|
1
|
/**
|
|
2
|
* Copyright (C) 2018 EDIT
|
|
3
|
* European Distributed Institute of Taxonomy
|
|
4
|
* http://www.e-taxonomy.eu
|
|
5
|
*
|
|
6
|
* The contents of this file are subject to the Mozilla Public License Version 1.1
|
|
7
|
* See LICENSE.TXT at the top of this package for the full license terms.
|
|
8
|
*/
|
|
9
|
package eu.etaxonomy.taxeditor.editor.descriptiveDataSet.matrix;
|
|
10
|
|
|
11
|
import java.util.ArrayList;
|
|
12
|
import java.util.Collections;
|
|
13
|
import java.util.List;
|
|
14
|
|
|
15
|
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
|
|
16
|
|
|
17
|
import eu.etaxonomy.cdm.model.description.QuantitativeData;
|
|
18
|
import eu.etaxonomy.cdm.model.description.StatisticalMeasure;
|
|
19
|
|
|
20
|
/**
|
|
21
|
* @author pplitzner
|
|
22
|
* @since Jul 18, 2018
|
|
23
|
*
|
|
24
|
*/
|
|
25
|
public class QuantitativeDataStatistics {
|
|
26
|
|
|
27
|
private List<DescriptiveStatistics> statistics = new ArrayList<>();
|
|
28
|
|
|
29
|
public void addQuantitativeData(QuantitativeData quantitativeData){
|
|
30
|
double[] exactValues = quantitativeData.getStatisticalValues().stream()
|
|
31
|
.filter(value -> value.getType().equals(StatisticalMeasure.EXACT_VALUE()))
|
|
32
|
.mapToDouble(value -> value.getValue()).toArray();
|
|
33
|
//if there are exact values we use those
|
|
34
|
if (exactValues.length > 0) {
|
|
35
|
statistics.add(new DescriptiveStatistics(exactValues));
|
|
36
|
}
|
|
37
|
//otherwise we use the aggregated values (min, max, etc.)
|
|
38
|
else{
|
|
39
|
DescriptiveStatistics aggregatedStatistics = new DescriptiveStatistics();
|
|
40
|
if(quantitativeData.getMin()!=null){
|
|
41
|
aggregatedStatistics.addValue(quantitativeData.getMin().doubleValue());
|
|
42
|
}
|
|
43
|
if(quantitativeData.getMax()!=null){
|
|
44
|
aggregatedStatistics.addValue(quantitativeData.getMax().doubleValue());
|
|
45
|
}
|
|
46
|
statistics.add(aggregatedStatistics);
|
|
47
|
}
|
|
48
|
Collections.sort(statistics, (s1, s2)->Double.compare(s1.getMean(), s2.getMean()));
|
|
49
|
}
|
|
50
|
|
|
51
|
public List<DescriptiveStatistics> getStatistics() {
|
|
52
|
return statistics;
|
|
53
|
}
|
|
54
|
|
|
55
|
}
|