/* * Apache License * Version 2.0, January 2004 * http://www.apache.org/licenses/ * * Copyright 2013 Aurelian Tutuianu * Copyright 2014 Aurelian Tutuianu * Copyright 2015 Aurelian Tutuianu * Copyright 2016 Aurelian Tutuianu * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * */ package rapaio.core.distributions; /** * Discrete uniform distribution * * @author <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> */ public class DUniform implements Distribution { private static final long serialVersionUID = -6164593855805329051L; private final double a; private final double b; private final double n; public DUniform(int a, int b) { this.a = a; this.b = b; this.n = b - a + 1; } public boolean discrete() { return true; } public int a() { return (int) a; } public int b() { return (int) b; } @Override public String name() { return String.format("DUniform(a=%d,b=%d)", (int) a, (int) b); } @Override public double pdf(double x) { double rint = Math.rint(x); if (!Double.isNaN(x) && !Double.isInfinite(x) && x == rint) { if (x < a || x > b) { return 0; } return 1 / n; } return 0; } @Override public double cdf(double x) { if (x < a) { return 0; } if (x > b) { return 1; } return (Math.floor(x) - a + 1) / n; } @Override public double quantile(double p) { if (p < 0 || p > 1) { throw new IllegalArgumentException("Probability must be interface the range [0,1], not " + p); } if (a == b) { return a; } double v = a + p * n; int vi = (int) v; if (vi == v) return vi - 1; return vi; } @Override public double min() { return a; } @Override public double max() { return b; } @Override public double mean() { return (a + b) / 2; } @Override public double mode() { return Double.NaN; } @Override public double var() { return (n * n - 1) / 12.; } @Override public double skewness() { return 0; } @Override public double kurtosis() { return -6. * (n * n + 1) / (5. * (n * n - 1)); } @Override public double entropy() { return Math.log(n); } }