[BioC] Cyclic Loess
Martin Morgan
mtmorgan at fhcrc.org
Tue Oct 26 19:30:52 CEST 2010
On 10/26/2010 09:45 AM, viritha kaza wrote:
>
> Hi Morgan,
> The sessionInfo was
> R version 2.10.0 (2009-10-26)
> i386-pc-mingw32
> locale:
> [1] LC_COLLATE=English_United States.1252
> [2] LC_CTYPE=English_United States.1252
> [3] LC_MONETARY=English_United States.1252
> [4] LC_NUMERIC=C
> [5] LC_TIME=English_United States.1252
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
> loaded via a namespace (and not attached):
> [1] tools_2.10.0
you will want to update to the current released version of R, and to
install the current version of the affy package
source('http://bioconductor.org/biocLite.R')
biocLite('affy')
Provide sessionInfo() after attaching the affy package; I see something like
> sessionInfo()
R version 2.12.0 Patched (2010-10-17 r53355)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=C LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] affy_1.28.0 Biobase_2.10.0
loaded via a namespace (and not attached):
[1] affyio_1.18.0 preprocessCore_1.12.0 tools_2.12.0
and provide a simple and reproducible example to illustrate the problem
that you are having. For instance, I do not have a problem with
> m = matrix(rnorm(100000 * 100), nrow=100000, ncol=100)
> n = normalize.loess(m)
Here
exprs <- as.matrix(read.table("GSE__.txt[1]", header = TRUE,sep = "\t",
row.names = 1, as.is = TRUE))
it might be that you do not have a numeric matrix or other oddity;
confirm that it is as you expect.
Martin
>
> -Viritha
>
>
>
> On Tue, Oct 26, 2010 at 11:57 AM, Martin Morgan <mtmorgan at fhcrc.org
> <mailto:mtmorgan at fhcrc.org>> wrote:
>
> On 10/26/2010 08:10 AM, viritha kaza wrote:
> > Hi,
> > Let me explain the issue clearly.I have taken the agilent 4x44
> array series
> > matrix file from geo and removed the above information except the
> expression
> > data with ids in row 1 and column1 with GSMs.I am trying to
> normalise it
> > with cyclic loess method.
> >
> > exprs <- as.matrix(read.table("GSE__.txt[1]", header = TRUE,sep =
> "\t",
> > row.names = 1, as.is <http://as.is/> = TRUE))
> >
> > then to normlize i used
> >
> > normalize.loess(exprs,epsilon=1,log.it
> <http://log.it/>=F,span=0.4,maxit=2)
> >
> > when I am doing this it doesnot show any error but my system shuts
> down.I
> > guess this is because it is too much of processing.So is my method
> correct
> > or should I have to break it and analyze if so how do I do it?
>
> Hi Viritha --
>
> it is unlikely a problem of too much data but rather version
> incompatibility in installed packages. Tell us
>
> sessionInfo()
>
> after following
>
> http://bioconductor.org/install/index.html#update-bioconductor-packages
>
> Since 'exprs' is just a matrix provide us with a reproducible example
> using random data, exprs = matrix(<...>) where <...> is sufficient to
> generate the problem on your system.
>
> Martin
>
> >
> > I hope it is clear now.
> >
> > Thank you in advance,
> >
> > Viritha
> >
> > [[alternative HTML version deleted]]
> >
> > _______________________________________________
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>
>
> --
> Computational Biology
> Fred Hutchinson Cancer Research Center
> 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109
>
> Location: M1-B861
> Telephone: 206 667-2793
>
>
--
Computational Biology
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109
Location: M1-B861
Telephone: 206 667-2793
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