justRMA | R Documentation |
Read CEL files and compute an expression measure without using an AffyBatch.
just.rma(..., filenames = character(0),
phenoData = new("AnnotatedDataFrame"),
description = NULL,
notes = "",
compress = getOption("BioC")$affy$compress.cel,
rm.mask = FALSE, rm.outliers = FALSE, rm.extra = FALSE,
verbose=FALSE, background=TRUE, normalize=TRUE,
bgversion=2, destructive=FALSE, cdfname = NULL)
justRMA(..., filenames=character(0),
widget=getOption("BioC")$affy$use.widgets,
compress=getOption("BioC")$affy$compress.cel,
celfile.path=getwd(),
sampleNames=NULL,
phenoData=NULL,
description=NULL,
notes="",
rm.mask=FALSE, rm.outliers=FALSE, rm.extra=FALSE,
hdf5=FALSE, hdf5FilePath=NULL,verbose=FALSE,
normalize=TRUE, background=TRUE,
bgversion=2, destructive=FALSE, cdfname = NULL)
... |
file names separated by comma. |
filenames |
file names in a character vector. |
phenoData |
an
|
description |
a |
notes |
notes. |
compress |
are the CEL files compressed? |
rm.mask |
should the spots marked as 'MASKS' set to |
rm.outliers |
should the spots marked as 'OUTLIERS' set to |
rm.extra |
if |
hdf5 |
use of hdf5 ? (not available yet) |
hdf5FilePath |
a filename to use with hdf5 (not available yet). |
verbose |
verbosity flag. |
widget |
a logical specifying if widgets should be used. |
celfile.path |
a character denoting the path |
sampleNames |
a character vector of sample names to be used in the
|
normalize |
logical value. If |
background |
logical value. If |
bgversion |
integer value indicating which RMA background to use 1: use background similar to pure R rma background given in affy version 1.0 - 1.0.2 2: use background similar to pure R rma background given in affy version 1.1 and above |
destructive |
logical value. If |
cdfname |
Used to specify the name of an alternative cdf package. If set
to |
justRMA
is a wrapper for just.rma
that permits the user to read
in phenoData, MIAME information, and CEL files using widgets. One can also
define files where to read phenoData and MIAME information.
If the function is called with no arguments justRMA()
, then all the CEL
files in the working directory are read, converted to an expression measure
using RMA and put into an
ExpressionSet
.
However, the arguments give the user great flexibility.
phenoData
is read using read.AnnotatedDataFrame
.
If a character is given, it tries to read the file with that name to obtain the
AnnotatedDataFrame
object as described in read.AnnotatedDataFrame
.
If left NULL
and widget=FALSE
(widget=TRUE
is not currently
supported), then a default object is created.
It will be an object of class AnnotatedDataFrame
with its pData being a data.frame with column x indexing the CEL files.
description
is read using read.MIAME
. If a
character is given, it tries to read the file with that name to obtain a
MIAME
instance. If left NULL
but widget=TRUE
, then
widgets are used. If left NULL
and widget=FALSE
, then an
empty instance of MIAME
is created.
The arguments rm.masks
, rm.outliers
, rm.extra
are
passed along to the function read.celfile
.
An ExpressionSet
object, containing expression values identical to
what one would get from running rma
on an AffyBatch
.
In the beginning: James MacDonald <jmacdon@med.umich.edu> Supporting routines, maintenance and just.rma: Ben Bolstad <bmb@bmbolstad.com>
rma
, read.affybatch
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