similar to: two questions

Just found out [R 0.63, standard -v -n] : > rm(list=ls()) > gc() free total Ncells 96538 200000 Vcells 214008 250000 > hist(runif(50000)) Error: heap memory (1953 Kb) exhausted [needed 390 Kb more] which is a bit astonishing given that I still have room for 214000 double's > u1 <- runif(50000) > u2 <- runif(50000) > gc()

Batch: Putting q(save=F) at the end of my file does not work in my context because I can no longer source the file without quitting. I have that quit statement in my .First so that I always quit that way interactively. The problem is that it is ignored in batch. eigen: The crash occurs on my 586 running Red Hat Linux 2.0.27 but not on my son's 486 running SLackware Linix 2.0.29. We both

eigen(matrix(rep(1,9),ncol=3),only.values=T) works repeatedly but eventually (after 3 or 4 goes) gave a core dump of 11mb (I think only the first answer was right). if I type gc() immediately after the first call, I get a core dump right away (this might possibly be related to my huge core dumps with nlm) eigen(matrix(rep(1,9),ncol=3)) core dumps immediately after the first call Jim

(Sorry for the cross-post--- I wasn't sure which list is more appropriate...) Hi everyone, I've run into segfaults when using my randomForest package on large dataset (e.g., 100 x 15200) and large number of trees (e.g., ntree=7000 and mtry=3000). I'm wondering if anyone can give me some hints on where to look for the problem. The randomForest package mainly consists of two things:

(Sorry for the cross-post--- I wasn't sure which list is more appropriate...) Hi everyone, I've run into segfaults when using my randomForest package on large dataset (e.g., 100 x 15200) and large number of trees (e.g., ntree=7000 and mtry=3000). I'm wondering if anyone can give me some hints on where to look for the problem. The randomForest package mainly consists of two things:

I'm wondering if WRE Section 5.2 should be a little more explicit about misuse of integer values other than NA, 0, and 1 in LGLSXPs.? I'm thinking of this passage: > Logical values are sent as 0 (FALSE), 1 (TRUE) or INT_MIN = -2147483648 (NA, but only if NAOK is true), and the compiled code should return one of these three values. (Non-zero values other than INT_MIN are mapped to

I am having some difficulties using dynamically loaded C functions on a Sparc 10 with R compiled using cc (both R-0.49 and R-0.50). I get sporadic errors with the error message: Error: character variables must be duplicated in .C/.Fortran, with C functions which pass character variables. my C functions look like: anyfunc(char **filename, other variables ) This error message appears about 25%

I am having some difficulties using dynamically loaded C functions on a Sparc 10 with R compiled using cc (both R-0.49 and R-0.50). I get sporadic errors with the error message: Error: character variables must be duplicated in .C/.Fortran, with C functions which pass character variables. my C functions look like: anyfunc(char **filename, other variables ) This error message appears about 25%

Hello, I'm trying to create my own C code for use within R. While optimizing the code I've noticed that even while only using pointers to get my data to C the time needed still depends on data (vector) size. To test this, I've created an empty C function to which I've send vectors containing various sizes of elements. The time needed for each call is measured and plotted. I would

Dear R-devel, Last week I got several responses to my question about debugging segfaults in my code (original post below). After I changed the S_alloc() calls to Calloc()/Free(), the symptom was gone, but I was told to keep looking. So I did: o Switched to Calloc/Free. Electric Fence did not find any problem. o Put assert(index < bound); assert(index >=0); everywhere in the C routine

Hi all, Thanks to Prof. Ripley, Prof. Gentleman, and Simon Wood (did I miss anyone?). The problem seemed to have gone away. Everyone suggested using some malloc debugger (such as Electric Fence). All I did was following half of what BDR suggested below, i.e., changing all the S_alloc() calls to Calloc() and Free(). I didn't get to try efence, and the problem seems to have disappeared! As

Hi, guys. I posted this by accident at rcpp-dev, although it meant to be only to r-dev, so don't flame me here please, rcpp guys will do it there, i am sure :). I have some pretty large arrays in R and i wanted to do some time consuming modifications of these arrays in C++ without actually copying them, just by passing pointers to them. Since i don't know internal data structures of R, i

R-2.9.0/include/R_ext/Arith.h has: int R_IsNA(double); /* True for R's NA only */ int R_IsNaN(double); /* True for special NaN, *not* for NA */ int R_finite(double); /* True if none of NA, NaN, +/-Inf */ #define ISNA(x) R_IsNA(x) /* True for *both* NA and NaN. The first and last lines are contradictory - if R_IsNA is true only for NA, not NaN, then ISNA should be the same.

Hi, Sorry for my ignorance, but how can I see if a function is 'compiled code' or plain R? E.g. the daisy function from the cluster package.

Hello Forum, I'm calling C function from R.It is a small sample trial program. The C function will accept a character and a integer and print them. It is printing some special character instead of input character. Below are the C function, Wrapper code ,R code and R output. Please help me in this issue Thank you in advance C function (Name : checkstr.c) #include<stdio.h> int

Dear R users, the help for findInterval(x,vec) suggests a logarithmic dependence on N (=length(vec)), which would imply a binary search type algorithm. However, when I "test" this hypothesis, in the following manner: set.seed(-3645); l <- vector(); N.seq <- c(5000, 500000, 1000000, 10000000, 50000000);k <- 1 for (N in N.seq){ tmp <- sort(round(stats::rt(N, df=2), 2));

The search at www.r-project.org mentioned a function "gauss.hermite{rmutil}". However, 'install.packages("rmutil")' produced, 'No package "rmutil" on CRAN.' How can I find the current status of "gauss.hermite" and "rmutil"? Thanks, Spencer Graves

R Team, I was attempting to install Lindsey's rmutil.tgz and other non-CRAN packages using 'R INSTALL', for example 'R INSTALL rmutil.tgz' after downloading 'rmutil.tgz' from Lindsey's page (as linked from r-project.org page). Directly using the compressed file as 'R INSTALL rmutil.tgz' failed, though the shell help from 'R INSTALL --help'

Dear useR again, How can I read a dataset if lines in dataset did not have same elements (have different lengths), For example: 1 2, 4, 16, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 2 2, 13, 5, 1, 1, 3, 1, 1, 15, 5, 1, 1, 14, 1, 1 3 4, 5, 11, 1, 1, 6, 1, 1, 5, 14, 1, 1, 15, 1, 1 4 2, 5, 9, 1, 1, 14, 1, 1, 8, 16, 1, 1, 13, 1, 1 5 3, 7, 14, 1,

I am trying to get our database interface (PADI) working with R. The code does some memory allocation and for Splus there is an ifdef which controls whether malloc or S_alloc is called. I did nm R.binary | grep alloc to see if this was supported and I find there are some choices: [2490] | 446036| 272|FUNC |GLOB |0 |7 |R_alloc [806] | 693956| 312|FUNC |LOCL |0 |7