Example usage for org.jfree.data.function Function2D Function2D

Introduction

In this page you can find the example usage for org.jfree.data.function Function2D Function2D.

Prototype

Function2D

Source Link

Usage

From source file:ec.ui.view.DistributionView.java

protected void onDataChange() {
    XYPlot plot = chartPanel.getChart().getXYPlot();

    if (data != DEFAULT_DATA) {
        DescriptiveStatistics stats = new DescriptiveStatistics(new DataBlock(data));

        double m = 0, M = 0, dv = 1;
        if (adjustDistribution && distribution != DEFAULT_DISTRIBUTION) {
            m = stats.getAverage();/*  w  ww  .  jav  a2  s.co  m*/
            M = distribution.getExpectation();
            double v = stats.getVar();
            double V = distribution.getVariance();
            dv = Math.sqrt(v / V);
        }

        final double xmin = stats.getMin() < lBound ? stats.getMin() : lBound;
        final double xmax = stats.getMax() > rBound ? stats.getMax() : rBound;
        final int n = hCount != 0 ? hCount : (int) Math.ceil(Math.sqrt(stats.getObservationsCount()));
        final double xstep = (xmax - xmin) / n;

        // distribution >
        if (distribution != DEFAULT_DISTRIBUTION) {
            Function2D density = new Function2D() {
                @Override
                public double getValue(double x) {
                    return distribution.getDensity(x);
                }
            };

            final double zmin = distribution.hasLeftBound() != BoundaryType.None ? distribution.getLeftBound()
                    : ((xmin - xstep - m) / dv + M);
            final double zmax = distribution.hasRightBound() != BoundaryType.None ? distribution.getRightBound()
                    : ((xmax + xstep - m) / dv + M);

            // TODO: create IDistribution#getName() method
            String name = distribution.getClass().getSimpleName();

            ((XYLineAndShapeRenderer) plot.getRenderer(DISTRIBUTION_INDEX))
                    .setLegendItemToolTipGenerator(getTooltipGenerator(distribution));
            plot.setDataset(DISTRIBUTION_INDEX,
                    DatasetUtilities.sampleFunction2D(density, zmin, zmax, n, name));
        } else {
            plot.setDataset(DISTRIBUTION_INDEX, Charts.emptyXYDataset());
        }
        // < distribution

        // histogram >
        XYSeries hSeries = new XYSeries("");
        double nobs = stats.getObservationsCount();
        for (int i = 0; i <= n; ++i) {
            double x0 = xmin + i * xstep;
            double x1 = x0 + xstep;
            double y = stats.countBetween(x0, x1) / (nobs * xstep / dv);
            hSeries.add(((x0 + x1) / 2 - m) / dv + M, y);
        }

        plot.setDataset(HISTOGRAM_INDEX, new XYBarDataset(new XYSeriesCollection(hSeries), xstep / dv + M));
        // < histogram
    } else {
        plot.setDataset(HISTOGRAM_INDEX, Charts.emptyXYDataset());
        plot.setDataset(DISTRIBUTION_INDEX, Charts.emptyXYDataset());
    }

    onColorSchemeChange();
}

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From source file:org.esa.beam.visat.toolviews.stat.ScatterPlotPanel.java

private XYIntervalSeries computeAcceptableDeviationData(double lowerBound, double upperBound) {
    final Function2D identityFunction = new Function2D() {
        @Override/*  w ww .j  a  v a  2 s .  c o m*/
        public double getValue(double x) {
            return x;
        }
    };

    final XYSeries identity = DatasetUtilities.sampleFunction2DToSeries(identityFunction, lowerBound,
            upperBound, 100, "1:1 line");
    final XYIntervalSeries xyIntervalSeries = new XYIntervalSeries(identity.getKey());
    final List<XYDataItem> items = identity.getItems();
    for (XYDataItem item : items) {
        final double x = item.getXValue();
        final double y = item.getYValue();
        if (scatterPlotModel.showAcceptableDeviation) {
            final double acceptableDeviation = scatterPlotModel.acceptableDeviationInterval;
            final double xOff = acceptableDeviation * x / 100;
            final double yOff = acceptableDeviation * y / 100;
            xyIntervalSeries.add(x, x - xOff, x + xOff, y, y - yOff, y + yOff);
        } else {
            xyIntervalSeries.add(x, x, x, y, y, y);
        }
    }
    return xyIntervalSeries;
}

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