/*
* This file is part of ADDIS (Aggregate Data Drug Information System).
* ADDIS is distributed from http://drugis.org/.
* Copyright © 2009 Gert van Valkenhoef, Tommi Tervonen.
* Copyright © 2010 Gert van Valkenhoef, Tommi Tervonen, Tijs Zwinkels,
* Maarten Jacobs, Hanno Koeslag, Florin Schimbinschi, Ahmad Kamal, Daniel
* Reid.
* Copyright © 2011 Gert van Valkenhoef, Ahmad Kamal, Daniel Reid, Florin
* Schimbinschi.
* Copyright © 2012 Gert van Valkenhoef, Daniel Reid, Joël Kuiper, Wouter
* Reckman.
* Copyright © 2013 Gert van Valkenhoef, Joël Kuiper.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package org.drugis.addis.presentation;
import static org.junit.Assert.assertEquals;
import java.util.ArrayList;
import java.util.List;
import org.drugis.addis.ExampleData;
import org.drugis.addis.entities.OutcomeMeasure;
import org.drugis.addis.entities.analysis.MetaBenefitRiskAnalysis;
import org.drugis.addis.entities.relativeeffect.GaussianBase;
import org.drugis.addis.entities.treatment.TreatmentDefinition;
import org.junit.Before;
import org.junit.Test;
public class BRRelativeMeasurementTableModelTest {
private BRRelativeMeasurementTableModel d_pm;
private MetaBenefitRiskAnalysis d_brAnalysis;
@Before
public void setUp() {
d_brAnalysis = ExampleData.buildMetaBenefitRiskAnalysis();
d_pm = new BRRelativeMeasurementTableModel(d_brAnalysis);
}
@Test
public void testGetColumnCount() {
assertEquals(d_brAnalysis.getAlternatives().size(), d_pm.getColumnCount());
}
@Test
public void testGetRowCount() {
assertEquals(d_brAnalysis.getCriteria().size(), d_pm.getRowCount());
}
@Test
public void testGetColumnNames() {
List<TreatmentDefinition> drugs = getNonBaselines();
for (int i = 0; i < drugs.size(); ++i) {
assertEquals(drugs.get(i).getLabel(), d_pm.getColumnName(i + 1));
}
}
private List<TreatmentDefinition> getNonBaselines() {
List<TreatmentDefinition> drugs = new ArrayList<TreatmentDefinition>(d_brAnalysis.getAlternatives());
drugs.remove(d_brAnalysis.getBaseline());
return drugs;
}
@Test
public void testGetOutcomeNames() {
List<OutcomeMeasure> outcomeMeasures = d_brAnalysis.getCriteria();
for (int j = 0; j < outcomeMeasures.size(); ++j) {
assertEquals(outcomeMeasures.get(j).toString(), d_pm.getValueAt(j, 0));
}
}
@Test
public void testGetValueAt() {
List<TreatmentDefinition> drugs = getNonBaselines();
for (int i = 0; i < drugs.size(); ++i) {
for (int j=0; j < d_brAnalysis.getCriteria().size(); ++j) {
TreatmentDefinition drug = drugs.get(i);
OutcomeMeasure om = d_brAnalysis.getCriteria().get(j);
GaussianBase expected = (GaussianBase) d_brAnalysis.getRelativeEffectDistribution(om, drug);
GaussianBase actual = (GaussianBase) d_pm.getValueAt(j, i + 1);
assertEquals(expected.getMu(), actual.getMu(), 0.000001);
assertEquals(expected.getSigma(), actual.getSigma(), 0.000001);
}
}
}
}