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See:
Description
| Interface Summary | |
|---|---|
| StatisticalMultivariateSummary | Reporting interface for basic multivariate statistics. |
| StatisticalSummary | Reporting interface for basic univariate statistics. |
| StorelessUnivariateStatistic | Extends the definition of UnivariateStatistic with
StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding
values and updating internal state. |
| UnivariateStatistic | Base interface implemented by all statistics. |
| WeightedEvaluation | Weighted evaluation for statistics. |
| Class Summary | |
|---|---|
| AbstractStorelessUnivariateStatistic | Abstract implementation of the StorelessUnivariateStatistic interface. |
| AbstractUnivariateStatistic | Abstract base class for all implementations of the
UnivariateStatistic interface. |
| AggregateSummaryStatistics |
An aggregator for SummaryStatistics from several data sets or
data set partitions. |
| DescriptiveStatistics | Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data. |
| MultivariateSummaryStatistics | Computes summary statistics for a stream of n-tuples added using the
addValue method. |
| StatisticalSummaryValues | Value object representing the results of a univariate statistical summary. |
| SummaryStatistics |
Computes summary statistics for a stream of data values added using the
addValue method. |
| SynchronizedDescriptiveStatistics | Implementation of
DescriptiveStatistics that
is safe to use in a multithreaded environment. |
| SynchronizedMultivariateSummaryStatistics | Implementation of
MultivariateSummaryStatistics that
is safe to use in a multithreaded environment. |
| SynchronizedSummaryStatistics | Implementation of
SummaryStatistics that
is safe to use in a multithreaded environment. |
Generic univariate summary statistic objects.
/* evaluation approach */
double[] values = new double[] { 1, 2,
3, 4, 5 };
UnivariateStatistic stat
= new Mean();
System.out.println("mean = " + stat.evaluate(values));
/* incremental approach */
double[] values = new double[] { 1, 2,
3, 4, 5 };
StorelessUnivariateStatistic stat = new Mean();
System.out.println("mean before adding a value is NaN = " + stat.getResult());
for (int i = 0;
i < values.length; i++) {
stat.increment(values[i]);
System.out.println("current mean = " +
stat2.getResult());
}
stat.clear();
System.out.println("mean after clear is NaN = "
+ stat.getResult());
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