Examples with QQPlot smile.plot.QQPlot used on opensource projects

Example 1 with QQPlot

use of smile.plot.QQPlot in project smile by haifengl.

the class TDistributionDemo method stateChanged.

@Override
public void stateChanged(ChangeEvent e) {
    if (e.getSource() == nuSlider) {
        nu = nuSlider.getValue();
        if (nu == 0)
            nu = 1;
        TDistribution dist = new TDistribution(nu);
        double[][] p = new double[100][2];
        double[][] q = new double[100][2];
        for (int i = 0; i < p.length; i++) {
            p[i][0] = (i - 50) / 10.0;
            p[i][1] = dist.p(p[i][0]);
            q[i][0] = (i - 50) / 10.0;
            q[i][1] = dist.cdf(p[i][0]);
        }
        pdf.clear();
        pdf.line(p, Line.Style.SOLID, Color.BLUE);
        cdf.clear();
        cdf.line(q, Line.Style.SOLID, Color.BLUE);
        double[] data = new double[500];
        for (int i = 0; i < data.length; i++) {
            data[i] = dist.rand();
        }
        histogram.clear();
        histogram.histogram(data, 20, Color.BLUE);
        qqplot.clear();
        qqplot.add(new QQPlot(data, dist));
        canvas.repaint();
    }
}

Example 2 with QQPlot

use of smile.plot.QQPlot in project smile by haifengl.

the class WeibullDistributionDemo method stateChanged.

@Override
public void stateChanged(ChangeEvent e) {
    if (e.getSource() == scaleSlider || e.getSource() == shapeSlider) {
        scale = scaleSlider.getValue() / 10.0;
        shape = shapeSlider.getValue();
        if (scale == 0)
            scale = 0.01;
        if (shape == 0)
            shape = 0.01;
        WeibullDistribution dist = new WeibullDistribution(shape, scale);
        double[][] p = new double[100][2];
        double[][] q = new double[100][2];
        for (int i = 0; i < p.length; i++) {
            p[i][0] = i / 20.0;
            p[i][1] = dist.p(p[i][0]);
            q[i][0] = i / 20.0;
            q[i][1] = dist.cdf(p[i][0]);
        }
        pdf.clear();
        pdf.line(p, Line.Style.SOLID, Color.BLUE);
        cdf.clear();
        cdf.line(q, Line.Style.SOLID, Color.BLUE);
        double[] data = new double[500];
        for (int i = 0; i < data.length; i++) {
            data[i] = dist.rand();
        }
        histogram.clear();
        histogram.histogram(data, 20, Color.BLUE);
        qqplot.clear();
        qqplot.add(new QQPlot(data, dist));
        canvas.repaint();
    }
}

Example 3 with QQPlot

use of smile.plot.QQPlot in project smile by haifengl.

the class GammaDistributionDemo method stateChanged.

@Override
public void stateChanged(ChangeEvent e) {
    if (e.getSource() == scaleSlider || e.getSource() == shapeSlider) {
        scale = scaleSlider.getValue() / 10.0;
        shape = shapeSlider.getValue();
        if (scale == 0)
            scale = 0.01;
        if (shape == 0)
            shape = 0.01;
        GammaDistribution dist = new GammaDistribution(shape, scale);
        double[][] p = new double[100][2];
        double[][] q = new double[100][2];
        for (int i = 0; i < p.length; i++) {
            p[i][0] = i / 5.0;
            p[i][1] = dist.p(p[i][0]);
            q[i][0] = i / 5.0;
            q[i][1] = dist.cdf(p[i][0]);
        }
        pdf.clear();
        pdf.line(p, Line.Style.SOLID, Color.BLUE);
        cdf.clear();
        cdf.line(q, Line.Style.SOLID, Color.BLUE);
        double[] data = new double[500];
        for (int i = 0; i < data.length; i++) {
            data[i] = dist.rand();
        }
        histogram.clear();
        histogram.histogram(data, 20, Color.BLUE);
        qqplot.clear();
        qqplot.add(new QQPlot(data, dist));
        canvas.repaint();
    }
}

Example 4 with QQPlot

use of smile.plot.QQPlot in project smile by haifengl.

the class GaussianDistributionDemo method stateChanged.

@Override
public void stateChanged(ChangeEvent e) {
    if (e.getSource() == sigmaSlider) {
        sigma = sigmaSlider.getValue() / 10.0;
        if (sigma == 0)
            sigma = 0.01;
        GaussianDistribution dist = new GaussianDistribution(0, sigma);
        double[][] p = new double[200][2];
        double[][] q = new double[200][2];
        for (int i = 0; i < p.length; i++) {
            p[i][0] = (i - 100) / 10.0;
            p[i][1] = dist.p(p[i][0]);
            q[i][0] = (i - 100) / 10.0;
            q[i][1] = dist.cdf(p[i][0]);
        }
        pdf.clear();
        pdf.line(p, Line.Style.SOLID, Color.BLUE);
        cdf.clear();
        cdf.line(q, Line.Style.SOLID, Color.BLUE);
        double[] data = new double[500];
        for (int i = 0; i < data.length; i++) {
            data[i] = dist.rand();
        }
        histogram.clear();
        histogram.histogram(data, 20, Color.BLUE);
        qqplot.clear();
        qqplot.add(new QQPlot(data, dist));
        canvas.repaint();
    }
}

Example 5 with QQPlot

use of smile.plot.QQPlot in project smile by haifengl.

the class LogNormalDistributionDemo method stateChanged.

@Override
public void stateChanged(ChangeEvent e) {
    if (e.getSource() == sigmaSlider) {
        sigma = sigmaSlider.getValue() / 10.0;
        if (sigma == 0)
            sigma = 0.01;
        LogNormalDistribution dist = new LogNormalDistribution(0, sigma);
        double[][] p = new double[100][2];
        double[][] q = new double[100][2];
        for (int i = 0; i < p.length; i++) {
            p[i][0] = (i + 1) / 20.0;
            p[i][1] = dist.p(p[i][0]);
            q[i][0] = (i + 1) / 20.0;
            q[i][1] = dist.cdf(p[i][0]);
        }
        pdf.clear();
        pdf.line(p, Line.Style.SOLID, Color.BLUE);
        cdf.clear();
        cdf.line(q, Line.Style.SOLID, Color.BLUE);
        double[] data = new double[500];
        for (int i = 0; i < data.length; i++) {
            data[i] = dist.rand();
        }
        histogram.clear();
        histogram.histogram(data, 20, Color.BLUE);
        qqplot.clear();
        qqplot.add(new QQPlot(data, dist));
        canvas.repaint();
    }
}