R java

 Rcaller 2.0

 

 java 调用R

sudo apt-get install r-base   此时/usr/bin/Rscript生效

下载http://code.google.com/p/rcaller/   jar  加入到classpath

打开shell ，输入R，运行R

输入：install.packages("Runiversal")

选北京失败，选加拿大。

安装完毕

执行java代码

try {

              /*
               * Creating Java's random number generator
               */
              Random random = new Random();

              /*
               * Creating RCaller
               */
              RCaller caller = new RCaller();
              RCode code = new RCode();
              /*
               * Full path of the Rscript. Rscript is an executable file shipped with R.
               * It is something like C:\\Program File\\R\\bin.... in Windows
               */
              caller.setRscriptExecutable("/usr/bin/Rscript");

              /*
               *  We are creating a random data from a normal distribution
               * with zero mean and unit variance with size of 100
               */
              double[] data = new double[100];
              
              for (int i = 0; i < data.length; i++) {
                data[i] = random.nextGaussian();
              }

              /*
               * We are transferring the double array to R
               */
              code.addDoubleArray("x", data);

              /*
               * Adding R Code
               */
              code.addRCode("my.mean<-mean(x)");
              code.addRCode("my.var<-var(x)");
              code.addRCode("my.sd<-sd(x)");
              code.addRCode("my.min<-min(x)");
              code.addRCode("my.max<-max(x)");
              code.addRCode("my.standardized<-scale(x)");

              /*
               * Combining all of them in a single list() object
               */
              code.addRCode(
                      "my.all<-list(mean=my.mean, variance=my.var, sd=my.sd, min=my.min, max=my.max, std=my.standardized)");

              /*
               * We want to handle the list 'my.all'
               */
              caller.setRCode(code);
              caller.runAndReturnResult("my.all");
              
              double[] results;

              /*
               * Retrieving the 'mean' element of list 'my.all'
               */
              results = caller.getParser().getAsDoubleArray("mean");
              System.out.println("Mean is " + results[0]);

              /*
               * Retrieving the 'variance' element of list 'my.all'
               */
              results = caller.getParser().getAsDoubleArray("variance");
              System.out.println("Variance is " + results[0]);

              /*
               * Retrieving the 'sd' element of list 'my.all'
               */
              results = caller.getParser().getAsDoubleArray("sd");
              System.out.println("Standard deviation is " + results[0]);

              /*
               * Retrieving the 'min' element of list 'my.all'
               */
              results = caller.getParser().getAsDoubleArray("min");
              System.out.println("Minimum is " + results[0]);

              /*
               * Retrieving the 'max' element of list 'my.all'
               */
              results = caller.getParser().getAsDoubleArray("max");
              System.out.println("Maximum is " + results[0]);

              /*
               * Retrieving the 'std' element of list 'my.all'
               */
              results = caller.getParser().getAsDoubleArray("std");

              /*
               * Now we are retrieving the standardized form of vector x
               */
              System.out.println("Standardized x is ");
              
              for (int i = 0; i < results.length; i++) {
                System.out.print(results[i] + ", ");
              }
            } catch (Exception e) {
              System.out.println(e.toString());
            }

http://code.google.com/p/rcaller/

2.4 JGR：java GUI for R——http://www.rforge.net/JGR/ >>>以Java 为主的同学们, 作图可以考虑 JGR。这个还不错！

JGR (speak ‘Jaguar’) is a universal and unified Graphical User Interface for R (it actually abbreviates Java Gui for R).