similar to: Use of .Fortran

Hi, I am a FORTRAN developer and I am 'translating' R functions in FORTRAN subroutines. I am 'new' to R. It's my first question in this mailing-list and English is not my natural language. Very often, an R function gives an 'array' as result and you don't have to bother with the dimension of the array : R creates automatically an array with the good length.

Hi Martyn, Many thanks for your answer. If I make it short : we can, once we know how to do it, 'drive' R from within FORTRAN for example to do a Myarray = seq(0, mydimension) in R once we have compute mydimension in FORTRAN. Is that correct ? If yes : it's too 'complicated' for the time I am hired (I mean I have been hired to do FORTRAN code not to learn R !). Second

[resent, plus small addition; I do not understand why gmail sent a weird charset.] Dear R wizards: I would love to write a general function that matches the slope of a plotted line in an xy-plot at a particular x,y location. something like x<- (1:10)^2; y<- 40:50; plot( x,y, type="l", xlim=c(0,90) ) srt.at5 = text.at.current.plot.with.slope( x, y, 5); text(

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

I'll go just a bit "fer-er." It appears the anomaly -- I hesitate to call it a bug -- is in the C code for duplicated.default(): > duplicated(letters[1:10],nmax=10) [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > duplicated(letters[1:10],nmax=9) [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE > duplicated(letters[1:10],nmax=8) ## for

Well, you won't like this, but it is kind of wimpily (is that a word?) documented: If you check the code of factor(), you will see that nmax appears as an argument in a call to unique(). ?unique says for nmax, "... see duplicated" . And ?duplicated says: "If nmax is set too small there is liable to be an error: nmax = 1 is silently ignored." So sometimes you get an error

I have been trying to understand how the argument 'nmax' works in 'factor' function. R-Documentation states - "Since factors typically have quite a small number of levels, for large vectors x it is helpful to supply nmax as an upper bound on the number of unique values." In the code below what is the reason for error when value of nmax is 24. Why did the same error not

Dear all, I was playing around with factor contrasts, and found the argument nmax on function factor. When using nmax=1, R froze completely, and I had to close it from task manager. After some debugging, I found that the problem is actually in unique-function, where the internal unique function is called: .Internal(unique(x, incomparables, fromLast, nmax)) More generally, it looks like

I would like to plot multiple random walks onto the same graph. My p variable dictates how may random walks there will be. par(mfrow=c(1,1)) p <- 100 N <- 1000 S0 <- 10 mu <- 0.03 sigma <- 0.2 nu <- mu-sigma^2/2 x <- matrix(rep(0,(N+1)*p),nrow=(N+1)) y <- matrix(rep(0,(N+1)*p),nrow=(N+1)) t<- (c(0:N))/N for (j in 1:p) { z <- rnorm(N,0,1) x[1,j] <- 0 y[1,j]

> You can call (some) R functionality from C When I read about 'R api' I thought that we could call all the functionality of R. I think that in the windows world, this is called OLE automation. From a pure programmer point of view, it is very convenient and my customer is creating a team of programmers. But, if only 'some' functionalities can be called, it's not so useful.

hi, I want to know just enter a string value entering a numeric value is make with the function scan () or scan (nmax = ..) but it does not work for string my goal is to enter three string: name and surname and date of birth I try with this code but it shows me errors print ("enter the name") name <- scan (nmax = 1) print ("enter the first name") firstName <- scan

Dear people, I'm trying to do some analysis of a data using the models by Royle & Donazio in their fantastic book, particular the following function: http://www.mbr-pwrc.usgs.gov/pubanalysis/roylebook/panel4pt1.fn that applied to my data and in the console is as follows: > `desman.y` <- structure(c(3L,4L,3L,2L,1L), .Names = c("1", "2", "3",

I have some compiled code that works under winXp but not under linux (kernel 2.6.10-5). I'm also using R 2.1.0 After debugging, I've discovered that in this code: #define NMAX 256 long **box; ... box = (long **)R_alloc(NMAX, sizeof(long *)); //<---HERE THE SIGSEGV for (i=0; i<NMAX; i++) box[i] = (long *) R_alloc(NMAX, sizeof(long)); inside the *first* call to the

I have some compiled code that works under winXp but not under linux (kernel 2.6.10-5). I'm also using R 2.1.0 After debugging, I've discovered that this code: #define NMAX 256 long **box; ... box = (long **)R_alloc(NMAX, sizeof(long *)); gives a null pointer, so subsequent line: for (i=0; i<NMAX; i++) box[i] = (long *) R_alloc(NMAX, sizeof(long)); gives a SIGSEGV signal.

Dear list, [cross-posting from Stack Overflow where this question has remained unanswered for two weeks] I'd like to perform a numerical integration in one dimension, I = int_a^b f(x) dx where the integrand f: x in IR -> f(x) in IR^p is vector-valued. integrate() only allows scalar integrands, thus I would need to call it many (p=200 typically) times, which sounds suboptimal. The

Hello, All: What can people tell me about converting back slashes to forward slashes in character strings? Several years ago, Prof. Ripley provided a solution, which I lost and have not been able to find. Below please find a function to do this. I do not find this very satisfactory, however, because it uses "scan" and therefore operates on an input not a

Hi, I am looking for an efficient way of skipping big chunks of lines on a connection (not necessarily at the beginning of the file). One way is to use read lines, e.g. readLines(1e6), but a) this incurs the overhead of construction of the return char vector and b) has a (fairly remote) potential to blow up the memory. Another way would be to use scan(), e.g. scan(con, skip=1e6, nmax=0)

http://www.nabble.com/file/p15359204/test.data.csv http://www.nabble.com/file/p15359204/test.data.csv test.data.csv Hi, I have used apply to have certian combinations, but when I try to use these combinations I get the error [Error in eval(expr, envir, enclos) : object "X.GDAXI" not found]. being a novice I donot understand that after applying combination to the data I cant access

Hello everyone, I recently made a 64-bit build of R-2.2.1 under Solaris 9 using gcc v.3.4.2. The server has 12GB memory, 6 Sparc CPUs and plenty of swap space. I was the only user at the time of the following experiment. I wanted to benchmark R's capability to read large data files and used a data set consisting of 2MM records with 65 variables in each row. All but 2 of the variables are of

I'm trying to import a table into R the file is about 700MB. Here's my first try: > DD<-read.table("01uklicsam-20070301.dat",header=TRUE) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 2: In scan(file, what,