similar to: 64 bit R for Windows

I am assisting in the purchase of 64-bit Windows XP system for researchers who run R. These systems will have AMD Opteron processors and at least 4GB of RAM. I'd appreciate advice on whether there is a working version of R that can take full advantage of such systems. Milton F. L?pez IT Guy Inter-American Tuna Commission (IATTC) 8604 La Jolla Shores Drive La Jolla, CA 92037 Tel: (858)

I've posted this earlier and have not heard much so far. I'd really appreciate any guidance on this as we are about to order new hardware. We are buying Dell workstations with Red Hat Linux and 64-bit Xeon CPUs to run R. We could add a second processor to each system, or buy slightly faster single CPU systems. Is it possible to make a generalized statement as to what kind of performance

Dear Thomas, Thank you, yes, that sounds good, and I take the point about integer overflow. Various questions: (a) Is there some way I can try out the routine with this modification? (I am on a Linux system where I am just a user - I cannot install new versions of software myself) ? (b) Is there a reference you can give me to a published paper where the method being used to compute the

I've fixed this by adding 0.5/mn to q. The problem (at least in principle) with multiplying them all up is integer overflow. By the time 0.5/mn underflows to zero, missing one value in the distribution won't matter. -thomas On Fri, 18 Dec 2009, David John Allwright wrote: > Dear Thomas, Right, thank you. Yes, I haven't looked at the source code > (because I don't

Using the 64-bit Solaris compilers make check dumps core in La_rs at 73 F77_CALL(dsyev)(jobv, uplo, &n, rx, &n, rvalues, work, &lwork, &info); I can't reproduce it easily, but example(eigen) occasionally stops with Error: abs(sm - V %*% diag(lam) %*% t(V)) < 60 * Meps is not TRUE which might be connected. The tiny rounding errors in example(eigen) aren't

Dear Thomas, Right, thank you. Yes, I haven't looked at the source code (because I don't know C) but something like what you mention could well cause the kind of problems I am seeing: a loop being exectued one too few or one too many times. And yes, I think those quantities should be multiplied up by m*n to all become integers so we escape rounding error problems. David.

Hi, I have two further comments/questions about large datasets in R. 1. Does R's ability to handle large datasets depend on the operating system's use of virtual memory? In theory, at least, VM should make the difference between installed RAM and virtual memory on a hard drive primarily a determinant of how fast R will calculate rather than whether or not it can do the calculations.

[I had intended to CC: this to r-help when I replied to Prof. Lumley...] >Date: Mon, 05 Feb 2001 17:00:43 -0800 >To: Thomas Lumley <tlumley at u.washington.edu> >From: peter denisevich <pdenis2 at home.com> >Subject: Re: [R] RWin 1.2.1: Can't access sample datasets, e.g. MASS > >Many thanks, >I generated a correct filelist using (ugh) DOS's dir and then

Hi, I do have it installed on 2 Macs as well (OS X 10.2.8 and 10.3.7) and what I need does work, however if you do the command check routine some problems will likely be revealed. At least there were problems for me. Denis Le 08 févr. 2005, à 12:23, r-help-request@stat.math.ethz.ch a écrit : > De: Don MacQueen <macq@llnl.gov> > Date: 07 février 2005 16:05:14 GMT+01:00 > À:

--- On Fri, 6/11/09, tlumley at u.washington.edu <tlumley at u.washington.edu> wrote: > From: tlumley at u.washington.edu <tlumley at u.washington.edu> > Subject: Re: [Rd] A fix that for 'bquote' that may work? (PR#14031) > To: suharto_anggono at yahoo.com > Cc: r-devel at stat.math.ethz.ch, R-bugs at r-project.org > Date: Friday, 6 November, 2009, 11:42 PM >

-------------------------------------------------- From: "Ahoussou Sylvie" <sylvie.ahoussou at antilles.inra.fr> Sent: Friday, September 12, 2008 9:48 AM To: "Thomas Lumley" <tlumley at u.washington.edu> Subject: Re: [R] Complex sampling survey _ Use of survey package > Thanks for your answer > > I think I made a mistake when I recopied the 5 first rows of

Thomas, that's a good point. I was thinking of anscombe[x1::y1] making it clear which one, but you would then want just x1::y1 to have unambiguous meaning on its own, which is impossible. As for x1:xN, it's unambiguous on its own. I thought one of the great advantages of R was that it could use different methods so that a new operator would not be needed. The colon operator would just

After a extensive search about a tool or method to undelete/recover files deleted from a partition whit the ext3 FS, i want to make some comments about the use of this FS. What are the benefits of use the ext3 FS in a system (server, desktop, etc.) if i cant recover files deleted by an intruder if i want need to make forensics; or if i want to recover important files deleted (business, personal

> From: Thomas Lumley > > On Sun, 30 Oct 2005, Jonathan Rougier wrote: > > > I'm not sure about this. Perhaps I am a dinosaur, but my feeling is > > that if people are writing functions in R that might be subject to > > simple operations like outer products, then they ought to be writing > > vectorised functions! > > I would agree. How about an

For nested function calls it appears that a combination of environment() and '<<-' will also work: f1 <- function() { x <- rep(NA,4) # Object to be modified by function f2 environment(f2) <- sys.frame(1) # Make f1's environment available to f2 f2(2) # Changes 2nd element of x print(x) } f2 <- function(i) { #

In lm and glm, the weights command should only be used when the variances of the observations are inversely proportional to the weights. Recently, however, a question came up regarding how one could estimate lm and glm models with weights where the weights refer to number of observations (counts). Because lm and glm do not handle this case, SE values will be wrong if one uses the weight command

Hi, I have an asterisk running great, with 2 cisco 7912 phones converted to SIP, and a cisco 2600 xl w/ E1 and SIP. I?m thinking to expand the test adding more 7912, but I prefer not convert all the 7912 to SIP, so I?m tying to put CHAN_SCCP to work. I?ve get the sources from cvs.sourceforge.net but when I try to compile, get the followings errors: [root@asterisk01 chan_sccp]# make Now

I want to get a 64-bit machine/OS system so I can put 16Gb of RAM in it. As first I assumed that I would have to use the 64-bit version of R to make use of the 16Gb of RAM, which would mean that I would use the Linux version of R. But I have heard many posters say they run the 32-bit version of R on a 64-bit machine/OS. So my questions, in Windows 64-bit, how much memory would be available to

I have a dual Xeon 3.2GHz XDMCP server serving out about 50 Gnome desktops to thin clients. I currently am running 32 bit with 4GB of memory. Performance is fine, normally, and the machine runs with about 3GB in swap. However, if a user app suddenly sucks up the maximum allowed rss and virtual or 256MB/process as specified by ulimit, the resulting swap drags the machine down to the point that

Version 3.3 of "survey" is percolating through CRAN. Since the last announcement on this list, version 2.9, the main additions are calibration estimators: linear, bounded linear, raking ratio, bounded raking ratio, logit. Other updates and bug fixes are described in http://faculty.washington.edu/tlumley/survey/NEWS -thomas Thomas Lumley Assoc. Professor,