/*
* 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.plot;
import java.awt.Shape;
import java.util.ArrayList;
import java.util.Collection;
import org.drugis.addis.entities.Arm;
import org.drugis.addis.entities.BasicContinuousMeasurement;
import org.drugis.addis.entities.ContinuousMeasurement;
import org.drugis.addis.entities.relativeeffect.BasicMeanDifference;
import org.drugis.addis.entities.relativeeffect.RelativeEffect;
import org.drugis.addis.forestplot.BinnedScale;
import org.drugis.addis.forestplot.IdentityScale;
import org.drugis.addis.forestplot.RelativeEffectBar;
import org.junit.Test;
public class RelativeEffectBarTest {
@Test
public void testNormalPlot() {
// Create relative effect.
Arm p1 = new Arm("p1", 100);
Arm p2 = new Arm("p2", 100);
RelativeEffect<ContinuousMeasurement> effect = new BasicMeanDifference(new BasicContinuousMeasurement(0.25, 1.26 / Math.sqrt(2), p1.getSize()),
new BasicContinuousMeasurement(0.5, 1.26 / Math.sqrt(2), p2.getSize()));
// Make some BinnedScale that maps [0, 1] -> [0, 200]
BinnedScale bsl = new BinnedScale(new IdentityScale(), 0, 200);
// set confidence interval line in mock.
Integer lowerX = bsl.getBin(effect.getConfidenceInterval().getLowerBound()).bin;
Integer upperX = bsl.getBin(effect.getConfidenceInterval().getUpperBound()).bin;
Collection<Shape> shapeSet = new ArrayList<Shape>();
shapeSet.add(new Line(lowerX , 11, upperX , 11));
// set Mean box in mock.
shapeSet.add(new FilledRectangle( bsl.getBin(effect.getConfidenceInterval().getPointEstimate()).bin - 2, 11 - 2, 5, 5) );
MockGraphics2D g2d = new MockGraphics2D(shapeSet);
RelativeEffectBar plot = new RelativeEffectBar(bsl, 11, effect, 5, false);
plot.paint(g2d);
g2d.verify();
}
@Test
public void testCombinedPlot() {
Arm p1 = new Arm("p1", 100);
Arm p2 = new Arm("p2", 100);
RelativeEffect<ContinuousMeasurement> effect = new BasicMeanDifference(new BasicContinuousMeasurement(0.25, 1.26 / Math.sqrt(2), p1.getSize()),
new BasicContinuousMeasurement(0.5, 1.26 / Math.sqrt(2), p2.getSize()));
// Make some BinnedScale that maps [0, 1] -> [0, 200]
BinnedScale bsl = new BinnedScale(new IdentityScale(), 0, 200);
// set confidence interval line in mock.
Integer lowerX = bsl.getBin(effect.getConfidenceInterval().getLowerBound()).bin;
Integer upperX = bsl.getBin(effect.getConfidenceInterval().getUpperBound()).bin;
Collection<Shape> shapeSet = new ArrayList<Shape>();
shapeSet.add(new Line(lowerX , 11, upperX , 11));
// set Mean box in mock.
int center = bsl.getBin(effect.getConfidenceInterval().getPointEstimate()).bin;
shapeSet.add(new Line(center + 8, 11, center, 19));
shapeSet.add(new Line(center, 19, center - 8, 11));
shapeSet.add(new Line(center - 8, 11, center, 3));
shapeSet.add(new Line(center, 3, center + 8, 11));
MockGraphics2D g2d = new MockGraphics2D(shapeSet);
RelativeEffectBar plot = new RelativeEffectBar(bsl, 11, effect, 8, true);
plot.paint(g2d);
g2d.verify();
}
}