Uses of Interface
org.epics.archiverappliance.retrieval.postprocessors.PostProcessorWithConsolidatedEventStream

Packages that use PostProcessorWithConsolidatedEventStream

Package	Description
org.epics.archiverappliance.retrieval.postprocessors	Classes and interfaces implementing the various post processors.

Uses of PostProcessorWithConsolidatedEventStream in org.epics.archiverappliance.retrieval.postprocessors

Classes in org.epics.archiverappliance.retrieval.postprocessors that implement PostProcessorWithConsolidatedEventStream

Modifier and Type	Class	Description
class	CAPlotBinning	Approx implementation of ChannelArchiver plotbinning for Michael Davidsaver From the doc If there is no sample for the time span of a bin, the bin remains empty. If there is one sample, it is placed in the bin. If there are two samples, they are placed in the bin If there are more than two samples, the first and last one are placed in the bin.
class	Count	Counts the number of items in an interval.
class	ErrorBars	Similar to the mean operator; in additon, the stdz is passed in as an extra column
class	FirstFill	Similar to the firstSample operator with the exception that we alter the timestamp to the middle of the bin and copy over the previous bin's value if a bin does not have any samples.
class	Jitter	Implements SummaryStatistics.getStandardDeviation()/SummaryStatistics.getMean()
class	Kurtosis	Implements the kurtosis over a bin.
class	LastFill	Similar to the firstFill operator with the exception that we use the last sample in the bin.
class	LastSample	Similar to the firstSample operator with the exception that we use the last sample in the bin.\
class	LinearInterpolation	Implements the arithmetic mean across an interval
class	LoessInterpolation	Implements the arithmetic mean across an interval
class	Max	Implements the max item in an interval
class	Mean	Implements the arithmetic mean across an interval
class	Median	Implements the median over a bin.
class	Min	Implements the min item in an interval
class	NCount	NCount is a post processor which returns number of samples in a selected time span.
class	Nth	Nth is a post processor which returns every n-th value.
class	Optimized	Optimized expects one parameter at initialization, which is the number of requested points.
class	OptimizedWithLastSample	OptimizedWithLastSample expects one parameter at initialization, which is the number of requested points.
class	PopulationVariance	Implements the SummaryStatistics.getPopulationVariance
class	RMS	Implements the RMS across an interval
class	Skewness	Implements the skewness over a bin.
class	StandardDeviation	Implements the RMS across an interval
class	Statistics	Statistics is a post processor which provides a set of statistical numbers for a specific bin.
class	SummaryStatsPostProcessor	Abstract class for various operators that operate on a SummaryStatistics Child classes implement the getIdentity and the getStats method.
class	Variance	Implements the SummaryStatistics.getVariance