similar to: Runtime error when run a RInside program compiled by intel c++ on windows

Hello, I have some problems to migrate to R >3.0 my devel machine (R.2.15.2). So I decided to start from scratch with a brand new virtual machine. Downloaded latest network install of debian testing, not stable (jessie/sid, SMP Debian 3.16.3-2 (2014-09-20) x86_64 GNU/Linux) installed only with ssh-server and basic utilities (no X). Then I installed R by: apt-get install

I have spent some hours browsing the RInside and rcpp documentation, lots of it; but ... as a programmer of C++ since 1990, on both Windows and Unix ... ( Solaris and Ubuntu, and Mandrake/Mandrivo Linux); I see a minor problem ...... Where is the rcpp.h header file?? The below code fails to compile as the RInside.h header file references the rcpp.h header file, which is not included with

I'm going to using RInside on windows enviroment. I installed all tools and packages according to Dirk's instruction. My R installation reside in d:\hli\programfiles\R-3.2.2. There's no problems with folders with spaces. The rtools is installed in d:\hli\programfiles\Rtools and MinGW in d: \hli\programfiles\MinGW. The R_HOME is set to d:\hli\programfiles\R-3.2.2. I

Hello, I am trying to use Rinside package in my VC++.Net program ( using Visual Studio 8.0 environment). I have downloaded Windows binary of RInside from the following link http://cran.r-project.org/web/packages/RInside/index.htm Version of RInside - 0.2.3 While compiling the program , i am getting about 69 error. Some of them are the folllowing ones. Please me in solving the following issue

The solution post is here: http://lists.r-forge.r-project.org/pipermail/rcpp-devel/2012-November/004771.html In the paragraph: I did need however to install Rcpp and RInside from source, and with the same compiler used to compile qtdensity (otherwise I would get additional linker errors). As I had trouble getting the (Cygwin-based) g++ shipped with Rtools to work with Qt, I used instead the

Hi Folks, I am creating a multi-threaded C++ application that initializes RInside in one of the child thread. I would also like to access support interfaces like Rcpp::Environment in the remaining child threads, so that I could access any "R" function associated with the environment initialized. When I run my program, I always get "C Stack limit too huge" errors. I looked

Hi, I am new to this list and apologize for my lack of experience in the subject. Does anyone here use RInside? I am trying to run the examples in /RInside/examples/standard such as rinside_sample_0, but I am getting the error: error while loading shared libraries: libR.so: cannot open shared object file: No such file or directory Does anyone know how to deal with this? I tried searching

Hi all, I am trying to figure out how to do this in R and I need your help. My journey started from something like the following: http://stackoverflow.com/questions/11365857/real-time-auto-updating-incremental-plot-in-r/1#1 n=1000 df=data.frame(time=1:n,y=runif(n)) window=100 for(i in 1:(n?\window)) { flush.console() plot(df$time,df$y,type='l',xlim=c(i,i+window)) Sys.sleep(.09) }

Hi all, I am trying to figure out how to do this in R and I need your help. My journey started from something like the following: http://stackoverflow.com/questions/11365857/real-time-auto-updating-incremental-plot-in-r/1#1 n=1000 df=data.frame(time=1:n,y=runif(n)) window=100 for(i in 1:(n?\window)) { flush.console() plot(df$time,df$y,type='l',xlim=c(i,i+window)) Sys.sleep(.09) }

Hello, I am developing an application using Qt framework and C++. I want to use R as statistics engine of my application. After doing some search on internet; I came to the conclusion that RCPP, MPI with RInside is what I need. The next logical task was to quickly tryout "qtdensity" project of RInside, for understanding the build and other settings. I hit some roadblock here and got

> Shield<SEXP> res(Rcpp_fast_eval(Rf_lang2(asEnvironmentSym, x), R_GlobalEnv)); The call should be protected before evaluation though. So more like: Shield<SEXP> call(Rf_lang2(asEnvironmentSym, x)); return Rcpp_fast_eval(call, R_GlobalEnv); Best, Lionel On 3/23/20, Dirk Eddelbuettel <edd at debian.org> wrote: > > > On 23 March 2020 at 17:07, Ben Bolker wrote: >

Is this application meant to be commercial? If so, R's open source license probably would forbid you to use it. I defer to those with real legal knowledge on this point, but you should check it. If it is not meant to be commercial, then ignore -- I have nothing useful to offer you. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and

If you adhere to the terms of the license for R you should be okay legally. If you use contributed packages they may have additional requirements. However, these terms are often overlooked by programmers targeting Windows, hence Bert's caution. As to the content of the original post itself, it is off-topic for this list... it belongs in R-devel (but you may need to study the Posting Guide

Thanks, that's really useful. One more question for you, or someone else here: const ArrayXd glmLink::linkFun(const ArrayXd& mu) const { return as<ArrayXd>(::Rf_eval(::Rf_lang2(as<SEXP>(d_linkFun), as<SEXP>(Rcpp::NumericVector(mu.data(), mu.data() + mu.size())) ), d_rho); } I guess I need that to read

Dear r-devel folks, [if this is more appropriate for r-pkg-devel please let me know and I'll repost it over there ...] I'm writing to ask for help with some R/C++ integration idioms that are used in a package I'm maintaining, that are unfamilar to me, and that are now being flagged as problematic by Tomas Kalibera's 'rchk' machinery (https://github.com/kalibera/rchk);

Hi, I am using RInside for one of the applications that I'm using. The error that occured is as follows. When I use R.parseEval("xyz") if the parse fails then the mb_m is not cleared and hence all subsequent calls to R.parseEval fail. example: when R.parseEval("stringConcatfactoryrandom") is executed the R instance looks like this (gdb) p R $7 = (RInside &)

Hi, We are a company developing a software mainly in C++. We want to integrate R inside our software in order to use mainly the engine (usual stats as mean, sigma, Pearson, outlier detection, CPA, multivariate, ...) and probably later the chart solution. Of course we don''t want to temporary write the data to some csv files and then do an ugly system() call :

Hi, We are a company developing a software mainly in C++. We want to integrate R inside our software in order to use mainly the engine (usual stats as mean, sigma, Pearson, outlier detection, CPA, multivariate, ...) and probably later the chart solution. Of course we don''t want to temporary write the data to some csv files and then do an ugly system() call :

Awesome, this gets the job done. To answer your question: When using C or C++ via Rinside or within a package, those functions do not listen to suppressMessages, e.g. `Rprintf` keeps printing to the console. Since it's common to use wrapper functions in R anyway, they can run `are_messages_suppressed` and pass the information on to an explicit `verbose` argument of the C / C++ function.

Hi, Can anyone tell me how to embed R code in a C++ file. I am actually using a mac running on the OSX 10.6.2 and the IDE Xcode Version 3.2 and I would like to embed the basic function like geometric, binomial, normal and hyper geometric distributions in a sample cpp file. I heard about the library RInside and i have downloaded the source code for mac but i do not know how to build it in