For me, there are two reasons to learn Rcpp: 1. Rcpp provides a straightforward way to speed up existed R script.
I answered 2 question of speeding up R code on StackOverflow with Rcpp: http://stackoverflow.com/questions/14495697/speeding-up-a-repeated-function-call/14495967#14495967 For this question, Rcpp is 140 times faster. http://stackoverflow.com/questions/14494964/how-to-find-nearby-integers-efficiently/14496071#14496071 For this question, Rcpp is 7x times faster. The Rcpp way to speed up R code is so straightforward: re-implement the algorithm in C++ whose syntax is similar to R based on Rcpp. On the other hand, the R way to speed up R script requires sophisticated knowledge of R. 2. Rcpp makes it easy to integrate the existed C++/C library into R. Therefore, I could use more widely existed resources in my work. Last year, we wrote a paper in only 1 month which proposed a very fast algorithm to find all unique substring in a long string. The algorithm was based on suffix tree, and I failed to find a package of suffix tree in R. (I notice that there is a package named Rlibstree in bioconductor) I found one library in C and exposed it quickly into R with Rcpp Module. We release our code here: https://bitbucket.org/wush_iis/rsus Rhiredis is another example. --- Hope it helps. 2013/8/1 Dirk Eddelbuettel <e...@debian.org> > > I'm giving a talk to the Chicago RUG that is limited to 30 mins, and I > would > like to include some nice examples (besides standards like Fibonacci and > SimulatingPi). The other talk is on ggplot(2), so the house may be full > with > new users / non-C++ hackers. > > What examples should I talk about? Bonus points for links for list > questions, StackOverflow questions, or Rcpp Gallery posts. > > Dirk > > -- > Dirk Eddelbuettel | e...@debian.org | http://dirk.eddelbuettel.com > _______________________________________________ > Rcpp-devel mailing list > Rcpp-devel@lists.r-forge.r-project.org > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel >
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