Package jas.statistics.functions

The package contains the statistics functions, which can be applyed to I*Source data sources.

See:
Description

Class Summary

AbstractArrayFunction	This class represents the skeleton for all the function which opeate on array of native data type values.
AbstractFunction	An abstract skeleton for the statistical function able to manage update time checking.
CountArrayFunction	This class computes the number of values in an array taken from a data source.
MaxArrayFunction	This class computes the maximum value in an array of source values.
MaxArrayFunction.Double	MaxFunction operating on double source values.
MaxArrayFunction.Float	MaxFunction operating on float source values.
MaxArrayFunction.Integer	MaxFunction operating on integer source values.
MaxArrayFunction.Long	MaxFunction operating on long source values.
MaxTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
MaxTraceFunction.Double	An implementation of the MemorylessSeries class, which manages double type data sources.
MaxTraceFunction.Float	An implementation of the MemorylessSeries class, which manages float type data sources.
MaxTraceFunction.Integer	An implementation of the MemorylessSeries class, which manages integer type data sources.
MaxTraceFunction.Long	An implementation of the MemorylessSeries class, which manages long type data sources.
MeanArrayFunction	This class computes the average value of an array of values taken from a data source.
MeanVarianceArrayFunction	This class computes the average and variance value of an array of values taken from a data source.
MinArrayFunction	This class computes the minimum value in an array of source values.
MinArrayFunction.Double	MinFunction operating on double source values.
MinArrayFunction.Float	MinFunction operating on float source values.
MinArrayFunction.Integer	MinFunction operating on integer source values.
MinArrayFunction.Long	MinFunction operating on long source values.
MinTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
MinTraceFunction.Double	An implementation of the MemorylessSeries class, which manages double type data sources.
MinTraceFunction.Float	An implementation of the MemorylessSeries class, which manages float type data sources.
MinTraceFunction.Integer	An implementation of the MemorylessSeries class, which manages integer type data sources.
MinTraceFunction.Long	An implementation of the MemorylessSeries class, which manages long type data sources.
MovingAverageArrayFunction	This class computes the average of the last given number of values in an array taken from a data source.
MovingAverageTraceFunction	This class computes the average of the last values collected from a data source.
MultiTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
MultiTraceFunction.Double	An implementation of the MemorylessSeries class, which manages double type data sources.
MultiTraceFunction.Float	An implementation of the MemorylessSeries class, which manages float type data sources.
MultiTraceFunction.Integer	An implementation of the MemorylessSeries class, which manages integer type data sources.
MultiTraceFunction.Long	An implementation of the MemorylessSeries class, which manages long type data sources.
SumArrayFunction	This class computes the sum of an array of source values.
SumArrayFunction.Double	SumFunction operating on double source values.
SumArrayFunction.Float	SumFunction operating on float source values.
SumArrayFunction.Integer	SumFunction operating on integer source values.
SumArrayFunction.Long	SumFunction operating on long source values.

Package jas.statistics.functions Description

The package contains the statistics functions, which can be applyed to I*Source data sources.
Most of the computing function are taken from the cern.jet.stat package.