// Returns the counts from the mapping, in the same order as the labels
double[] amounts(HashMap map, String[] revisedLabels) {
// Extract amounts
double[] amounts = new double[map.size()];
for (int i = 0; i < amounts.length; i++)
amounts[i] = ((Double) (map.get(revisedLabels[i]))).doubleValue();
return amounts;
}
// 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 void addValue(long x, double y) {
// calculate the bar in which this value should go
int bar = (int) (x / barsize);
double Y = y;
if (ysum.containsKey(bar)) {
double newyvalue = Y + ysum.get(bar);
long newxvalue = x + xsum.get(bar);
Integer newcount = count.get(bar) + 1;
ysum.put(bar, newyvalue);
xsum.put(bar, newxvalue);
count.put(bar, newcount);
Vector<Double> barvalues = values.get(bar);
barvalues.add(Y);
values.put(bar, barvalues);
} else {
ysum.put(bar, Y);
xsum.put(bar, x);
count.put(bar, 1);
Vector<Double> barvalues = new Vector<Double>();
barvalues.add(Y);
values.put(bar, barvalues);
}
}
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;
}
// Takes objects and produces an object->count mapping
HashMap convertIntoAmountsAndLabels(Object[] objs) {
// Total the amounts
HashMap map = new HashMap();
for (int i = 0; i < objs.length; i++) {
String label = "null";
if (objs[i] != null) label = objs[i].toString();
if (map.containsKey(label))
map.put(label, new Double(((Double) (map.get(label))).doubleValue() + 1));
else map.put(label, new Double(1));
}
return map;
}
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;
}