Examples of java.io.DataOutputStream.writeDouble()

java.io.DataOutputStream.writeDouble()
Writes a 64-bit double to this output stream. The resulting output is the 8 bytes resulting from calling Double.doubleToLongBits(). @param val the double to be written. @throws IOException If an error occurs attempting to write to this DataOutputStream. @see DataInput#readDouble()

          dos.writeDouble(curClustInfo[j].statClust[k].dStdEr);
          dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
          dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
          dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
          dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);
          dos.writeDouble(curClustInfo[j].statClust[k].dRange);
          dos.writeDouble(curClustInfo[j].statClust[k].dMinOs);
          dos.writeDouble(curClustInfo[j].statClust[k].dMaxOs);
        }
      }

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          dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
          dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
          dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
          dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);
          dos.writeDouble(curClustInfo[j].statClust[k].dRange);
          dos.writeDouble(curClustInfo[j].statClust[k].dMinOs);
          dos.writeDouble(curClustInfo[j].statClust[k].dMaxOs);
        }
      }


      //Write clustering assignment

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          dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
          dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
          dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);
          dos.writeDouble(curClustInfo[j].statClust[k].dRange);
          dos.writeDouble(curClustInfo[j].statClust[k].dMinOs);
          dos.writeDouble(curClustInfo[j].statClust[k].dMaxOs);
        }
      }


      //Write clustering assignment
      for (k = 0; k < clustAssign[i].length; k++) {

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    DataOutputStream dos = new DataOutputStream(zos);


    for (i = 0; i < clustering.getNumCluster(); i++) {
      curInfo = (ClusteringInfosFuzzy) clustering.getClusteringInfos(i);
      dos.writeInt(curInfo.getNumClusters());
      dos.writeDouble(clustering.getEntropy()[i]);
      dos.writeDouble(curInfo.getError());
      if (curInfo.getError() != -1) {
        curClustInfo = curInfo.infoCluster;
        //Write clusters infos
        for (j = 0; j < curInfo.getNumClusters(); j++) {

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    for (i = 0; i < clustering.getNumCluster(); i++) {
      curInfo = (ClusteringInfosFuzzy) clustering.getClusteringInfos(i);
      dos.writeInt(curInfo.getNumClusters());
      dos.writeDouble(clustering.getEntropy()[i]);
      dos.writeDouble(curInfo.getError());
      if (curInfo.getError() != -1) {
        curClustInfo = curInfo.infoCluster;
        //Write clusters infos
        for (j = 0; j < curInfo.getNumClusters(); j++) {
          dos.writeInt(curInfo.numElem[j]);

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        curClustInfo = curInfo.infoCluster;
        //Write clusters infos
        for (j = 0; j < curInfo.getNumClusters(); j++) {
          dos.writeInt(curInfo.numElem[j]);
          for (k = 0; k < model.getMatrix().getNumVariables(); k++) {
            dos.writeDouble(curClustInfo[j].percVar[k]);
            dos.writeInt(curClustInfo[j].statClust[k].iNotZr);
            dos.writeDouble(curClustInfo[j].statClust[k].dMedia);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdEr);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
            dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);

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        for (j = 0; j < curInfo.getNumClusters(); j++) {
          dos.writeInt(curInfo.numElem[j]);
          for (k = 0; k < model.getMatrix().getNumVariables(); k++) {
            dos.writeDouble(curClustInfo[j].percVar[k]);
            dos.writeInt(curClustInfo[j].statClust[k].iNotZr);
            dos.writeDouble(curClustInfo[j].statClust[k].dMedia);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdEr);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
            dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
            dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
            dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);

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          dos.writeInt(curInfo.numElem[j]);
          for (k = 0; k < model.getMatrix().getNumVariables(); k++) {
            dos.writeDouble(curClustInfo[j].percVar[k]);
            dos.writeInt(curClustInfo[j].statClust[k].iNotZr);
            dos.writeDouble(curClustInfo[j].statClust[k].dMedia);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdEr);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
            dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
            dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
            dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);
            dos.writeDouble(curClustInfo[j].statClust[k].dRange);

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          for (k = 0; k < model.getMatrix().getNumVariables(); k++) {
            dos.writeDouble(curClustInfo[j].percVar[k]);
            dos.writeInt(curClustInfo[j].statClust[k].iNotZr);
            dos.writeDouble(curClustInfo[j].statClust[k].dMedia);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdEr);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
            dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
            dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
            dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);
            dos.writeDouble(curClustInfo[j].statClust[k].dRange);
            dos.writeDouble(curClustInfo[j].statClust[k].dMinOs);

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            dos.writeDouble(curClustInfo[j].percVar[k]);
            dos.writeInt(curClustInfo[j].statClust[k].iNotZr);
            dos.writeDouble(curClustInfo[j].statClust[k].dMedia);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdEr);
            dos.writeDouble(curClustInfo[j].statClust[k].dStdDv);
            dos.writeDouble(curClustInfo[j].statClust[k].dVarnz);
            dos.writeDouble(curClustInfo[j].statClust[k].dKurto);
            dos.writeDouble(curClustInfo[j].statClust[k].dSkewn);
            dos.writeDouble(curClustInfo[j].statClust[k].dRange);
            dos.writeDouble(curClustInfo[j].statClust[k].dMinOs);
            dos.writeDouble(curClustInfo[j].statClust[k].dMaxOs);

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