r package.
I'm eager to hear about your thoughts.
Thanks in advance for your time.
Markus Müller
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Cool
It works ;-)
Thanks a lot.
2014/1/21 Peter Meilstrup
> Try the function parseNamespaceFile in base. Not documented but its
> output should be understandable.
>
> Peter
>
> On Tue, Jan 21, 2014 at 5:41 AM, Markus Müller
> wrote:
> > For the purpose of automat
source those parsers should be certainly there)
I just don't know where to look for them.
Thanks in advance
Markus
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Thank You very much. This is a great help.
I would never ever have thought of either unRematchDefinition or getSrcref.
I will incorporate this new insight and report about any further
discoveries (or problems leading to them ;-))
Thanks again
Markus
2014/1/8 Duncan Murdoch
> On 14-01-07 2
setMethod(
+ f="initialize",
+ signature="MyClass",
+ definition=function # here are also comments but we can not retrieve
them
+ (.Object,value){
+ .Object@val<- value
+ return(.Object)
+ }
+ )
[1] "initialize"
>
> attr(getMethod("initialize","MyClass"),"srcref")
NULL
Is there a reason for this behavior, and more important still,
Ist there a way to get at the source of my constructors to document them
automatically?
Thanks in advance
Markus
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Hello Rune,
please use the mailinglist 'R-sig-hpc'
(https://stat.ethz.ch/mailman/listinfo/r-sig-hpc, do not forget to
register!) for this topic.
And please provide some more information:
* in R: sessionInfo()
* and your used operation system
Best
Markus
Rune Schjellerup Philos
Solved it myself: The single precision and complex BLAS routines were not
installed.
--
View this message in context:
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Sent from the R devel mailing list archive at Nabble.com.
_
> 1. use F77_CALL() to call matrix multiplication functions from blas.
> This should be ok as long as I remember that c and FORTRAN store
> matrices differently.
Concerning 1. you might want to look at some C++ wrapper for BLAS and Lapack
like http://flens.sourceforge.net, this makes things easie
pp:(.text+0x32a): undefined reference to `caxpy_'
cvm_arrays.o:cvm_arrays.cpp:(.text+0x421): undefined reference to `saxpy_'
...
To me it looks like somehow the BLAS routines are not called correctly under
Windows.
I would be very grateful if anybody could help me.
Thanks a lot,
Markus.
only
uses one core).
Is there some trick? Do I need to link the whole of R with parallel MKL?
Thanks a lot,
Markus.
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Sent from the R devel mailing list archive at
he Rd list. Giuseppe confirmed, that
DeinoMPI & Rmpi & the new version of snow is working very well.
See you in Seattle at the BioC2008 or Developer Day? I will fly to
Seattle tomorrow.
Best regards
Markus
> library(Rmpi)
> library(snow)
> c1<-makeCluster(3)
3 slav
Hello,
we are using Rmpi and snow on windows. It is working very well.
We are using Windows Server 2003 and *MPICH2.
I probably will manage to have some tests with the new snow
(*snow_0.3-3)* version this week.
Best
Markus
Martin Morgan schrieb:
[EMAIL PROTECTED] writes:
Guys,
I
form Munich
Markus
Luke Tierney schrieb:
A new version of the 'snow' package for parallel computing in R is
available at
http://www.stat.uiowa.edu/~luke/R/cluster/snow_0.3-3.tar.gz
This substantially revises the way in which worker processes are
started to allow snow to be used
file("Rslaves.sh", package = "Rmpi"),
slavearg = arg, nslaves = nslaves, info = 0, root = root,
intercomm = intercomm)
1: mpi.spawn.Rslaves(nslaves = 5)
There are no logfiles!
What was changed in the new version?
Best
Markus
--
Dipl.-Tech. Math. Markus Schmi
}
How I have to change my NAMESPACE file to fix this problem?
Thanks
Markus Schmidberger
*
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loc, I get the segfault a little later when it
calls S_alloc. So I'd like to fix the R_alloc/S_alloc problem, rather
than modifying the whole optim.c code.
Any hints how I can fix the R_alloc calls and avoid the segmentation faults?
Thanks!
Markus
_
quot;Rmpi, mpi.irecv.Robj")
(I have some problems with the mailinglist. I all the time got back the
message: "Message rejected by filter rule match")
Best
Markus Schmidberger
--
Dipl.-Tech. Math. Markus Schmidberger
Ludwig-Maximilians-Universität München
IBE - Institut für medizini
Hello,
in the package "Rmpi" (Version 0.5-5) I am missing the nonblocking
function "mpi.irecv.Robj".
Is there any reason for not having this function?
Best
Markus
--
Dipl.-Tech. Math. Markus Schmidberger
Ludwig-Maximilians-Universität München
IBE - Insti
Full_Name: Markus Breitenbach
Version: 2.5.1
OS: Windows
Submission from: (NULL) (70.58.24.243)
> cdcr <- read.delim("cdcr_flat_survival.dat")
> dim(cdcr)
[1] 7162 387
> cdcr
# results in stack overflow
# bug reproduced in 2.4.1/l
ideas for debugging?
I build Rmpi by my self with Rtools: Rcmd build --binary Rmpi_0.5-4\Rmpi
It is working well, but there is a warning: "this package has a
configure script. It probably needs manual configuration"
Are there any problems by this warning?
Best
Markus
--
Dipl.-
package="Rmpi"),
slavearg=arg,
nslaves=count)
} else{ # for unix
count <- mpi.comm.spawn(slave = "/usr/bin/env",
slavearg = args,
nslaves = count,
intercom
Hello,
I found your discussion about Rmpi and openMpi at the R-devels archive.
Did you managed to run Rmpi on openMPI (completely)?
We try to do this installation at a OS debian with the "openmpi-common"
package, but it is not working. For example there is no "mpi.h"
Tha
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