See: Description
| Interface | Description |
|---|---|
| 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 | Description |
|---|---|
| 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. |
/∗ evaluation approach ∗/
double[] values = new double[] { 1, 2, 3, 4, 5 };
UnivariateStatistic stat = new Mean();
out.println("mean = " + stat.evaluate(values));
/∗ incremental approach ∗/
double[] values = new double[] { 1, 2, 3, 4, 5 };
StorelessUnivariateStatistic stat = new Mean();
out.println("mean before adding a value is NaN = " + stat.getResult());
for (int i = 0; i < values.length; i++) {
stat.increment(values[i]);
out.println("current mean = " + stat2.getResult());
}
stat.clear();
out.println("mean after clear is NaN = " + stat.getResult());
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