List of usage examples for org.jfree.data.function NormalDistributionFunction2D NormalDistributionFunction2D
public NormalDistributionFunction2D(double mean, double std)
From source file:org.jfree.chart.demo.NormalDistributionDemo1.java
public static XYDataset createDataset() { NormalDistributionFunction2D normaldistributionfunction2d = new NormalDistributionFunction2D(0.0D, 1.0D); XYDataset xydataset = DatasetUtilities.sampleFunction2D(normaldistributionfunction2d, -5D, 5D, 100, "Normal"); return xydataset; }
From source file:org.jfree.chart.demo.NormalDistributionDemo2.java
public static XYDataset createDataset() { XYSeriesCollection xyseriescollection = new XYSeriesCollection(); NormalDistributionFunction2D normaldistributionfunction2d = new NormalDistributionFunction2D(0.0D, 1.0D); org.jfree.data.xy.XYSeries xyseries = DatasetUtilities.sampleFunction2DToSeries( normaldistributionfunction2d, -5.0999999999999996D, 5.0999999999999996D, 121, "N1"); xyseriescollection.addSeries(xyseries); NormalDistributionFunction2D normaldistributionfunction2d1 = new NormalDistributionFunction2D(0.0D, Math.sqrt(0.20000000000000001D)); org.jfree.data.xy.XYSeries xyseries1 = DatasetUtilities.sampleFunction2DToSeries( normaldistributionfunction2d1, -5.0999999999999996D, 5.0999999999999996D, 121, "N2"); xyseriescollection.addSeries(xyseries1); NormalDistributionFunction2D normaldistributionfunction2d2 = new NormalDistributionFunction2D(0.0D, Math.sqrt(5D));/* ww w . ja v a 2s . c o m*/ org.jfree.data.xy.XYSeries xyseries2 = DatasetUtilities.sampleFunction2DToSeries( normaldistributionfunction2d2, -5.0999999999999996D, 5.0999999999999996D, 121, "N3"); xyseriescollection.addSeries(xyseries2); NormalDistributionFunction2D normaldistributionfunction2d3 = new NormalDistributionFunction2D(-2D, Math.sqrt(0.5D)); org.jfree.data.xy.XYSeries xyseries3 = DatasetUtilities.sampleFunction2DToSeries( normaldistributionfunction2d3, -5.0999999999999996D, 5.0999999999999996D, 121, "N4"); xyseriescollection.addSeries(xyseries3); return xyseriescollection; }
From source file:org.jfree.data.function.NormalDistributionFunction2DTest.java
/** * Some tests for the constructor.//from w w w . j a va 2 s . co m */ @Test public void testConstructor() { NormalDistributionFunction2D f = new NormalDistributionFunction2D(1.0, 2.0); assertEquals(1.0, f.getMean(), EPSILON); assertEquals(2.0, f.getStandardDeviation(), EPSILON); }
From source file:org.jfree.chart.demo.NormalDistributionDemo.java
/** * A demonstration application showing a normal distribution. * * @param title the frame title.//from w w w .j a va2s. com */ public NormalDistributionDemo(final String title) { super(title); Function2D normal = new NormalDistributionFunction2D(0.0, 1.0); XYDataset dataset = DatasetUtilities.sampleFunction2D(normal, -5.0, 5.0, 100, "Normal"); final JFreeChart chart = ChartFactory.createXYLineChart("XY Series Demo", "X", "Y", dataset, PlotOrientation.VERTICAL, true, true, false); final ChartPanel chartPanel = new ChartPanel(chart); chartPanel.setPreferredSize(new java.awt.Dimension(500, 270)); setContentPane(chartPanel); }
From source file:org.jfree.data.function.NormalDistributionFunction2DTest.java
/** * For datasets, the equals() method just checks keys and values. *//* ww w .ja v a 2 s.co m*/ @Test public void testEquals() { NormalDistributionFunction2D f1 = new NormalDistributionFunction2D(1.0, 2.0); NormalDistributionFunction2D f2 = new NormalDistributionFunction2D(1.0, 2.0); assertEquals(f1, f2); f1 = new NormalDistributionFunction2D(2.0, 3.0); assertNotEquals(f1, f2); f2 = new NormalDistributionFunction2D(2.0, 3.0); assertEquals(f1, f2); }
From source file:org.jfree.data.function.NormalDistributionFunction2DTest.java
/** * Serialize an instance, restore it, and check for equality. *///w w w . j a v a 2 s .c o m @Test public void testSerialization() { NormalDistributionFunction2D f1 = new NormalDistributionFunction2D(1.0, 2.0); NormalDistributionFunction2D f2 = (NormalDistributionFunction2D) TestUtilities.serialised(f1); assertEquals(f1, f2); }
From source file:edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo.java
/** * Creates a dataset with sample values from the normal distribution * function.//from w ww .jav a 2s. c om * @param isDemo true use the demo data, false use data from the JTable * @return A dataset. */ protected XYDataset createDataset(boolean isDemo) { if (isDemo) { mean = 0.0; stdDev = 1.0; Function2D normal = new NormalDistributionFunction2D(mean, stdDev); XYDataset dataset = DatasetUtilities.sampleFunction2D(normal, -10.0, 10.0, 100, "Normal"); return dataset; } else { setArrayFromTable(); String[][] x = new String[xyLength][independentVarLength]; double[][] y = new double[xyLength][dependentVarLength]; for (int index = 0; index < independentVarLength; index++) for (int i = 0; i < xyLength; i++) x[i][index] = indepValues[i][index]; for (int index = 0; index < dependentVarLength; index++) for (int i = 0; i < xyLength; i++) { if (depValues[i][index] != null) y[i][index] = Double.parseDouble(depValues[i][index]); } mean = Double.parseDouble(x[0][0]); stdDev = y[0][0]; Function2D normal = new NormalDistributionFunction2D(mean, stdDev); XYDataset dataset = DatasetUtilities.sampleFunction2D(normal, -10.0, 10.0, 100, "Normal"); return dataset; } }
From source file:org.jfree.data.function.NormalDistributionFunction2DTest.java
/** * Objects that are equal should have the same hash code otherwise FindBugs * will tell on us...// ww w. j a v a 2s . c o m */ @Test public void testHashCode() { NormalDistributionFunction2D f1 = new NormalDistributionFunction2D(1.0, 2.0); NormalDistributionFunction2D f2 = new NormalDistributionFunction2D(1.0, 2.0); assertEquals(f1.hashCode(), f2.hashCode()); }
From source file:org.datacleaner.widgets.result.NumberAnalyzerResultSwingRenderer.java
@Override protected void decorate(NumberAnalyzerResult result, DCTable table, final DisplayChartCallback displayChartCallback) { // find the std. deviation row number. int rowNumber = -1; {//from w ww . j a va 2 s. co m for (int i = 0; i < table.getRowCount(); i++) { Object value = table.getValueAt(i, 0); if (NumberAnalyzer.MEASURE_STANDARD_DEVIATION.equals(value)) { rowNumber = i; break; } } if (rowNumber == -1) { throw new IllegalStateException("Could not determine Std. deviation row number!"); } } Crosstab<?> crosstab = result.getCrosstab(); final InputColumn<? extends Number>[] columns = result.getColumns(); int columnNumber = 1; for (final InputColumn<? extends Number> column : columns) { final CrosstabNavigator<?> nav = crosstab.where(NumberAnalyzer.DIMENSION_COLUMN, column.getName()); final Number numRows = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_ROW_COUNT).get(); if (numRows.intValue() > 0) { final Number standardDeviation = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_STANDARD_DEVIATION).get(); if (standardDeviation != null) { ActionListener action = new ActionListener() { @Override public void actionPerformed(ActionEvent e) { final Number mean = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_MEAN).get(); final Number min = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_LOWEST_VALUE) .get(); final Number max = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_HIGHEST_VALUE) .get(); final NormalDistributionFunction2D normalDistributionFunction = new NormalDistributionFunction2D( mean.doubleValue(), standardDeviation.doubleValue()); final XYDataset dataset = DatasetUtilities.sampleFunction2D(normalDistributionFunction, min.doubleValue(), max.doubleValue(), 100, "Normal"); final JFreeChart chart = ChartFactory.createXYLineChart( "Normal distribution of " + column.getName(), column.getName(), "", dataset, PlotOrientation.VERTICAL, false, true, false); ChartUtils.applyStyles(chart); Marker meanMarker = new ValueMarker(mean.doubleValue(), WidgetUtils.BG_COLOR_BLUE_DARK, new BasicStroke(2f)); meanMarker.setLabel("Mean"); meanMarker.setLabelOffset(new RectangleInsets(70d, 25d, 0d, 0d)); meanMarker.setLabelFont(WidgetUtils.FONT_SMALL); chart.getXYPlot().addDomainMarker(meanMarker); final ChartPanel chartPanel = ChartUtils.createPanel(chart, true); displayChartCallback.displayChart(chartPanel); } }; DCPanel panel = AbstractCrosstabResultSwingRenderer.createActionableValuePanel( standardDeviation, Alignment.RIGHT, action, IconUtils.CHART_LINE); table.setValueAt(panel, rowNumber, columnNumber); } } columnNumber++; } super.decorate(result, table, displayChartCallback); }
From source file:org.eobjects.datacleaner.widgets.result.NumberAnalyzerResultSwingRenderer.java
@Override protected void decorate(NumberAnalyzerResult result, DCTable table, final DisplayChartCallback displayChartCallback) { // find the std. deviation row number. int rowNumber = -1; {//from w w w. j ava2 s. c o m for (int i = 0; i < table.getRowCount(); i++) { Object value = table.getValueAt(i, 0); if (NumberAnalyzer.MEASURE_STANDARD_DEVIATION.equals(value)) { rowNumber = i; break; } } if (rowNumber == -1) { throw new IllegalStateException("Could not determine Std. deviation row number!"); } } Crosstab<?> crosstab = result.getCrosstab(); final InputColumn<? extends Number>[] columns = result.getColumns(); int columnNumber = 1; for (final InputColumn<? extends Number> column : columns) { final CrosstabNavigator<?> nav = crosstab.where(NumberAnalyzer.DIMENSION_COLUMN, column.getName()); final Number numRows = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_ROW_COUNT).get(); if (numRows.intValue() > 0) { final Number standardDeviation = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_STANDARD_DEVIATION).get(); if (standardDeviation != null) { ActionListener action = new ActionListener() { @Override public void actionPerformed(ActionEvent e) { final Number mean = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_MEAN).get(); final Number min = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_LOWEST_VALUE) .get(); final Number max = (Number) nav .where(NumberAnalyzer.DIMENSION_MEASURE, NumberAnalyzer.MEASURE_HIGHEST_VALUE) .get(); final NormalDistributionFunction2D normalDistributionFunction = new NormalDistributionFunction2D( mean.doubleValue(), standardDeviation.doubleValue()); final XYDataset dataset = DatasetUtilities.sampleFunction2D(normalDistributionFunction, min.doubleValue(), max.doubleValue(), 100, "Normal"); final JFreeChart chart = ChartFactory.createXYLineChart( "Normal distribution of " + column.getName(), column.getName(), "", dataset, PlotOrientation.VERTICAL, false, true, false); ChartUtils.applyStyles(chart); Marker meanMarker = new ValueMarker(mean.doubleValue(), WidgetUtils.BG_COLOR_BLUE_DARK, new BasicStroke(2f)); meanMarker.setLabel("Mean"); meanMarker.setLabelOffset(new RectangleInsets(70d, 25d, 0d, 0d)); meanMarker.setLabelFont(WidgetUtils.FONT_SMALL); chart.getXYPlot().addDomainMarker(meanMarker); final ChartPanel chartPanel = new ChartPanel(chart); displayChartCallback.displayChart(chartPanel); } }; DCPanel panel = AbstractCrosstabResultSwingRenderer.createActionableValuePanel( standardDeviation, Alignment.RIGHT, action, "images/chart-types/line.png"); table.setValueAt(panel, rowNumber, columnNumber); } } columnNumber++; } super.decorate(result, table, displayChartCallback); }