# STL random_sample

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An earlier post looked at random shuffle for permutations. The STL also supports creation of random samples.

Alas, it seems that this functionality has not been promoted to the C++ standard yet — so we will have to do with what is an extensions by the GNU g++ compiler.

The other drawback is the sampling without replacement.

As in the previous post, we use a function object conformant to the STL’s requirements for a random number generator to be able to use R’s RNG.

#include// wrapper around R's RNG such that we get a uniform distribution over // [0,n) as required by the STL algorithm inline int randWrapper(const int n) { return floor(unif_rand()*n); } // it would appear that randomSample is still only a GNU g++ extension ? #include // [[Rcpp::export]] Rcpp::NumericVector randomSample(Rcpp::NumericVector a, int n) { // clone a into b to leave a alone Rcpp::NumericVector b(n); __gnu_cxx::random_sample(a.begin(), a.end(), b.begin(), b.end(), randWrapper); return b; }

We can illustrate this on a simple example:

a <- 1:8 set.seed(42) randomSample(a, 4) [1] 1 2 7 4 set.seed(42) randomSample(a, 4) [1] 1 2 7 4

To

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