[BioC] RMA and justRMA error
aedin
aedin at jimmy.harvard.edu
Tue Aug 15 21:01:18 CEST 2006
Dear BioC
I know that this error is reported a few times on the Bioc mailing list,
however no resolution to it is available in the archives (or at least
none that google and I could find). I get the same error whether I use
R 2.3.1 or the devel version. I enclose the devel version error.
The cels files are read in by ReadAffy and are processed ok by gcrma,
however fall over when I try to run rma or justRMA.
Thanks for your help
Aedin
> df = justRMA(filenames=filenam[125:130])
Background correcting
Error in density.default(x, kernel = "epanechnikov", n = 2^14) :
need at least 2 points to select a bandwidth automatically
> df = ReadAffy(filenames=filenam[125:130])
> df
AffyBatch object
size of arrays=1164x1164 features (63518 kb)
cdf=HG-U133_Plus_2 (54675 affyids)
number of samples=6
number of genes=54675
annotation=hgu133plus2
> df.rma= rma(df)
Background correcting
Error in density.default(x, kernel = "epanechnikov", n = 2^14) :
need at least 2 points to select a bandwidth automatically
> library(gcrma)
> df.gcrma= gcrma(df)
Adjusting for optical effect......Done.
Computing affinities.Done.
Adjusting for non-specific binding......Done.
Normalizing
Calculating Expression
> sessionInfo()
R version 2.4.0 Under development (unstable) (2006-08-06 r38809)
i686-pc-linux-gnu
locale:
LC_CTYPE=en_US.UTF-8;LC_NUMERIC=C;LC_TIME=en_US.UTF-8;LC_COLLATE=en_US.UTF-8;LC_MONETARY=en_US.UTF-8;LC_MESSAGES=en_US.UTF-8;LC_PAPER=en_US.UTF-8;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US.UTF-8;LC_IDENTIFICATION=C
attached base packages:
[1] "splines" "tools" "methods" "stats" "graphics" "grDevices"
[7] "utils" "datasets" "base"
other attached packages:
hgu133plus2probe hgu133plus2cdf gcrma matchprobes
"1.12.0" "1.12.0" "2.5.1" "1.5.0"
affy affyio Biobase made4
"1.11.6" "1.1.5" "1.11.24" "1.7.1"
scatterplot3d ade4
"0.3-24" "1.4-1"
--
Aedín Culhane
Research Associate in Prof. J Quackenbush Lab
Harvard School of Public Health, Dana-Farber Cancer Institute
44 Binney Street, Mayer 232
Department of Biostatistics
Dana-Farber Cancer Institute
Boston, MA 02115
USA
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