How to call R from Java using Rserve
In today’s data-driven world, combining the power of different programming languages is essential for tackling complex analytical tasks. Integrating R, a popular language for statistical computing and graphics, with Java, a universal language for building applications, can unlock new possibilities. One effective way to bridge the gap between R and Java is by utilizing Rserve—a server-based interface for R.
What is Rserve?
Rserve is a package in R that allows other programs to communicate with an R session over a network. It provides a flexible and efficient means for leveraging R’s capabilities from external languages like Java.
Example
Here’s an example demonstrating how to call R from Java using the Rserve package.
import org.rosuda.REngine.Rserve.RConnection;
import org.rosuda.REngine.Rserve.RserveException;
import org.rosuda.REngine.REXPMismatchException;
public class RserveInJava {
public static void main(String[] args) throws RserveException,
REXPMismatchException {
// Establish a connection to the Rserve server
RConnection connection = new RConnection();
System.out.println("The connection has been established with Rserve.");
// Execute the R code
String rCode = "X <- c(2, 4, 6, 8, 10); mean(X)"; // R code to calculate the mean of a vector
double result = connection.eval(rCode).asDouble();
System.out.println("Result from R: " + result);
// Close the connection
connection.close();
System.out.println("Disconnected from Rserve.");
}
}Explanation
Let’s look at the code explanation below:
Lines 1–3: We use the
org.rosuda.REngine.Rserve.RConnectionclass from theRservepackage to establish a connection to the Rserve server.Line 9: The
RConnectionobject represents the connection to the Rserve server. We create an instance ofRConnectionand establish a connection.Line 12: We define the R code we want to execute. In this case, we calculate the mean of a vector
Xusing themean()function.Lines 13–14: We use the
eval()method of theRConnectionobject to execute the R code. The result is returned as an object, and we can extract the value using the appropriate method based on the expected data type. In this example, we useREXP Basic class representing an object of any type in R. asDouble()to retrieve the result as a double value.Line 16: Finally, we close the connection using the
close()method of theRConnectionobject to release the resources.
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