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; /** * Implementation of SimpleRegression for geometric growth trends. Only the methods * addData, removeData and predict have been modified with the Exponential function, * all other methods must be adjusted manually!! * * @author JCRichstein * */ public class GeometricTrendRegression extends SimpleRegression { public void addData(double x, double y) { super.addData(x, Math.log(y)); } public void removeData(double x, double y) { super.removeData(x, Math.log(y)); } public void addData(double[][] data) { for (int i = 0; i < data.length; i++) { addData(data[i][0], Math.log(data[i][1])); } } public void removeData(double[][] data) { for (int i = 0; i < data.length && super.getN() > 0; i++) { removeData(data[i][0], Math.log(data[i][1])); } } public double predict(double x) { return Math.exp(super.predict(x)); } }