similar to: segmentation fault of unknown cause (PR#877)

Dear all, (sorry I got the wrong button for subscribing a minute ago) At the moment I'm writing on a package for random field simulation that I'd like to make publically availabe in near future. To this end I've asked Martin Maechler to have a look at my R-code. He was very surprised about how I perform the ".C"-calls, and encouraged me to make this request for comments.

Martin Maechler asked me to restate my problem. Compiling the file (slightly modified w.r.t. the formerly attached file) that can be found at http://www.geo.uni-bayreuth.de/~martin/filetransfer/xswms2d.Rd terminates with the error message ******* Syntax error: mismatched or missing brackets in /----- ..... \----- when compiled by R CMD Rdconv -t txt xswms2d.Rd However, the file does

Hi, I have problems when calling fft_factor and fft_work directly in my C-code. Martin Maechler already told me that I should not do this -- anyway, the code works fine if the length of the vector is a multiple of 2,3,5. If the length of the vector has different form I get, in some cases, a segmentation fault when work and iwork are freed (I use C's malloc to allocate memory for work and

Hi, I have attached a larger Rd file that causes an error when compiled by R CMD Rdconv -t txt xswms2d.Rd (for example). If the size is reduced the error vanishes, see the lines 230 and 527 in the file. I could not find an error within my text and so my guess is that there is some buffer overflow within the compiler. If it is me who has caused the error please let me know -- and many

Dear R Core Team, I'm wondering whether it is useful that every package should allow for help(PackageName), giving some general information about the package (more/nicer than library(help=PackageName)). This man page may include some mathematical or statistical background, or contain a guideline for the package. Cheers, Martin -- Martin Schlather email:

Hi, The help for `assign' says In all the assignment operator expressions, `x' can be a name or an expression defining a part of an object to be replaced (e.g., `z[[1]]'). The name does not need to be quoted, though it can be. So I would expect that by a<-1:4 assign("a[1]",2) the first component of a gets the value 2, but the object "a[1]" is

Hello everyone, I am looking at the joint spatial distribution of 2 kinds of organisms (estimated on a grid of points) and want to test for significant association or dissociation. My first question is: do you know a nice technique to do that, considering that I have a limited number of points (36) but that they are repeated (4 times)? I did GLMs to test for correlations between the

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) { #

[Hope this is the right list where to send...] An attempt to update package 'mnormt' involves the addition of a small new function called 'pd.solve'. When I come to the package checking stage, an error occurs in parsing pd.solve.Rd. The full transcript of the outcome is copied below (it includes details on my installation) but the critical point is where the \examples{} section

Dear R-devel During the last half a year I have several times encountered the following problem with optim() when using method= "L-BFGS-B". The function return a value which is clearly not the maximum (seen from printing the value each time the function is called). Some output is shown below. A few things I have observed (as I remember it): a. The problem seems to occur when the

Hello R-users,    I have a data frame whose names of columns I don't know a priori, but the user of my code will know them. The user is supposed to save the name of the column that will need some reordering of the levels of the factor later on. The name of the column will be saved in an object called: variab the data frame is called df. If I try to the do following:

I am typing the following on the command prompt: >variab = read.csv(file.choose(), header=T) >variab It lists 900,000 ( this is the total number of observations in "variab" ) minus 797124 observations and prompts the following message [ reached getOption("max.print") -- omitted 797124 entries ]] Is there a way to see the entire set of data, ie all of 900,000 obs, and

Hi, Please see the email exchanges below. I am having trouble generating output that is large enough for our needs, specifically when using the GaussRF function. However, when I wrote Dr. Schlather (the author of the GaussRF function), he indicated that there is also a limit imposed by R itself. Is this something that we can overcome? Thank you very much for any assistance you may provde.

Hello I have one DF (detheleny1periode), with some variables that mathes, in some way, variables in another DF (y2). The DF named detheleny1periode look like this (i have not included alle variables): CHR_NR diffdatoperiode 11377 29 11377 59 11377 78 with many different CHR_NR's. And the other DF named y2 look like this (i have not

After some reorganization, we would like to announce the availability on CRAN of a new version (1.6) of our package "distr" as well as the availabilty on CRAN of the new packages "distrEx", "distrSim", "distrTEst", "RandVar". ----------------------------------------------------------------------------------------- Changes from 1.5 to 1.6 -[former

After some reorganization, we would like to announce the availability on CRAN of a new version (1.6) of our package "distr" as well as the availabilty on CRAN of the new packages "distrEx", "distrSim", "distrTEst", "RandVar". ----------------------------------------------------------------------------------------- Changes from 1.5 to 1.6 -[former

Hola! santes<-c(210,169,187,160,167,176,185,206,173,146,174,201,198,148,154) sdespues<-c(201,165,166,157,147,145,168,180,147,136,151,168,179,129,131) dantes<-c(130,122,124,104,112,101,121,124,115,102,98,119,106,107,100) ddespues<-c(125,121,121,106,101,85,98,105,103,98,90,98,110,103,82) presion<-data.frame( santes, sdespues, dantes, ddespues) logvero <-

Hi, I get an "Conditional jump or move depends on uninitialised value(s)" from valgrind when using 'solve' in combination with some simple C-code. (I did not use other functions of R besides 'solve'.) In detail: running R --vanilla -d "valgrind --tool=memcheck --memcheck:leak-check=yes --num-callers=20 " and calling .Call("XXX") nd <- 3

We would like to announce the availability on CRAN of a new package distr . It is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution".

We would like to announce the availability on CRAN of a new package distr . It is to provide a conceptual treatment of random variables (r.v.'s) by means of S4--classes. A virtual mother class "Distribution" is introduced. All distributions of the "base" package are implemented as subclasses of either "AbscontDistribution" or "DiscreteDistribution".