search for: parseeval

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 &) @0x7fff13d42d10: {mb_m = {buffer = &...

...(via Rcpp package). The result come, as SEXP and it should be a simple numeric variable. How to convert it to double? The code, what i use: stringstream ss; ss << "p <- predict(fit_ar11, n.ahead = 2, doplot=FALSE);" << "p$pred[1]"; SEXP ans; int iRet = R.parseEval(ss.str().c_str()); if (iRet == 0 && ans != NULL) { // ??? } Cheers, Dima [[alternative HTML version deleted]]

...and "leaps", and I suspect it used in "lattice" as well. This idiom has not done good things for quite a while (ever?) but I noticed while running tests that it acts differently in R-3.4.0 than in R-3.3.3. Neither the old or new behavior is nice. E.g., in R-3.3.3 we get > parseEval <- function(text, envir) eval(parse(text=text), envir=envir) > parseEval('lattice::xyplot(mpg~hp, data=datasets::mtcars)$call', envir=new.env()) xyplot(expr, envir, enclos) and > evalInEnvir <- function(call, envir) eval(call, envir=envir) > evalInEnvir(quote(lattice::xyplo...

..." as well. > > > > This idiom has not done good things for quite a while (ever?) but I > noticed > > while running tests that it acts differently in R-3.4.0 than in R-3.3.3. > > Neither the old or new behavior is nice. E.g., in R-3.3.3 we get > > > >> parseEval <- function(text, envir) eval(parse(text=text), envir=envir) > >> parseEval('lattice::xyplot(mpg~hp, data=datasets::mtcars)$call', > > envir=new.env()) > > xyplot(expr, envir, enclos) > > > > and > > > >> evalInEnvir <- function(call, en...

...spect it > used in "lattice" as well. > > This idiom has not done good things for quite a while (ever?) but I noticed > while running tests that it acts differently in R-3.4.0 than in R-3.3.3. > Neither the old or new behavior is nice. E.g., in R-3.3.3 we get > >> parseEval <- function(text, envir) eval(parse(text=text), envir=envir) >> parseEval('lattice::xyplot(mpg~hp, data=datasets::mtcars)$call', > envir=new.env()) > xyplot(expr, envir, enclos) > > and > >> evalInEnvir <- function(call, envir) eval(call, envir=envir) >&g...

Dear All, I would like to use - plot, - curve inside a C++ program. What R package do you recommend? Rcpp? Thanks in advance, Paul

Hi I'm trying to implement something similar to the following R snippet using C. I seem to have hit the wall on accessing class slots using C. library(fPortfolio) lppData <- 100 * LPP2005.RET[, 1:6] ewSpec <- portfolioSpec() nAssets <- ncol(lppData) setWeights(ewSpec) <- rep(1/nAssets, times = nAssets) ewPortfolio <- feasiblePortfolio( data = lppData, spec = ewSpec,

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Hi, I'd like to construct an R list object in C++, fill it with relevant data, and pass it to an R function which will return a different list object back. I have browsed through all the R manuals, and examples under tests/Embedding, but can't figure out the correct way. Below is my code snippet: #include <Rinternals.h> // Rf_initEmbeddedR and other setups already performed

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