[Rd] Cannot Compute Box's M (Three Days Trying...)

[Morkus]

It can't be this hard, right? I really need a shove in the right direction here. Been spinning wheels for three days. Cannot get past the errors.

I'm doing something wrong, obviously, since I can easily compute the Box's M right there in RStudio

But I don't see what is wrong below with the coding equivalent.

The entire code snippet is below. The code fails below on the call to the boxM statistic call.

PLEASE HELP!!!

Thanks in advance,

-------------------------

rConnection.eval("library('biotools')");

String inputIris = "5.1,3.5,1.4,0.2,setosa\n" +
"4.9,3,1.4,0.2,setosa\n" +
"4.7,3.2,1.3,0.2,setosa\n" +
"4.6,3.1,1.5,0.2,setosa\n" +
"5,3.6,1.4,0.2,setosa\n" +
"5.4,3.9,1.7,0.4,setosa\n" +
"4.6,3.4,1.4,0.3,setosa\n" +
"5,3.4,1.5,0.2,setosa\n" +
"4.4,2.9,1.4,0.2,setosa\n" +
"4.9,3.1,1.5,0.1,setosa\n" +
"5.4,3.7,1.5,0.2,setosa\n" +
"4.8,3.4,1.6,0.2,setosa\n" +
"4.8,3,1.4,0.1,setosa\n" +
"4.3,3,1.1,0.1,setosa\n" +
"5.8,4,1.2,0.2,setosa\n" +
"5.7,4.4,1.5,0.4,setosa\n" +
"5.4,3.9,1.3,0.4,setosa\n" +
"5.1,3.5,1.4,0.3,setosa\n" +
"5.7,3.8,1.7,0.3,setosa\n" +
"5.1,3.8,1.5,0.3,setosa\n" +
"5.4,3.4,1.7,0.2,setosa\n" +
"5.1,3.7,1.5,0.4,setosa\n" +
"4.6,3.6,1,0.2,setosa\n" +
"5.1,3.3,1.7,0.5,setosa\n" +
"4.8,3.4,1.9,0.2,setosa\n" +
"5,3,1.6,0.2,setosa\n" +
"5,3.4,1.6,0.4,setosa\n" +
"5.2,3.5,1.5,0.2,setosa\n" +
"5.2,3.4,1.4,0.2,setosa\n" +
"4.7,3.2,1.6,0.2,setosa\n" +
"4.8,3.1,1.6,0.2,setosa\n" +
"5.4,3.4,1.5,0.4,setosa\n" +
"5.2,4.1,1.5,0.1,setosa\n" +
"5.5,4.2,1.4,0.2,setosa\n" +
"4.9,3.1,1.5,0.2,setosa\n" +
"5,3.2,1.2,0.2,setosa\n" +
"5.5,3.5,1.3,0.2,setosa\n" +
"4.9,3.6,1.4,0.1,setosa\n" +
"4.4,3,1.3,0.2,setosa\n" +
"5.1,3.4,1.5,0.2,setosa\n" +
"5,3.5,1.3,0.3,setosa\n" +
"4.5,2.3,1.3,0.3,setosa\n" +
"4.4,3.2,1.3,0.2,setosa\n" +
"5,3.5,1.6,0.6,setosa\n" +
"5.1,3.8,1.9,0.4,setosa\n" +
"4.8,3,1.4,0.3,setosa\n" +
"5.1,3.8,1.6,0.2,setosa\n" +
"4.6,3.2,1.4,0.2,setosa\n" +
"5.3,3.7,1.5,0.2,setosa\n" +
"5,3.3,1.4,0.2,setosa\n" +
"7,3.2,4.7,1.4,versicolor\n" +
"6.4,3.2,4.5,1.5,versicolor\n" +
"6.9,3.1,4.9,1.5,versicolor\n" +
"5.5,2.3,4,1.3,versicolor\n" +
"6.5,2.8,4.6,1.5,versicolor\n" +
"5.7,2.8,4.5,1.3,versicolor\n" +
"6.3,3.3,4.7,1.6,versicolor\n" +
"4.9,2.4,3.3,1,versicolor\n" +
"6.6,2.9,4.6,1.3,versicolor\n" +
"5.2,2.7,3.9,1.4,versicolor\n" +
"5,2,3.5,1,versicolor\n" +
"5.9,3,4.2,1.5,versicolor\n" +
"6,2.2,4,1,versicolor\n" +
"6.1,2.9,4.7,1.4,versicolor\n" +
"5.6,2.9,3.6,1.3,versicolor\n" +
"6.7,3.1,4.4,1.4,versicolor\n" +
"5.6,3,4.5,1.5,versicolor\n" +
"5.8,2.7,4.1,1,versicolor\n" +
"6.2,2.2,4.5,1.5,versicolor\n" +
"5.6,2.5,3.9,1.1,versicolor\n" +
"5.9,3.2,4.8,1.8,versicolor\n" +
"6.1,2.8,4,1.3,versicolor\n" +
"6.3,2.5,4.9,1.5,versicolor\n" +
"6.1,2.8,4.7,1.2,versicolor\n" +
"6.4,2.9,4.3,1.3,versicolor\n" +
"6.6,3,4.4,1.4,versicolor\n" +
"6.8,2.8,4.8,1.4,versicolor\n" +
"6.7,3,5,1.7,versicolor\n" +
"6,2.9,4.5,1.5,versicolor\n" +
"5.7,2.6,3.5,1,versicolor\n" +
"5.5,2.4,3.8,1.1,versicolor\n" +
"5.5,2.4,3.7,1,versicolor\n" +
"5.8,2.7,3.9,1.2,versicolor\n" +
"6,2.7,5.1,1.6,versicolor\n" +
"5.4,3,4.5,1.5,versicolor\n" +
"6,3.4,4.5,1.6,versicolor\n" +
"6.7,3.1,4.7,1.5,versicolor\n" +
"6.3,2.3,4.4,1.3,versicolor\n" +
"5.6,3,4.1,1.3,versicolor\n" +
"5.5,2.5,4,1.3,versicolor\n" +
"5.5,2.6,4.4,1.2,versicolor\n" +
"6.1,3,4.6,1.4,versicolor\n" +
"5.8,2.6,4,1.2,versicolor\n" +
"5,2.3,3.3,1,versicolor\n" +
"5.6,2.7,4.2,1.3,versicolor\n" +
"5.7,3,4.2,1.2,versicolor\n" +
"5.7,2.9,4.2,1.3,versicolor\n" +
"6.2,2.9,4.3,1.3,versicolor\n" +
"5.1,2.5,3,1.1,versicolor\n" +
"5.7,2.8,4.1,1.3,versicolor\n" +
"6.3,3.3,6,2.5,virginica\n" +
"5.8,2.7,5.1,1.9,virginica\n" +
"7.1,3,5.9,2.1,virginica\n" +
"6.3,2.9,5.6,1.8,virginica\n" +
"6.5,3,5.8,2.2,virginica\n" +
"7.6,3,6.6,2.1,virginica\n" +
"4.9,2.5,4.5,1.7,virginica\n" +
"7.3,2.9,6.3,1.8,virginica\n" +
"6.7,2.5,5.8,1.8,virginica\n" +
"7.2,3.6,6.1,2.5,virginica\n" +
"6.5,3.2,5.1,2,virginica\n" +
"6.4,2.7,5.3,1.9,virginica\n" +
"6.8,3,5.5,2.1,virginica\n" +
"5.7,2.5,5,2,virginica\n" +
"5.8,2.8,5.1,2.4,virginica\n" +
"6.4,3.2,5.3,2.3,virginica\n" +
"6.5,3,5.5,1.8,virginica\n" +
"7.7,3.8,6.7,2.2,virginica\n" +
"7.7,2.6,6.9,2.3,virginica\n" +
"6,2.2,5,1.5,virginica\n" +
"6.9,3.2,5.7,2.3,virginica\n" +
"5.6,2.8,4.9,2,virginica\n" +
"7.7,2.8,6.7,2,virginica\n" +
"6.3,2.7,4.9,1.8,virginica\n" +
"6.7,3.3,5.7,2.1,virginica\n" +
"7.2,3.2,6,1.8,virginica\n" +
"6.2,2.8,4.8,1.8,virginica\n" +
"6.1,3,4.9,1.8,virginica\n" +
"6.4,2.8,5.6,2.1,virginica\n" +
"7.2,3,5.8,1.6,virginica\n" +
"7.4,2.8,6.1,1.9,virginica\n" +
"7.9,3.8,6.4,2,virginica\n" +
"6.4,2.8,5.6,2.2,virginica\n" +
"6.3,2.8,5.1,1.5,virginica\n" +
"6.1,2.6,5.6,1.4,virginica\n" +
"7.7,3,6.1,2.3,virginica\n" +
"6.3,3.4,5.6,2.4,virginica\n" +
"6.4,3.1,5.5,1.8,virginica\n" +
"6,3,4.8,1.8,virginica\n" +
"6.9,3.1,5.4,2.1,virginica\n" +
"6.7,3.1,5.6,2.4,virginica\n" +
"6.9,3.1,5.1,2.3,virginica\n" +
"5.8,2.7,5.1,1.9,virginica\n" +
"6.8,3.2,5.9,2.3,virginica\n" +
"6.7,3.3,5.7,2.5,virginica\n" +
"6.7,3,5.2,2.3,virginica\n" +
"6.3,2.5,5,1.9,virginica\n" +
"6.5,3,5.2,2,virginica\n" +
"6.2,3.4,5.4,2.3,virginica\n" +
"5.9,3,5.1,1.8,virginica\n";

List tableRead = rConnection.eval(
"read.csv(textConnection(\"" + inputIris + "\"), header = FALSE)").asList();  // works!

double[] d1 = ((REXPVector) ((RList) tableRead).get(0)).asDoubles();
double[] d2 = ((REXPVector) ((RList) tableRead).get(1)).asDoubles();
double[] d3 = ((REXPVector) ((RList) tableRead).get(2)).asDoubles();
double[] d4 = ((REXPVector) ((RList) tableRead).get(3)).asDoubles();
String[] d5 = ((REXPVector) ((RList) tableRead).get(4)).asStrings();

// create data frame with data.REXP myDf = REXP.createDataFrame(new RList(
new REXP[]
{
new REXPDouble(d1),
new REXPDouble(d2),
new REXPDouble(d3),
new REXPDouble(d4),
new REXPString(d5)
}));

// assign the data to a variable as was suggested.rConnection.assign("boxMVariable", myDf);

// create a string command with that variable name.String boxVariable = "boxM(boxMVariable [,-5], boxMVariable[,5]";

// try to execute the command...
// FAILS with org.rosuda.REngine.Rserve.RserveException: eval failed, request status: R parser: input incomplete>>>> FAILS ! >>>>  REXP theBoxMResult = rConnection.eval(boxVariable);    <<<< FAILS <<<<<

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