| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You 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 org.apache.commons.math4.legacy.stat.descriptive.moment; |
| |
| import org.apache.commons.math4.legacy.exception.DimensionMismatchException; |
| import org.junit.Test; |
| import org.junit.Assert; |
| |
| public class VectorialMeanTest { |
| private double[][] points; |
| |
| public VectorialMeanTest() { |
| points = new double[][] { |
| { 1.2, 2.3, 4.5}, |
| {-0.7, 2.3, 5.0}, |
| { 3.1, 0.0, -3.1}, |
| { 6.0, 1.2, 4.2}, |
| {-0.7, 2.3, 5.0} |
| }; |
| } |
| |
| @Test |
| public void testMismatch() { |
| try { |
| new VectorialMean(8).increment(new double[5]); |
| Assert.fail("an exception should have been thrown"); |
| } catch (DimensionMismatchException dme) { |
| Assert.assertEquals(5, dme.getArgument()); |
| Assert.assertEquals(8, dme.getDimension()); |
| } |
| } |
| |
| @Test |
| public void testSimplistic() { |
| VectorialMean stat = new VectorialMean(2); |
| stat.increment(new double[] {-1.0, 1.0}); |
| stat.increment(new double[] { 1.0, -1.0}); |
| double[] mean = stat.getResult(); |
| Assert.assertEquals(0.0, mean[0], 1.0e-12); |
| Assert.assertEquals(0.0, mean[1], 1.0e-12); |
| } |
| |
| @Test |
| public void testBasicStats() { |
| |
| VectorialMean stat = new VectorialMean(points[0].length); |
| for (int i = 0; i < points.length; ++i) { |
| stat.increment(points[i]); |
| } |
| |
| Assert.assertEquals(points.length, stat.getN()); |
| |
| double[] mean = stat.getResult(); |
| double[] refMean = new double[] { 1.78, 1.62, 3.12}; |
| |
| for (int i = 0; i < mean.length; ++i) { |
| Assert.assertEquals(refMean[i], mean[i], 1.0e-12); |
| } |
| |
| } |
| } |