MatSmoothing {aroma.affymetrix} | R Documentation |
Package: aroma.affymetrix
Class MatSmoothing
Object
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AromaTransform
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Transform
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ProbeLevelTransform
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MatSmoothing
Directly known subclasses:
public static class MatSmoothing
extends ProbeLevelTransform
This class represents a function for smoothing data with a trimmed mean.
MatSmoothing(..., design=NULL, probeWindow=300, nProbes=10, meanTrim=0.1)
... |
Arguments passed to ProbeLevelTransform . |
design |
A design matrix . |
probeWindow |
Bandwidth to use. Effectively the width is 2*probeWindow since it looks probeWindow bases in either direction. |
nProbes |
The minimum number of probes to calculate a MAT score for. |
meanTrim |
The amount of trimming of the mean in [0,0.5]. |
Methods:
process | Processes the data set. |
Methods inherited from Transform:
getOutputDataSet, getOutputDataSetOLD20090509, getOutputFiles
Methods inherited from AromaTransform:
getExpectedOutputFiles, getExpectedOutputFullnames, getFullName, getInputDataSet, getName, getOutputDataSet, getOutputDataSet0, getOutputFiles, getPath, getTags, isDone, process, setTags
Methods inherited from Object:
asThis, $, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clone, detach, equals, extend, finalize, gc, getEnvironment, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, registerFinalizer, save
Mark Robinson (mrobinson[at]wehi.edu.au).