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.