similar to: memory problem

I would like to call C routines from Fortran under linux as suggested in section 5.6 of the "Writing R extensions" documentation. I'm familiar with Fortran but not with C. I understand the example provided in Fortran: subroutine testit() double precision normrnd, x call rndstart() x = normrnd() call dblepr("X was", 5, x, 1) call rndend() end but I don't understand

I am currently the only use-R at my company, but they are considering buy a more powerful server and letting multiple people use it. They asked me if R supports client-server setups. I know S+ has a server version that does that. I didn't find anything about that on CRAN, but hopefully someone can correct me. I did see some stuff about R web servers

Dear all; I experienced a memory allocation error while running gnls: > wBlplfe.wc <- update(wBlplfe.w, corr=corAR1()) Error: cannot allocate vector of size 37950 Kb In addition: Warning message: Reached total allocation of 256Mb: see help(memory.size) Increased memory limit to 512, 640 M, the allocation error persisted: > memory.limit(512) NULL > wBlplfe.wc <-

Dear helpers in this forum, This is a clarified version of my previous questions in this forum. I really need your generous help on this issue. > Suppose I have the following data set: > > id x y > 023 1 2 > 023 2 5 > 023 4 6 > 023 5 7 > 412 2 5 > 412 3 4 > 412 4 6 > 412 7 9 > 220 5 7 > 220 4 8 > 220 9 8 > ...... > Now I want to compute the

Dear R-help, I've run into a problem loading .RData: I was running a large computation, which supposedly produce a large R object. At the end of the session, I did a save.image() and then quit. The .RData has size 613,249,399 bytes. Now I can't get R to load this .RData file. Whenever I tried, I get "Error: vector memory exhausted (limit reached)". I tried adding

Hi, It is my understanding that the eigenvectors of a circulant matrix are given as follows: 1,omega,omega^2,....,omega^{p-1} where the matrix has dimension given by p x p and omega is one of p complex roots of unity. (See Bellman for an excellent discussion on this). The matrix created by the attached row and obtained using the following commands indicates no imaginary parts for the

Hi everybody, I have the source of a C program that includes some archives .c and some libraries .h. I'm developing a program using R and I want it to load the C program I told before. How can I do that? I was looking for some function in R to do that and I found the .C() but I can't understand how it works. Somebody could help me? Thanx, Talita Perciano Costa Leite Graduanda em

Hi, Does anyone know if R has the functionality to calculate a simple moving average. I cant seem to find it in the help menu. thanks, Wayne Dr Wayne R. Jones Statistician / Research Analyst KSS Group plc St James''s Buildings 79 Oxford Street Manchester M1 6SS Tel: +44(0)161 609 4084 Mob: +44(0)7810 523 713 KSS Ltd A division of Knowledge Support Systems Group plc Seventh

I hope that someone has had a similar trouble and will be able to help us : We , have installed the R package in a Digital Workstation with 500Mb of RAM memory, running under Unix operating system. The package works fine but when we try to start the program with more than 120Mb, (vsize - --120M) the workstation refuses to allocate this memory. The message that we get is: Fatal error:

Hi everyone, Could somebody explain to me what is the package/function for classification analysis. I am performing analysis of music files in the form of MIDI files. I end up with about 750 dependent variables from the analysis, I also have a number of independent/grouping variables that I set manually. What I would like is to be able to predict which group a particular MIDI files belongs to

The following command, temp <- read.table("c:/rfr/r/test.txt") reads the text file "test.txt", which contains the following lines: 21437 21438 21419-2 21420-2 21421-2 21422-2 and produces the following result: > temp V1 1 21437+0i 2 21438+0i 3 0+0i 4 0+0i 5 0+0i 6 0+0i > These "numbers" are actually sample ID's, and I

The cells are interpreted as counts, so by scaling you're analyzing a different experiment (one with fewer observations). So the chi-squared value will change (the terms (O-E)^2/E in the statistic scale linearly ignoring rounding and "Yates' continuity correction"). The chisq.test on the original data is a test of association. Conventionally you decide ahead of time on a

I am running R version ??? under Redhat 5.2. It seems as though the --nsize object has no effct on the size of the allocated Ncells as determined using gc(). Yes, I have that much data.... That is if I envoke R with R --vsize 100 --nsize 5000000 then type gc() I get free total Ncells 92202 200000 Vcells 12928414 13107200 Thanks Tony Long Ecology and Evolutionary Biology Steinhaus

Could anyone help me with the following issue. Using the GSL library in R I define the following code: ######### library(gsl); S<-function(n) { r<-0:n; ans<-sum(gsl_sf_choose(n,r)*(-1)^r*2^(2*r)*gamma_inc(6-2*r,2)) ans } ######### >SS(10) yields 34.91868 >SS(40) yields 5.340422 >SS(60) yields 180.3162 Doing the same computations in maple I get

here is my system memory: ronggui at 0[ronggui]$ free total used free shared buffers cached Mem: 256728 79440 177288 0 2296 36136 -/+ buffers/cache: 41008 215720 Swap: 481908 60524 421384 and i want to cluster my data using hclust.my data has 3 variables and 10000 cases.but it fails and saying have not

Take a look at package mgcv. Hope this helps. --Matt -----Original Message----- From: RenE J.V. Bertin [mailto:rjvbertin at despammed.com] Sent: Thursday, February 27, 2003 1:39 PM To: r-help at stat.math.ethz.ch Subject: [R] multidimensional function fitting Hello, I have been looking around for how to perform a multidimensional, arbitrary function fit (in any case non-linear; more below),

Hi, Is there a function in R that lets one represent an integer in binary format for a given number of bits? So an example would be.... > binary.function(num=5, num.of.bits=8) > "00000101" Or, is this something I have to write myself? Any help would be appreciated. Cheers, Sam.

Hi guys im having a problem getting R to numerically integrate for some function, say f(bhat)*optimize(G(bhat)), over bhat. Where id like to integrate this over some finite range, so that here as we integrate over bhat optimize would return a different optimum. For instance consider this simple example for which I cannot get R to return the desired result: f <- function(bhat) exp(bhat) g

Hi, Does anyone know a method for adding a linear/polynominal trend to a simulated arima model using the arima.sim function? Any help will be greatly appreciated. Cheers, Sam.

Perhaps, I should complement my previous e-mail question: I am trying to select variables through a quadratic discriminant analysis. It seems to me that a robust criterion is the value of the discriminatory power (i.e. the ratio of the separation of the class means to within-class variance) How can I obtain this ratio from V & R's qda() output ? Thanks (I hope this question is relevant) --