/** * {@inheritDoc} */ @Override public StandardDeviation copy() { StandardDeviation result = new StandardDeviation(); copy(this, result); return result; }
/** * {@inheritDoc} */ @Override public StandardDeviation copy() { StandardDeviation result = new StandardDeviation(); copy(this, result); return result; }
/** * Calculates the standard deviation of all attribute values. * * @param attributeValues attribute values * @return the standard deviation */ public Double calculateStandardDeviation( Comparable[] attributeValues, Double mean ) { StandardDeviation standardDeviation = new StandardDeviation(); Double evaluatedStdDev = standardDeviation.evaluate( convertToPrimitives( attributeValues ), mean ); log.debug( "standardDeviation( " + mean + " ) = " + evaluatedStdDev ); return evaluatedStdDev; }
int k = 0; Mean mean = new Mean(); StandardDeviation stdev = new StandardDeviation();
int k = 0; Mean mean = new Mean(); StandardDeviation stdev = new StandardDeviation();
double v = (new StandardDeviation()).evaluate(values); value = Double.toString(v); } else {
/** * Computes the standard deviation. * * @param meter * the meter of the mean * @return the standard deviation */ public final double getStandardDeviation(final AbstractMeter meter) { checkIfMeterExists(meter); final AbstractUnivariateStatistic stdDev = new StandardDeviation(); final CollectionDoubleCollection doubleColl = new CollectionDoubleCollection(this.meterResults.get(meter)); return stdDev.evaluate(doubleColl.toArray(), 0, doubleColl.toArray().length); }
StandardDeviation std = new StandardDeviation(); double SIGM = std.evaluate(conv, MU);
protected void compute() { Percentile percentile = new Percentile(); double[] rawDataAsArray = clearRawDataAndGetAsArray(); if (null != rawDataAsArray && rawDataAsArray.length != 0) { sampleSize = rawDataAsArray.length; percentile.setData(rawDataAsArray); percentile_99_5 = percentile.evaluate(99.5); percentile_99 = percentile.evaluate(99); percentile_90 = percentile.evaluate(90); median = Math.max(1d, percentile.evaluate(50)); max = StatUtils.max(rawDataAsArray); mean = new Mean().evaluate(rawDataAsArray); stddev = new StandardDeviation().evaluate(rawDataAsArray); } computedData.set(getCopyOfComputedData()); }
StandardDeviation std = new StandardDeviation();
StandardDeviation std = new StandardDeviation();
config.getMinGradeLevel(), config.getMaxGradeLevel()); StandardDeviation sd = new StandardDeviation(false); double stddev = sd.evaluate(new double[] { config.getMinGradeLevel(), config.getMaxGradeLevel() }); double dev = 0.0;
values[i++] = rc.doubleValue(); StandardDeviation stdDev = new StandardDeviation(); Mean mean = new Mean(); double std = stdDev.evaluate(values);