Ejemplo n.º 1
0
 /** Test of test method, of class Logrank. */
 @Test
 public void testTest() {
   System.out.println("test");
   // Example from Dimaki's Survival Non-parametrics notes. It should reject the null hypothesis
   // and return true.
   TransposeDataCollection transposeDataCollection = new TransposeDataCollection();
   transposeDataCollection.put(
       0, new FlatDataCollection(Arrays.asList(new Object[] {23, "16+", "18+", "20+", "24+"})));
   transposeDataCollection.put(
       1, new FlatDataCollection(Arrays.asList(new Object[] {15, 18, 19, 19, 20.0})));
   boolean is_twoTailed = true;
   double aLevel = 0.05;
   boolean expResult = true;
   boolean result = Logrank.test(transposeDataCollection, is_twoTailed, aLevel);
   assertEquals(expResult, result);
 }
  /** Test of testVariances method, of class LevenesIndependentSamples. */
  @Test
  public void testTestVariances() {
    logger.info("testVariances");
    TransposeDataCollection transposeDataCollection = new TransposeDataCollection();

    transposeDataCollection.put(
        0, new FlatDataCollection(Arrays.asList(new Object[] {60.8, 57.0, 65.0, 58.6, 61.7})));
    transposeDataCollection.put(
        1, new FlatDataCollection(Arrays.asList(new Object[] {68.7, 67.7, 74.0, 66.3, 69.8})));
    transposeDataCollection.put(
        2, new FlatDataCollection(Arrays.asList(new Object[] {102.6, 103.1, 100.2, 96.5})));
    transposeDataCollection.put(
        3, new FlatDataCollection(Arrays.asList(new Object[] {87.9, 84.2, 83.1, 85.7, 90.3})));

    double aLevel = 0.05;
    boolean expResult = true;
    boolean result = LevenesIndependentSamples.testVariances(transposeDataCollection, aLevel);
    assertEquals(expResult, result);
  }