Java tutorial
/******************************************************************************* * Copyright 2012 the original author or authors. * * 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 emlab.util; import org.apache.commons.math.stat.regression.SimpleRegression; public class TrendEstimator { public static double[] estimateLinearTrend(double[][] input, double[] predictionYears) { ; //Get logarithm of second trend SimpleRegression sr = new SimpleRegression(); sr.addData(input); double result[] = new double[predictionYears.length]; for (int i = 0; i < result.length; i++) { result[i] = sr.predict(predictionYears[i]); } return result; } public static double[] estimateGeometricTrend(double[][] input, double[] predictionYears) { //Get logarithm of second trend for (int i = 0; i < input.length; i++) { input[i][1] = Math.log(input[i][1]); } //input[1]=log; SimpleRegression sr = new SimpleRegression(); sr.addData(input); double result[] = new double[predictionYears.length]; for (int i = 0; i < result.length; i++) { result[i] = Math.exp(sr.predict(predictionYears[i])); } return result; } }