Examples of org.apache.commons.math.stat.inference.OneWayAnova.anovaTest()

org.apache.commons.math.stat.inference.OneWayAnova.anovaTest()

Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.

Preconditions:

The categoryData Collection must contain double[] arrays.
There must be at least two double[] arrays in the categoryData collection and each of these arrays must contain at least two values.
alpha must be strictly greater than 0 and less than or equal to 0.5.

@param categoryData Collection of double[]arrays each containing data for one category @param alpha significance level of the test @return true if the null hypothesis can be rejected withconfidence 1 - alpha @throws IllegalArgumentException if the preconditions are not met @throws MathException if the statistic can not be computed do to aconvergence or other numerical error.

      assertEquals("2.91", String.format("%2.2f", fValue));


      double pValue = anova.anovaPValue(bins);
      assertEquals("0.000002", String.format("%1.6f", pValue));


      boolean rejectNullHypothesis = anova.anovaTest(bins, 0.05);
      assertTrue(rejectNullHypothesis);
    } catch (MathException e) {
      System.err.println(e.getMessage());
      fail();
    } catch (Exception e) {

      // 0.002398777329392865
      double pValue = anova.anovaPValue(data);
      assertEquals("0.002", String.format("%1.3f", pValue));


      // alpha value can be 0 < alpha <= 0.5
      boolean rejectNullHypothesis = anova.anovaTest(data, 0.1);
      assertTrue(rejectNullHypothesis);
    } catch (MathException e) {
      System.err.println(e.getMessage());
      fail();
    }

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.