Java tutorial
/** * Copyright (C) 2009 - present by OpenGamma Inc. and the OpenGamma group of companies * * Please see distribution for license. */ package com.opengamma.analytics.math.statistics.descriptive.robust; import java.util.Arrays; import org.apache.commons.lang.Validate; import com.opengamma.analytics.math.function.Function1D; import com.opengamma.analytics.math.statistics.descriptive.MeanCalculator; /** * */ public class WinsorizedMeanCalculator extends Function1D<double[], Double> { private static final Function1D<double[], Double> MEAN_CALCULATOR = new MeanCalculator(); private final double _gamma; public WinsorizedMeanCalculator(final double gamma) { Validate.isTrue(gamma > 0 && gamma < 1, "Gamma must be between 0 and 1, have {}", gamma); _gamma = gamma > 0.5 ? 1 - gamma : gamma; } @Override public Double evaluate(final double[] x) { Validate.notNull(x, "x was null"); final int length = x.length; Validate.isTrue(length > 0, "x was empty"); final double[] winsorized = Arrays.copyOf(x, length); Arrays.sort(winsorized); final int value = (int) Math.round(length * _gamma); final double x1 = winsorized[value]; final double x2 = winsorized[length - value - 1]; for (int i = 0; i < value; i++) { winsorized[i] = x1; winsorized[length - 1 - i] = x2; } return MEAN_CALCULATOR.evaluate(winsorized); } }