Uses of Class
microsim.statistics.functions.AbstractFunction

Packages that use AbstractFunction

Package	Description
microsim.statistics.functions
microsim.statistics.weighted.functions

Uses of AbstractFunction in microsim.statistics.functions

Subclasses of AbstractFunction in microsim.statistics.functions

Modifier and Type	Class	Description
class	AbstractArrayFunction	This class represents the skeleton for all the function which operate on array of native data type values.
class	CountArrayFunction	This class computes the number of values in an array taken from a data source.
class	MaxArrayFunction	This class computes the maximum value in an array of source values.
static class	MaxArrayFunction.Double	MaxFunction operating on double source values.
static class	MaxArrayFunction.Integer	MaxFunction operating on integer source values.
static class	MaxArrayFunction.Long	MaxFunction operating on long source values.
class	MaxTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MaxTraceFunction.Double	An implementation of the Memoryless Series class, which manages double type data sources.
static class	MaxTraceFunction.Integer	An implementation of the Memoryless Series class, which manages integer type data sources.
static class	MaxTraceFunction.Long	An implementation of the Memoryless Series class, which manages long type data sources.
class	MeanArrayFunction	This class computes the average value of an array of values taken from a data source.
class	MeanVarianceArrayFunction	This class computes the average and variance value of an array of values taken from a data source.
class	MinArrayFunction	This class computes the minimum value in an array of source values.
static class	MinArrayFunction.Double	MinFunction operating on double source values.
static class	MinArrayFunction.Integer	MinFunction operating on integer source values.
static class	MinArrayFunction.Long	MinFunction operating on long source values.
class	MinTraceFunction	A MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.
static class	MinTraceFunction.Double	An implementation of the Memoryless Series class, which manages double type data sources.
static class	MinTraceFunction.Integer	An implementation of the Memoryless Series class, which manages integer type data sources.
static class	MinTraceFunction.Long	An implementation of the Memoryless Series class, which manages long type data sources.
class	MovingAverageArrayFunction	This class computes the average of the last given number of values in an array taken from a data source.
class	MovingAverageTraceFunction	This class computes the average of the last values collected from a data source.
class	PercentileArrayFunction	This function calculates percentiles (p1,p5,p10-p90,p95,p99) for a given cross-section of data.
class	SumArrayFunction	This class computes the sum of an array of source values.
static class	SumArrayFunction.Double	SumFunction operating on double source values.
static class	SumArrayFunction.Integer	SumFunction operating on integer source values.
static class	SumArrayFunction.Long	SumFunction operating on long source values.

Uses of AbstractFunction in microsim.statistics.weighted.functions

Subclasses of AbstractFunction in microsim.statistics.weighted.functions

Modifier and Type	Class	Description
class	AbstractWeightedArrayFunction	This class represents the skeleton for all the function which operate on array of native data type values, appropriately weighted by weights specified in a corresponding array of doubles.
class	Weighted_MeanArrayFunction	This class computes the (weighted) average (mean) value of an array of values taken from a data source, weighted by corresponding weights: weighted mean = sum (values * weights) / sum (weights) Note that the array of weights must have the same length as the array of values, otherwise an exception will be thrown.
class	Weighted_SumArrayFunction	This class computes the sum of an array of source values, with each element of the array multiplied by the weight of the source (the source must implement the Weight interface).
static class	Weighted_SumArrayFunction.Double	SumFunction operating on weighted double source values.
static class	Weighted_SumArrayFunction.Integer	SumFunction operating on weighted integer source values.
static class	Weighted_SumArrayFunction.Long	SumFunction operating on weighted long source values.