Sine the 0.10.2 release, Rcpp contains an internal class Timer which can be used for fine-grained benchmarking. Romain motivated Timer in a post to the mailing * list where Timer is used to measure the different components of the costs of random number generation.

A slightly modified version of that example follows below.

#include 
#include 

using namespace Rcpp;

// [[Rcpp::export]]
NumericVector useTimer() {
    int n = 1000000;

    // start the timer
    Timer timer;
    for(int i=0; i
We get the following result, each expressing the cost per iteration in nanoseconds:
useTimer()


    get/put g/p+rnorm()  empty loop 
  1.634e+03   2.573e+03   2.620e-04 

The interesting revelation is that repeatedly calling GetRNGstate() and PutRNGstate() can amount to about 60% of the cost of RNG draws. Luckily, we usually only have to call these helper functions once per subroutine called from R (rather than repeatedly as shown here) so this is not really a permanent cost to bear when running simulations with R.
It also show the usefulness of a fine-grained timer at the code level.


		

	
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