1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2009 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 System.Collections.Generic;
|
---|
24 | using System.Linq;
|
---|
25 | using System.Text;
|
---|
26 | using HeuristicLab.Core;
|
---|
27 | using HeuristicLab.Data;
|
---|
28 |
|
---|
29 | namespace HeuristicLab.StatisticalAnalysis {
|
---|
30 | public class SimpleStatisticsCalculator : OperatorBase {
|
---|
31 |
|
---|
32 | public override string Description {
|
---|
33 | get { return @"Takes a DoubleArrayData, IntArrayData, ItemList (containing IntData or DoubleData), ItemList<IntData>, or ItemList<DoubleData> and calculates mean, median, standard deviation, sum, minimum, and maximum."; }
|
---|
34 | }
|
---|
35 |
|
---|
36 | public SimpleStatisticsCalculator()
|
---|
37 | : base() {
|
---|
38 | AddVariableInfo(new VariableInfo("Samples", "The array or ItemList containing the samples", typeof(IItem), VariableKind.In));
|
---|
39 | AddVariableInfo(new VariableInfo("Mean", "The mean of the samples", typeof(DoubleData), VariableKind.New | VariableKind.Out));
|
---|
40 | AddVariableInfo(new VariableInfo("Median", "The median of the samples", typeof(DoubleData), VariableKind.New | VariableKind.Out));
|
---|
41 | AddVariableInfo(new VariableInfo("StdDev", "The standard deviation of the samples", typeof(DoubleData), VariableKind.New | VariableKind.Out));
|
---|
42 | AddVariableInfo(new VariableInfo("Sum", "The sum of the samples", typeof(DoubleData), VariableKind.New | VariableKind.Out));
|
---|
43 | AddVariableInfo(new VariableInfo("Minimum", "The smallest of the samples", typeof(DoubleData), VariableKind.New | VariableKind.Out));
|
---|
44 | AddVariableInfo(new VariableInfo("Maximum", "The largest of the samples", typeof(DoubleData), VariableKind.New | VariableKind.Out));
|
---|
45 | }
|
---|
46 |
|
---|
47 | public override IOperation Apply(IScope scope) {
|
---|
48 | IItem data = GetVariableValue<IItem>("Samples", scope, false);
|
---|
49 | double[] samples; // put the samples into a double array
|
---|
50 | #region fill samples with data
|
---|
51 | // find out which type it actually is
|
---|
52 | Type t = data.GetType();
|
---|
53 | if (t.Equals(typeof(DoubleArrayData))) {
|
---|
54 | DoubleArrayData dAD = (DoubleArrayData)data;
|
---|
55 | samples = new double[dAD.Data.Length];
|
---|
56 | for (int i = 0; i < samples.Length; i++)
|
---|
57 | samples[i] = dAD.Data[i];
|
---|
58 | } else if (t.Equals(typeof(IntArrayData))) {
|
---|
59 | IntArrayData iAD = (IntArrayData)data;
|
---|
60 | samples = new double[iAD.Data.Length];
|
---|
61 | for (int i = 0; i < samples.Length; i++)
|
---|
62 | samples[i] = (double)iAD.Data[i];
|
---|
63 | } else if (t.Equals(typeof(ItemList<DoubleData>))) {
|
---|
64 | ItemList<DoubleData> iLDD = (ItemList<DoubleData>)data;
|
---|
65 | samples = new double[iLDD.Count];
|
---|
66 | for (int i = 0; i < samples.Length; i++)
|
---|
67 | samples[i] = iLDD[i].Data;
|
---|
68 | } else if (t.Equals(typeof(ItemList<IntData>))) {
|
---|
69 | ItemList<IntData> iLID = (ItemList<IntData>)data;
|
---|
70 | samples = new double[iLID.Count];
|
---|
71 | for (int i = 0; i < samples.Length; i++)
|
---|
72 | samples[i] = iLID[i].Data;
|
---|
73 | } else if (t.Equals(typeof(ItemList))) {
|
---|
74 | ItemList iL = (ItemList)data;
|
---|
75 | samples = new double[iL.Count];
|
---|
76 | for (int i = 0; i < samples.Length; i++) {
|
---|
77 | if (iL[i] is DoubleData) samples[i] = ((DoubleData)(iL[i])).Data;
|
---|
78 | else if (iL[i] is IntData) samples[i] = (double)((IntData)(iL[i])).Data;
|
---|
79 | else throw new ArgumentException("ERROR in SimpleStatisticsCalculator: The ItemList does not contain DoubleData or IntData");
|
---|
80 | }
|
---|
81 | } else throw new ArgumentException("ERROR in SimpleStatisticsCalculator: Samples are not in a recognized data format");
|
---|
82 | #endregion
|
---|
83 |
|
---|
84 | Array.Sort<double>(samples);
|
---|
85 | int len = samples.Length;
|
---|
86 | if (len <= 1) throw new ArgumentException("ERROR in SimpleStatisticsCalculator: Sample size is less or equal than 1");
|
---|
87 | double mean = 0.0;
|
---|
88 | double median = ((len % 2 == 0) ? ((samples[len / 2 - 1] + samples[len / 2]) / 2.0) : (samples[len / 2]));
|
---|
89 | double stdDev = 0.0;
|
---|
90 | double sum = 0.0;
|
---|
91 | double min = samples[0];
|
---|
92 | double max = samples[samples.Length - 1];
|
---|
93 | for (int i = 0; i < samples.Length; i++) {
|
---|
94 | sum += samples[i];
|
---|
95 | }
|
---|
96 | mean = sum / (double)len;
|
---|
97 | for (int i = 0; i < samples.Length; i++) {
|
---|
98 | stdDev = Math.Pow(mean - samples[i], 2);
|
---|
99 | }
|
---|
100 | stdDev = Math.Sqrt(stdDev / (double)(len - 1));
|
---|
101 |
|
---|
102 | #region output variables
|
---|
103 | if (GetVariableInfo("Mean").Local) {
|
---|
104 | IVariable var = GetVariable(GetVariableInfo("Mean").ActualName);
|
---|
105 | if (var == null) AddVariable(new Variable(GetVariableInfo("Mean").ActualName, new DoubleData(mean)));
|
---|
106 | else (var.Value as DoubleData).Data = mean;
|
---|
107 | } else {
|
---|
108 | string name = scope.TranslateName("Mean");
|
---|
109 | IVariable var = scope.GetVariable(name);
|
---|
110 | if (var == null) scope.AddVariable(new Variable(name, new DoubleData(mean)));
|
---|
111 | else (var.Value as DoubleData).Data = mean;
|
---|
112 | }
|
---|
113 | if (GetVariableInfo("Median").Local) {
|
---|
114 | IVariable var = GetVariable(GetVariableInfo("Median").ActualName);
|
---|
115 | if (var == null) AddVariable(new Variable(GetVariableInfo("Median").ActualName, new DoubleData(median)));
|
---|
116 | else (var.Value as DoubleData).Data = median;
|
---|
117 | } else {
|
---|
118 | string name = scope.TranslateName("Median");
|
---|
119 | IVariable var = scope.GetVariable(name);
|
---|
120 | if (var == null) scope.AddVariable(new Variable(name, new DoubleData(median)));
|
---|
121 | else (var.Value as DoubleData).Data = median;
|
---|
122 | }
|
---|
123 | if (GetVariableInfo("StdDev").Local) {
|
---|
124 | IVariable var = GetVariable(GetVariableInfo("StdDev").ActualName);
|
---|
125 | if (var == null) AddVariable(new Variable(GetVariableInfo("StdDev").ActualName, new DoubleData(stdDev)));
|
---|
126 | else (var.Value as DoubleData).Data = stdDev;
|
---|
127 | } else {
|
---|
128 | string name = scope.TranslateName("StdDev");
|
---|
129 | IVariable var = scope.GetVariable(name);
|
---|
130 | if (var == null) scope.AddVariable(new Variable(name, new DoubleData(stdDev)));
|
---|
131 | else (var.Value as DoubleData).Data = stdDev;
|
---|
132 | }
|
---|
133 | if (GetVariableInfo("Sum").Local) {
|
---|
134 | IVariable var = GetVariable(GetVariableInfo("Sum").ActualName);
|
---|
135 | if (var == null) AddVariable(new Variable(GetVariableInfo("Sum").ActualName, new DoubleData(sum)));
|
---|
136 | else (var.Value as DoubleData).Data = sum;
|
---|
137 | } else {
|
---|
138 | string name = scope.TranslateName("Sum");
|
---|
139 | IVariable var = scope.GetVariable(name);
|
---|
140 | if (var == null) scope.AddVariable(new Variable(name, new DoubleData(sum)));
|
---|
141 | else (var.Value as DoubleData).Data = sum;
|
---|
142 | }
|
---|
143 | if (GetVariableInfo("Minimum").Local) {
|
---|
144 | IVariable var = GetVariable(GetVariableInfo("Minimum").ActualName);
|
---|
145 | if (var == null) AddVariable(new Variable(GetVariableInfo("Minimum").ActualName, new DoubleData(min)));
|
---|
146 | else (var.Value as DoubleData).Data = min;
|
---|
147 | } else {
|
---|
148 | string name = scope.TranslateName("Minimum");
|
---|
149 | IVariable var = scope.GetVariable(name);
|
---|
150 | if (var == null) scope.AddVariable(new Variable(name, new DoubleData(min)));
|
---|
151 | else (var.Value as DoubleData).Data = min;
|
---|
152 | }
|
---|
153 | if (GetVariableInfo("Maximum").Local) {
|
---|
154 | IVariable var = GetVariable(GetVariableInfo("Maximum").ActualName);
|
---|
155 | if (var == null) AddVariable(new Variable(GetVariableInfo("Maximum").ActualName, new DoubleData(max)));
|
---|
156 | else (var.Value as DoubleData).Data = max;
|
---|
157 | } else {
|
---|
158 | string name = scope.TranslateName("Maximum");
|
---|
159 | IVariable var = scope.GetVariable(name);
|
---|
160 | if (var == null) scope.AddVariable(new Variable(name, new DoubleData(max)));
|
---|
161 | else (var.Value as DoubleData).Data = max;
|
---|
162 | }
|
---|
163 | #endregion
|
---|
164 | return null;
|
---|
165 | }
|
---|
166 | }
|
---|
167 | }
|
---|