| AbstractAutocorrelation<T extends DataContainer> |
Abstract ancestor for autocorrelation filters.
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| AbstractBatchFilter<T extends DataContainer> |
Ancestor for batch filters.
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| AbstractDatabaseConnectionFilter<T extends DataContainer> |
Ancestor for filters that require database access.
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| AbstractDerivative<T extends DataContainer> |
Abstract ancestor for Derivative filters.
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| AbstractDerivative.Point |
Container class for abundance and timestamp in double format.
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| AbstractEquiDistance<T extends DataContainer> |
Abstract ancestor for filters that equi-distance the data.
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| AbstractEquiDistanceWithOffset<T extends DataContainer> |
Abstract ancestor for filters that equi-distance the data.
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| AbstractFastWavelet<T extends DataContainer> |
Abstract ancestor for Wavelet filters based on the JSci library. |
| AbstractFFT<T extends DataContainer> |
Abstract ancestor for Fast Fourier Transform filters based on the JSci library. |
| AbstractFilter<T extends DataContainer> |
Abstract base class for filters.
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| AbstractFilter.FilterJob<T extends DataContainer> |
A job class specific to Filters.
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| AbstractGlobalDataContainerFilter<T extends DataContainer> |
Ancestor for global filters that are used to filter data containers coming
from the database or from files.
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| AbstractHistogram<T extends DataContainer> |
Ancestor for filters that generate a histogram from the incoming data.
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| AbstractLOWESS<T extends DataContainer> |
Abstract ancestor for LOWESS filters.
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| AbstractPreFilter<T extends DataContainer> |
Abstract ancestor for filters that use pre-filtered data as the basis
for manipulating the original data.
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| AbstractSavitzkyGolay<T extends DataContainer> |
Abstract ancestor for Savitzky-Golay filters.
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| AbstractSAX<T extends DataContainer> |
Ancestor for SAX filters.
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| AbstractScript |
Ancestor for filter scripts.
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| AbstractScriptedFilter |
Abstract ancestor for filters that execute external scripts.
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| AbstractSimpleSavitzkyGolay<T extends DataContainer> |
Abstract ancestor for simple Savitzky-Golay filters.
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| BaselineCorrection<T extends DataContainer> |
A filter that runs a baseline correction scheme over the data.
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| DownSample<T extends DataContainer> |
A filter that returns only every n-th data point.
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| DownSize<T extends DataContainer> |
A filter that picks a specified number of evenly spaced data points from the data.
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| Groovy |
A filter that uses a Groovy script for processing the data.
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| MultiFilter<T extends DataContainer> |
A meta-filter that runs multiple filters over the data.
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| OutlierDetector<T extends DataContainer> |
A filter that runs an outlier detector over the data and attaches the generated detections as notes to the chromatogram.
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| PassThrough<T extends DataContainer> |
A dummy filter that just passes the data through.
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| RemoveNoise<T extends DataContainer & Mergeable> |
A filter that removes noise from the data with a user-supplied noise level algorithm.
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| ReportFilter<T extends DataContainer> |
A filter that modifies the reports of data containers being passed through.
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| Scripted |
A filter that uses any scripting handler for processing the data with a script located in the specified file.
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| Smoothing<T extends DataContainer> |
A filter that runs a smoothing scheme over the data.
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| TimeseriesAutocorrelation |
Performs autocorrelation on the timeseries.
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| TimeseriesChangeResolution |
Generates a new timeseries with a (user-defined) fixed-length interval between data points.
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| TimeseriesDerivative |
A filter for generating derivatives of timeseries data.
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| TimeseriesEquiDistance |
A filter for interpolating the values of a time series.
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| TimeseriesFastWavelet |
A filter that transforms the data with a wavelet.
For more information see:
(2009).
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| TimeseriesFFT |
A filter that transforms the data with Fast Fourier Transform.
For more information see:
Mark Hale (2009).
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| TimeseriesHistogram |
Generates a histogram from the timeseries.
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| TimeseriesLOWESS |
A filter that applies LOWESS smoothing.
For more information see:
WikiPedia.
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| TimeseriesResetTimestamps |
Resets the timestamps, makes them start at the specified date/time.
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| TimeseriesRound |
Rounds the values of the timeseries points.
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| TimeseriesRowNorm |
Row wise normalization.
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| TimeseriesSavitzkyGolay |
A filter that applies Savitzky-Golay smoothing.
For more information see:
A.
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| TimeseriesSAX |
Performs Symbolic Aggregate approXimation (SAX).
The data must be normalized using adams.data.filter.RowNorm beforehand.
For more information see:
Chiu, B., Keogh, E., Lonardi, S. (2003).
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| TimeseriesSetStart |
Sets the starting point of the timeseries to a new fixed timestamp and all other data points accordingly.
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| TimeseriesShiftTimestamps |
Shifts the timestamps of the timeseries by a calculated amount.
The amount is either the difference between the 'new' timestamp and a timestamp from the report or a supplied timestamp.
Accepted date formats (unless custom format specified):
yyyy-MM-dd HH:mm:ss
yyyy-MM-dd HH:mm:ss.S
yyyy-MM-dd
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| TimeseriesShiftValues |
Shifts the values of the timeseries by the specified amount (up or down, depending on the sign).
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| TimeseriesValueSubset |
Generates a new timeseries with the first block of values that fits between the specified min/max (both included).
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| TimeseriesWindow |
Leaves only the specified window in the timeseries (borders included).
The matching can be inverted, i.e., everything but the window is returned.
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