similar to: passing the reference in R functions

Hi all, Thanks to everybody who thought on this problem, there was slight mistake in the fortran code which lead to NULL pointer allocation error, but still it surprises me that why it does not crib in the first run. The compiler I am using is absoft fortran compiler. Cheers, -Jag Jagadish Rangrej ( Statistician ) CHEO Research Institute, Ottawa, ON 613-7383951 > -----Original Message-----

Dear all!! I am using R1.4.1 on windows 98. I had been trying to organize the package and has already been able to document some of the functions in to .Rd (R documentation) files. From these .Rd files I generated plain text files as well as html files. I have also given the 00Index file in each of the directories: html/ help/ data/ man/ Problem: I don't get the help using comand

hello everybody!! I am using "Rcmd BATCH" command to run simulation on R in batch mode on win98 machine. Would it be possible to increase the memory size of R; if so how and what is the default memory size used, and what is the limit to which I can increase the memory size. My machine configurations: 512MB Ram with Intel P-III processor working at 1GHz speed. Win98 and R 1.4.1

Full_Name: Jagadish Rangrej Version: 1.5.1 OS: windows 2000 Submission from: (NULL) (192.139.231.5) I have produced one package using >Rcmd install pubbias (pubbias is the name of pkg), to move it to any new computer, I take the zip file of, "Program file\R\rw1051\library\pubbias" and install it using menu option in R for installing from local zip files. It gives the error :

Dear all: I want to divide the graphing window in to three plots such that two plots are on the top and one at the bottom. The upper two plots are of equal sizes that cover 50% of the Window, third plot spans the lower half portion of the Window completely. How do I do that, I tried layout and other options but they seem to have the matrix options which does not solve my problem. Any help or

Hi, I am trying to setup Xen to use "PV on HVM". For this, I did the following. (1) I followed the tutorial at http://wiki.xensource.com/xenwiki/Fedora13Xen4Tutorial to setup Xen4.0.1 on Fedora13. I am able to run virt-manager and create a Fedora 13 guest. (2) I followed the tutorial at http://bderzhavets.wordpress.com/2010/05/27/pv-on-hvm-at-xen-4-0-on-top-of-fedora-13/to use PV on

Hello, I am doing a course project of "Adding the strength reduction in existing GVNPRE implementation". But the problem which I am facing is that for many sample programs I tried, the "gvnpre" pass of opt doesn't perform PRE and it leaves the code as it is. This is my sample program and it should do PRE on it but opt is not performing it. Kindly help me out in this part.

Dear Mr. Samir, We are using RedHat 7.2. We are getting same error as reported by you some time back (given below). Did you get any solution? Regards C Jagadish Your original message: ====================== I m running RedHat 9 Linux and I have the rsync-2.5.5-4 package. When I m trying to the following: [root at myhost_name root]# /usr/bin/rsync -va 10.0.8.190:usr/local/src

Hi, In the example below why is d 10 times bigger than m, according to object.size ? It also takes around 10 times as long to create, which fits with object.size() being truthful. gcinfo(TRUE) also indicates a great deal more garbage collector activity caused by data.frame() than matrix(). $ R --vanilla .... > nr = 1000000 > system.time(m<<-matrix(integer(1), nrow=nr, ncol=2)) [1]

Hi, Please see below for post on r-help regarding data.frame() and the possibility of dropping rownames, for space and time reasons. I've made some changes, attached, and it seems to be working well. I see the expected space (90% saved) and time (10 times faster) savings. There are no doubt some bugs, and needs more work and testing, but I thought I would post first at this stage. Could some

Hi: I had asterisk with RealTime database working perfectly in a RH 9.0 machine. I used the sip cache so I even had MWI working. The problem is that I decided to move to Fedora Core 3. I installed the lastets cvs version of asterisk and the RealTime addon from asterisk-addons. I at first had the problems with the kernel and the zaptel driver but all that was solved with the

Is there an explanation anywhere of what code that uses a stack map looks like? I'm interested in writing a garbage collector, but it's not clear to me how my code should make use of the stack map format to actually locate roots in memory. -------------- next part -------------- An HTML attachment was scrubbed... URL:

On Aug 14, 2007, at 4:35 AM, Gordon Henriksen wrote: > On Aug 14, 2007, at 06:24, Gordon Henriksen wrote: > >> The two major problems I had really boil down to identifying GC >> points in machine code and statically identifying live roots at >> those GC points, both problems common to many collection >> techniques. Looking at the problem from that perspective

Hi, I implemented a garbage collector for a language I wrote in college using the llvm gc statepoint infrastructure. Information for statepoints: https://llvm.org/docs/Statepoints.html Example usage of parsing the llvm stackmap can be found at: https://github.com/dotnet/llilc/blob/master/lib/GcInfo/GcInfo.cpp https://llvm.org/docs/StackMaps.html#stackmap-format

On Aug 19, 2007, at 20:43, Chris Lattner wrote: > On Aug 14, 2007, at 4:35 AM, Gordon Henriksen wrote: > >> On Aug 14, 2007, at 06:24, Gordon Henriksen wrote: >> >>> The two major problems I had really boil down to identifying GC >>> points in machine code and statically identifying live roots at >>> those GC points, both problems common to many

> Subject: Re: [Rd] options(keep.source = TRUE) -- also for "library(.)" ? > From: Peter Dalgaard BSA <p.dalgaard@biostat.ku.dk> > Date: 27 Apr 2000 14:37:01 +0200 > > Martin Maechler <maechler@stat.math.ethz.ch> writes: > > > Can we [those of us who know how sys.source() works...] > > think of changing this? As it was possible for the base

I find that read.table cannot handle large datasets. Suppose data is a 40000 x 6 dataset R -v 100 x_read.table("data") gives Error: memory exhausted but x_as.data.frame(matrix(scan("data"),byrow=T,ncol=6)) works fine. read.table is less typing ,I can include the variable names in the first line and in Splus executes faster. Is there a fix for read.table on the way?

I'm exploring latency overhead of parallel PSOCK workers and noticed that serializing/unserializing data back to the main R session is significantly slower on Linux than it is on Windows/MacOS with similar hardware. Is there a reason for this difference and is there a way to avoid the apparent additional Linux overhead? I attempted to isolate the behavior with a test that simply returns

Hello all, I am having problems with memory when running R on my PC. I do not have many large objects in my workspace, and yet when trying to create a new vector I often encounter this error message: > lat <- header$lat[match(profile$id, header$id)] Error: cannot allocate vector of size 4575 Kb Since it seems like this may indicate that I don't have enough memory available, I

Hi all, please don't ask me why I tried this but....... I have observed some odd behaviour in the time taken to read a file. I tried searching the archives without much success, but that could be me. The first time I read a (60Mb) CSV file, takes a certain amount of time. The second time takes appreciably longer and the third and subsequent times very much shorter times. See below, $