@Override
public void processingFinished() {
StandardDeviation standardDeviation = new StandardDeviation();
List<Float> pitchValuesList = getPitchValues();
double[] pitchValues = new double[pitchValuesList.size()];
for (int i = 0; i < pitchValues.length; i++) {
pitchValues[i] = pitchValuesList.get(i);
}
setFeatureValues(new float[] {(float) standardDeviation.evaluate(pitchValues)});
reset();
}
@Test
public void testResults() throws InterruptedException {
TaskUtil.run(d_model.getActivityTask());
assertTrue(d_model.isReady());
final InconsistencyParameter w =
new InconsistencyParameter(Arrays.asList(d_ta, d_tb, d_tc, d_ta));
assertEquals(Collections.singletonList(w), d_model.getInconsistencyFactors());
double[] dAB =
ResultsUtil.getSamples(d_model.getResults(), d_model.getRelativeEffect(d_ta, d_tb), 3);
double[] dBC =
ResultsUtil.getSamples(d_model.getResults(), d_model.getRelativeEffect(d_tb, d_tc), 3);
double[] wABC = ResultsUtil.getSamples(d_model.getResults(), w, 3);
// Values below obtained via a run through regular JAGS with 30k/20k
// iterations. Taking .15 sd as acceptable margin (same as JAGS does
// for testing against WinBUGS results).
double mAB = 0.4713884;
double sAB = 0.4838365;
assertEquals(mAB, d_mean.evaluate(dAB), FACTOR * sAB);
assertEquals(sAB, d_stdDev.evaluate(dAB), FACTOR * sAB);
double mBC = -0.4645146;
double sBC = 0.6111192;
assertEquals(mBC, d_mean.evaluate(dBC), FACTOR * sBC);
assertEquals(sBC, d_stdDev.evaluate(dBC), FACTOR * sBC);
double mABC = -0.1466253;
double sABC = 0.4568596;
assertEquals(mABC, d_mean.evaluate(wABC), FACTOR * sABC);
assertEquals(sABC, d_stdDev.evaluate(wABC), FACTOR * sABC);
double[] dBA =
ResultsUtil.getSamples(d_model.getResults(), d_model.getRelativeEffect(d_tb, d_ta), 3);
assertEquals(-mAB, d_mean.evaluate(dBA), FACTOR * sAB);
assertEquals(sAB, d_stdDev.evaluate(dBA), FACTOR * sAB);
double[] dAC =
ResultsUtil.getSamples(d_model.getResults(), d_model.getRelativeEffect(d_ta, d_tc), 3);
double mAC = 0.1534991;
double sAC = 0.5514409;
assertEquals(mAC, d_mean.evaluate(dAC), FACTOR * sAC);
assertEquals(sAC, d_stdDev.evaluate(dAC), FACTOR * sAC);
}
public static double standardDeviation(Double[] residuals) {
double[] primitiveResiduals = ArrayUtils.toPrimitive(residuals);
StandardDeviation standardDeviation = new StandardDeviation();
return standardDeviation.evaluate(primitiveResiduals);
}
public static Double stdDev(double[] values) {
StandardDeviation stdevCalculator = new StandardDeviation();
return stdevCalculator.evaluate(values);
}
/**
* Mean/sigma linking coefficients are computed from the mean and standard deviation of item
* difficulty. The summary statistics are computed in a storeless manner. This method allows for
* the incremental update to item difficulty summary statistics by combining them with other
* summary statistics.
*
* @param mean item difficulty mean.
* @param sd item difficulty standard deviation.
*/
public void incrementMeanSigma(Mean mean, StandardDeviation sd) {
mean.increment(difficulty);
sd.increment(difficulty);
}
