Hi, I think error message is clear enough "mzR has been built against a
different Rcpp version".
mzR on bioconductor is built using Rcpp 0.10, and you are using Rcpp 0.11.
The solution I suggest is to install the mzR from source not using the
binary package.
Best,
KK
On Wed, Apr 2, 2014 at 6:24 AM, Zsurzsa Laszlo
<zsurzsalaszlo@gmail.com>wrote:
> Good morning everyone,
>
>
> I'm having the following error when I try to load the *mzR* libary.
Does
> someone have a clue where to search for a solution. I tried to re-install
> *mzR
> *and *Rcpp* also, but with no effect.
>
> -----------------------------------------------------------------
> > library(mzR)
> Lade nötiges Paket: Rcpp
> Error : .onLoad in loadNamespace() für 'mzR' fehlgeschlagen,
Details:
> Aufruf: value[[3L]](cond)
> Fehler: failed to load module Ramp from package mzR
> kann Vektor der Größe 13.2 GB nicht allozieren
> Zusätzlich: Warnmeldungen:
> 1: In fun(libname, pkgname) :
> mzR has been built against a different Rcpp version
> than is installed on your system. This might lead to errors
> when loading mzR. If you encounter such issues, please send
> a report, including the output of sessionInfo() to the Bioc
> mailing list -- http://www.bioconductor.org/help/mailing-list.
> 2: In Module(m, pkg, mustStart = TRUE) :
> Reached total allocation of 8183Mb: see help(memory.size)
> 3: In Module(m, pkg, mustStart = TRUE) :
> Reached total allocation of 8183Mb: see help(memory.size)
> 4: In Module(m, pkg, mustStart = TRUE) :
> Reached total allocation of 8183Mb: see help(memory.size)
> 5: In Module(m, pkg, mustStart = TRUE) :
> Reached total allocation of 8183Mb: see help(memory.size)
> Fehler: Laden von Paket oder Namensraum für 'mzR' fehlgeschlagen
> > sessionInfo()
> R version 3.0.3 (2014-03-06)
> Platform: x86_64-w64-mingw32/x64 (64-bit)
>
> locale:
> [1] LC_COLLATE=German_Germany.1252 LC_CTYPE=German_Germany.1252
> LC_MONETARY=German_Germany.1252 LC_NUMERIC=C
> [5] LC_TIME=German_Germany.1252
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> other attached packages:
> [1] Rcpp_0.11.1
>
> loaded via a namespace (and not attached):
> [1] Biobase_2.20.1 BiocGenerics_0.6.0 parallel_3.0.3
> -----------------------------------------------------------------
>
>
> Best Regards, László-András Zsurzsa
> Master of Informatics Student,
> Technical University Munich, Germany
>
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>
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
>
--
Qiang Kou
qkou@umail.iu.edu
School of Informatics and Computing, Indiana University
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