I have written a .cpp file and I want to compile it to a .dll for use with R and RCPP. (without using the inline package).
开发者_Python百科I\'m translating R code to c++ and I\'d like to find an equivalent (optimal) structure which would allow the same kind of operations than a data frame, but in c++.
I want to look into rcpp to improve the speed of some of my R code without having to resort to messy C++ code (I\'ve had some success with that, but it looks like code from hell).
This is my first time trying Rcpp and this very simple problem is giving me trouble. I want to use nested for loops to operate 开发者_运维技巧on individual values of a matrix, one column at a time. Th
I\'m fighting with a strange problem in R. I use an old version of Rcpp to integrate R with some C++ (sadly upgrading is not an option!), the Rcpp I use is the old RccpTemplate one. However I doubt th
I am trying to use some code from OpenCV in an R package, using Rcpp to build the package.When I compile the c code on my machine, it works fine.
I am trying to use some code from OpenCV开发者_如何学Python in an R package, using Rcpp to build the package.When I compile the c code on my machine, it works fine.
I have been reading about how read.table is not efficient for large data files. Also how R is not suited for large data sets. So I was wondering where I can find what the practical limits are and any
I am using Rcpp and RInside, to interconnectmy 开发者_JAVA百科R based code to c++. I make multiple distinct calls to R from c++. I wanted to know if each call to R, creates a new instance of R ?
I want to compile a R code using RInside. But I am getting errors while using the function read.csv. The code snippet is given below:
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