similar to: Increase memory size

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)

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 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)

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

Folks, Having problems getting started with SJava and request help. I get this error when running .JavaInit() (within RGui 1.5.1, on Windows 2000): Error in .JavaInit() : Couldn't start Java Virtual Machine: Cannot find the Omegahat interface manager class. Check you classpath! (Before you right back saying read the emails, please read further - in short, been there, done that)

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 <-

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

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)"

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

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 :

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.5.1 ESS 5.2.11 on Emacs 21.4.1 ------------------------- Colleagues Having read the posts on producing perfect graphs in R, or using inkscape to edit R graphics output, I have a related question. Lately I am publishing in a journal that is very picky about their graphics formats. It is more efficient for me to get the final picky details

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, In using the adapt function, I am getting the following warning: Ifail=2, lenwrk was too small. -- fix adapt() ! Check the returned relerr! in: adapt(ndim = 2, lower = lower.limit, upper = upper.limit, functn = pr.set, Would someone explain what the 'lenwrk' value indicates in order to help diagnose this issue. Also, what are the possible codes for Ifail, so I can set

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

R-help, I'm getting some unexpected behavior with subsetting a data frame (aircraft flight data) that I can't sort out. Here is a simplified version of my data frame and problem: > flight FlightID TailNo FlightDate HobbsTime FlightCost Date year 1 4497 6009K <NA> 2.2 330.0 <NA> NA 2 4498 6009K <NA>

Hi! I'm trying to start a credibility estimation study with a coule of data sets that are created for SAS. The data sets are saved as ".sas7bndx" and ".sas7bdat". I've tried reading them to R with the function 'read.xport' but this returns the error message 'Error in lookup.xport(file) : unable to open file'. Are there any other functions that one