1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
4 | *
|
---|
5 | * This file is part of HeuristicLab.
|
---|
6 | *
|
---|
7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
8 | * it under the terms of the GNU General Public License as published by
|
---|
9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
10 | * (at your option) any later version.
|
---|
11 | *
|
---|
12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
15 | * GNU General Public License for more details.
|
---|
16 | *
|
---|
17 | * You should have received a copy of the GNU General Public License
|
---|
18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
19 | */
|
---|
20 | #endregion
|
---|
21 |
|
---|
22 | using System;
|
---|
23 | using HeuristicLab.Analysis.Statistics;
|
---|
24 | using Microsoft.VisualStudio.TestTools.UnitTesting;
|
---|
25 |
|
---|
26 | namespace HeuristicLab.Analysis.Tests {
|
---|
27 | [TestClass]
|
---|
28 | public class ConfidenceIntervalsTests {
|
---|
29 | private readonly double[] x = new double[] { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 1.5, 0.3 };
|
---|
30 | private readonly double[] y = new double[] { -0.4071000, 1.3207543, 0.8364860, -0.6574363, 0.6215807,
|
---|
31 | 1.1562429, -0.7299977, -0.1013315, -1.5221018, -0.9375169, -0.6257027, 1.1698417, -0.9868505, 0.6890087,
|
---|
32 | -0.1643505, -0.4920212, -0.6958091, 1.8849663, 0.8117723, 0.9806149};
|
---|
33 | private readonly double[] z = new double[] { 45, 55, 67, 45, 68, 79, 98, 87, 84, 82 };
|
---|
34 |
|
---|
35 | [TestMethod]
|
---|
36 | [TestCategory("Analysis.Statistics")]
|
---|
37 | [TestProperty("Time", "short")]
|
---|
38 | public void ConfidenceIntervalsTest1() {
|
---|
39 | var result = z.ConfidenceIntervals(0.98);
|
---|
40 | Assert.AreEqual(54.8, Math.Round(result.Item1, 1));
|
---|
41 | Assert.AreEqual(87.2, Math.Round(result.Item2, 1));
|
---|
42 | }
|
---|
43 |
|
---|
44 | [TestMethod]
|
---|
45 | [TestCategory("Analysis.Statistics")]
|
---|
46 | [TestProperty("Time", "short")]
|
---|
47 | public void ConfidenceIntervalsTest2() {
|
---|
48 | //comparison with R's t.test(..)
|
---|
49 | var result = x.ConfidenceIntervals(0.95);
|
---|
50 | Assert.AreEqual(1.880506, Math.Round(result.Item1, 6));
|
---|
51 | Assert.AreEqual(5.679494, Math.Round(result.Item2, 6));
|
---|
52 | }
|
---|
53 |
|
---|
54 | [TestMethod]
|
---|
55 | [TestCategory("Analysis.Statistics")]
|
---|
56 | [TestProperty("Time", "short")]
|
---|
57 | public void ConfidenceIntervalsTest3() {
|
---|
58 | //comparison with R's t.test(..)
|
---|
59 | var result = y.ConfidenceIntervals(0.1);
|
---|
60 | Assert.AreEqual(0.0802945, Math.Round(result.Item1, 7));
|
---|
61 | Assert.AreEqual(0.1348105, Math.Round(result.Item2, 7));
|
---|
62 | }
|
---|
63 |
|
---|
64 | [TestMethod]
|
---|
65 | [TestCategory("Analysis.Statistics")]
|
---|
66 | [TestProperty("Time", "short")]
|
---|
67 | public void ConfidenceIntervalsTest4() {
|
---|
68 | //comparison with R's t.test(..)
|
---|
69 | var result = y.ConfidenceIntervals(0.99);
|
---|
70 | Assert.AreEqual(-0.5047921, Math.Round(result.Item1, 7));
|
---|
71 | Assert.AreEqual(0.7198970, Math.Round(result.Item2, 7));
|
---|
72 | }
|
---|
73 | }
|
---|
74 | }
|
---|