Displaying 20 results from an estimated 300 matches similar to: "Connecting to "heterogenous" cluster using makeSOCKcluster of SNOW-package"
2009 Apr 09
0
Connecting to "heterogenous" cluster using makeSOCKcluster of SNOW-package
When trying to create (a very simple) cluster using makeSOCKcluster or
makeCluster I get the following error message:
> library(snow)
> cl <- makeSOCKcluster("localhost")
Fatal error: kann Datei
'~/R/i686-suse-linux-gnu-library/2.8/snow/RSOCKnode.R' nicht ?ffnen: Datei
oder Verzeichnis nicht gefunden
(translation: could not open file [...]: File or directory not
2006 Jan 16
0
Snow Rmpi Heterogeneous Cluster
Dear R-users,
I am trying to make Snow and Rmpi working on an heterogenous cluster of
linux computers. The master computer is built on a 64 bit architecture
whereas all nodes are built on a 32 bit architecture. LAM/MPI was
installed successfully on all machine. LAM boots correctly on the master
computer and it recognizes all nodes defined in the lamhosts file.
However, when starting R,
2010 May 12
1
snow makeCluster (makeSOCKcluster) not working in R-2.11
Hello,
I was using snow to parallel-process some code in R-2.10 (32-bit
windows. ). The code is as follows:
require(foreach)
require(doSNOW)
cl <- makeCluster(6, type='SOCK')
registerDoSNOW(cl)
bl2 <- foreach(i=icount(length(unqmrno))) %dopar% {
(some code here)
}
stopCluster(cl)
When I run the same code in Windows R-2.11 (either 32-bit or 64-bit), R
hangs at
2016 Apr 28
0
Snowfall - Error in checkForRemoteErrors(val) with sfClusterApplyLB()
Hello,
I'm trying to run a code that uses the snowfall package. Here is the structure of my code.
sfInit(parallel=T, cpus = 5, slaveOutfile="ErrorMessage.txt")
sfExportAll()
sfLibrary(rgdal)
sfLibrary(raster)
sfLibrary(sp)
sfLibrary(rgeos)
sfLibrary(snowfall)
system.time( sfClusterApplyLB(1:10, function(k) {
sfCat(paste("Iteration ", k),
2006 Sep 01
2
makeSOCKcluster
Hi,
I am a newbie to R and trying to implement parallelism in R. I am currently using R-2.3.1, and Cygwin to run R on Windows xp.
ssh and all are working fine,
When I try to create a socket connection as
makeSOCKcluster(c("localhost","localhost")),
it just waits for the other prcess on localhost to get created and respond. But this other process is
2013 Sep 27
1
snow::makeCluster on Windows hangs
The command which hangs:
I'm hoping there is a simple explanation, but I searched on-line and
nothing jumped out.
> cl <- makeCluster(type="SOCK",c("localhost"),manual=TRUE)
Manually start worker on localhost with
C:/PROGRA~1/R/R-214~1.2/bin/Rscript.exe "C:/Program
Files/R/R-2.14.2/library/snow/RSOCKnode.R" MASTER=localhost PORT=11944
OUT=/dev/null
2007 Aug 14
1
makeSOCKcluster
Hi,
I am attempting to implement a mixed (windows/linux) snow sockets
parallelism in R, but am running into difficulties similar to a post made
Aug 31, 2006 under the same subject heading. I feel like I may be one or
two non-obvious steps away from getting it all working, but I'm stuck. If
anyone can shed some light on this (I believe Prof. Tierney stated that he
has successfully run a
2012 Oct 04
1
(minor) R syntax error in help page to the function makeCluster of library(snow)
Dear list,
I just realized that one of the examples given in the help page to the
function makeCluster of the library(snow) has a small syntax error :
## to get started
library(snow)
?makeCluster
.. will open a halp page containing the command towards the end of the
examples :
cl <- makeCluster(c(rep(list(macOptions), 2), rep(list(lnxOptions), 2),
rep(list(winOptions),
2003 Feb 04
1
test for two samples
Hi R-users,
My question is more methodological one, rather than technical.
I have to samples representing residuals based on two measurements
techniques (resid1,resid2; n=69). I need to compare two samples, to
reject one technique (the worse one), and to keep the one which gave
lower residuals (better one). What to look for? What should I analyse?
Means, variance, std. deviations?
Based on
2009 Jan 09
1
snow and different R versions
Dear Luke and others,
I have many R versions on my machine and want to start a particular
one when snow builds its cluster. (The same version I start snow
from.) It seems that everything is set up correctly in
defaultClusterOptions:
> mget(ls(defaultClusterOptions), defaultClusterOptions)
$homogeneous
[1] TRUE
$manual
[1] FALSE
$master
nodename
"maya.unil.ch"
$outfile
[1]
2010 Feb 03
1
Package plm & heterogenous slopes
Dear r-helpers,
I am working with plm package. I am trying to fit a fixed effects (or
a 'within') model of the form
y_it = a_i + b_i*t + e_it, i.e. a model with an individual-specific
intercept and an individual-
specific slope.
Does plm support this directly?
Thanks in advance!
Otto Kassi
2006 Feb 03
0
Mixed-effects models / heterogenous covariances
> Message: 24
> Date: Tue, 31 Jan 2006 18:22:52 +0000
> From: "Lutz Ph. Breitling" <lutz.breitling at gmail.com>
> Subject: [R] Mixed-effects models / heterogeneous covariances
> To: r-help at stat.math.ethz.ch
> Message-ID:
> <2e38a1c80601311022i2e1be92doa60b80b50b69eb0c at mail.gmail.com>
> Content-Type: text/plain; charset=ISO-8859-1
>
> Dear
2012 Mar 01
0
XCP: Heterogenous CPU support inside of Xencenter?
If XCP supports Heterogenour CPU''s and Xencenter only supports it with
advanced editons, how will XCP handle it when being used with Xencenter. I
have a bunch of different Intel Cpu''s with different steppings and would
like to be able to live migrate from within xencenter. Now I have to use
the cli commands with my xenserver network and force the migration, but
looking to move to
2002 Aug 30
2
postscript() problem
Hi R-users,
I am using "postscript("xx.eps", horizontal=FALSE, onefile=FALSE,
height=6, width=10, pointsize=10)" and "barplot(xx.dat)" in R to produce
EPS graphics for LATeX document. When checking the graphics with "gv" I
see that it was not produced with full details. The main graphic is
there, but axes labels and titles are missing. While checking the
2002 Nov 26
4
how to identify the outliers
Hello R-users,
Is there any more sophisticated way how to identify the dataset
outliers other then seeing them in boxplot? I wanna exclude them from
further analysis and I am interested in their position in my vector
data.
Rado
--
Radoslav Bonk M.S.
Dept. of Physical Geography and Geoecology
Faculty of Sciences, Comenius University
Mlynska Dolina 842 15, Bratislava, SLOVAKIA
tel: +421 2 602
2010 Mar 03
2
[LLVMdev] LLVM for heterogenous platforms
Hi llvm,
it's for sure an obvious idea to use llvm as IR for heterogenous
platforms (e.g. CPU+GPU).
In theory someone could write plain C/C++ code, which by clang is
translated to llvm-IL and then
together with JIT-backends packed in an appropriate executable. Thus all
the limitations
and hassles of openCL or CUDA could be avoided. I wonder if there
already is a related project?
Of course in
2003 Sep 04
2
documents for writing functions
Hi,
Does anybody know suitable documents (manuals) on writing user functions
(covering loops, conditions ...) in R? Other than the usually available
manuals.
Thanks,
Rado
--
Radoslav Bonk M.S.
Dept. of Physical Geography and Geoecology
Faculty of Sciences, Comenius University
Mlynska Dolina 842 15, Bratislava, SLOVAKIA
tel: +421 905 968 127 e-mail: rbonk at host.sk
2006 Feb 16
0
sums of absolute deviations about the median as split function in rpart
Dear R community,
as stated in Breiman et.al. (1984) and De'Ath & Fabricius (2000) using
sums of absolute deviations about the median as an impurity measure
gives robust trees.
I would like to use this method in rpart.
Has somebody already tried this method in rpart? Is there maybe already
a script available somewhere?
I am aware of the possibility to define usersplits myself with
2002 Jul 08
2
matrix: rows to columns conversion
Hi,
I'm new to "R". I have a matrix of 6x12. I need to produce matrix of
12x6, such that rows in new matrix are columns from original matrix, and
columns in a new matrix are rows from the original one. I was playing
with rbind(), and cbind() with no success.
Regards,
-Rado
--
Radoslav Bonk M.S.
Dept. of Physical Geography and Geoecology
Faculty of Natural Sciences, Comenius
2003 Sep 23
3
number of distinct values in a dataframe
Hi R-users,
How can I found the number of a distinct values in a data frame
(occurrence of distinct values)? The dataframe consists of several
thousands integer numbers.
Thanks,
Rado
--
Radoslav Bonk M.S.
Dept. of Physical Geography and Geoecology
Faculty of Sciences, Comenius University
Mlynska Dolina 842 15, Bratislava, SLOVAKIA
tel: +421 905 968 127 e-mail: rbonk at host.sk