similar to: Single vs. dual CPUs

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)

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

Hi people, Do you have pointers to web documents that help me make comparisons between buying a server with two quad core 2.33 ghz or buying a 4 dual core 2ghz server? I am trying to answer a question of performance. It is not important the redundancy/failover or the price of the server. Just the performance. obviously all the hardware specs are the same, the question is the CPU. --

I realized that the script I included in my original post (see below) was written for an older version of rmetasim and will not work with the current version. The only change that need be made to get my script to run with the latest release of rmetasim is to change the command 'simulate.landscape()' to 'sim.landscape()'. My apologies to anyone who tried to use my script and

I recently obtained a desktop computer with an nVidia video card: from lspci: 02:00.0 VGA compatible controller: nVidia Corporation G84 [GeForce 8600 GT] (rev a1 I had to open the case to connect the DVD drive and saw what appears to be a fallen radiator: http://www.cs.ndsu.nodak.edu/~hennebry/computer/amd64-1.jpg http://www.cs.ndsu.nodak.edu/~hennebry/computer/amd64-2.jpg That nothing is shorted

System: Linux Ubuntu 7.10 Gibbon kernel 2.6.22-14-generic Emacs ver. 22.1.1 ESS ver. 5.3.0 R version 2.6.0 (2007-10-03) ------------------------------------------------ Colleagues This is a follow-up note to my earlier post under this header, giving my solution. First, with some trepidation I upgraded my ubuntu distro, and this time did a full reinstall, so I did not break my system, as I have

All, I'm trying to set up a function which calls the partialPlot function but am getting an error that I can't seem to solve. Here's a simplified version of the function and error... > pplot <- function(rf,pred.var){partialPlot(x=rf,pred.data=acoust,x.var=pred.var)} > > attach(acoust) > acoust.rf <-

ListeRs, Within the last two months, I thought I saw mention of an R function that would create a new data frame composed of duplicates or multiple copies of rows of an input data frame given one or several columns of values indicating how many times each row should be copied. As a simple example, given a dataframe: > in.df x y 1 A 1 2 B 2 3 C 3 "func.name (in.df, in.df$y)"

Hi, I am using a note book computer to do simulation. Even I added a commend line in the shortcut on my desktop for R. I still get a message saying reached total memory allocation of 502 Mb. Any suggestions will be welcome. Nancy -- Nancy C.H. Lo, Ph.D Southwest Fisheries Science Center 8604 La Jolla Shores Dr. La Jolla, CA 92037 858-546-7123(o) 858-546-5656(x)

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.4.1 ESS on Emacs 21.4.1 ------------------------- Colleagues I have some spatial patterns of sardine eggs (presence /absence) over 50 years (270 surveys) and I'd like to quantify the patches and gaps to determine how many patches (i.e. spawning areas) there were before the fishery collapse (1951-1965) and during recovery (post 1985).

I recently ran across an unexpected problem caused by combining lists that contained elements of the same name. I naively thought that the elements would get overwritten, but rather the "new" element gets added with the same name. A simplified version is : > my.list <- list(a = 1) > new.list <- c(my.list, list(a = "a", b = "b")) > new.list $a

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

Hello, I am using the function step.gam() from the 'gam' package (header info from library(help=gam) included below) and have come across some behavior that I cannot understand. In short, I have written a function that 1) creates a dataframe, 2) calls gam() to create a gam object, then 3) calls step.gam() to run stepwise selection on the output from gam(). When I do this, gam()

R-users, I'm seeking any suggestions on optimizing some code for speed. Here's the setup: the code below is part of a larger chunk that is calculating Fst values across loci and alleles. This chunk is designed to calculate the proportion ('p.a') of an allele ('a') at a locus in each population ('p') and the proportion of individuals heterozygous for that

Given the following data frame ("freq.sp"), > str(freq.sp) `data.frame': 42 obs. of 4 variables: $ behav : Factor w/ 6 levels "approach","bowride",..: 1 1 1 1 1 1 1 2 2 2 ... $ species: Factor w/ 7 levels "COAST_SPOT","EAST_SPINR",..: 1 2 3 4 5 6 7 1 2 3 ... $ n : int 193 194 563 357 570 369 74 194 208 633 ... $ pct :

I read FAQ (2.6 and 2.2) about increasing memory size, but it is not clear to me. Coule anyone give me an example? My computation exceeds 256Mb. Thank you for your time. Nancy -- Nancy C.H. Lo, Ph.D Southwest Fisheries Science Center NMFS, NOAA 8604 La Jolla Shores Drive La Jolla CA 92037 858-546-7123(o) 858-546-5656(x) Nancy.Lo at NOAA.GOV -------------- next part -------------- A non-text

List gurus, I'm trying to code a Gompertz growth curve function as part of a larger project and have run across a problem due to my ignorance of environments. Some sample data and the function are as follows: growth <- data.frame(age = c(1.92, 3, 5.83, 3.17, 15.5, 1.17, 5.58, 13.33, 14.29, 5.83, 13.79, 6.33, 13.75, 16.83, 13, 11.67, 0.25, 1.73, 9.46, 5.67), length = c(157, 165, 179,

R-listers, Given a polygon and a circle defined by its center coordinates and a radius, I would like to calculate the area of overlap. I know that I can create a polygon from the circle and then use available packages to get the area of the intersection. However, because the polygon is of a fixed size and I will be doing this for circles of varying sizes, I'm concerned about

I'm trying to use a contributed package (rmetasim) to generate simulated genetic datasets. My scripts work fine when I run them on a Sun workstation running Solaris 7 and when I run them on a ~4 year old laptop PC that I have. However, when I run them on my new laptop (Dell Latitude D410 purchased in August 2005), the simulation will run for a short (variable) period of time, then R

List users, Using Asterisk in an inbound call center environment has led us to pushing the limits of vertical scaling. In order to treat each caller fairly and to utilize our agents as efficiently as possible, it is desirable to configure each client as a single queue. As far as I know, Asterisk's queues cannot be distributed across servers, so the size of the largest queue we service