/** Checks the results of an OLS regression on sample dataset 1. */
 @Test
 public void testOLSRegression1a() {
   double[][] data = createSampleData1();
   double[] result1 = Regression.getOLSRegression(data);
   assertEquals(.25680930, result1[0], 0.0000001);
   assertEquals(0.72792106, result1[1], 0.0000001);
 }
 /** Checks the results of a power regression on sample dataset 2. */
 @Test
 public void testPowerRegression2a() {
   double[][] data = createSampleData2();
   double[] result = Regression.getPowerRegression(data);
   assertEquals(106.1241681, result[0], 0.0000001);
   assertEquals(-0.8466615, result[1], 0.0000001);
 }
Exemple #3
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 public void specific(ObjectContainer con, int step) {
   super.specific(con, step);
   TEntry entry = new TEntry().lastElement();
   Stack stack = new Stack();
   if (step > 0) {
     stack.addElement(entry.key);
     ObjectSet set = con.queryByExample(stack);
     if (set.size() != step) {
       Regression.addError("Stack member query not found");
     } else {
       Stack res = (Stack) set.next();
       if (!(stack.pop().equals(new TEntry().lastElement().key))) {
         Regression.addError("Stack order changed.");
       }
     }
   }
 }
  /** Checks the results of a power regression on sample dataset 1. */
  @Test
  public void testPowerRegression1a() {

    double[][] data = createSampleData1();
    double[] result = Regression.getPowerRegression(data);
    assertEquals(0.91045813, result[0], 0.0000001);
    assertEquals(0.88918346, result[1], 0.0000001);
  }
  /** Checks the results of an OLS regression on sample dataset 2. */
  @Test
  public void testOLSRegression2a() {

    double[][] data = createSampleData2();
    double[] result = Regression.getOLSRegression(data);
    assertEquals(53.9729697, result[0], 0.0000001);
    assertEquals(-4.1823030, result[1], 0.0000001);
  }
  /**
   * Checks the results of a power regression on sample dataset 1 AFTER converting it to an
   * XYSeries.
   */
  @Test
  public void testPowerRegression1b() {

    double[][] data = createSampleData1();

    XYSeries series = new XYSeries("Test");
    for (int i = 0; i < 11; i++) {
      series.add(data[i][0], data[i][1]);
    }
    XYDataset ds = new XYSeriesCollection(series);
    double[] result = Regression.getPowerRegression(ds, 0);

    assertEquals(0.91045813, result[0], 0.0000001);
    assertEquals(0.88918346, result[1], 0.0000001);
  }
  /**
   * Checks the results of an OLS regression on sample dataset 1 AFTER converting it to an XYSeries.
   */
  @Test
  public void testOLSRegression1b() {

    double[][] data = createSampleData1();

    XYSeries series = new XYSeries("Test");
    for (int i = 0; i < 11; i++) {
      series.add(data[i][0], data[i][1]);
    }
    XYDataset ds = new XYSeriesCollection(series);
    double[] result2 = Regression.getOLSRegression(ds, 0);

    assertEquals(.25680930, result2[0], 0.0000001);
    assertEquals(0.72792106, result2[1], 0.0000001);
  }
  /**
   * Checks the results of a power regression on sample dataset 2 AFTER converting it to an
   * XYSeries.
   */
  @Test
  public void testPowerRegression2b() {

    double[][] data = createSampleData2();

    XYSeries series = new XYSeries("Test");
    for (int i = 0; i < 10; i++) {
      series.add(data[i][0], data[i][1]);
    }
    XYDataset ds = new XYSeriesCollection(series);
    double[] result = Regression.getPowerRegression(ds, 0);

    assertEquals(106.1241681, result[0], 0.0000001);
    assertEquals(-0.8466615, result[1], 0.0000001);
  }
  /**
   * Checks the results of an OLS regression on sample dataset 2 AFTER converting it to an XYSeries.
   */
  @Test
  public void testOLSRegression2b() {

    double[][] data = createSampleData2();

    XYSeries series = new XYSeries("Test");
    for (int i = 0; i < 10; i++) {
      series.add(data[i][0], data[i][1]);
    }
    XYDataset ds = new XYSeriesCollection(series);
    double[] result = Regression.getOLSRegression(ds, 0);

    assertEquals(53.9729697, result[0], 0.0000001);
    assertEquals(-4.1823030, result[1], 0.0000001);
  }
Exemple #10
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 public static void main(String[] args) {
   List<Double> signal = Arrays.asList(0., 1., 1., 3., 5., 4., 6.);
   Regression.viewGraph = true;
   Regression.getLinearRegression(signal);
 }
 public static void testNull() {
   InstanceAttributes inc = new InstanceAttributes();
   Regression.verify(inc.aObject == null);
 }
 private static void test1() {
   InstanceAttributes inc = new InstanceAttributes();
   Regression.verify(inc.aValue == 47);
   Regression.verify(inc.aEnabled);
 }