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; import java.util.Arrays; import org.apache.commons.lang.Validate; import com.opengamma.analytics.math.function.Function1D; /** * For a series of data $x_1, x_2, \dots, x_n$, the percentile is the value $x$ * below which a certain percentage of the data fall. */ public class PercentileCalculator extends Function1D<double[], Double> { private double _percentile; /** * @param percentile The percentile, must be between 0 and 1 */ public PercentileCalculator(final double percentile) { Validate.isTrue(percentile > 0 && percentile < 1, "Percentile must be between 0 and 1"); _percentile = percentile; } /** * @param percentile The percentile, must be between 0 and 1 */ public void setPercentile(final double percentile) { Validate.isTrue(percentile > 0 && percentile < 1, "Percentile must be between 0 and 1"); _percentile = percentile; } /** * @param x The data, not null or empty * @return The percentile */ @Override public Double evaluate(final double[] x) { Validate.notNull(x, "x"); Validate.isTrue(x.length > 0, "x cannot be empty"); final int length = x.length; final double[] copy = Arrays.copyOf(x, length); Arrays.sort(copy); final double n = _percentile * (length - 1) + 1; if (Math.round(n) == 1) { return copy[0]; } if (Math.round(n) == length) { return copy[length - 1]; } final double d = n % 1; final int k = (int) Math.round(n - d); return copy[k - 1] + d * (copy[k] - copy[k - 1]); } }