = new List<int>() { 29, 33, 51, 110, 357, 45, 338, 543, 132, 70, 103, 301, 146, 10, 56, 243, 238 };
List<int> population = new List<int>() { 3162, 11142, 3834, 7305, 81890, 1339, 5414, 65697, 11280, 4589, 320, 60918, 480, 1806, 4267, 63228, 21327 };
var docPath = Directory.GetCurrentDirectory();
//var myDir = $@"{docPath}\output";
var myDir = bingPathToAppDir ("output");
Directory.CreateDirectory (myDir);
Console.WriteLine (Directory.Exists (myDir));
Console.WriteLine (myDir);
Console.WriteLine (bingPathToAppDir ("output"));
Console.WriteLine ("my image location {0}", myDir);
fileName = myDir + "\\myplot.png";
//calculate
IntegerVector sizeVector = engine.CreateIntegerVector(size);
engine.SetSymbol ("size", sizeVector);
IntegerVector populationVector = engine.CreateIntegerVector(population);
engine.SetSymbol ("population", populationVector);
CharacterVector fileNameVector = engine.CreateCharacterVector(new[] { fileName });
engine.SetSymbol ("fileName", fileNameVector);
engine.Evaluate ("reg <- lm(population~size)");
engine.Evaluate ("png(filename=fileName, width=6, height=6, units='in', res=100)");
engine.Evaluate ("plot(population~size)");
engine.Evaluate ("abline(reg)");
engine.Evaluate ("dev.off()");
//clean up
engine.Dispose ();
//output
Console.WriteLine ("");
Console.WriteLine ("Press any key to exit");
Console.ReadKey ();
}
private static void Main(string[] args)
{
string rHome = null;
string rPath = null;
if (args.Length > 0)
{
rPath = args[0];
}
if (args.Length > 1)
{
rHome = args[1];
}
NativeUtility util = new NativeUtility();
Console.WriteLine(util.FindRPaths(ref rPath, ref rHome));
rHome = null;
rPath = null;
REngine.SetEnvironmentVariables(rPath: rPath, rHome: rHome);
REngine e = REngine.GetInstance();
Console.WriteLine(NativeUtility.SetEnvironmentVariablesLog);
TestIssue53(e, 1000000);
e.Dispose();
return;
counter = 0;
for (int i = 0; i < 6; i++)
{
TestDataFrameInMemoryCreation(e);
}
for (int i = 0; i < 6; i++)
{
TestCallStop(e);
}
e.Dispose();
}
public static void Main(string[] args)
{
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
rdotnet_discussions_646729(engine);
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
engine.Dispose();
}
static void Main(string[] args)
{
REngine.SetEnvironmentVariables();
// There are several options to initialize the engine, but by default the following suffice:
REngine engine = REngine.GetInstance();
//engine.Birth_of_age();
//engine.Age_title_colours();
//engine.Barchart();
//engine.barchart_months_revenue();
//engine.Barchart_stacked();
engine.SetWd();
engine.GetWd();
//engine.Print("开始安装exec组件");
//engine.Evaluate("install.packages('xlsx')");
//engine.Print("结束安装exec组件");
engine.Print("读取文件开始");
//var csvName = engine.ReadCsv("InputName.csv");
//var param = new SymbolicExpressionParamList() { IsUseParamName = false };
//param.Add(new SymbolicExpressionParam(csvName));
//param.Add(new SymbolicExpressionParam(where: " as.Date(start_date) > as.Date('2014-01-01') "));
////param.Add(new SymbolicExpressionParam(where: "salary>600&dept=='IT'"));
//var subset = engine.ExecFunction(param, "subset");
//var paramA = new SymbolicExpressionParamList() { IsUseParamName = false };
//paramA.Add(new SymbolicExpressionParam(subset.AsDataFrame()));
//paramA.Add(new SymbolicExpressionParam(where: "'output1.csv'"));
//paramA.Add(new SymbolicExpressionParam(where: "row.names = FALSE"));
//engine.ExecFunction(paramA, "write.csv");
//engine.ReadCsv("output1.csv");
engine.Evaluate("library(xlsx) ");
var paramA = new SymbolicExpressionParamList()
{
IsUseParamName = false
};
paramA.Add(new SymbolicExpressionParam(where : "'input.xlsx'"));
paramA.Add(new SymbolicExpressionParam(engine.CreateNumeric(1), paramName: "sheetIndex"));
engine.ExecFunction(paramA, "read.xlsx");
//engine.ReadCsv("output1.csv");
engine.Print("读取文件结束");
engine.Dispose();
Console.ReadKey();
}
/// <summary>
/// Releases unmanaged and - optionally - managed resources
/// </summary>
/// <param name="disposing"> <c>true</c> to release both managed and unmanaged resources; <c>false</c> to release only unmanaged resources. </param>
protected override void Dispose(bool disposing)
{
if (!disposed)
{
if (disposing)
{
rEngine.Dispose();
}
disposed = true;
}
}
public static void Main(string[] args)
{
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
//stackoverflow_27689786_2752565 (engine);
stackoverflow_27597542_2752565(engine);
// you should always dispose of the REngine properly.
// After disposing of the engine, you cannot reinitialize nor reuse it
engine.Dispose();
}
private static void TestRVersion()
{
REngine.SetEnvironmentVariables(@"D:\r\R-3.2.5\bin\i386", @"D:\r\R-3.2.5\bin\i386"); // <-- May be omitted; next line would call it.
REngine engine = REngine.GetInstance();
string[] version = engine.Evaluate("R.version.string").AsCharacter().ToArray();
string versionStr = string.Join("", version);
Console.WriteLine(versionStr);
engine.Dispose();
}
private void button1_Click(object sender, EventArgs e)
{
REngine.SetEnvironmentVariables(); // <-- May be omitted; the next line would call it.
REngine engine = REngine.GetInstance();
// A somewhat contrived but customary Hello World:
CharacterVector charVec = engine.CreateCharacterVector(new[] { "Hello, R world!, .NET speaking" });
engine.SetSymbol("greetings", charVec);
engine.Evaluate("str(greetings)"); // print out in the console
string[] a = engine.Evaluate("'Hi there .NET, from the R engine'").AsCharacter().ToArray();
Console.WriteLine("R answered: '{0}'", a[0]);
Console.WriteLine("Press any key to exit the program");
engine.Dispose();
}
static void Main(string[] args)
{
if (args.Length == 0)
{
Console.WriteLine(@"Usage:");
Console.WriteLine(@"SourceRCode.exe c:/path/to/source.r");
Console.WriteLine(@" (!) Do note that you should use forward slashes (simpler than backslashes here)");
return;
}
REngine.SetEnvironmentVariables();
REngine engine = REngine.GetInstance();
engine.Evaluate("source('" + args[0] + "')");
/*
* // Say your R file contains:
*
* sqr <- function(x) {
* return(x*x)
* }
*/
Console.WriteLine("By default, autoprint on the console");
double[] a = engine.Evaluate("sqr(0:5)").AsNumeric().ToArray();
Console.WriteLine("However, for manipulation of larger data, autoprint on the console is probably not a good idea");
engine.AutoPrint = false;
a = engine.Evaluate("sqr(0:1000)").AsNumeric().ToArray();
Console.WriteLine("Length(a) is " + a.Length + ", but the vector has not been written out to the console");
/*
* // if testing for http://stackoverflow.com/questions/32236596/calling-user-defined-functions-inside-a-script-in-r-net
* double value1 = 1, value2 = 2;
* var dataframe = engine.Evaluate(string.Format(
* CultureInfo.InvariantCulture,
* "dataframe <- userDefinedFunctionOne(parameter1 = {0}, parameter2 = {1})",
* value1,
* value2)).AsDataFrame();
* // with
* // userDefinedFunctionOne <- function(parameter1, parameter2) {
* // return( data.frame(a=parameter1, b=parameter2) )
* // }
*
*/
Console.WriteLine("Press any key to exit the program");
Console.ReadKey();
engine.Dispose();
}
public string run_ruvseq(List <string> group1, List <string> group2)
{
try
{
engine = REngine.GetInstance();
engine.Initialize();
engine.Evaluate(string.Format("Sys.setenv(PATH = paste('{0}', ';', Sys.getenv('PATH'), sep=''))", this.rPath));
engine.Evaluate("Sys.getenv()");
engine.Evaluate("library('RUVSeq')");
engine.Evaluate("library('DESeq2')");
engine.Evaluate("library('RColorBrewer')");
engine.Evaluate("matrix <- read.table('" + inputFile + "', header=TRUE, sep=',', fill=TRUE, row.names=1)");
engine.Evaluate("matrix <- matrix + 1;" +
"matrix <- round(matrix, 0);" +
"filter <- apply(matrix, 1, function(x) length(x[x > 5]) >= 2);" +
"filtered <- matrix[filter,];" +
"genes <- rownames(filtered)[grep('^ENS', rownames(filtered))];" +
"spikes <- rownames(filtered)[grep('^ERCC', rownames(filtered))];");
CharacterVector colnames = engine.Evaluate("colnames(filtered)").AsCharacter();
var x = engine.CreateCharacterVector(this.groupSeparation(colnames, group1, group2));
engine.SetSymbol("x", x);
engine.Evaluate("print(x)");
engine.Evaluate("print(colnames(filtered))");
engine.Evaluate("colors <- brewer.pal(4, 'Set1');" +
"set <- newSeqExpressionSet(as.matrix(filtered), phenoData = data.frame(x, row.names=colnames(filtered)));" +
"set <- betweenLaneNormalization(set, which='upper');" +
"set1 <- RUVg(set, spikes, k=1);" +
"write.csv(normCounts(set1), paste('" + outputFileDirectory + "\\\\" + outputFile + "','_normalizedCounts.csv', sep=''));" +
"write.csv(counts(set1), paste('" + outputFileDirectory + "\\\\" + outputFile + "', '_counts.csv', sep = ''));" +
"write.csv(pData(set1), paste('" + outputFileDirectory + "\\\\" + outputFile + "','_colData.csv', sep = ''));");
engine.Evaluate(@"png(file = paste('" + outputFileDirectory + "\\\\" + outputFile + "','_graphRLE_RUV.png', sep = ''), height = 720, width = 1280);" +
"plotRLE(set1, outline = FALSE, ylim = c(-4, 4), col = colors[x], xaxt = 'n', ann = FALSE);" +
"text(x = seq(1, length(colnames(filtered))) - .2, par('usr')[3] - .4, labels = colnames(filtered), adj = c(1.5, 1.5), srt = 60, pos = 1, xpd = TRUE, cex = 1);" +
"axis(1, at = seq(1, length(colnames(filtered)), by = 1), labels = FALSE);" +
"dev.off();");
engine.Evaluate("png(file = paste('" + outputFileDirectory + "\\\\" + outputFile + "', '_graphPCA_RUV.png', sep = '), height = 720, width = 1280);" +
"plotPCA(set1, col = colors[x], cex = 1.2);" +
"dev.off();");
return("Success");
}
catch (RDotNet.EvaluationException e)
{
return(e.ToString());
}
finally
{
engine.Dispose();
}
}
/// <summary>
/// Test that the disposal of the REngine and program exit does not lead to an exception.
/// Primarily for testing an issue with Debian: https://rdotnet.codeplex.com/workitem/60
/// </summary>
private static void Main(string[] args)
{
bool keepSexpRefAfterDispose = false;
if (args.Length > 0)
{
keepSexpRefAfterDispose = bool.Parse(args[0]);
}
REngine.SetEnvironmentVariables();
REngine e = REngine.GetInstance();
e.Evaluate("f <- function(a) {if (length(a)!= 1) stop('What goes on?')}");
var f = e.Evaluate("f").AsFunction();
try
{
e.Evaluate("f(letters[1:3])");
}
catch (EvaluationException)
{
}
f.Invoke(e.CreateCharacterVector(new[] { "blah" }));
try
{
f.Invoke(e.CreateCharacterVector(new[] { "blah", "blah" }));
}
catch (EvaluationException)
{
Console.WriteLine("Caught the expected exception");
}
if (!keepSexpRefAfterDispose)
{
Console.WriteLine("Symbolic expression set to null before engine Dispose");
f = null;
}
GC.Collect();
GC.WaitForPendingFinalizers();
e.Dispose();
Console.WriteLine("Engine has been disposed of");
if (keepSexpRefAfterDispose)
{
Console.WriteLine("Symbolic expression set to null after engine Dispose");
f = null;
}
Console.WriteLine("Now performing final CLR GC collect");
GC.Collect();
GC.WaitForPendingFinalizers();
}