> > * Wrap C++ class hierarchy. Virtual functions need to be supported. > > (SWIG can generate Python shadow classes that behave almost exactly > > like the underlying C++ classes) > > This is hard to do in R, because the R object model is quite different > from that of C++ (whereas Python's is more similar).
I guess I will have to learn R OOP in detail first. It would be terrible if I will have to re-write every C++ class in R (and without inheritance)! > > * Direct access to C++ data structure. For example, an object may keep > > a C array internally. I will need a method (maybe wrap this data into > > a R object) to read/write this array directly. > > That's not too hard provided you use C++ code to do the actual access. > That is, you write an R function that calls C++ code to do the work. > It's a lot harder if you want to keep it all in R, because it doesn't > understand C++ type definitions, alignment conventions, etc. So this has to be done through functions. In Python, I can create an object to wrap C array that can be accessed just like regular list. I guess it would be difficult to create a new data type in R. Anyway, where can I find the most complete information about implementation of R/OOP at C/C++ level? (Or should I write classes in R and call C++ functions for every member function?) I have not read http://cran.r-project.org/doc/manuals/R-exts.pdf in detail but my impression is that almost everything is done at a function (not object) level using .C(). Thanks. Bo ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
