/** 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);
}
