/* * 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.stat; import rapaio.printer.Printable; import rapaio.data.Var; import static rapaio.sys.WS.formatFlex; /** * Compensated weighted mean. * <p> * Created by <a href="mailto:padreati@yahoo.com>Aurelian Tutuianu</a> on 11/25/14. */ public final class WeightedMean implements Printable { public static WeightedMean from(Var var, Var weights) { return new WeightedMean(var, weights); } private final String varName; private final double mean; private int missingCount; private int completeCount; private WeightedMean(final Var var, final Var weights) { this.varName = var.name(); this.mean = compute(var, weights); } private double compute(final Var var, final Var weights) { if (var.rowCount() != weights.rowCount()) { throw new IllegalArgumentException("weights must have the same count as values"); } double total = 0; for (int i = 0; i < var.rowCount(); i++) { if (var.missing(i) || weights.missing(i)) { missingCount++; continue; } completeCount++; total += weights.value(i); } if (completeCount == 0 || total == 0) { return Double.NaN; } double sum = 0; for (int i = 0; i < var.rowCount(); i++) { if (var.missing(i) || weights.missing(i)) continue; sum += weights.value(i) * var.value(i); } double avg = sum / total; double residual = 0; for (int i = 0; i < var.rowCount(); i++) { if (var.missing(i) || weights.missing(i)) continue; residual += weights.value(i) * (var.value(i) - avg); } return avg + residual / total; } public double value() { return mean; } @Override public String summary() { StringBuilder sb = new StringBuilder(); sb.append(String.format("\n > weightedMean[%s]\n", varName)); sb.append(String.format("total rows: %d (complete: %d, missing: %d)\n", completeCount + missingCount, completeCount, missingCount)); sb.append(String.format("weightedMean: %s\n", formatFlex(mean))); return sb.toString(); } }