The PrincipalCurveNormalization class

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Description

Package: aroma.cn
Class PrincipalCurveNormalization

Object
~~|
~~+--AbstractCurveNormalization
~~~~~~~|
~~~~~~~+--PrincipalCurveNormalization

Directly known subclasses:

public static class PrincipalCurveNormalization
extends AbstractCurveNormalization

Usage

1

Arguments

...

Arguments passed to AbstractCurveNormalization.

subset

A double in (0,1] specifying the fraction of the subsetToFit to be used for fitting. Since the fit function for this class is rather slow, the default is to use a 1/20:th of the default data points.

Fields and Methods

Methods:
No methods defined.

Methods inherited from AbstractCurveNormalization:
as.character, backtransformOne, fitOne, getAsteriskTags, getDataSets, getFullName, getInputDataSet, getName, getOutputDataSet, getPairedDataSet, getPath, getRootPath, getSubsetToFit, getTags, getTargetDataSet, nbrOfFiles, process, setTags

Methods inherited from Object:
$, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, save, asThis

Author(s)

Henrik Bengtsson

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