The data.table package might also be worth looking into. Best, -- Hao Ye h...@ucsd.edu
> On Jul 29, 2015, at 10:37 AM, Dirk Eddelbuettel <e...@debian.org> wrote: > > > On 29 July 2015 at 17:28, Rguy wrote: > | The reason I am interested in using call by reference is that I am accessing > | data frames with over a million rows and hundreds of columns. It is more > | efficient to operate on such a data frame directly, as opposed to copying it > | into and out of a function. In other words, I want to be *not* like R, > which is > | why I am interested in utilizing C++, which supports call by reference. > > You misunderstand. We communicate by SEXP. Where the P stands for pointer. > IE even with > > R> M <- as.data.frame(matrix(rnorm(1e6, 1e3))) > R> object.size(M) > 8000672 bytes > R> > > we'd still only pass the same 56 bytes a SEXP takes. See eg > https://cran.r-project.org/doc/manuals/R-ints.html#SEXPs and play with memory > profiling in R. > > Dirk > > -- > http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org > _______________________________________________ > 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 _______________________________________________ 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
