similar to: Parallel R expression evaluations

Hi, I'm new to R, and am trying to embed R into another application. I'm calling gev.fit() from the ismev package, and it is crashing somewhere inside it. gdb is not catching it, and valgrind is not showing any memory corruption issues. I suspect it's memory corruption, because it doesn't crash in exactly the same spot each time. I'm running R 2.12.2 on a 64 bit linux (Ubuntu

Dear List, When I try to parse code containing newline characters with R_ParseVector, I get a compilation error. How can I compile code that includes comments and newlines? I am using the following: void* my_compile(char *code) { SEXP cmdSexp, cmdExpr = R_NilValue; ParseStatus status; PROTECT (cmdSexp = allocVector (STRSXP, 1)); SET_STRING_ELT (cmdSexp, 0, mkChar (code));

Dear list, I am trying to implement a publish-subscribe mechanism in for an embedded R interpreter. But somehow my registered closures seem to get collected by the GC, even though I have protected them. I have reducted my code to the following sample. Sorry if it is a little verbose. The first couple of call of calls still work, but at some point one of the callbacks (callback1 in my

Hello, I'm evaluating this expression expression({ for(x in 1:5){ .Call('rh_status','x') }}) a million times from a program with R embedded in it. I have attached reproducible code that crashes with Program received signal SIGSEGV, Segmentation fault. 0x00002b499ca40a6e in R_gc_internal (size_needed=0) at memory.c:1309 1309 FORWARD_NODE(R_PPStack[i]); Current language:

Hi Sri, I haven't really elaborated on it having other stuff to prepare first, but as far as I got you first assign data to a vector: #include <R.h> #include <Rinternals.h> #undef R_INTERFACE_PTRS #include <Rembedded.h> #include "Rcpp.hpp" #include <R_ext/Parse.h> #include <Rinternals.h> #include <Rdefines.h> //assigning a vector SEXP

While doing some embedded programming and trying to figure out how to generate a hand coded SEXP equivalent of the line "t.test(x,conf.level=(1-p))$conf.int[2]" I had an idea for an addition to the embedded API. There are a number of hidden or static parse functions (R_ParseBuffer, R_Parse1Buffer, etc.) which take an IoBuffer* and returns a parsed tree. If one or more of these

I am having trouble with chan_zap.so not loading. When I load it from modules.conf, Asterisk bails out without any error message. When I load it from the console, it just says "Unable to load module chan_zap.so" no matter what verbose level I am using. dmesg says: Zaptel Version: 1.4.4 Zaptel Echo Canceller: MG2 Freshmaker version: 73 Freshmaker passed register test Module 0:

Hi all, Henrik Bengtsson has done some fantastic work with {future} and, more importantly, greatly improved constructing and deconstructing a parallelized environment within R. It was with great joy that I saw Henrik slowly split off some functionality of {future} into {parallelly} package. Reading over the package?s README, he states: > The functions and features added to this package are

FWIW, there are indeed a few low hanging bug fixes in 'parallelly' that should be easy to incorporate into 'parallel' without adding extra maintenance. For example, in parallel::makePSOCKcluster(), it is not possible to disable SSH option '-l USER' so that it can be set in ~/.ssh/config. The remote user name will be the user name of your local machine and if you try to

Hi, Is the below -- setSeed -- an okay way to set the seed in standalone applications making use of Rlib? It seems to work as expected. Is there a better way to do it? (I'm also looking at do_setseed but am unsure what to supply as op. findFun("set.seed", R_GlobalEnv)?) Thanks much. -- David Faden, dfaden at iastate.edu AIM: pitulx -- #include <assert.h> #include

Hi, I had a quick question I was hoping someone might be able to answer, as my journey through the source code so far has not been very profitable. I have a command line program that embeds R, and the program works just fine when run from the command line. However, when I run the program as a job in the LSF cluster at my institute, the following error occurs: Fatal error: you must specify

Hi, I am considering if I should invest in learning R. Based on the language definition and introductory documents, it seems nice. But now I am faced with a problem: I want to be able to run R programs easily from the unix shell, and write scripts that can automatically select R as the interpreter: #!/usr/bin/R cat("Hello world.\n") This of course doesn't work, because /usr/bin/R

Hi, I am considering if I should invest in learning R. Based on the language definition and introductory documents, it seems nice. But now I am faced with a problem: I want to be able to run R programs easily from the unix shell, and write scripts that can automatically select R as the interpreter: #!/usr/bin/R cat("Hello world.\n") This of course doesn't work, because /usr/bin/R

Hi is a list could be off topic ;) , but someone has installed the latest version of app_swift on centos 6 for asterisk 1.8 I'm trying to make with this manual, but have had no success http://www.cepstral.com/en/support/telephony/faq?os=linux&section=getting-started gcc -I/opt/swift/include -I/usr/include -g -Wall -fPIC -D_SWIFT_VER_6 -D_AST_VER_1_8 -c -o app_swift.o app_swift.c

Requirements: 1. http://sourceforge.net/projects/odbcsock 2. The SQL server must be in the same subnet as your * server Howto: 1. Install ODBCSocketServer on your SQL server and verify connection with the included VB COM app from a Windows box. 2. Decide how you want to transform the Caller ID. In my case, I want to do a lookup of the CallerID number in SQL server and prepend the Caller ID

I am looking for ways to add points to three different plots in parallel. I generate three scatter plots and name them as s3d1, s3d2 and s3d3 s3d1<-scatterplot3d(mtcars[,3],mtcars[,4],mtcars[,5],main="common",pch=20) s3d2<-scatterplot3d(mtcars[,3],mtcars[,4],mtcars[,5],main="common",pch=20)

lol just posted this yesterday, it's for any ODBC DSN so Access or SQL or an Excel spreadsheet, as long as it's set as a DSN. This will work with outgoing Caller ID as well, it's just how you set it up in your dialplan. If you want I can email you the .agi since email will undoubtedly mangle the script. hth. HOWTO: A simple AGI application to modify incoming CallerID on the fly using

Hey everyone, Thanks for all the input. It's happening again. This time for the packages "DBI", "parallelly", "segmented", "survival", "V8". So, RStudio shows updates for those and updating them via RStudio leads to this output: ``` > install.packages(c("DBI", "parallelly", "segmented", "survival",

Hi R-developers In the package Parallel, the function parLapply(cl, x, f) seems to allow transmission of only one parameter (x) to the function f. Hence in order to compute f(x, y) parallelly, I had to define f(x, y) as f(x) and tried to access y within the function, whereas y was defined outside of f(x). Script: library(parallel) f <- function(x) { z <- 2 * x + .GlobalEnv$y # Try to

Dear XAPIAN developers, I was using xapian to index large than 13 million document about Q & A(Quora similarly). I will share some performance data about indexing and searching, and I will seek some help for improving performance of searching. My computer has 8 i7 at 3.4G CPU and 16G memory, ubuntu 16.04. Dataset include about 13M document, each document will be cut into 35 term(Chinese