MathUtil { public static double mad(final double[] data) { double mad = 0; if (data.length > 0) { double median = median(data); double[] deviationSum = new double[data.length]; for (int i = 0; i < data.length; i++) { deviationSum[i] = Math.abs(median - data[i]); } mad = median(deviationSum); } return mad; }  static double sum(final List<? extends Number> list); static double[] listToArray(final List<? extends Number> list); static double median(final List<Double> list); static double median(final double[] list); static DescriptiveStatistics getStatistics(final List<Double> list); static DescriptiveStatistics getStatistics(final double[] list); static double mean(final List<Double> list); static double variance(final List<Double> list); static double stDev(final List<Double> list); static double mad(final double[] data); static double iqr(final double[] data); static int countNonZeroBeginning(final double[] data); static int countShortestRow(final double[][] data); static double[] trimZeroTail(final double[] data); static double[] getLoessParameterEstimates(final double[] y); static SimpleRegression createLinearRegression(final double[] x,
			final double[] y); static OLSMultipleLinearRegression createLinearRegression(
			final double[][] x, final double[] y); static SimpleRegression createWeigthedLinearRegression(
			final double[] x, final double[] y, final double[] weigths); static double[] getRobustLoessParameterEstimates(final double[] y); static double[] getTricubeWeigts(final int n); static double[] getTricubeBisquareWeigts(final double[] residuals); static double[] abs(final double[] data);  }
@Test public void testMad() { assertEquals(MAD, MathUtil.mad(DATA3), 0); }