The documentation is very straightforward, I suggest you describe what you want to do in more detail and what you don't understand about the functions when you try to use them. You basically create an array with ?ff or data.frame with ?ffdf and proceed from there - each page has examples. All I've ever done is make big objects and populate them in chunks, which is really natural and easy for an array. I did have specific memory caching issues on Windows when the object exceeds available memory, but still that was straightforward to describe and ask about specifically.
I've seen a lot of discussion on bigmemory being easier to understand, but I find that is far more limiting. Do a search on "ff tutorial" and explore the packages that rely on ff after working through the basic help pages in the package itself. The CRAN Task View "High Performance Computing" has an overview of the topic for a suite of packages (though it does not mention the tools in raster/rgdal, which are very good if you happen to use spatial grid data). Cheers, Mike. On Fri, Mar 15, 2013 at 11:18 PM, Fritz Zuhl <r_listse...@zuhl.org> wrote: > Hi, > I am looking for a good tutorial on the ff package. Any suggestions? > > Also, any other package would anyone recommend for dealing with data that > extends beyond the RAM would be greatly appreciated. > > Thanks, > Fritz Zuhl > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Michael Sumner Hobart, Australia e-mail: mdsum...@gmail.com [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
