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curve fitting
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package rJava; | |
import org.rosuda.JRI.REXP; | |
import org.rosuda.JRI.Rengine; | |
public class RSample { | |
public static void main(String[] args) { | |
System.out.println("R_HOME:" + System.getenv("R_HOME")); | |
System.out.println("java.library.path:" | |
+ System.getProperty("java.library.path")); | |
Rengine engine = new Rengine(new String[] { | |
"--no-save" | |
}, false, null); | |
try { | |
String filename = "dist.dat"; | |
engine.eval("data<-read.csv(\"" + filename + "\")"); | |
engine.eval("x<-data[,1]"); | |
engine.eval("y<-data[,2]"); | |
String[] exprs = { | |
"a*x+b", "a*x^b", "a*b^x" | |
}; | |
for (String expr : exprs) { | |
double[] r = func(engine, expr); | |
String out = expr; | |
out += (": a=" + r[0]); | |
out += (", b=" + r[1]); | |
out += (" (AIC " + r[2] + ")"); | |
System.out.println(out); | |
} | |
} finally { | |
engine.end(); | |
} | |
} | |
private static double[] func(Rengine engine, String f) { | |
engine.eval("result<-nls(y~(" + f + "), start=c(a=1, b=1))"); | |
REXP result0 = engine.eval("summary(result)"); | |
REXP result1 = engine.eval("AIC(result)"); | |
double[] c = ((result0.asVector()).at("parameters")).asDoubleArray(); | |
double[] ret = { | |
c[0], c[1], result1.asDouble() | |
}; | |
return ret; | |
} | |
} |
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