/** \example jkqtplotter_simpletest_violinplot->cpp * Shows how to draw Violin-Plot with JKQTPlotter * * \ref JKQTPlotterViolinplotGraphs */ #include #include "jkqtplotter/jkqtplotter.h" #include "jkqtplotter/jkqtpgraphsviolinplot.h" #include "jkqtplotter/jkqtpgraphssinglecolumnsymbols.h" #include "jkqtplotter/jkqtpgraphsstatisticsadaptors.h" #include "jkqtcommon/jkqtpstatisticstools.h" #include #include template void showPlot() { // 1. create a plotter window and get a pointer to the internal datastore (for convenience) JKQTPlotter* plot=new JKQTPlotter(); plot->getPlotter()->setUseAntiAliasingForGraphs(true); // nicer (but slower) plotting plot->getPlotter()->setUseAntiAliasingForSystem(true); // nicer (but slower) plotting plot->getPlotter()->setUseAntiAliasingForText(true); // nicer (but slower) text rendering JKQTPDatastore* datastore1=plot->getDatastore(); // 2. Now we create random data drawn from a bimodal distribution, // also we add each single distribution as a separate column size_t randomdatacol1=datastore1->addColumn("random data N(1,1)+N(6,2)"); size_t randomdatacol2=datastore1->addColumn("random data N(1,1)"); size_t randomdatacol3=datastore1->addColumn("random data N(6,2)"); std::random_device rd; // random number generators: std::mt19937 gen{rd()}; std::uniform_int_distribution<> ddecide(0,1); std::normal_distribution<> d1{1,1}; std::normal_distribution<> d2{6,2}; for (size_t i=0; i<50; i++) { double v=0; if (i%2==0) { v=d1(gen); datastore1->appendToColumn(randomdatacol2, v); } else { v=d2(gen); datastore1->appendToColumn(randomdatacol3, v); } datastore1->appendToColumn(randomdatacol1, v); } const QString d1_latex="$\\mathcal{N}("+jkqtp_floattolatexqstr(d1.mean(), 1)+","+jkqtp_floattolatexqstr(d1.stddev(), 1)+")+\\mathcal{N}("+jkqtp_floattolatexqstr(d2.mean(), 1)+","+jkqtp_floattolatexqstr(d2.stddev(), 1)+")$"; const QString d2_latex="$\\mathcal{N}("+jkqtp_floattolatexqstr(d1.mean(), 1)+","+jkqtp_floattolatexqstr(d1.stddev(), 1)+")$"; const QString d3_latex="$\\mathcal{N}("+jkqtp_floattolatexqstr(d2.mean(), 1)+","+jkqtp_floattolatexqstr(d2.stddev(), 1)+")$"; // 3. we visualize the data as scatter plots JKQTPSingleColumnSymbolsGraph* gData1; plot->addGraph(gData1=new JKQTPSingleColumnSymbolsGraph(plot)); gData1->setPosition(0); gData1->setPositionScatterStyle(JKQTPSingleColumnSymbolsGraph::RugPlot); gData1->setDataColumn(randomdatacol1); gData1->setTitle(d3_latex); gData1->setDataDirection(DataOrientation); JKQTPSingleColumnSymbolsGraph* gData2; plot->addGraph(gData2=new JKQTPSingleColumnSymbolsGraph(plot)); gData2->setPosition(5); gData2->setPositionScatterStyle(JKQTPSingleColumnSymbolsGraph::RugPlot); gData2->setDataColumn(randomdatacol2); gData2->setTitle(d3_latex); gData2->setDataDirection(DataOrientation); JKQTPSingleColumnSymbolsGraph* gData3; plot->addGraph(gData3=new JKQTPSingleColumnSymbolsGraph(plot)); gData3->setPosition(10); gData3->setPositionScatterStyle(JKQTPSingleColumnSymbolsGraph::RugPlot); gData3->setDataColumn(randomdatacol3); gData3->setTitle(d3_latex); gData3->setDataDirection(DataOrientation); auto pos=JKQTPGraphViolinplotStyleMixin::ViolinBoth; // 4. In order to draw violin plots we first need to calculate the // kernel density estimate (KDE) for the violin size_t cViol1Cat=datastore1->addColumn("violin 1, cat"); size_t cViol1Freq=datastore1->addColumn("violin 1, KDE"); jkqtpstatKDE1DAutoranged(datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), datastore1->backInserter(cViol1Cat), datastore1->backInserter(cViol1Freq), 51, jkqtpstatKernel1DEpanechnikov, jkqtpstatEstimateKDEBandwidth(datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1))); TGraph* gViol1; plot->addGraph(gViol1=new TGraph(plot)); gViol1->setPos(2); gViol1->setMin(jkqtpstatMinimum(datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1))); gViol1->setMax(jkqtpstatMaximum(datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1))); gViol1->setMean(jkqtpstatAverage(datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1))); gViol1->setMedian(jkqtpstatMedian(datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1))); gViol1->setViolinPositionColumn(cViol1Cat); gViol1->setViolinFrequencyColumn(cViol1Freq); gViol1->setColor(gData1->getSymbolColor()); gViol1->setViolinStyle(JKQTPGraphViolinplotStyleMixin::SmoothViolin); gViol1->setViolinPositionMode(pos); gViol1->setTitle("violin plot "+d1_latex); size_t cViol2Cat=datastore1->addColumn("violin 2, cat"); size_t cViol2Freq=datastore1->addColumn("violin 2, Histogram"); jkqtpstatHistogram1DAutoranged(datastore1->begin(randomdatacol2), datastore1->end(randomdatacol2), datastore1->backInserter(cViol2Cat), datastore1->backInserter(cViol2Freq), 21, true, false, JKQTPStatHistogramBinXMode::XIsMid); TGraph* gViol2; plot->addGraph(gViol2=new TGraph(plot)); gViol2->setPos(7); gViol2->setMin(jkqtpstatMinimum(datastore1->begin(randomdatacol2), datastore1->end(randomdatacol2))); gViol2->setMax(jkqtpstatMaximum(datastore1->begin(randomdatacol2), datastore1->end(randomdatacol2))); gViol2->setMean(jkqtpstatAverage(datastore1->begin(randomdatacol2), datastore1->end(randomdatacol2))); gViol2->setMedian(jkqtpstatMedian(datastore1->begin(randomdatacol2), datastore1->end(randomdatacol2))); gViol2->setViolinPositionColumn(cViol2Cat); gViol2->setViolinFrequencyColumn(cViol2Freq); gViol2->setColor(gData2->getSymbolColor()); gViol2->setViolinStyle(JKQTPGraphViolinplotStyleMixin::StepViolin); gViol2->setViolinPositionMode(pos); gViol2->setTitle("step violin plot "+d2_latex); size_t cViol3Cat=datastore1->addColumn("violin 3, cat"); size_t cViol3Freq=datastore1->addColumn("violin 3, Histogram"); jkqtpstatHistogram1DAutoranged(datastore1->begin(randomdatacol3), datastore1->end(randomdatacol3), datastore1->backInserter(cViol3Cat), datastore1->backInserter(cViol3Freq), 10, true, false, JKQTPStatHistogramBinXMode::XIsMid); TGraph* gViol3; plot->addGraph(gViol3=new TGraph(plot)); gViol3->setPos(12); gViol3->setMin(jkqtpstatMinimum(datastore1->begin(randomdatacol3), datastore1->end(randomdatacol3))); gViol3->setMax(jkqtpstatMaximum(datastore1->begin(randomdatacol3), datastore1->end(randomdatacol3))); gViol3->setMean(jkqtpstatAverage(datastore1->begin(randomdatacol3), datastore1->end(randomdatacol3))); gViol3->setMedian(jkqtpstatMedian(datastore1->begin(randomdatacol3), datastore1->end(randomdatacol3))); gViol3->setViolinPositionColumn(cViol3Cat); gViol3->setViolinFrequencyColumn(cViol3Freq); gViol3->setColor(gData3->getSymbolColor()); gViol3->setViolinStyle(JKQTPGraphViolinplotStyleMixin::BoxViolin); gViol3->setViolinPositionMode(pos); gViol3->setTitle("box violin plot "+d3_latex); // Note that there also exist "adapters" that allow to draw violin plots in one line of code: /*jkqtpstatAddVViolinplotHistogramAndOutliers(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -5); jkqtpstatAddHViolinplotHistogramAndOutliers(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -5); jkqtpstatAddVViolinplotHistogram(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -10); jkqtpstatAddHViolinplotHistogram(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -10); jkqtpstatAddVViolinplotKDEAndOutliers(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -15); jkqtpstatAddHViolinplotKDEAndOutliers(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -15); jkqtpstatAddVViolinplotKDE(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -20); jkqtpstatAddHViolinplotKDE(plot->getPlotter(), datastore1->begin(randomdatacol1), datastore1->end(randomdatacol1), -20); */ // autoscale and style the plot plot->zoomToFit(); plot->getPlotter()->setKeyPosition(JKQTPKeyInsideBottomRight); plot->setShowZeroAxes(false); plot->getPlotter()->setGridColor(QColor(230,230,230)); // show plotter and make it a decent size plot->show(); plot->resize(800,600); } int main(int argc, char* argv[]) { QApplication app(argc, argv); showPlot(); showPlot(); return app.exec(); }