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This is a quick example of how you might use Rcpp to send and receive R ‘strings’ to and from R. We’ll demonstrate this with a few operations.
Sort a String with R
Note that we can do this in R in a fairly fast way:
my_strings <- c("apples", "and", "cranberries") R_str_sort <- function(strings) { sapply( strings, USE.NAMES=FALSE, function(x) { intToUtf8( sort( utf8ToInt( x ) ) ) }) } R_str_sort( my_strings ) [1] "aelpps" "adn" "abceeinrrrs"
Sort a String with C++/Rcpp
Let’s see if we can re-create the output with Rcpp.
#include <Rcpp.h> using namespace Rcpp; // [[Rcpp::export]] std::vector< std::string > cpp_str_sort( std::vector< std::string > strings ) { int len = strings.size(); for( int i=0; i < len; i++ ) { std::sort( strings[i].begin(), strings[i].end() ); } return strings; }
Note the main things we do here:
- Rcpp’s attributes handle any
as
-ing andwrap
-ing of vectors; we even just specify our return type asstd::vector< std::string >
. - We then call the
void
methodstd::sort
, which can sort a string in place, - … and we return that vector of strings.
Now, let’s test it, and let’s benchmark it as well.
cpp_str_sort( my_strings ) [1] "aelpps" "adn" "abceeinrrrs" long_strings <- rep( paste( collapse="", sample( letters, 1E5, replace=TRUE ) ), times=100 ) rbenchmark::benchmark( cpp_str_sort(long_strings), R_str_sort(long_strings), replications=3 ) test replications elapsed relative user.self 1 cpp_str_sort(long_strings) 3 0.898 1.000 0.883 2 R_str_sort(long_strings) 3 2.356 2.624 2.350 sys.self user.child sys.child 1 0.014 0 0 2 0.007 0 0
Note that the C++ implementation is quite a bit faster (on my machine). However, std::sort
will not handle UTF-8 encoded vectors.
Now, let’s do something crazy – let’s see if we can use Rcpp to perform an operation that takes a vector of strings, and returns a list of vectors of strings. (Or, in R parlance, a list of vectors of type character).
We’ll do a simple ‘split’, such that each string is split every n
indices.
Split a string at consecutive indices n
#include <Rcpp.h> using namespace Rcpp; // [[Rcpp::export]] List cpp_str_split( std::vector< std::string > strings, int n ) { int num_strings = strings.size(); List out(num_strings); for( int i=0; i < num_strings; i++ ) { int num_substr = strings[i].length() / n; std::vector< std::string > tmp; for( int j=0; j < num_substr; j++ ) { tmp.push_back( strings[i].substr( j*n, n ) ); } out[i] = tmp; } return out; }
Main things to notice:
- We declare the output to be a
List
, - We form a
List
container of sizenum_strings
, - We construct the split strings one by one, then place them back into our output container (note how with
out[i] = tmp
, we can assign our vector of strings directly as an element of the list), - We return the list we constructed.
cpp_str_split( c("abcd", "efgh", "ijkl"), 2 ) [[1]] [1] "ab" "cd" [[2]] [1] "ef" "gh" [[3]] [1] "ij" "kl" cpp_str_split( c("abc", "de"), 2 ) [[1]] [1] "ab" [[2]] [1] "de"
My solution is perhaps a bit deficient (bug or feature?) in that it truncates any strings not long enough; ideally, we’d either improve the C++ code or form an appropriate wrapper to the function in R (and warn the user if truncation might occur).
Hopefully this gives you a better idea how you might use Rcpp to perform more extensive string manipulation with R character vectors.
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