Thanks. Ok, I'll see what I can come up with. I rewrote the example as a C++ class, wrapped it into an Rcpp module, and made a package ( see https://code.google.com/p/unm-r-programming/source/browse/#git%2FRaggedArray ). Major changes: I switched to column-major order (initial oversight), added automated growing, and a "serialize/de-serialize" path.
The big part that's missing is an intelligent apply method that lets the user simply pass a function. Example code for the above library: ### library(RaggedArray) test.obj = new(RaggedArray, 3, 10, 5) test.list <- list(1:5, 1:6, 1:7) test.obj$append(test.list) test.obj$append(test.list) str(test.obj) ## turn into something R can serialize save.obj <- test.obj$serialize() ## regenerate from R new.obj <- new(RaggedArray, save.obj) -Christian On Sat, Jul 5, 2014 at 11:05 AM, Dirk Eddelbuettel <e...@debian.org> wrote: > > Hi, > > On 3 July 2014 at 21:27, Christian Gunning wrote: > | I just posted a short article on ragged arrays in R and Rcpp (it will > | also be auto-posted to R-bloggers). I've tried to be as comprehensive > | as possible in discussing the problem background, as well as providing > | relevant citations. I'm curious to hear if anyone else has faced this > | problem, and if there are prior solutions that I've overlooked. > | > | > http://helmingstay.blogspot.com/2014/07/computational-speed-is-common-complaint.html > > Very nice. How about turning it into an Rcpp Gallery post too? > > As you know, either .Rmd, or .cpp with embedded R and md. > > Cheers, Dirk > > -- > http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org -- A man, a plan, a cat, a ham, a yak, a yam, a hat, a canal – Panama! _______________________________________________ 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
