Examples of SumOfSquares

org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the sum of the squares of the available values.
If there are no values in the dataset, or any of the values are NaN, then NaN is returned.

Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.
@version $Revision: 1006299 $ $Date: 2010-10-10 16:47:17 +0200 (dim. 10 oct. 2010) $
org.apache.commons.math.stat.univariate.summary.SumOfSquares
@version $Revision: 1.12 $ $Date: 2003/11/19 03:28:24 $
org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Returns the sum of the squares of the available values.
If there are no values in the dataset, then 0 is returned. If any of the values are NaN, then NaN is returned.

Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.

Examples of org.apache.commons.math.stat.descriptive.summary.SumOfSquares

        }


        int dfwg = 0;
        double sswg = 0;
        Sum totsum = new Sum();
        SumOfSquares totsumsq = new SumOfSquares();
        int totnum = 0;
        
        for (Iterator iterator = categoryData.iterator(); iterator.hasNext();) {
            double[] data = (double[])iterator.next();


            Sum sum = new Sum();
            SumOfSquares sumsq = new SumOfSquares();
            int num = 0;


            for (int i = 0; i < data.length; i++) {
                double val = data[i];


                // within category
                num++;
                sum.increment(val);
                sumsq.increment(val);


                // for all categories
                totnum++;
                totsum.increment(val);
                totsumsq.increment(val);
            }
            dfwg += num - 1;
            double ss = sumsq.getResult() - sum.getResult() * sum.getResult() / num;
            sswg += ss;
        }
        double sst = totsumsq.getResult() - totsum.getResult() * 
            totsum.getResult()/totnum;
        double ssbg = sst - sswg;

View Full Code Here

Examples of org.apache.commons.math.stat.descriptive.summary.SumOfSquares

        geoMeanImpl = new StorelessUnivariateStatistic[k];
        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();

View Full Code Here

Examples of org.apache.commons.math.stat.univariate.summary.SumOfSquares

     */
    public AbstractStorelessDescriptiveStatistics() {
        super();
        
        sum = new Sum();
        sumsq = new SumOfSquares();
        min = new Min();
        max = new Max();
        sumLog = new SumOfLogs();
        geoMean = new GeometricMean();

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

        geoMeanImpl = new StorelessUnivariateStatistic[k];
        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

            TestUtils.assertEquals(dstats.getVariance(), sstats.getVariance(), tol);
            TestUtils.assertEquals(new Variance().evaluate(values), dstats.getVariance(), tol);
            TestUtils.assertEquals(dstats.getSum(), sstats.getSum(), tol);
            TestUtils.assertEquals(new Sum().evaluate(values), dstats.getSum(), tol);
            TestUtils.assertEquals(dstats.getSumsq(), sstats.getSumsq(), tol);
            TestUtils.assertEquals(new SumOfSquares().evaluate(values), dstats.getSumsq(), tol);
            TestUtils.assertEquals(dstats.getPopulationVariance(), sstats.getPopulationVariance(), tol);
            TestUtils.assertEquals(new Variance(false).evaluate(values), dstats.getPopulationVariance(), tol);
        }
    }

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

        geoMeanImpl = new StorelessUnivariateStatistic[k];
        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

        }


        int dfwg = 0;
        double sswg = 0;
        Sum totsum = new Sum();
        SumOfSquares totsumsq = new SumOfSquares();
        int totnum = 0;


        for (double[] data : categoryData) {


            Sum sum = new Sum();
            SumOfSquares sumsq = new SumOfSquares();
            int num = 0;


            for (int i = 0; i < data.length; i++) {
                double val = data[i];


                // within category
                num++;
                sum.increment(val);
                sumsq.increment(val);


                // for all categories
                totnum++;
                totsum.increment(val);
                totsumsq.increment(val);
            }
            dfwg += num - 1;
            double ss = sumsq.getResult() - sum.getResult() * sum.getResult() / num;
            sswg += ss;
        }
        double sst = totsumsq.getResult() - totsum.getResult() *
            totsum.getResult()/totnum;
        double ssbg = sst - sswg;

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

        geoMeanImpl = new StorelessUnivariateStatistic[k];
        meanImpl    = new StorelessUnivariateStatistic[k];


        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

        }


        int dfwg = 0;
        double sswg = 0;
        Sum totsum = new Sum();
        SumOfSquares totsumsq = new SumOfSquares();
        int totnum = 0;


        for (double[] data : categoryData) {


            Sum sum = new Sum();
            SumOfSquares sumsq = new SumOfSquares();
            int num = 0;


            for (int i = 0; i < data.length; i++) {
                double val = data[i];


                // within category
                num++;
                sum.increment(val);
                sumsq.increment(val);


                // for all categories
                totnum++;
                totsum.increment(val);
                totsumsq.increment(val);
            }
            dfwg += num - 1;
            double ss = sumsq.getResult() - sum.getResult() * sum.getResult() / num;
            sswg += ss;
        }
        double sst = totsumsq.getResult() - totsum.getResult() *
            totsum.getResult()/totnum;
        double ssbg = sst - sswg;

View Full Code Here

Examples of org.apache.commons.math3.stat.descriptive.summary.SumOfSquares

            TestUtils.assertEquals(dstats.getVariance(), sstats.getVariance(), tol);
            TestUtils.assertEquals(new Variance().evaluate(values), dstats.getVariance(), tol);
            TestUtils.assertEquals(dstats.getSum(), sstats.getSum(), tol);
            TestUtils.assertEquals(new Sum().evaluate(values), dstats.getSum(), tol);
            TestUtils.assertEquals(dstats.getSumsq(), sstats.getSumsq(), tol);
            TestUtils.assertEquals(new SumOfSquares().evaluate(values), dstats.getSumsq(), tol);
            TestUtils.assertEquals(dstats.getPopulationVariance(), sstats.getPopulationVariance(), tol);
            TestUtils.assertEquals(new Variance(false).evaluate(values), dstats.getPopulationVariance(), tol);
        }
    }

View Full Code Here

0 1 2

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.