rcpp

I have the following file cumsum_bounded.cpp #include <Rcpp.h> using namespace Rcpp; //' Cumulative sum. //' @param x numeric vector //' @param low lower bound //' @param high upper bound //' @param res bounded numeric vector //' @export //' @return bounded numeric vector // [[Rcpp::export]] NumericVector cumsum_bounded(NumericVector x, double low, double high) { NumericVector res(x.size()); double acc = 0; for (int i=0; i < x.size(); ++i) { acc += x[i]; if (acc < low) acc = low; else if (acc > high) acc = high; res[i] = acc; } return res; } I then Build & Reload and test out my new function.

When I came to know that I can create a R package with C++ using Rcpp, I was excited about it and eager to know development environment for it. And thanks to Fell Stat Blog , I could quickly establish a great environment using Eclipse with StatET, its plugin for R, to use Rcpp and RInside (another package for embedding R into your C++ application) on Windows. Since the blog was, however, based on OS X, several things required trial & error (& almost give-up) to adjust for Windows - it took me 6 hours of my leisure time. For example, you need to install Rtools to be able to compile C/C++ using

Is there any easy way to order a DataFrame by two (or more or one) of its columns within RCpp? There are many sorting algorithms available on the net, or I can use std::sort with a wrapper for DataFrame, but I was wondering if there is something already available within either RCpp or RCppArmadillo? I need to do this sorting / ordering as a part of another function DataFrame myFunc(DataFrame myDF, NumericVector x) { //// some code here DataFrame myDFsorted = sort (myDF, someColName1, someColName2) // how to sort?? //// some code here } I would like to avoid accessing R's order function within

Background Coming from R programming, I'm in the process of expanding to compiled code in the form of C/C++ with Rcpp . As a hands on exercise on the effect of loop interchange (and just C/C++ in general), I implemented equivalents to R's rowSums() and colSums() functions for matrices with Rcpp (I know these exist as Rcpp sugar and in Armadillo -- this was just an exercise). Question I have my C++ implementation of rowSums() and colSums() along with Rcpp sugar and arma::sum() versions in this matsums.cpp file . Mine are just simple loops like this: NumericVector Cpp_colSums(const NumericMatrix

cbind in R is relatively time consuming in repeated calls, but it also is powerful for various data types. I have written code that is 3X faster than cbind when binding two matrices. But bind_cols in dplyr package is merely 100X faster than cbind . It is only a pity that it cannot take matrix as input. Can someone make the code below more fast. Also, how do I fast bind sparse matrix? Here is the code I used: require( Rcpp ) func <- 'NumericMatrix mmult(NumericMatrix a,NumericMatrix b) { //the colnumber of first matrix int acoln=a.ncol(); //the colnumber of second matrix int bcoln=b.ncol(); /