newVector.addElement(new Option( "Set when data is not to be randomized.", "R",0,"-R"));
  public Enumeration listOptions() {    Vector newVector = new Vector(4);    newVector.addElement(new Option(	     "\tThe percentage of instances to use for training.\n"	      +"\t(default 66)", 	     "P", 1, 	     "-P <percent>"));    newVector.addElement(new Option(	     "Save raw split evaluator output.",	     "D",0,"-D"));    newVector.addElement(new Option(	     "\tThe filename where raw output will be stored.\n"	     +"\tIf a directory name is specified then then individual\n"	     +"\toutputs will be gzipped, otherwise all output will be\n"	     +"\tzipped to the named file. Use in conjuction with -D."	     +"\t(default splitEvalutorOut.zip)", 	     "O", 1, 	     "-O <file/directory name/path>"));    newVector.addElement(new Option(	     "\tThe full class name of a SplitEvaluator.\n"	      +"\teg: weka.experiment.ClassifierSplitEvaluator", 	     "W", 1, 	     "-W <class name>"));    if ((m_SplitEvaluator != null) &&	(m_SplitEvaluator instanceof OptionHandler)) {      newVector.addElement(new Option(	     "",	     "", 0, "\nOptions specific to split evaluator "	     + m_SplitEvaluator.getClass().getName() + ":"));      Enumeration enum = ((OptionHandler)m_SplitEvaluator).listOptions();      while (enum.hasMoreElements()) {	newVector.addElement(enum.nextElement());      }    }