similar to: How to convert time_t to R date object

Dear R-Developers, I just started learning how to use Rcpp. Earlier while using it, I encountered an error as shown below: file74d8254b96d4.cpp: In function ‘Rcpp::NumericVector foo(Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::Function, Rcpp::Function)’: file74d8254b96d4.cpp:10: error: invalid operands of types ‘SEXPREC*’ and ‘R_len_t’ to binary ‘operator/’ make: ***

On 2 March 2015 at 09:09, Duncan Murdoch wrote: | I generally recommend that people use Rcpp, which hides a lot of the | details. It will generate your .Call calls for you, and generate the | C++ code that receives them; you just need to think about the real | problem, not the interface. It has its own learning curve, but I think | it is easier than using the low-level code that you need to

On 2 March 2015 at 16:37, Martin Maechler wrote: | | > On 2 March 2015 at 09:09, Duncan Murdoch wrote: | > | I generally recommend that people use Rcpp, which hides a lot of the | > | details. It will generate your .Call calls for you, and generate the | > | C++ code that receives them; you just need to think about the real | > | problem, not the interface. It has its own

dear members, I am using R to model stock prices but a slow "for" loop has stifled my research. I am using Rcpp to speed up my "for" loop. I am also using RcppEigen to implement block operations on xts objects..... how do I use RcppEigen? If I just load it by: > require(RcppEigen) it is not recognising the .block method in C++. If I include it inside

On 03/02/2015 04:37 PM, Martin Maechler wrote: > >> On 2 March 2015 at 09:09, Duncan Murdoch wrote: >> | I generally recommend that people use Rcpp, which hides a lot of the >> | details. It will generate your .Call calls for you, and generate the >> | C++ code that receives them; you just need to think about the real >> | problem, not the interface. It has its

Hello My colleagues asked me to install "R" with module "shiny". R version 3.0.1 compiled fine on Solaris 10 and is running well. I tried to install "shiny". With the dependencies "Rcpp" should be installed before. But the compile step did fail. See below. The initial error message is "Error in dyn.load(file, DLLpath = DLLpath, ...) :" Before

Hello My colleagues asked me to install "R" with module "shiny". R version 3.0.1 compiled fine on Solaris 10 and is running well. I tried to install "shiny". With the dependencies "Rcpp" should be installed before. But the compile step did fail. See below. The initial error message is "Error in dyn.load(file, DLLpath = DLLpath, ...) :"

Dear all, I am testing a simple C++ function that takes a double matrix as argument and which uses routines provided by the C++ Armadillo package. I am aware of the nice capabilities of Rcpp and RcppArmadillo which helps simplifying a lot and that I have already successfully tested. However, I had a hard time trying to figure out how the coercion from a REALSPX matrix to an arma::mat =

Source: xen Version: 4.17.3+10-g091466ba55-1.1 Severity: serious Tags: ftbfs Justification: fails to build from source (but built successfully in the past) X-Debbugs-Cc: sramacher at debian.org https://buildd.debian.org/status/fetch.php?pkg=xen&arch=armhf&ver=4.17.3%2B10-g091466ba55-1.1&stamp=1709892742&raw=0 xenstored_control.c:646:70: error: format ?%ld? expects argument of

Hi. Here is a piece of cpp code. It works, but I do not understand the rational for the use of "R::dpois" to call the function dpois since in the examples I have always found directly "dpois" or "Rcpp::dpois" that both do not work in my code. Could anyone be so patient to explain me why should it be like that? Thaks a lot, Enrico #include <Rcpp.h> using

What is the RcppArmadillo way to make binomial draws from a vector of probs, similar to what rbinom does in R? Thanx! -- View this message in context: http://r.789695.n4.nabble.com/rbinom-in-RcppArmadillo-tp4683593.html Sent from the R devel mailing list archive at Nabble.com.

On 12 November 2016 at 07:59, Dirk Eddelbuettel wrote: | | On 12 November 2016 at 14:23, Kirill M?ller wrote: | | Thanks. I have now CXX = g++ -std=c++98 in my /etc/R/Makeconf, it's | | picked up properly. I can only assume that the last -std= option wins if | | more than one are given on the same command line [1]. | | Good to know it works. | | I am still a little puzzled why it was

Source: xen Version: 4.17.3+10-g091466ba55-1 Severity: serious Tags: patch pending sid trixie Justification: library ABI skew on upgrade User: debian-arm at lists.debian.org Usertags: time-t NOTICE: these changes must not be uploaded to unstable yet! Dear maintainer, As part of the 64-bit time_t transition required to support 32-bit architectures in 2038 and beyond

Dear R-devel, I am trying to do something similar to dynamic length lists in R, but at C level. In R, that would be rather trivial: - determine the length of the list - create the list object - store the values for each component - access value components by using "[[" At C level, for a single component where I need to store a vector of length 5, I do: int *p_result; SEXP my_list =

One possibility might be to use Rcpp. An R matrix is stored in contiguous memory, which can be considered as a vector. Define a C++ function which operates on a vector in place, as in the following: library(Rcpp) cppFunction( 'void subtractConst(NumericVector x, double c) { for ( int i = 0; i < x.size(); ++i) x[i] = x[i] - c; }') Try this function out on a matrix. Here we

Thanks! I went through the online posts which supports the power of .Call over .C. But my probably naive question is why does this work for my code with R but not R-devel? And another question is related to using .Call. Based on the manual page, I do not need to change the function parameters when using .Call. So I can run like this: .Call("sppedUp", D, S, pD, pS, nrow(D), as.integer(N),

I doubt that R's basic matrix capabilities can handle this, but have a look at the Matrix package, especially if your matrix is some special form. Bert On Tue, Apr 11, 2023, 19:21 Shunran Zhang <szhang at ngs.gen-info.osaka-u.ac.jp> wrote: > Hi all, > > I am currently working with a quite large matrix that takes 300G of > memory. My computer only has 512G of memory. I

Thanks. I have now CXX = g++ -std=c++98 in my /etc/R/Makeconf, it's picked up properly. I can only assume that the last -std= option wins if more than one are given on the same command line [1]. -Kirill [1] http://stackoverflow.com/q/40563269/946850 On 12.11.2016 03:01, Dirk Eddelbuettel wrote: > On 11 November 2016 at 23:48, Kirill M?ller wrote: > | After upgrading to Ubuntu

Hi, I am trying to make a package B that extends another package A. Package A uses Rcpp, and I want to extend a class X used there. So package A has src/X.h and inst/include/X.h class X { ... } src/X.cpp X::X( arguments ) { ... } My package B wants to do this: DESCRIPTION [...] LinkingTo: Rcpp, RcppArmadillo, A Imports: Rcpp, RcppArmadillo, A src/Y.h class Y: public X { ... } src/Y.cpp

On Monday 18 May 2015 12:16:48 Thorsten Glaser wrote: > Arnd Bergmann dixit: > > >In the patch series I posted recently [1], I introduce new system calls to deal > >with modified data structures, but left the question open on how these should > >be best accessed from libc. The patches introduce a new __kernel_time64_t type > > Can we please have ioctls fixed for