Examples of org.apache.commons.math.stat.descriptive.SummaryStatistics.addValue()

Package org.apache.commons.math.stat.descriptive

Class org.apache.commons.math.stat.descriptive.SummaryStatistics

Examples of org.apache.commons.math.stat.descriptive.SummaryStatistics.addValue()

org.apache.commons.math.stat.descriptive.SummaryStatistics.addValue()
Add a value to the data @param value the value to add

    public void testTwoSampleTHeterscedastic() throws Exception {
        double[] sample1 = { 7d, -4d, 18d, 17d, -3d, -5d, 1d, 10d, 11d, -2d };
        double[] sample2 = { -1d, 12d, -1d, -3d, 3d, -5d, 5d, 2d, -11d, -1d, -3d };
        SummaryStatistics sampleStats1 = SummaryStatistics.newInstance();  
        for (int i = 0; i < sample1.length; i++) {
            sampleStats1.addValue(sample1[i]);
        }
        SummaryStatistics sampleStats2 = SummaryStatistics.newInstance();    
        for (int i = 0; i < sample2.length; i++) {
            sampleStats2.addValue(sample2[i]);
        }

View Full Code Here

        for (int i = 0; i < sample1.length; i++) {
            sampleStats1.addValue(sample1[i]);
        }
        SummaryStatistics sampleStats2 = SummaryStatistics.newInstance();    
        for (int i = 0; i < sample2.length; i++) {
            sampleStats2.addValue(sample2[i]);
        }
        
        // Target comparison values computed using R version 1.8.1 (Linux version)
        assertEquals("two sample heteroscedastic t stat", 1.60371728768, 
                TestUtils.t(sample1, sample2), 1E-10);

View Full Code Here

    public void testTwoSampleTHomoscedastic() throws Exception {
        double[] sample1 ={2, 4, 6, 8, 10, 97};
        double[] sample2 = {4, 6, 8, 10, 16};
        SummaryStatistics sampleStats1 = SummaryStatistics.newInstance();  
        for (int i = 0; i < sample1.length; i++) {
            sampleStats1.addValue(sample1[i]);
        }
        SummaryStatistics sampleStats2 = SummaryStatistics.newInstance();    
        for (int i = 0; i < sample2.length; i++) {
            sampleStats2.addValue(sample2[i]);
        }

View Full Code Here

        for (int i = 0; i < sample1.length; i++) {
            sampleStats1.addValue(sample1[i]);
        }
        SummaryStatistics sampleStats2 = SummaryStatistics.newInstance();    
        for (int i = 0; i < sample2.length; i++) {
            sampleStats2.addValue(sample2[i]);
        }
        
        // Target comparison values computed using R version 1.8.1 (Linux version)
        assertEquals("two sample homoscedastic t stat", 0.73096310086, 
                TestUtils.homoscedasticT(sample1, sample2), 10E-11);

View Full Code Here

        
        while (line != null) {
            if (d != null) {
                d.addValue(Double.parseDouble(line.trim()));
            }  else {
                s.addValue(Double.parseDouble(line.trim()));
            }
            line = in.readLine();
        }
        
        in.close();

View Full Code Here

            double val = 0.0d;
            while ((str = inputStream.readLine()) != null) {
                val = Double.parseDouble(str);
                SummaryStatistics stats =
                    (SummaryStatistics) binStats.get(findBin(min, val, delta));
                stats.addValue(val);
            }


            inputStream.close();
            inputStream = null;
        }

View Full Code Here

            throws IOException {
            for (int i = 0; i < inputArray.length; i++) {
                SummaryStatistics stats =
                    (SummaryStatistics) binStats.get(
                            findBin(min, inputArray[i], delta));
                stats.addValue(inputArray[i]);
            }
        }
    }


    /**

View Full Code Here

    
    private void tstGen(double tolerance)throws Exception {
        empiricalDistribution.load(url);   
        SummaryStatistics stats = SummaryStatistics.newInstance();
        for (int i = 1; i < 1000; i++) {
            stats.addValue(empiricalDistribution.getNextValue());
        }
        assertEquals("mean", stats.getMean(),5.069831575018909,tolerance);
        assertEquals
         ("std dev", stats.getStandardDeviation(),1.0173699343977738,tolerance);
    }

View Full Code Here


    private void tstDoubleGen(double tolerance)throws Exception {
        empiricalDistribution2.load(dataArray);   
        SummaryStatistics stats = SummaryStatistics.newInstance();
        for (int i = 1; i < 1000; i++) {
            stats.addValue(empiricalDistribution2.getNextValue());
        }
        assertEquals("mean", stats.getMean(),5.069831575018909,tolerance);
        assertEquals
         ("std dev", stats.getStandardDeviation(),1.0173699343977738,tolerance);
    }

View Full Code Here

            for ( String path : sharder.getQueuePaths() )
            {
                int numChildren = client.checkExists().forPath(path).getNumChildren();
                Assert.assertTrue(numChildren > 0);
                Assert.assertTrue(numChildren >= (threshold * .1));
                statistics.addValue(numChildren);
            }
            latch.countDown();


            Assert.assertTrue(statistics.getMean() >= (threshold * .9));
        }

View Full Code Here

0 1 2 3 4 5 6 7 8 9

TOP

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.