Examples of Sum

biz.smart.mdx.olap.function.Sum
Returns the sum of a numeric expression evaluated over a set. Syntax Sum() Sum(, )
cascading.operation.aggregator.Sum
Class Sum is an {@link Aggregator} that returns the sum of all numeric values in the current group.
cc.redberry.core.tensor.Sum
Representation of sum. @author Dmitry Bolotin @author Stanislav Poslavsky @since 1.0
game.slot.Sum
The Sum class, a subclass of AbstractScoreSlot, is a score slot type that is meant to contain the "Intermediate sum" or the "Total sum" of the players points. The mode of the slot is decided by variable slotMode. Slots of this type cannot be manipulated by the player directly. @author Priidu Neemre
ivory.ltr.operator.Sum
jmathexpr.arithmetic.op.Sum
Sum of multiple (one, two or more) terms using either the plus or the minus sign. @author Elemér Furka
jscicalc.expression.Sum
This class represents a sum of Expression objects. expression. @see OObject @author J. D. Lamb @version $Revision: 1.6 $
org.apache.commons.math.stat.descriptive.summary.Sum
Returns the sum 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.Sum
@version $Revision: 1.14 $ $Date: 2003/11/19 03:28:24 $
org.apache.commons.math3.stat.descriptive.summary.Sum
Returns the sum 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.
org.apache.imperius.spl.parser.expressions.impl.Sum
org.apache.openejb.math.stat.descriptive.summary.Sum
Returns the sum 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: 917270 $ $Date: 2010-02-28 11:37:53 -0800 (Sun, 28 Feb 2010) $
org.apache.pig.builtin.SUM
Generates the sum of a set of values. This class implements {@link org.apache.pig.Algebraic}, so if possible the execution will performed in a distributed fashion.
SUM can operate on any numeric type. It can also operate on bytearrays, which it will cast to doubles. It expects a bag of tuples of one record each. If Pig knows from the schema that this function will be passed a bag of integers or longs, it will use a specially adapted version of SUM that uses integer arithmetic for summing the data. The return type of SUM is double for float, double, or bytearray arguments and long for int or long arguments.
SUM implements the {@link org.apache.pig.Accumulator} interface as well.While this will never be the preferred method of usage it is available in case the combiner can not be used for a given calculation.
org.apache.torque.util.functions.Sum
SQL99 Standard sum function. @version $Id: Sum.java 1448414 2013-02-20 21:06:35Z tfischer $
org.objectweb.medor.filter.lib.Sum
org.teiid.query.function.aggregate.Sum
Accumulates (per tuple) and calculates the sum of the values of a column. The type of the result varies depending on the type of the input {@see AggregateSymbol}
storm.trident.operation.builtin.Sum
testPackage.Sum
test_files.Sum
uk.org.ogsadai.expression.arithmetic.Sum
Aggregation function SUM. @author The OGSA-DAI Team.

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

        sumLogImpl  = new StorelessUnivariateStatistic[k];
        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();

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

     *  parameters are not valid
     */
    @Override
    public double evaluate(final double[] values,final int begin, final int length) {
        if (test(values, begin, length)) {
            Sum sum = new Sum();
            double sampleSize = length;


            // Compute initial estimate using definitional formula
            double xbar = sum.evaluate(values, begin, length) / sampleSize;


            // Compute correction factor in second pass
            double correction = 0;
            for (int i = begin; i < begin + length; i++) {
                correction += values[i] - xbar;

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

     * @since 2.1
     */
    public double evaluate(final double[] values, final double[] weights,
                           final int begin, final int length) {
        if (test(values, weights, begin, length)) {
            Sum sum = new Sum();


            // Compute initial estimate using definitional formula
            double sumw = sum.evaluate(weights,begin,length);
            double xbarw = sum.evaluate(values, weights, begin, length) / sumw;


            // Compute correction factor in second pass
            double correction = 0;
            for (int i = begin; i < begin + length; i++) {
                correction += weights[i] * (values[i] - xbarw);

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

            }
        }


        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;

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Examples of org.apache.imperius.spl.parser.expressions.impl.Sum

            
            
            Expression collection = new BasicCollectionExpression(vbytes,null);
            
            v.add(collection);
            Expression es1 = new Sum(v,true);
            v.clear();
            assertTrue(((Number)es1.evaluate()).floatValue()==(float)79.560005);


            
        } catch (SPLException e) {
            fail("Received evaluation exception " + e.getMessage());
        } catch (Exception e) {

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Examples of org.apache.openejb.math.stat.descriptive.summary.Sum

     *  parameters are not valid
     */
    @Override
    public double evaluate(final double[] values,final int begin, final int length) {
        if (test(values, begin, length)) {
            Sum sum = new Sum();
            double sampleSize = length;


            // Compute initial estimate using definitional formula
            double xbar = sum.evaluate(values, begin, length) / sampleSize;


            // Compute correction factor in second pass
            double correction = 0;
            for (int i = begin; i < begin + length; i++) {
                correction += values[i] - xbar;

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Examples of org.apache.openejb.math.stat.descriptive.summary.Sum

     * @since 2.1
     */
    public double evaluate(final double[] values, final double[] weights,
                           final int begin, final int length) {
        if (test(values, weights, begin, length)) {
            Sum sum = new Sum();


            // Compute initial estimate using definitional formula
            double sumw = sum.evaluate(weights,begin,length);
            double xbarw = sum.evaluate(values, weights, begin, length) / sumw;


            // Compute correction factor in second pass
            double correction = 0;
            for (int i = begin; i < begin + length; i++) {
                correction += weights[i] * (values[i] - xbarw);

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Examples of org.apache.openejb.math.stat.descriptive.summary.Sum

     *                                  parameters are not valid
     */
    @Override
    public double evaluate(final double[] values, final int begin, final int length) {
        if (test(values, begin, length)) {
            final Sum sum = new Sum();
            final double sampleSize = length;


            // Compute initial estimate using definitional formula
            final double xbar = sum.evaluate(values, begin, length) / sampleSize;


            // Compute correction factor in second pass
            double correction = 0;
            for (int i = begin; i < begin + length; i++) {
                correction += values[i] - xbar;

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Examples of org.apache.openejb.math.stat.descriptive.summary.Sum

     * @since 2.1
     */
    public double evaluate(final double[] values, final double[] weights,
                           final int begin, final int length) {
        if (test(values, weights, begin, length)) {
            final Sum sum = new Sum();


            // Compute initial estimate using definitional formula
            final double sumw = sum.evaluate(weights, begin, length);
            final double xbarw = sum.evaluate(values, weights, begin, length) / sumw;


            // Compute correction factor in second pass
            double correction = 0;
            for (int i = begin; i < begin + length; i++) {
                correction += weights[i] * (values[i] - xbarw);

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Examples of org.apache.pig.builtin.SUM

            func = new DoubleSum();
        } else if ("sum(int)".equalsIgnoreCase(agg) || 
            "sum(long)".equalsIgnoreCase(agg)) {
            func = new LongSum();
        } else if ("sum(bytearray)".equalsIgnoreCase(agg)) {
            func = new SUM();
        } else if ("avg(double)".equalsIgnoreCase(agg)) {
            func = new DoubleAvg();
        } else if ("avg(float)".equalsIgnoreCase(agg)) {
            func = new FloatAvg();
        } else if ("avg(long)".equalsIgnoreCase(agg)) {

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