similar to: XAML

I am trying to install SrcStatConnectorSrv(2) and rcom from local zip files. I have successfully downloaded both files (from CRAN for rcom CRAN Other for SrcStatConnectorSrv) and installed rcom. However, I get the following error message when I try to install SrcStatConnectorSrv (the version dated 21-Aug-2006: > utils:::menuInstallLocal() Error in gzfile(file, "r") : unable to open

Guys, Is anyone using snowfall? It seems that the last version is broken. sfinit contains test code: data("config", package = "snowfall") configM <- as.matrix(t(config)) config <- as.list(configM) names(config) <- dimnames(configM)[[2]] .sfOption$SERVER <<- as.character(config[["SERVER"]]) .sfOption$PORT <<-

Guys, I'm running R on both Windows & Linux. I'm looking at a number of packages for parallel execution. It seems that the most used packages are "snow" and "Rmpi". snow seems more user friendly, but it doesn't run on windows. I see from searching the mailing list that I'm not the first one to try it on Windows. There was a message that kind of shed some

Guys, I'm having troubles with Rmpi on Linux. I got it to work on windows, but on Linux (SuSE 64 bit), using OpenMPI, I can't seem to get it to work :( When I do library(Rmpi) I get the warning: mca: base: component_find: unable to open osc pt2pt: file not found (ignored) Interestingly enough all the examples from the snow tutorial ( http://www.sfu.ca/~sblay/R/snow.html) work despite

Guys, I'm running LAM 7.1.4 and R/Rmpi on a SuSE 9.3 box. When I do >library(Rmpi) The whole thing crashes with the following message: ----------------------------------------------------------------------------- No SSI RPI modules said that they were available to run. This should only happen if you request an MPI thread level that is too high (for example, none of the SSI RPI modules

Hi All, I'm cannot get large files (i.e. >2GB) working with rsync 2.6.0 on HP-UX 11i. Here's the error: host% /usr/local/bin/rsync -v --rsync-path=/usr/local/bin/rsync --rsh=/opt/ssh/bin/ssh ./large.tar user@host:large2.tar large.tar rsync: writefd_unbuffered failed to write 32768 bytes: phase "unknown": Broken pipe rsync error: error in rsync protocol data stream (code 12)

Hi, I am looking at upgrading our existing Samba installs to 2.2.8 Some of the installations contain the parameter "shared mem size" in the smb.conf file. This parameter does not appear to be available in ver 2.2.8. Is there an alternative parameter or is this now defunct? Regards Jim Burns HSBC Group The HSBC Group's website is at http://www.hsbc.com

I get the following error message followed by instability in R after the error message: Error: Cannot pop the top-level viewport (grid and graphics output mixed?) Have reduced something much more complex in my code to a simple test case. I run the following and then resize the window: X = seq (1,10) Y = X^2 opar <- par(no.readonly=TRUE, mar = c(2.5, 3.1, 1, 2)) grid.newpage()

Hello, Using the technique suggested here ( https://stat.ethz.ch/pipermail/r-devel/2007-September/047028.html), we can update a matrix in place (see example 1 below), with huge time and memory savings. Is it possible to tweak example 2 to update in place also? The only difference is that the matrix is held within a new environment. Thanks, Simon # example 1 - fast and doesn't

Using R 2.10 on Windows: I have a filtered database of 650k event observations in a data frame with 20+ variables. I'd like to be able to quickly generate estimate and plot survival curves. However the survfit and cph() functions are extremely slow. As an example: I tried results.cox<-coxph(Surv(duration, success) ~ start_time + factor1+ factor2+ variable3, data=filteredData) #(took a

Using R 2.10 on Windows: I have a filtered database of 650k event observations in a data frame with 20+ variables. I'd like to be able to quickly generate estimate and plot survival curves. However the survfit and cph() functions are extremely slow. As an example: I tried results.cox<-coxph(Surv(duration, success) ~ start_time + factor1+ factor2+ variable3, data=filteredData) #(took a

I am running latest rsync version 2.6.8 on both ends. The receiver is a daemon. When I transfer a symbolic link like this: /tmp/rsync -av /opt/iat/IaT3.1.1/bin/* uxgary::root/opt/iat/IaT3.1/bin building file list ... done compile_plan.py -> ../python/compile_plan.py iat_status -> ../python/iat_status.py load_iat_xml.py -> ../python/load_iat_xml.py show_engine.py ->

Dear R devel, I have a C++ app that calls into embedded R to perform some analytic calculations. When my app encounters a segmentation fault, R always prints the following crash prompt and asks me to enter an action: *** caught segfault *** address 0x8, cause 'memory not mapped' Possible actions: 1: abort (with core dump, if enabled) 2: normal R exit 3: exit R without saving workspace

I''m thinking about how to set up the processes for Production puppet runs now. Being ultra-conservative here, we''d like to see what would happen before pressing the red button. I can run in noop mode, and everything is evaluated but nothing is done. A YAML report magically appears on the Puppetmaster which my script parses and spits out something the management can read

Hi, I'm hopping you can give me some advice, I work for a Financial Institute and we are very interested in implementing Samba as a file server running on AIX 5.3. Before we can think about implementing this we need to no if Samba has any limitation on number of folders, files and shares. The current file storage system is running on Windows 2003 server and has somewhere in the region of

Hi, I'm a newbie to tool 'iostat' and I've read the manual for iostat several times. But it doesn't help. I still get confused with the output of 'iostat', the manual seems too abstract, or high-level, for me. Let's post the output first: avg-cpu: %user %nice %sys %idle 5.70 0.00 3.15 91.15 Device: rrqm/s wrqm/s r/s w/s

Hi, I'd like to construct an R list object in C++, fill it with relevant data, and pass it to an R function which will return a different list object back. I have browsed through all the R manuals, and examples under tests/Embedding, but can't figure out the correct way. Below is my code snippet: #include <Rinternals.h> // Rf_initEmbeddedR and other setups already performed

Hello I want to share some common subroutines between my custom functions. Given the way Puppet loads the .rb files in $plugindest/puppet/parser/functions, does anyone know how should I lay this out? I tried creating a module myutilities def self.blah() ... end end (NOT within the newfunction() call) in one of the (top-level) functions'' .rb file. However, calling

Anyone think it would be useful to have files backed up to the filebucket even if they are not controlled by Puppet? 1 vote here. Derek ------------------------------------------------------------------------ For important statutory and regulatory disclosures and more information about Barclays Capital, please visit our web site at http://www.barcap.com. Internet communications are not secure

Hi all I''m working on my modular recursive Makefile & svn-backed home for my Puppet manifests, custom functions, types, etc. So I''m trying to put together individual modules, test targets and so on. I have noticed that the $libdir (and probably the other configuration options too) sources from puppet.conf are not overridden by specifying --libdir=blah on the commmand line