Rcpp 0.7.5

February 9, 2010

(This article was first published on Romain Francois, Professional R Enthusiast, and kindly contributed to R-bloggers)

Dirk released Rcpp 0.7.5 yesterday

The main thing is the smarter wrap function that now uses techniques of type traits and template meta-programming to have a compile time guess at whether an object is wrappable, and how to do it. Currently wrappable types are :

  • primitive types : int, double, Rbyte, Rcomplex
  • std::string
  • STL containers such as std::vector as long as T is wrappable. This is not strictly tied to the STL, actually any type that has a nested type called iterator and member functions begin() and end() will do
  • STL maps keyed by strings such as std::map as long as T is wrappable
  • any class that can be implicitely converted to SEXP
  • any class for which the wrap template is partly or fully specialized. (The next version of RInside has an example of that)

Here comes an example (from our unit tests) :

        funx <- cfunction(signature(), 
        std::map< std::string,std::vector > m ;
        std::vector b ; b.push_back(1) ; b.push_back(2) ; m["b"] = b ;
        std::vector a ; a.push_back(1) ; a.push_back(2) ; a.push_back(2) ; m["a"] = a ;
        std::vector c ; c.push_back(1) ; c.push_back(2) ; c.push_back(2) ; c.push_back(2) ; m["c"] = c ;
        return wrap(m) ;
        Rcpp=TRUE, verbose=FALSE, includes = "using namespace Rcpp;" )
R> funx()
[1] 1 2 2

[1] 1 2

[1] 1 2 2 2

Apart from that, other things have changed, here is the relevant section of the NEWS for this release

    o 	wrap has been much improved. wrappable types now are :
    	- primitive types : int, double, Rbyte, Rcomplex, float, bool
    	- std::string
    	- STL containers which have iterators over wrappable types:
    	  (e.g. std::vector, std::deque, std::list, etc ...). 
    	- STL maps keyed by std::string, e.g std::map
    	- classes that have implicit conversion to SEXP
    	- classes for which the wrap template if fully or partly specialized
    	This allows composition, so for example this class is wrappable: 
    	std::vector< std::map > (if T is wrappable)
    o 	The range based version of wrap is now exposed at the Rcpp::
    	level with the following interface : 
    	Rcpp::wrap( InputIterator first, InputIterator last )
    	This is dispatched internally to the most appropriate implementation
    	using traits

    o	a new namespace Rcpp::traits has been added to host the various
    	type traits used by wrap

    o 	The doxygen documentation now shows the examples

    o 	A new file inst/THANKS acknowledges the kind help we got from others

    o	The RcppSexp has been removed from the library.
    o 	The methods RObject::asFoo are deprecated and will be removed
    	in the next version. The alternative is to use as.

    o	The method RObject::slot can now be used to get or set the 
    	associated slot. This is one more example of the proxy pattern
    o	Rcpp::VectorBase gains a names() method that allows getting/setting
    	the names of a vector. This is yet another example of the 
    	proxy pattern.
    o	Rcpp::DottedPair gains templated operator<< and operator>> that 
    	allow wrap and push_back or wrap and push_front of an object
    o	Rcpp::DottedPair, Rcpp::Language, Rcpp::Pairlist are less
    	dependent on C++0x features. They gain constructors with up
    	to 5 templated arguments. 5 was choosed arbitrarily and might 
    	be updated upon request.
    o	function calls by the Rcpp::Function class is less dependent
    	on C++0x. It is now possible to call a function with up to 
    	5 templated arguments (candidate for implicit wrap)
    o	added support for 64-bit Windows (thanks to Brian Ripley and Uwe Ligges)

To leave a comment for the author, please follow the link and comment on their blog: Romain Francois, Professional R Enthusiast.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , ,

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)