normalizeQuantile.AffymetrixCelSet {aroma.affymetrix} | R Documentation |
Normalizes samples to have the same empirical distribution.
## S3 method for class 'AffymetrixCelSet': normalizeQuantile(this, path=NULL, name="normQuantile", subsetToUpdate=NULL, typesToUpdate=NULL, xTarget=NULL, subsetToAvg=subsetToUpdate, typesToAvg=typesToUpdate, ..., verbose=FALSE)
path |
The path where to save the normalized data files.
If NULL , a default name is used. |
name |
The name of the normalized data set, which will also be part of the default path. |
subsetToUpdate |
The probes to be updated.
If NULL , all probes are updated. |
typesToUpdate |
Types of probes to be updated. |
xTarget |
A numeric vector . The empirical distribution
to which all arrays should be normalized to. |
subsetToAvg |
The probes to calculate average empirical
distribution over. If a single numeric in (0,1), then this
fraction of all probes will be used.
If NULL , all probes are considered. |
typesToAvg |
Types of probes to be used when calculating the
average empirical distribution.
If "pm" and "mm" only perfect-match and mismatch
probes are used, respectively. If "pmmm" both types are used.
|
... |
Additional arguments passed to normalizeQuantile() . |
verbose |
See Verbose . |
Henrik Bengtsson (http://www.braju.com/R/)
normalizeQuantileRank.numeric
For more information see AffymetrixCelSet
.