Description Usage Arguments Details Value Author(s) Examples
Parallelization of the read.affybatch function. This parallel implementation is especially useful for multicore machines.
1 2 3 4 | read.affybatchPara(object,
phenoData = new("AnnotatedDataFrame"),
description = NULL, notes = "",
cluster, verbose=getOption("verbose"), cdfname)
|
object |
An object of a |
phenoData |
An AnnotatedDataFrame object. |
description |
a 'MIAME' object. |
notes |
notes. |
cluster |
A cluster object obtained from the function makeCluster in the SNOW package.
For default |
verbose |
A logical value. If |
cdfname |
cdfname to pass to the AffyBatch call |
Parallelized creation of an AffyBatch object. Especially useful on multi-core machines to accelerate the creation of the AffyBatch object.
For the serial function and more details see the function read.affybatch
.
For using this function a computer cluster using the SNOW package has to be started.
Starting the cluster with the command makeCluster
generates an cluster object in the affyPara environment (.affyParaInternalEnv) and
no cluster object in the global environment. The cluster object in the affyPara environment will be used as default cluster object,
therefore no more cluster object handling is required.
The makeXXXcluster
functions from the package SNOW can be used to create an cluster object in the global environment and
to use it for the preprocessing functions.
An AffyBatch object.
Markus Schmidberger schmidb@ibe.med.uni-muenchen.de, Ulrich Mansmann mansmann@ibe.med.uni-muenchen.de
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
library(affyPara)
if (require(affydata)) {
celpath <- system.file("celfiles", package="affydata")
fns <- list.celfiles(path=celpath,full.names=TRUE)
makeCluster(3)
##read a text celfile
abatch <- read.affybatchPara(fns[2], verbose=TRUE)
stopCluster()
}
## End(Not run)
|
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