[R] lapack routines cannot be loaded [Help request]
Manca Marco (PATH)
m.manca at maastrichtuniversity.nl
Thu Nov 22 12:23:15 CET 2012
Dear BioConductor and R fellow users
I apologize in advance for double posting, but I am not sure which list would actually be best fit for this message.
I am experiencing a weird error with my R installation on Ubuntu 10.04.4 (LTS) 64bit:
When I run R on the terminal everything goes smoothly:
$R
R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
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However, as soon as I try to use limma (or WGCNA... I haven't tried other packages yet) the following mistake pops up ( lapack routines cannot be loaded )
>library(limma)
> fit <- lmFit(Data.rma, design)
Error in chol2inv(fit$qr$qr, size = fit$qr$rank) :
lapack routines cannot be loaded
In addition: Warning message:
In chol2inv(fit$qr$qr, size = fit$qr$rank) :
unable to load shared object '/usr/lib64/R/modules//lapack.so':
/usr/lib64/R/modules//lapack.so: undefined symbol: dpstrf_
>
It is independent of the dataset I am using.
I have already tried to recompile the whole BioConductor set of packages, and updated the general packages via CRAN, but nothing changed.
Following I am attaching my sessionInfo(), and you will find enclosed to this email the (incriminated) lapack.so file, should you be willing/able to take a look at it.
Any insights into what could be going on, and how to address the issue?
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.utf8 LC_NUMERIC=C
[3] LC_TIME=en_US.utf8 LC_COLLATE=en_US.utf8
[5] LC_MONETARY=en_US.utf8 LC_MESSAGES=en_US.utf8
[7] LC_PAPER=C LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.utf8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] limma_3.12.3 hgu133plus2cdf_2.10.0 AnnotationDbi_1.18.4
[4] affy_1.34.0 Biobase_2.16.0 BiocGenerics_0.2.0
loaded via a namespace (and not attached):
[1] affyio_1.24.0 BiocInstaller_1.4.9 DBI_0.2-5
[4] IRanges_1.14.4 preprocessCore_1.18.0 RSQLite_0.11.2
[7] stats4_2.15.2 tools_2.15.2 zlibbioc_1.2.0
Thank you in advance,
Marco
--
Dr Marco Manca
University of Maastricht
Faculty of Health, Medicine and Life Sciences (FHML)
Cardiovascular Research Institute (CARIM)
Mailing address: PO Box 616, 6200 MD Maastricht (The Netherlands)
Visiting address: UNS40 West building - 5th floor Room5.544, Universiteit Singel 40, 6229 HX Maastricht
E-mail: m.manca at maastrichtuniversity.nl
Office telephone: +31(0)433884289
Personal mobile: +31(0)626441205
Twitter: @markomanka
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