MSImageProcess-class: Class Containing Mass Spectral Pre-Processing Information
Description
A class containing information about mass spectral pre-processsing operations. These should not usually be set by the user, and are automatically updated when processing methods are applied.
Slots
files:- Object of class
character storing the file paths to the raw data files used to create the dataset. normalization:- Object of class
character describing any normalization applied to the dataset. smoothing:- Object of class
character describing any smoothing applied to the dataset. baselineReduction:- Object of class
character describing baseline correction applied to the dataset. spectrumRepresentation:- Object of class
character describing the spectrum type (profile or centroid). peakPicking:- Object of class
character describing the peak picking applied to the dataset (area or height). centroided:- Object of class
logical describing whether the data have been centroided. history:- Object of class
list containing specific information about the function calls applied to the MSImageSet object to produce the current instance and their parameters. CardinalVersion:- Object of class
character indicating the version of Cardinal. .__classVersion__:- Object of class
Versions indicating the version of the MSImageProcess instance. Intended for developer use.
Extends
Class Versioned, directly.Creating Objects
MSImageProcess instances can be created through new("MSImageProcess"). In general, instances should not be created by the user, but are automatically generated by processing methods applied to MSImageSet objects.Methods
Class-specific methods:
prochistory(object), prochistory(object) <- value:- Accessor and setter for the history of methods applied to the experiment dataset.
files(object), files(object) <- value:- Accessor and setter function for
files. normalization(object), normalization(object) <- value:- Accessor and setter function for
normalization. smoothing(object), smoothing(object) <- value:- Accessor and setter function for
smoothing. baselineReduction(object), baselineReduction(object) <- value:- Accessor and setter function for
baselineReduction. spectrumRepresentation(object), spectrumRepresentation(object) <- value:- Accessor and setter function for
spectrumRepresentation. peakPicking(object), peakPicking(object) <- value:- Accessor and setter function for
peakPicking. centroided(object), centroided(object) <- value:- Accessor and setter function for
centroided.
Standard generic methods:
show:- Displays object content.
combine(x, y, ...):- Combine two or more
MSImageProcess objects.