Examples of org.apache.commons.math.stat.inference.ChiSquareTestImpl.chiSquareTest()

Package org.apache.commons.math.stat.inference

Class org.apache.commons.math.stat.inference.ChiSquareTestImpl

Examples of org.apache.commons.math.stat.inference.ChiSquareTestImpl.chiSquareTest()

org.apache.commons.math.stat.inference.ChiSquareTestImpl.chiSquareTest()
{@inheritDoc}
Note: This implementation rescales the expected array if necessary to ensure that the sum of the expected and observed counts are equal.
@param observed array of observed frequency counts @param expected array of expected frequency counts @return p-value @throws IllegalArgumentException if preconditions are not met @throws MathException if an error occurs computing the p-value


        // Use chisquare test to verify that generated values are poisson(mean)-distributed
        ChiSquareTest chiSquareTest = new ChiSquareTestImpl();
        try {
            // Fail if we can reject null hypothesis that distributions are the same
            assertFalse(chiSquareTest.chiSquareTest(expected, observed, alpha));
        } catch (AssertionFailedError ex) {
            StringBuffer msgBuffer = new StringBuffer();
            DecimalFormat df = new DecimalFormat("#.##");
            msgBuffer.append("Chisquare test failed for mean = ");
            msgBuffer.append(mean);

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            StringBuffer msgBuffer = new StringBuffer();
            DecimalFormat df = new DecimalFormat("#.##");
            msgBuffer.append("Chisquare test failed for mean = ");
            msgBuffer.append(mean);
            msgBuffer.append(" p-value = ");
            msgBuffer.append(chiSquareTest.chiSquareTest(expected, observed));
            msgBuffer.append(" chisquare statistic = ");
            msgBuffer.append(chiSquareTest.chiSquare(expected, observed));
            msgBuffer.append(". \n");
            msgBuffer.append("bin\t\texpected\tobserved\n");
            for (int i = 0; i < expected.length; i++) {

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     */
    public static void assertChiSquareAccept(String[] valueLabels, double[] expected, long[] observed, double alpha) throws Exception {
        ChiSquareTest chiSquareTest = new ChiSquareTestImpl();
        try {
            // Fail if we can reject null hypothesis that distributions are the same
            Assert.assertFalse(chiSquareTest.chiSquareTest(expected, observed, alpha));
        } catch (AssertionFailedError ex) {
            StringBuilder msgBuffer = new StringBuilder();
            DecimalFormat df = new DecimalFormat("#.##");
            msgBuffer.append("Chisquare test failed");
            msgBuffer.append(" p-value = ");

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        } catch (AssertionFailedError ex) {
            StringBuilder msgBuffer = new StringBuilder();
            DecimalFormat df = new DecimalFormat("#.##");
            msgBuffer.append("Chisquare test failed");
            msgBuffer.append(" p-value = ");
            msgBuffer.append(chiSquareTest.chiSquareTest(expected, observed));
            msgBuffer.append(" chisquare statistic = ");
            msgBuffer.append(chiSquareTest.chiSquare(expected, observed));
            msgBuffer.append(". \n");
            msgBuffer.append("value\texpected\tobserved\n");
            for (int i = 0; i < expected.length; i++) {

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        // Use chisquare test to verify that generated values are poisson(mean)-distributed
        ChiSquareTest chiSquareTest = new ChiSquareTestImpl();
        try {
            // Fail if we can reject null hypothesis that distributions are the same
            assertFalse(chiSquareTest.chiSquareTest(expected, observed, alpha));
        } catch (AssertionFailedError ex) {
            StringBuilder msgBuffer = new StringBuilder();
            DecimalFormat df = new DecimalFormat("#.##");
            msgBuffer.append("Chisquare test failed for mean = ");
            msgBuffer.append(mean);

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            StringBuilder msgBuffer = new StringBuilder();
            DecimalFormat df = new DecimalFormat("#.##");
            msgBuffer.append("Chisquare test failed for mean = ");
            msgBuffer.append(mean);
            msgBuffer.append(" p-value = ");
            msgBuffer.append(chiSquareTest.chiSquareTest(expected, observed));
            msgBuffer.append(" chisquare statistic = ");
            msgBuffer.append(chiSquareTest.chiSquare(expected, observed));
            msgBuffer.append(". \n");
            msgBuffer.append("bin\t\texpected\tobserved\n");
            for (int i = 0; i < expected.length; i++) {

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                expected[j] = hashesPerRound * 1.0 / m;
            }


            ChiSquareTestImpl cs = new ChiSquareTestImpl();
            try {
                pValues.addValue(cs.chiSquareTest(expected, observed));
                xs.addValue(cs.chiSquare(expected, observed));
            } catch (Exception e) {
                e.printStackTrace();
            }

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        double pValue = 0;
        double chiSq = 0;
        ChiSquareTestImpl cs = new ChiSquareTestImpl();
        try {
            pValue = cs.chiSquareTest(expected, observed);
            chiSq = cs.chiSquare(expected, observed);
        } catch (Exception e) {
            e.printStackTrace();
        }

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