Rcpp Version 0.12.12
RcppInline/RcppInlineExample.r

The 'distribution of determinant' example as a demonstration of how to use inline and Rcpp for a simple function.

#!/usr/bin/env r
suppressMessages(library(Rcpp))
## NOTE: This is the old way to compile Rcpp code inline.
## The code here has left as a historical artifact and tribute to the old way.
## Please use the code under the "new" inline compilation section.
suppressMessages(library(inline))
foo <- '
IntegerVector vec(10000); // vec parameter viewed as vector of ints.
int i = 0;
for (int a = 0; a < 9; a++)
for (int b = 0; b < 9; b++)
for (int c = 0; c < 9; c++)
for (int d = 0; d < 9; d++)
vec(i++) = a*b - c*d;
return vec;
'
funx_old <- cxxfunction(signature(), foo, plugin = "Rcpp" )
## NOTE: Within this section, the new way to compile Rcpp code inline has been
## written. Please use the code next as a template for your own project.
cppFunction('IntegerVector funx(){
IntegerVector vec(10000); // vec parameter viewed as vector of ints.
int i = 0;
for (int a = 0; a < 9; a++)
for (int b = 0; b < 9; b++)
for (int c = 0; c < 9; c++)
for (int d = 0; d < 9; d++)
vec(i++) = a*b - c*d;
return vec;
}')
dd.inline.rcpp <- function() {
res <- funx()
tabulate(res)
}
print(mean(replicate(100,system.time(dd.inline.rcpp())["elapsed"]),trim=0.05))