[R-SIG-Mac] Does preprocessCore do ppc64?

Loren Engrav engrav at u.washington.edu
Fri Dec 14 06:03:18 CET 2007


Thank you so much
Tomorrow when the martini's have worn off will try it
But there is the one more question

I have installed from page <http://r.research.att.com/>
R-2.6-branch
R 2.6.1 Patched (2007-12-12)

Must I install
R-devel
R 2.7.0 Under development
(unstable) (2007-12-12)

Who knows, I may one day ReadAffy on 81 .cel files
Which was the original goal of all of this

My wife say doing this by hand would have been quicker

Thank you

-- 
Loren Engrav
Univ Washington
Seattle

> From: Benilton Carvalho <bcarvalh at jhsph.edu>
> Date: Thu, 13 Dec 2007 23:38:24 -0500
> To: Loren Engrav <engrav at u.washington.edu>
> Cc: "r-sig-mac at stat.math.ethz.ch" <r-sig-mac at stat.math.ethz.ch>
> Subject: Re: [R-SIG-Mac] Does preprocessCore do ppc64?
> 
> Hi Loren,
> 
> it seems you have all the tools to build the packages.
> 
> So, this is what you need:
> 
> 1) load R from the command line using the 64 bits mode
> 2) type: source("http://www.bioconductor.org/biocLite.R")
> 3) type, note the "type" argument:
> 
> biocLite(c("Biobase", "affy", "preprocessCore"), type="source")
> 
> this will download the *source*, compile and install (64 bits)....
> 
> because R is under /Library (I assume), you want to load R using "sudo"
> 
> sudo R --arch=ppc64
> 
> btw, you want to repeat the same procedure for other packages you
> might need
> 
> b
> 
> On Dec 13, 2007, at 11:29 PM, Loren Engrav wrote:
> 
>> Thank you, maybe is coming into focus
>> 
>>>> Then I run R.app with options(arch="ppc64") in .Rprofile
>>>> That is a really bad idea (see the response you got previously).
>> 
>> Would appear that I have proven what you say is true
>> 
>>>> I bet you didn't install the package from sources. CRAN/BioC offer
>>>> 32-
>>>> bit package binaries only, so you have to install all packages from
>>>> sources (i.e. you must use type='source' in install.packages). Also
>>>> you need all the necessary tools for this (please read the page you
>>>> got the binaries from).
>> 
>> Couple lines up I included
>> 
>>>>> source("http://bioconductor.org/biocLite.R")
>>>>> biocLite("preprocessCore")
>> 
>> Again proving you correct
>> 
>> And I see the directions on <http://r.research.att.com/> are
>> changing which
>> is good for R/Bio R1's
>> 
>> So now what I wish to do is 64bit Readaffy
>> And can use 64bit command line which is painful but would work
>> But have no 64bit Bio packages
>> 
>> As I understand now
>> To get 64bit R.app I must get the tools and build it
>> To get 64bit Bio packages I must get the tools and build them
>> 
>> I might try this being this deep into this and finding it rather fun
>> 
>> One question before I start
>> You say
>>> note that R 2.6.1 doesn't have Quartz support in 64-bit, so the GUI
>>> won't be of much use. You have to use R-devel for Quartz in 64-bit.
>> 
>> This means that from <http://r.research.att.com/>
>>> R-2.6-branch
>>> R 2.6.1 Patched (2007-12-12)
>> Will not work, I MUST use
>>> R-devel
>>> R 2.7.0 Under development
>>> (unstable) (2007-12-12)
>> True? Even tho neither include R.app?
>> 
>> In preparation for this I have installed
>> Xcode 3 from the Leopard DVD
>> And
>> GNU Fortan 4.2.1
>> And
>> Will install LaTeX after massive download done
>> 
>> And did in Terminal...
>> export PATH=$PATH:/usr/local/bin
>> and
>> curl -s -S http://r.research.att.com/readline-5.2-1-quad.tar.gz|sudo
>> tar fxz
>> - -C /
>> and
>> curl -s -S http://r.research.att.com/jpegpng-quad.tar.gz|sudo tar
>> fxz - -C /
>> 
>> 
>> And of course, maybe I should bag it, admit I am over my head, and
>> let some
>> "expert" with dChip do it
>> 
>> But then what the hell? Why not try it, if you can tolerate my
>> questions
>> that is, and I am closer to ReadAffy 64bit 81 cell as I now have
>> command
>> line 64bit R
>> 
>> -- 
>> Loren Engrav
>> Univ Washington
>> Seattle
>> 
>>> From: Simon Urbanek <simon.urbanek at r-project.org>
>>> Date: Thu, 13 Dec 2007 19:39:52 -0500
>>> To: Loren Engrav <engrav at u.washington.edu>
>>> Cc: "r-sig-mac at stat.math.ethz.ch" <r-sig-mac at stat.math.ethz.ch>
>>> Subject: Re: [R-SIG-Mac] Does preprocessCore do ppc64?
>>> 
>>> 
>>> On Dec 13, 2007, at 5:58 PM, Loren Engrav wrote:
>>> 
>>>> Thank you, was helpful, is complicated for this geezer, but
>>>> interesting
>>>> 
>>>> The whole goal is to ReadAffy() on 81 chips which seems to need 64
>>>> bit to
>>>> avoid "cannot allocate vector...." error (or reduce chips or analyze
>>>> in
>>>> pieces but not yet ready to give up on this)
>>>> 
>>>> Other advisors advised
>>>> 
>>>> "Install Leopard 10.5.1
>>>> 
>>>> Now install either
>>>>   R-2.6-branch-leopard-universal.tar.gz
>>>> or
>>>>   R-devel-leopard-universal.tar.gz
>>>> depending on which version of BioC you want to use: the former is
>>>> for BioC
>>>> 2.1 (the current release) and the latter for BioC 2.2 (the current
>>>> devel).
>>>> 
>>>> Then start R with --arch=ppc64 and you will be running in 64-bit
>>>> mode."
>>>> 
>>>> So I installed Leopard and R-2.6-branch and start with R --
>>>> arch=ppc64
>>>> 
>>>> =========
>>>> and as you suggested while running Command Line
>>>> 
>>>>> version
>>>>              _
>>>> platform       powerpc-apple-darwin9.0.0
>>>> arch           powerpc
>>>> os             darwin9.0.0
>>>> system         powerpc, darwin9.0.0
>>>> status         Patched
>>>> major          2
>>>> minor          6.1
>>>> year           2007
>>>> month          12
>>>> day            12
>>>> svn rev        43661
>>>> language       R
>>>> version.string R version 2.6.1 Patched (2007-12-12 r43661)
>>>> 
>>>>> .Machine$sizeof.pointer == 8
>>>> [1] TRUE
>>>> 
>>>>> R.version$arch
>>>> [1] "powerpc"
>>>> 
>>>>> .Platform$r_arch
>>>> [1] "ppc64"
>>>> 
>>>> ============
>>>> Then I run R.app with options(arch="ppc64") in .Rprofile
>>>> 
>>> 
>>> That is a really bad idea (see the response you got previously). You
>>> cannot change the architecture in a running R and you also cannot use
>>> 32-bit R.app with 64-bit R. If you want 64-bit R and the GUI, you
>>> have
>>> to use 64-bit R.app (which you have to build from the sources). Also
>>> note that R 2.6.1 doesn't have Quartz support in 64-bit, so the GUI
>>> won't be of much use. You have to use R-devel for Quartz in 64-bit.
>>> 
>>> 
>>>> And get
>>>> 
>>>>> version
>>>>              _
>>>> platform       powerpc-apple-darwin9.1.0
>>>> arch           powerpc
>>>> os             darwin9.1.0
>>>> system         powerpc, darwin9.1.0
>>>> status         Patched
>>>> major          2
>>>> minor          6.1
>>>> year           2007
>>>> month          12
>>>> day            12
>>>> svn rev        43661
>>>> language       R
>>>> version.string R version 2.6.1 Patched (2007-12-12 r43661)
>>>> 
>>>>> .Machine$sizeof.pointer == 8
>>>> [1] FALSE
>>>> 
>>>>> R.version$arch
>>>> [1] "powerpc"
>>>> 
>>>>> .Platform$r_arch
>>>> [1] "ppc"
>>>>> 
>>>> 
>>>> So would then seem at Command Line I have 64 but in R.app I do not
>>>> 
>>>> ============
>>>> Then I try biocLite("preprocessCore") at Command Line and returns
>>>> 
>>>>> .Platform$r_arch
>>>> [1] "ppc64"
>>>>> sessionInfo()
>>>> R version 2.6.1 Patched (2007-12-12 r43661)
>>>> powerpc-apple-darwin9.0.0
>>>> 
>>>> locale:
>>>> en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>>>> 
>>>> attached base packages:
>>>> [1] stats     graphics  grDevices utils     datasets  methods   base
>>>> 
>>>> loaded via a namespace (and not attached):
>>>> [1] rcompgen_0.1-17
>>>>> source("http://bioconductor.org/biocLite.R")
>>>>> biocLite("preprocessCore")
>>>> 
>>>> Running biocinstall version 2.1.8 with R version 2.6.1
>>>> Your version of R requires version 2.1 of Bioconductor.
>>>> trying URL
>>>> 
'http://bioconductor.org/packages/2.1/bioc/bin/macosx/universal/contrib/2.6>>>>
/
>>>> preprocessCore_1.0.0.tgz'
>>>> Content type 'application/x-gzip' length 157468 bytes (153 Kb)
>>>> opened URL
>>>> ==================================================
>>>> downloaded 153 Kb
>>>> 
>>>> 
>>>> The downloaded packages are in
>>>> 
>>>> /var/folders/-O/-O2rx2VN2RWJgU+8ZMxMx++++TI/-Tmp-//RtmpHcRo5R/
>>>> downloaded_pac
>>>> kages
>>>>> library(preprocessCore)
>>>> Error: package 'preprocessCore' is not installed for 'arch=ppc64'
>>>>> 
>>>> 
>>> 
>>> I bet you didn't install the package from sources. CRAN/BioC offer
>>> 32-
>>> bit package binaries only, so you have to install all packages from
>>> sources (i.e. you must use type='source' in install.packages). Also
>>> you need all the necessary tools for this (please read the page you
>>> got the binaries from).
>>> 
>>> Cheers,
>>> Simon
>>> 
>>> 
>>>> ===============
>>>> Then I try same with R.app and returns
>>>> 
>>>>> .Platform$r_arch
>>>> [1] "ppc"
>>>>> sessionInfo()
>>>> R version 2.6.1 Patched (2007-12-12 r43661)
>>>> powerpc-apple-darwin9.1.0
>>>> 
>>>> locale:
>>>> en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
>>>> 
>>>> attached base packages:
>>>> [1] stats     graphics  grDevices utils     datasets  methods   base
>>>>> 
>>>> 
>>>>> source("http://bioconductor.org/biocLite.R")
>>>>> biocLite("preprocessCore")
>>>> Running biocinstall version 2.1.8 with R version 2.6.1
>>>> Your version of R requires version 2.1 of Bioconductor.
>>>> trying URL
>>>> 
'http://bioconductor.org/packages/2.1/bioc/bin/macosx/universal/contrib/2.6>>>>
/
>>>> preprocessCore_1.0.0.tgz'
>>>> Content type 'application/x-gzip' length 157468 bytes (153 Kb)
>>>> opened URL
>>>> ==================================================
>>>> downloaded 153 Kb
>>>> 
>>>> 
>>>> The downloaded packages are in
>>>> 
>>>> /var/folders/-O/-O2rx2VN2RWJgU+8ZMxMx++++TI/-Tmp-//Rtmp3VK9Rw/
>>>> downloaded_pac
>>>> kages
>>>> 
>>>> 
>>>>> library(preprocessCore)
>>>> Error in dyn.load(file, ...) :
>>>> unable to load shared library
>>>> '/Library/Frameworks/R.framework/Resources/library/preprocessCore/
>>>> libs/ppc/p
>>>> reprocessCore.so':
>>>> 
>>>> dlopen(/Library/Frameworks/R.framework/Resources/library/
>>>> preprocessCore/libs
>>>> /ppc/preprocessCore.so, 5): Library not loaded:
>>>> /Library/Frameworks/R.framework/Versions/2.6/Resources/lib/
>>>> libgfortran.2.dyl
>>>> ib
>>>> Referenced from:
>>>> /Library/Frameworks/R.framework/Resources/library/preprocessCore/
>>>> libs/ppc/pr
>>>> eprocessCore.so
>>>> Reason: image not found
>>>> Error in library(preprocessCore) : .First.lib failed for
>>>> 'preprocessCore'
>>>> 
>>>> =============
>>>> So to me seems with your investigative advice
>>>> 1) I have 64bit at command line
>>>> 2) I do not have 64bit in R.app
>>>> 3) preprocessCore is not 64bit (and other packages)
>>>> 
>>>> So I am closer to 64bit ReadAffy of 81 files but still not there
>>>> 
>>>> With your serious knowledge, how should I get to 64bit ReadAffy
>>>> 
>>>> Thank you
>>>> 
>>>> 
>>>> 
>>>> 
>>>> 
>>>>> From: Prof Brian Ripley <ripley at stats.ox.ac.uk>
>>>>> Date: Thu, 13 Dec 2007 17:00:36 +0000 (GMT)
>>>>> To: Loren Engrav <engrav at u.washington.edu>
>>>>> Cc: "r-sig-mac at stat.math.ethz.ch" <r-sig-mac at stat.math.ethz.ch>
>>>>> Subject: Re: [R-SIG-Mac] Does preprocessCore do ppc64?
>>>>> 
>>>>> The short answer is that the BioC binary packages are not 64-bit.
>>>>> But
>>>>> then neither is the CRAN build of R 2.6.1 nor the CRAN binary
>>>>> packages.
>>>>> 
>>>>> And very likely you are running a 32-bit R.
>>>>> 
>>>>> On Thu, 13 Dec 2007, Loren Engrav wrote:
>>>>> 
>>>>>> I tried
>>>>>> options(arch="ppc64") in Rprofile
>>>>>> and seems to have worked,
>>>>> 
>>>>> I am sure it 'worked' for some value of 'worked', but what do you
>>>>> think it
>>>>> did?  You can't change the architecture of a running R process (and
>>>>> you
>>>>> need a running R process to use R code ...).  You find out whether
>>>>> the
>>>>> process is 64-bit by checking
>>>>> 
>>>>> .Machine$sizeof.pointer == 8
>>>>> 
>>>>> and R.version$arch will also indicate the architecture name (x86_64
>>>>> on my
>>>>> Macintel builds).
>>>>> 
>>>>> The sub-architecture (if any) of the running process is given by
>>>>> .Platform$r_arch and the user cannot change it (it was set at
>>>>> configure
>>>>> time).  From the output below, that is 'ppc'.  Not only do the
>>>>> architectures need to match, but do the sub-architecture settings:
>>>>> this is
>>>>> easy to achieve when building everything yourself, but not when
>>>>> taking
>>>>> binaries built on different systems by different people at
>>>>> different
>>>>> times.
>>>>> 
>>>>> So, it seems
>>>>> 
>>>>> - you are running a 32-bit R.
>>>>> - you are missing a Fortran library.
>>>>> 
>>>>> Please do try to deduce from the output what the problem is, not
>>>>> guess and
>>>>> never test your guesses.
>>>>> 
>>>>>> I think R.app is ppc64 in Leopard
>>>>> 
>>>>> The CRAN build of 2.6.1 is not, and you haven't told us which build
>>>>> you
>>>>> are using.
>>>>> 
>>>>> AFAIK if you want 64-bit, you need to build packages from sources.
>>>>> 
>>>>> How to set all this up is AFAIK not fully documented, for the very
>>>>> good
>>>>> reason that it is *experimental*.  My understanding is that it is
>>>>> intended
>>>>> to support 64-bit MacOS binary builds from R 2.7.0 only.
>>>>> 
>>>>> 
>>>>> 
>>>>>> But affy will not load as requires preprocessCore
>>>>>> 
>>>>>> Library(preprocessCore) returns
>>>>>> 
>>>>>> Error in dyn.load(file, ...) :
>>>>>> unable to load shared library
>>>>>> '/Library/Frameworks/R.framework/Resources/library/preprocessCore/
>>>>>> libs/ppc/p
>>>>>> reprocessCore.so':
>>>>>> 
>>>>>> dlopen(/Library/Frameworks/R.framework/Resources/library/
>>>>>> preprocessCore/libs
>>>>>> /ppc/preprocessCore.so, 5): Library not loaded:
>>>>>> /Library/Frameworks/R.framework/Versions/2.6/Resources/lib/
>>>>>> libgfortran.2.dyl
>>>>>> ib
>>>>>> Referenced from:
>>>>>> /Library/Frameworks/R.framework/Resources/library/preprocessCore/
>>>>>> libs/ppc/pr
>>>>>> eprocessCore.so
>>>>>> Reason: image not found
>>>>>> Error in library(preprocessCore) : .First.lib failed for
>>>>>> 'preprocessCore'
>>>>>> 
>>>>>> I check libs in preprocessCore and find i386 and ppc, no ppc64
>>>>>> 
>>>>>> Does this mean preprocessCore as it stands does not do ppc64? Or I
>>>>>> am
>>>>>> getting the wrong one? Or I must build 64bit? Or?
>>>>>> 
>>>>>> The original thread is in Bio but this seems like a Mac specific
>>>>>> question
>>>>>> 
>>>>>> Thank you
>>>>>> 
>>>>>> 
>>>>> 
>>>>> -- 
>>>>> Brian D. Ripley,                  ripley at stats.ox.ac.uk
>>>>> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/
>>>>> ~ripley/
>>>>> University of Oxford,             Tel:  +44 1865 272861 (self)
>>>>> 1 South Parks Road,                     +44 1865 272866 (PA)
>>>>> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
>>>> 
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