/**
* actually recalculates the first average (necessary when we change the average settings)
*
* @param d
*/
public void recalculateAverage1() {
// average1=new TimeSeries("av1", FixedMillisecond.class);
average1.delete(0, average1.getItemCount() - 1);
for (int z = 0; z < x1.getItemCount(); z++) {
try {
double v = 0;
// List l1=x1.getItems();
for (int i = z; i < z + av1; i++) {
v += x1.getValue(x1.getItemCount() - (av1 - i)).doubleValue();
}
average1.add(x1.getTimePeriod(z), v / av1);
} catch (Exception e) {
// e.printStackTrace();
// System.out.println(timestamp.toString());
}
}
}
public void calcAverage1(int d, Date timestamp) {
try {
double v = 0;
// List l1=x1.getItems();
for (int i = d; i < d + av1; i++) {
v += x1.getValue(x1.getItemCount() - (av1 - i)).doubleValue();
}
average1.add(new FixedMillisecond(timestamp), v / av1);
} catch (Exception e) {
// e.printStackTrace();
// System.out.println(timestamp.toString());
}
}
/**
* Tests the correct output of a DataSet to a TimeSeries by outputting it, then iterating through
* TimeSeries object checking the correct values were stored/output.
*/
public void testOutput()
throws ClassNotFoundException, NoSuchMethodException, InstantiationException,
IllegalAccessException, InvocationTargetException, InstantiationException {
// Constants used to determine size of test
int NUMBER_OF_TIME_PERIODS = 10;
String TIME_VARIABLE = "t";
// Set up array for expected results
double expectedValue[] = new double[NUMBER_OF_TIME_PERIODS];
// We'll set up periods starting from today
RegularTimePeriod period = new Day();
// Create a test DataSet for output
// - note that only one independent variable (the time variable)
// will be output. This is expected.
DataSet dataSet = new DataSet();
dataSet.setTimeVariable(TIME_VARIABLE);
for (int d = 0; d < NUMBER_OF_TIME_PERIODS; d++) {
double value = (double) d;
DataPoint obs = new Observation(value);
obs.setIndependentValue(TIME_VARIABLE, period.getMiddleMillisecond());
dataSet.add(obs);
period = period.next();
expectedValue[d] = value;
}
assertEquals(
"Checking only one independent variable exists in dataSet",
1,
dataSet.getIndependentVariables().length);
assertEquals(
"Checking dataSet has correct number of entries", NUMBER_OF_TIME_PERIODS, dataSet.size());
// Create TimeSeriesOutputter and use it to output dataSet
TimeSeries timeSeries = new TimeSeries("test");
TimeSeriesOutputter outputter = new TimeSeriesOutputter(timeSeries, period.getClass());
outputter.output(dataSet);
assertEquals(
"Checking number of items in time series",
NUMBER_OF_TIME_PERIODS,
timeSeries.getItemCount());
// Reset period to start checking from today onwards
period = new Day();
for (int d = 0; d < NUMBER_OF_TIME_PERIODS; d++) {
TimeSeriesDataItem dataItem = timeSeries.getDataItem(d);
period = dataItem.getPeriod();
assertNotNull("Checking time period", period);
long timeValue = period.getMiddleMillisecond();
assertTrue(
"Checking time periods match",
(double) timeValue >= period.getFirstMillisecond()
&& (double) timeValue <= period.getLastMillisecond());
assertEquals(
"Checking values for period " + dataItem.getPeriod() + " match",
expectedValue[d],
dataItem.getValue().doubleValue(),
TOLERANCE);
period = period.next();
}
}
