List of chiSquareTest() Examples

Examples of chiSquareTest()

org.apache.commons.math.stat.inference.ChiSquareTest.chiSquareTest()
as.lancs.ac.uk/glossary_v1.1/hyptest.html#pvalue"> p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
The number returned is the smallest significance level at which one can reject the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts.

Preconditions:
- Expected counts must all be positive.
- Observed counts must all be >= 0.
- The observed and expected arrays must have the same length and their common length must be at least 2.
If any of the preconditions are not met, an IllegalArgumentException is thrown.
@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
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
org.apache.commons.math3.stat.inference.ChiSquareTest.chiSquareTest()
Construct a ChiSquareTest

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


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

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

     */
    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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Examples of org.apache.commons.math.stat.inference.ChiSquareTest.chiSquareTest()

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


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

            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++) {

View Full Code Here

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


        // 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);

View Full Code Here

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

            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++) {

View Full Code Here

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

     */
    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 = ");

View Full Code Here

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

        } 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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