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_listserve@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
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Michael Sumner
Hobart, Australia
e-mail: mdsumner@gmail.com

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