Examples of weka.core.Instances.sort()

weka.core.Instances.sort()
Sorts the instances based on an attribute. For numeric attributes, instances are sorted in ascending order. For nominal attributes, instances are sorted based on the attribute label ordering specified in the header. Instances with missing values for the attribute are placed at the end of the dataset. @param attIndex the attribute's index (index starts with 0)

    //compute possible split points
    double[] splitPoints = new double[m_numInstances];
    int numSplitPoints = 0;


    Instances sortedData = new Instances(m_data);
    sortedData.sort(sortedData.attribute(m_attIndex));


    double last, current;


    last = sortedData.instance(0).value(m_attIndex);

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    // Copy data so that it can be sorted
    Instances data = new Instances(getInputFormat());


    // Sort input data
    data.sort(index);


    // Compute weight of instances without missing values
    double sumOfWeights = 0;
    for (int i = 0; i < data.numInstances(); i++) {
      if (data.instance(i).isMissing(index)) {

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      maxInfoGain = 0;
      value = 0;  
      
      double fstCover=0, sndCover=0, fstAccu=0, sndAccu=0;
      
      data.sort(att);
      // Find the las instance without missing value 
      for(int x=0; x<data.numInstances(); x++){
  Instance inst = data.instance(x);
  if(inst.isMissing(att)){
    total = x;

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    // Copy data so that it can be sorted
    Instances data = new Instances(getInputFormat());


    // Sort input data
    data.sort(index);


    // Compute weight of instances without missing values
    double sumOfWeights = 0;
    for (int i = 0; i < data.numInstances(); i++) {
      if (data.instance(i).isMissing(index)) {

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