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/**
*
* This file is part of Tulip (www.tulip-software.org)
*
* Authors: David Auber and the Tulip development Team
* from LaBRI, University of Bordeaux
*
* Tulip is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* Tulip 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.
*
*/
#include <tulip/IntegerProperty.h>
#include <tulip/ForEach.h>
#include <tulip/GlLine.h>
#include <tulip/DoubleProperty.h>
#include <tulip/GlQuantitativeAxis.h>
#include <tulip/GlMainWidget.h>
#include <tulip/GlLabel.h>
#include <QEvent>
#include "ScatterPlotTrendLine.h"
#include "ScatterPlot2DView.h"
#include "ScatterPlot2D.h"
using namespace std;
namespace tlp {
// Computes the Linear regression function of a graph on two metrics (y = ax +b)
void computeLinearRegressionFunction(Graph *graph, DoubleProperty *xk, DoubleProperty *yk, float &a, float &b) {
float sxk, syk, sxkxk, sxkyk;
sxk = 0.0f;
syk = 0.0f;
sxkxk = 0.0f;
sxkyk = 0.0f;
// We compute the sum of xk, yk, xk² and xkyk for the whole set of nodes
Iterator<node> *itN = graph->getNodes();
while(itN->hasNext()) {
node n = itN->next();
float nodeValx = xk->getNodeValue(n), nodeValy = yk->getNodeValue(n);
sxk += nodeValx;
sxkxk += (nodeValx * nodeValx);
syk += nodeValy;
sxkyk += (nodeValx * nodeValy);
}
delete itN;
float n = graph->numberOfNodes();
// Then we compute a and b :
a = (sxkyk - ((sxk * syk) / n)) / (sxkxk - ((sxk * sxk) / n));
b = (syk / n) - a * (sxk / n);
}
ScatterPlotTrendLine::ScatterPlotTrendLine() :
scatterView(NULL), a(0.0f), b(0.0f) {}
ScatterPlotTrendLine:: ~ScatterPlotTrendLine() {}
bool ScatterPlotTrendLine::eventFilter(QObject*, QEvent *e) {
if (e->type() == QEvent::MouseMove) {
scatterView->refresh();
return true;
}
return false;
}
bool ScatterPlotTrendLine::draw(GlMainWidget *glMainWidget) {
ScatterPlot2D *currentScatterPlot = scatterView->getDetailedScatterPlot();
if (currentScatterPlot == NULL || (a == 0.0f && b == 0.0f)) {
return false;
}
GlQuantitativeAxis *xAxis = currentScatterPlot->getXAxis();
GlQuantitativeAxis *yAxis = currentScatterPlot->getYAxis();
float xStart = xAxis->getAxisMinValue();
float xEnd = xAxis->getAxisMaxValue();
float yStart = a * xStart + b;
float yEnd = a * xEnd + b;
Camera &camera = glMainWidget->getScene()->getLayer("Main")->getCamera();
camera.initGl();
GlLine trendLine;
trendLine.addPoint(Coord(xAxis->getAxisBaseCoord().getX(), yAxis->getAxisPointCoordForValue(yStart).getY(), 0.0f), Color(0,255,0));
trendLine.addPoint(Coord(xAxis->getAxisBaseCoord().getX() + xAxis->getAxisLength(), yAxis->getAxisPointCoordForValue(yEnd).getY(), 0.0f), Color(0,255,0));
trendLine.setLineWidth(3);
glDisable(GL_STENCIL_TEST);
glDisable(GL_DEPTH_TEST);
glEnable(GL_BLEND);
glBlendFunc (GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA);
trendLine.draw(0,0);
glDisable(GL_BLEND);
GlLabel lineEquationLabel(Coord(xAxis->getAxisBaseCoord().getX() + xAxis->getAxisLength() + xAxis->getAxisLength() / 8.0f, yAxis->getAxisPointCoordForValue(yEnd).getY(), 0.0f),
Size(xAxis->getAxisLength() / 4.0f, yAxis->getAxisLength() / 10.0f), Color(0,255,0));
ostringstream oss;
oss << "y = " << a << " * x + " << b;
lineEquationLabel.setText(oss.str());
lineEquationLabel.draw(0,&glMainWidget->getScene()->getLayer("Main")->getCamera());
return true;
}
bool ScatterPlotTrendLine::compute(GlMainWidget*) {
ScatterPlot2D *currentScatterPlot = scatterView->getDetailedScatterPlot();
if (currentScatterPlot == NULL) {
return false;
}
Graph *graph = scatterView->getScatterPlotGraph();
DoubleProperty *xDim, *yDim;
string xDimName(currentScatterPlot->getXDim());
string yDimName(currentScatterPlot->getYDim());
string xDimType(graph->getProperty(xDimName)->getTypename());
string yDimType(graph->getProperty(yDimName)->getTypename());
if (xDimType == "double") {
xDim = graph->getProperty<DoubleProperty>(xDimName);
}
else {
IntegerProperty *xDimInt = graph->getProperty<IntegerProperty>(xDimName);
xDim = new DoubleProperty(graph);
node n;
forEach(n, graph->getNodes()) {
xDim->setNodeValue(n, static_cast<double>(xDimInt->getNodeValue(n)));
}
}
if (yDimType == "double") {
yDim = graph->getProperty<DoubleProperty>(yDimName);
}
else {
IntegerProperty *yDimInt = graph->getProperty<IntegerProperty>(yDimName);
yDim = new DoubleProperty(graph);
node n;
forEach(n, graph->getNodes()) {
yDim->setNodeValue(n, static_cast<double>(yDimInt->getNodeValue(n)));
}
}
computeLinearRegressionFunction(graph, xDim, yDim, a, b);
if (xDimType == "int") {
delete xDim;
}
if (yDimType == "int") {
delete yDim;
}
return true;
}
void ScatterPlotTrendLine::viewChanged(View *view) {
if (view == NULL) {
scatterView = NULL;
return;
}
scatterView = dynamic_cast<ScatterPlot2DView *>(view);
compute(0);
scatterView->refresh();
}
}
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