Uses of Interface
microsim.statistics.UpdatableSource
Packages that use UpdatableSource
Package
Description
-
Uses of UpdatableSource in microsim.statistics
Classes in microsim.statistics that implement UpdatableSourceModifier and TypeClassDescriptionclassA cross-section is a collection of values each of them representing the status of a given variable of an element of a collection of agents.static classstatic classstatic classclassA series is a sequential collection of values coming from a given variable source over time.static classstatic classstatic classclassA container for multiple synchronized time series. -
Uses of UpdatableSource in microsim.statistics.functions
Classes in microsim.statistics.functions that implement UpdatableSourceModifier and TypeClassDescriptionclassThis class represents the skeleton for all the function which operate on array of native data type values.classAn abstract skeleton for the statistical function able to manage update time checking.classThis class computes the number of values in an array taken from a data source.classThis class computes the maximum value in an array of source values.static classMaxFunction operating on double source values.static classMaxFunction operating on integer source values.static classMaxFunction operating on long source values.classA MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.static classAn implementation of the Memoryless Series class, which manages double type data sources.static classAn implementation of the Memoryless Series class, which manages integer type data sources.static classAn implementation of the Memoryless Series class, which manages long type data sources.classThis class computes the average value of an array of values taken from a data source.classThis class computes the average and variance value of an array of values taken from a data source.classThis class computes the minimum value in an array of source values.static classMinFunction operating on double source values.static classMinFunction operating on integer source values.static classMinFunction operating on long source values.classA MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.static classAn implementation of the Memoryless Series class, which manages double type data sources.static classAn implementation of the Memoryless Series class, which manages integer type data sources.static classAn implementation of the Memoryless Series class, which manages long type data sources.classThis class computes the average of the last given number of values in an array taken from a data source.classThis class computes the average of the last values collected from a data source.classA MixFunction object is to collect data over time, computing some statistics on the fly, without storing the data in memory.static classAn implementation of the Memoryless Series class, which manages double type data sources.static classAn implementation of the Memoryless Series class, which manages integer type data sources.static classAn implementation of the Memoryless Series class, which manages long type data sources.classThis function calculates percentiles (p1,p5,p10-p90,p95,p99) for a given cross-section of data.classThis class computes the sum of an array of source values.static classSumFunction operating on double source values.static classSumFunction operating on integer source values.static classSumFunction operating on long source values. -
Uses of UpdatableSource in microsim.statistics.weighted
Classes in microsim.statistics.weighted that implement UpdatableSourceModifier and TypeClassDescriptionclassA weighted cross-section is a collection of values each of them representing the status of a given variable of a weighted element of a collection of agents.static classstatic classstatic class -
Uses of UpdatableSource in microsim.statistics.weighted.functions
Classes in microsim.statistics.weighted.functions that implement UpdatableSourceModifier and TypeClassDescriptionclassThis 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.classThis 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.classThis 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 theWeightinterface).static classSumFunction operating on weighted double source values.static classSumFunction operating on weighted integer source values.static classSumFunction operating on weighted long source values.