예제 #1
0
 // Sorts labels from the mapping.  We may get rid of this later perhaps.
 String[] revisedLabels(HashMap map) {
   // Sort labels
   String[] labels = new String[map.size()];
   labels = (String[]) (map.keySet().toArray(labels));
   Arrays.sort(labels);
   return labels;
 }
 public XYSeries getXYSeries(String rowname, long factor) {
   XYSeries mydataset = new XYSeries(rowname);
   for (Integer key : ysum.keySet()) {
     Double value = ysum.get(key) / (double) count.get(key);
     Double point = (double) xsum.get(key) / (double) count.get(key);
     mydataset.add(point / factor, value);
   }
   return mydataset;
 }
 public YIntervalSeries getYIntervalSeries(String rowname, long factor) {
   YIntervalSeries mydataset = new YIntervalSeries(rowname);
   double sdcount = 0;
   double total = 0;
   Vector<Double> totalvalues = new Vector<Double>();
   double avgtotal = 0;
   double minus = 0;
   double plus = 0;
   double zero = 0;
   for (Integer key : ysum.keySet()) {
     Double value = ysum.get(key) / (double) count.get(key);
     Double point = (double) xsum.get(key) / (double) count.get(key);
     Vector<Double> listofvalues = values.get(key);
     double sumofdiff = 0.0;
     for (Double onevalue : listofvalues) {
       sumofdiff += Math.pow(onevalue - value, 2);
       sdcount++;
       total += Math.pow(onevalue, 2);
       avgtotal += onevalue;
       totalvalues.add(onevalue);
       if (onevalue == 1) {
         plus++;
       }
       ;
       if (onevalue == -1) {
         minus++;
       }
       ;
       if (onevalue == 0) {
         zero++;
       }
       ;
     }
     double sd = Math.sqrt(sumofdiff / count.get(key));
     // mydataset.add(point/factor, value,value+sd,value-sd);
     // mydataset.add(point/factor, value,value,value);
     mydataset.add(
         point / factor,
         value,
         value + 1.96 * (sd / Math.sqrt(count.get(key))),
         value - 1.96 * (sd / Math.sqrt(count.get(key))));
   }
   double sdtotal = 0;
   double avgsd = total / sdcount;
   double test = 0;
   for (Double onevalue : totalvalues) {
     sdtotal += Math.pow(Math.pow(onevalue, 2) - (total / sdcount), 2);
     test += onevalue;
   }
   // System.out.println(rowname+" mean square: "+avgsd+"
   // +/-95%:"+1.96*Math.sqrt(sdtotal/sdcount)/Math.sqrt(sdcount));
   // System.out.println("total -1:"+minus+" total +1:"+plus+" zero: "+zero
   // +" total:"+sdcount);
   return mydataset;
 }