MSImageProcess-class {Cardinal} | R Documentation |
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.
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.
Class Versioned
, directly.
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.
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.
Kylie A. Bemis
showClass("MSImageProcess")