Package net.sf.jagg

Provides the classes and API necessary to perform aggregate operations.

See:
Description

Class Summary

AbstractCovarianceAggregator	This abstract class represents covariance-like aggregator calculations over numeric values.
AbstractVarianceAggregator	This abstract class represents variance-like aggregator calculations over numeric values.
AggregateValue<T>	This class represents the result of a "group by" operation, where certain fields of a type are selected for a "group by", and certain values can be extracted by referring to Aggregators.
AggregateValuePropertiesComparator<T>	This class represents a Comparator that is capable of comparing two objects based on a dynamic list of properties of the objects of type T.
Aggregation	The Aggregation class performs the actual aggregation operations.
Aggregation.Builder	This Builder class follows the "Builder" pattern to create an Aggregation object.
Aggregations	This class is a utility class that represents an alternate API for some jAgg operations.
Aggregator	This abstract class allows for the state necessary to implement aggregate functions.
AggregatorCache	Created as a wrapper around a HashMap that maps aggregator specification strings to Lists of Aggregators.
AvgAggregator	This class represents the "avg" aggregator over numeric values.
CollectAggregator	This class allows represents the "collect" aggregator over any values.
ComparableComparator<T extends Comparable<? super T>>	This adapter class compares Comparables.
ConcatAggregator	This class represents the "concatenation" aggregator over any values for which toString is well-defined, with an optional separator String between values.
CorrelationAggregator	This class represents the "coefficient of correlation" aggregator over two sets of numeric values.
CountAggregator	This class represents the "count" aggregator over any values.
CovarianceAggregator	This class represents the "sample covariance" aggregator over two sets of numeric values.
CovariancePopAggregator	This class represents the "population covariance" aggregator over two sets of numeric values.
DoubleDouble	A DoubleDouble is used when extra precision is necessary to cut way down on floating point errors.
GeometricMeanAggregator	This class represents the "geometric mean" aggregator over numeric values.
HarmonicMeanAggregator	This class represents the "harmonic mean" aggregator over numeric values.
LinearRegressionAggregator	This class represents the "linear regression" aggregator over two sets of numeric values.
LinearRegressionStats	This class represents all statistics generated by a LinearRegressionAggregator.
MaxAggregator	This class represents the "max" aggregator over Comparable values.
MethodCache	Created as a wrapper around a HashMap that maps property names to Methods.
MethodCall	A MethodCall bundles a Method object and an array of parameter values together so they can go together into a Map as the value.
MinAggregator	This class represents the "min" aggregator over Comparable values.
ModeAggregator	This class represents the "mode" aggregator over Comparable values.
MultiPropAggregator	This abstract class allows for the state necessary to implement aggregate functions over any number of variables (properties).
PercentileAggregator	This class allows represents the "percentile" aggregator over numeric values.
ProductAggregator	This class allows represents the "product" aggregator over numeric values.
PropertiesComparator<T>	This class represents a flexible Comparator that is capable of comparing two objects based on a dynamic list of properties of the objects of type T.
PropertyParser	This class knows how to parse a property specification: property[([param[, param]*])].
PropertyScanner	This class is a scanner that helps to parse a property specification string.
SelfMethodCall	A SelfMethodCall is a MethodCall that simply returns its own object, instead of invoking a Method on that object.
StdDevAggregator	This class represents the "sample standard deviation" aggregator over numeric values.
StdDevPopAggregator	This class represents the "population standard deviation" aggregator over numeric values.
SumAggregator	This class represents the "sum" aggregator over numeric values.
TwoPropAggregator	This abstract class allows for the state necessary to implement aggregate functions over two variables (properties).
VarianceAggregator	This class represents the "sample variance" aggregator over numeric values.
VariancePopAggregator	This class represents the "population variance" aggregator over numeric values.

Enum Summary

PropertyScanner.Token

Enumeration for the different types of Tokens.

Package net.sf.jagg Description

Provides the classes and API necessary to perform aggregate operations. The main API classes are Aggregation, AggregateValue, Aggregator, and Aggregations. This also includes the double-double precision class, DoubleDouble.

Since:

0.1.0

Author:

Randy Gettman